Migration of series commands (#515)

* corrected missing shellerror type

* batch dataframe commands

* removed option to find declaration with input

* ordered dataframe folders

* dataframe command name
* series commands

* date commands

* series commands

* series commands

* clippy correction

* rename commands

crates/nu-command/Cargo.toml

@@ -71,7 +71,11 @@ num = { version = "0.4.0", optional = true }
 [dependencies.polars]
 version = "0.18.0"
 optional = true
-features = ["default", "parquet", "json", "serde", "object", "checked_arithmetic", "strings"]
+features = [
+	"default", "parquet", "json", "serde", "object",
+	"checked_arithmetic", "strings", "cum_agg", "is_in",
+	"rolling_window", "strings"
+]
 
 [features]
 trash-support = ["trash"]
@@ -79,4 +83,4 @@ plugin = ["nu-parser/plugin"]
 dataframe = ["polars", "num"]
 
 [build-dependencies]
-shadow-rs = "0.8.1"
+shadow-rs = "0.8.1"

crates/nu-command/src/dataframe/append.rs

@@ -12,7 +12,7 @@ pub struct AppendDF;
 
 impl Command for AppendDF {
     fn name(&self) -> &str {
-        "dataframe append"
+        "dfr append"
     }
 
     fn usage(&self) -> &str {
@@ -30,8 +30,8 @@ impl Command for AppendDF {
         vec![
             Example {
                 description: "Appends a dataframe as new columns",
-                example: r#"let a = ([[a b]; [1 2] [3 4]] | dataframe to-df);
+                example: r#"let a = ([[a b]; [1 2] [3 4]] | dfr to-df);
-$a | dataframe append $a"#,
+    $a | dfr append $a"#,
                 result: Some(
                     NuDataFrame::try_from_columns(vec![
                         Column::new("a".to_string(), vec![1.into(), 3.into()]),
@@ -45,9 +45,8 @@ $a | dataframe append $a"#,
             },
             Example {
                 description: "Appends a dataframe merging at the end of columns",
-                //example: r#"let a = ([[a b]; [1 2] [3 4]] | to df); $a | append-df $a -col"#,
+                example: r#"let a = ([[a b]; [1 2] [3 4]] | dfr to-df);
-                example: r#"let a = ([[a b]; [1 2] [3 4]] | dataframe to-df);
+    $a | dfr append $a --col"#,
-$a | dataframe append $a --col"#,
                 result: Some(
                     NuDataFrame::try_from_columns(vec![
                         Column::new(
@@ -104,6 +103,6 @@ mod test {
 
     #[test]
     fn test_examples() {
-        test_dataframe(AppendDF {})
+        test_dataframe(vec![Box::new(AppendDF {})])
     }
 }

crates/nu-command/src/dataframe/column.rs

@@ -12,7 +12,7 @@ pub struct ColumnDF;
 
 impl Command for ColumnDF {
     fn name(&self) -> &str {
-        "dataframe column"
+        "dfr column"
     }
 
     fn usage(&self) -> &str {
@@ -28,7 +28,7 @@ impl Command for ColumnDF {
     fn examples(&self) -> Vec<Example> {
         vec![Example {
             description: "Returns the selected column as series",
-            example: "[[a b]; [1 2] [3 4]] | dataframe to-df | dataframe column a",
+            example: "[[a b]; [1 2] [3 4]] | dfr to-df | dfr column a",
             result: Some(
                 NuDataFrame::try_from_columns(vec![Column::new(
                     "a".to_string(),
@@ -76,6 +76,6 @@ mod test {
 
     #[test]
     fn test_examples() {
-        test_dataframe(ColumnDF {})
+        test_dataframe(vec![Box::new(ColumnDF {})])
     }
 }

crates/nu-command/src/dataframe/command.rs

@@ -10,7 +10,7 @@ pub struct Dataframe;
 
 impl Command for Dataframe {
     fn name(&self) -> &str {
-        "dataframe"
+        "dfr"
     }
 
     fn usage(&self) -> &str {

crates/nu-command/src/dataframe/describe.rs

@@ -17,7 +17,7 @@ pub struct DescribeDF;
 
 impl Command for DescribeDF {
     fn name(&self) -> &str {
-        "dataframe describe"
+        "dfr describe"
     }
 
     fn usage(&self) -> &str {
@@ -31,7 +31,7 @@ impl Command for DescribeDF {
     fn examples(&self) -> Vec<Example> {
         vec![Example {
             description: "dataframe description",
-            example: "[[a b]; [1 1] [1 1]] | dataframe to-df | dataframe describe",
+            example: "[[a b]; [1 1] [1 1]] | dfr to-df | dfr describe",
             result: Some(
                 NuDataFrame::try_from_columns(vec![
                     Column::new(
@@ -236,6 +236,6 @@ mod test {
 
     #[test]
     fn test_examples() {
-        test_dataframe(DescribeDF {})
+        test_dataframe(vec![Box::new(DescribeDF {})])
     }
 }

crates/nu-command/src/dataframe/drop.rs

@@ -13,7 +13,7 @@ pub struct DropDF;
 
 impl Command for DropDF {
     fn name(&self) -> &str {
-        "dataframe drop"
+        "dfr drop"
     }
 
     fn usage(&self) -> &str {
@@ -29,7 +29,7 @@ impl Command for DropDF {
     fn examples(&self) -> Vec<Example> {
         vec![Example {
             description: "drop column a",
-            example: "[[a b]; [1 2] [3 4]] | dataframe to-df | dataframe drop a",
+            example: "[[a b]; [1 2] [3 4]] | dfr to-df | dfr drop a",
             result: Some(
                 NuDataFrame::try_from_columns(vec![Column::new(
                     "b".to_string(),
@@ -106,6 +106,6 @@ mod test {
 
     #[test]
     fn test_examples() {
-        test_dataframe(DropDF {})
+        test_dataframe(vec![Box::new(DropDF {})])
     }
 }

crates/nu-command/src/dataframe/drop_nulls.rs

@@ -0,0 +1,120 @@
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Value,
+};
+
+use super::values::utils::convert_columns;
+use super::values::{Column, NuDataFrame};
+
+#[derive(Clone)]
+pub struct DropNulls;
+
+impl Command for DropNulls {
+    fn name(&self) -> &str {
+        "dfr drop-nulls"
+    }
+
+    fn usage(&self) -> &str {
+        "Drops null values in dataframe"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .optional(
+                "subset",
+                SyntaxShape::Table,
+                "subset of columns to drop nulls",
+            )
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![
+            Example {
+                description: "drop null values in dataframe",
+                example: r#"let df = ([[a b]; [1 2] [3 0] [1 2]] | dfr to-df);
+    let res = ($df.b / $df.b);
+    let a = ($df | dfr with-column $res --name res);
+    $a | dfr drop-nulls"#,
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![
+                        Column::new("a".to_string(), vec![1.into(), 1.into()]),
+                        Column::new("b".to_string(), vec![2.into(), 2.into()]),
+                        Column::new("res".to_string(), vec![1.into(), 1.into()]),
+                    ])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+            Example {
+                description: "drop null values in dataframe",
+                example: r#"let s = ([1 2 0 0 3 4] | dfr to-df);
+    ($s / $s) | dfr drop-nulls"#,
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![Column::new(
+                        "div_0_0".to_string(),
+                        vec![1.into(), 1.into(), 1.into(), 1.into()],
+                    )])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+        ]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let columns: Option<Vec<Value>> = call.opt(engine_state, stack, 0)?;
+
+    let (subset, col_span) = match columns {
+        Some(cols) => {
+            let (agg_string, col_span) = convert_columns(cols, call.head)?;
+            let agg_string = agg_string
+                .into_iter()
+                .map(|col| col.item)
+                .collect::<Vec<String>>();
+            (Some(agg_string), col_span)
+        }
+        None => (None, Span::unknown()),
+    };
+
+    let subset_slice = subset.as_ref().map(|cols| &cols[..]);
+
+    df.as_ref()
+        .drop_nulls(subset_slice)
+        .map_err(|e| {
+            ShellError::SpannedLabeledError("Error dropping nulls".into(), e.to_string(), col_span)
+        })
+        .map(|df| PipelineData::Value(NuDataFrame::dataframe_into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::test_dataframe::test_dataframe;
+    use super::super::WithColumn;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(DropNulls {}), Box::new(WithColumn {})])
+    }
+}

crates/nu-command/src/dataframe/dtypes.rs

@@ -10,7 +10,7 @@ pub struct DataTypes;
 
 impl Command for DataTypes {
     fn name(&self) -> &str {
-        "dataframe dtypes"
+        "dfr dtypes"
     }
 
     fn usage(&self) -> &str {
@@ -24,7 +24,7 @@ impl Command for DataTypes {
     fn examples(&self) -> Vec<Example> {
         vec![Example {
             description: "Dataframe dtypes",
-            example: "[[a b]; [1 2] [3 4]] | dataframe to-df | dataframe dtypes",
+            example: "[[a b]; [1 2] [3 4]] | dfr to-df | dfr dtypes",
             result: Some(
                 NuDataFrame::try_from_columns(vec![
                     Column::new(
@@ -101,6 +101,6 @@ mod test {
 
     #[test]
     fn test_examples() {
-        test_dataframe(DataTypes {})
+        test_dataframe(vec![Box::new(DataTypes {})])
     }
 }

crates/nu-command/src/dataframe/mod.rs

@@ -6,18 +6,24 @@ mod column;
 mod command;
 mod describe;
 mod drop;
+mod drop_nulls;
 mod dtypes;
 mod open;
 mod to_df;
+mod with_column;
+
+pub use series::*;
 
 pub use append::AppendDF;
 pub use column::ColumnDF;
 pub use command::Dataframe;
 pub use describe::DescribeDF;
 pub use drop::DropDF;
+pub use drop_nulls::DropNulls;
 pub use dtypes::DataTypes;
 pub use open::OpenDataFrame;
 pub use to_df::ToDataFrame;
+pub use with_column::WithColumn;
 
 use nu_protocol::engine::StateWorkingSet;
 
@@ -31,6 +37,53 @@ pub fn add_dataframe_decls(working_set: &mut StateWorkingSet) {
             };
         }
 
+    // Series commands
+    bind_command!(
+        AllFalse,
+        AllTrue,
+        ArgMax,
+        ArgMin,
+        ArgSort,
+        ArgTrue,
+        ArgUnique,
+        Concatenate,
+        Contains,
+        Cumulative,
+        GetDay,
+        GetHour,
+        GetMinute,
+        GetMonth,
+        GetNanosecond,
+        GetOrdinal,
+        GetSecond,
+        GetWeek,
+        GetWeekDay,
+        GetYear,
+        IsDuplicated,
+        IsIn,
+        IsNotNull,
+        IsNull,
+        IsUnique,
+        NNull,
+        NUnique,
+        NotSeries,
+        Rename,
+        Replace,
+        ReplaceAll,
+        Rolling,
+        SetSeries,
+        SetWithIndex,
+        Shift,
+        StrLengths,
+        StrSlice,
+        StrFTime,
+        ToLowerCase,
+        ToUpperCase,
+        Unique,
+        ValueCount
+    );
+
+    // Dataframe commands
     bind_command!(
         AppendDF,
         ColumnDF,
@@ -38,8 +91,10 @@ pub fn add_dataframe_decls(working_set: &mut StateWorkingSet) {
         DataTypes,
         DescribeDF,
         DropDF,
+        DropNulls,
         OpenDataFrame,
-        ToDataFrame
+        ToDataFrame,
+        WithColumn
     );
 }
 

crates/nu-command/src/dataframe/open.rs

@@ -14,7 +14,7 @@ pub struct OpenDataFrame;
 
 impl Command for OpenDataFrame {
     fn name(&self) -> &str {
-        "dataframe open"
+        "dfr open"
     }
 
     fn usage(&self) -> &str {
@@ -63,7 +63,7 @@ impl Command for OpenDataFrame {
     fn examples(&self) -> Vec<Example> {
         vec![Example {
             description: "Takes a file name and creates a dataframe",
-            example: "dataframe open test.csv",
+            example: "dfr open test.csv",
             result: None,
         }]
     }

crates/nu-command/src/dataframe/series/all_false.rs

@@ -0,0 +1,102 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, Value,
+};
+
+#[derive(Clone)]
+pub struct AllFalse;
+
+impl Command for AllFalse {
+    fn name(&self) -> &str {
+        "dfr all-false"
+    }
+
+    fn usage(&self) -> &str {
+        "Returns true if all values are false"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![
+            Example {
+                description: "Returns true if all values are false",
+                example: "[$false $false $false] | dfr to-df | dfr all-false",
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![Column::new(
+                        "all_false".to_string(),
+                        vec![true.into()],
+                    )])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+            Example {
+                description: "Checks the result from a comparison",
+                example: r#"let s = ([5 6 2 10] | dfr to-df);
+    let res = ($s > 9);
+    $res | dfr all-false"#,
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![Column::new(
+                        "all_false".to_string(),
+                        vec![false.into()],
+                    )])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+        ]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let series = df.as_series(call.head)?;
+    let bool = series.bool().map_err(|_| {
+        ShellError::SpannedLabeledError(
+            "Error converting to bool".into(),
+            "all-false only works with series of type bool".into(),
+            call.head,
+        )
+    })?;
+
+    let value = Value::Bool {
+        val: bool.all_false(),
+        span: call.head,
+    };
+
+    NuDataFrame::try_from_columns(vec![Column::new("all_false".to_string(), vec![value])])
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(AllFalse {})])
+    }
+}

crates/nu-command/src/dataframe/series/all_true.rs

@@ -0,0 +1,102 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, Value,
+};
+
+#[derive(Clone)]
+pub struct AllTrue;
+
+impl Command for AllTrue {
+    fn name(&self) -> &str {
+        "dfr all-true"
+    }
+
+    fn usage(&self) -> &str {
+        "Returns true if all values are true"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![
+            Example {
+                description: "Returns true if all values are true",
+                example: "[$true $true $true] | dfr to-df | dfr all-true",
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![Column::new(
+                        "all_true".to_string(),
+                        vec![true.into()],
+                    )])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+            Example {
+                description: "Checks the result from a comparison",
+                example: r#"let s = ([5 6 2 8] | dfr to-df);
+    let res = ($s > 9);
+    $res | dfr all-true"#,
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![Column::new(
+                        "all_true".to_string(),
+                        vec![false.into()],
+                    )])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+        ]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let series = df.as_series(call.head)?;
+    let bool = series.bool().map_err(|_| {
+        ShellError::SpannedLabeledError(
+            "Error converting to bool".into(),
+            "all-false only works with series of type bool".into(),
+            call.head,
+        )
+    })?;
+
+    let value = Value::Bool {
+        val: bool.all_true(),
+        span: call.head,
+    };
+
+    NuDataFrame::try_from_columns(vec![Column::new("all_true".to_string(), vec![value])])
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(AllTrue {})])
+    }
+}

crates/nu-command/src/dataframe/series/arg_max.rs

@@ -0,0 +1,81 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::{IntoSeries, NewChunkedArray, UInt32Chunked};
+
+#[derive(Clone)]
+pub struct ArgMax;
+
+impl Command for ArgMax {
+    fn name(&self) -> &str {
+        "dfr arg-max"
+    }
+
+    fn usage(&self) -> &str {
+        "Return index for max value in series"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns index for max value",
+            example: "[1 3 2] | dfr to-df | dfr arg-max",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "arg_max".to_string(),
+                    vec![1.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let res = series.arg_max();
+    let chunked = match res {
+        Some(index) => UInt32Chunked::new_from_slice("arg_max", &[index as u32]),
+        None => UInt32Chunked::new_from_slice("arg_max", &[]),
+    };
+
+    let res = chunked.into_series();
+    NuDataFrame::try_from_series(vec![res], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(ArgMax {})])
+    }
+}

crates/nu-command/src/dataframe/series/arg_min.rs

@@ -0,0 +1,81 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::{IntoSeries, NewChunkedArray, UInt32Chunked};
+
+#[derive(Clone)]
+pub struct ArgMin;
+
+impl Command for ArgMin {
+    fn name(&self) -> &str {
+        "dfr arg-min"
+    }
+
+    fn usage(&self) -> &str {
+        "Return index for min value in series"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns index for min value",
+            example: "[1 3 2] | dfr to-df | dfr arg-min",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "arg_min".to_string(),
+                    vec![0.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let res = series.arg_min();
+    let chunked = match res {
+        Some(index) => UInt32Chunked::new_from_slice("arg_min", &[index as u32]),
+        None => UInt32Chunked::new_from_slice("arg_min", &[]),
+    };
+
+    let res = chunked.into_series();
+    NuDataFrame::try_from_series(vec![res], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(ArgMin {})])
+    }
+}

crates/nu-command/src/dataframe/series/cumulative.rs

@@ -0,0 +1,129 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, Spanned, SyntaxShape,
+};
+use polars::prelude::{DataType, IntoSeries};
+
+enum CumType {
+    Min,
+    Max,
+    Sum,
+}
+
+impl CumType {
+    fn from_str(roll_type: &str, span: Span) -> Result<Self, ShellError> {
+        match roll_type {
+            "min" => Ok(Self::Min),
+            "max" => Ok(Self::Max),
+            "sum" => Ok(Self::Sum),
+            _ => Err(ShellError::SpannedLabeledErrorHelp(
+                "Wrong operation".into(),
+                "Operation not valid for cumulative".into(),
+                span,
+                "Allowed values: max, min, sum".into(),
+            )),
+        }
+    }
+
+    fn to_str(&self) -> &'static str {
+        match self {
+            CumType::Min => "cum_min",
+            CumType::Max => "cum_max",
+            CumType::Sum => "cum_sum",
+        }
+    }
+}
+
+#[derive(Clone)]
+pub struct Cumulative;
+
+impl Command for Cumulative {
+    fn name(&self) -> &str {
+        "dfr cum"
+    }
+
+    fn usage(&self) -> &str {
+        "Cumulative calculation for a series"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("type", SyntaxShape::String, "rolling operation")
+            .switch("reverse", "Reverse cumulative calculation", Some('r'))
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Cumulative sum for a series",
+            example: "[1 2 3 4 5] | dfr to-df | dfr cum sum",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0_cum_sum".to_string(),
+                    vec![1.into(), 3.into(), 6.into(), 10.into(), 15.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let cum_type: Spanned<String> = call.req(engine_state, stack, 0)?;
+    let reverse = call.has_flag("reverse");
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    if let DataType::Object(_) = series.dtype() {
+        return Err(ShellError::SpannedLabeledError(
+            "Found object series".into(),
+            "Series of type object cannot be used for cumulative operation".into(),
+            call.head,
+        ));
+    }
+
+    let cum_type = CumType::from_str(&cum_type.item, cum_type.span)?;
+    let mut res = match cum_type {
+        CumType::Max => series.cummax(reverse),
+        CumType::Min => series.cummin(reverse),
+        CumType::Sum => series.cumsum(reverse),
+    };
+
+    let name = format!("{}_{}", series.name(), cum_type.to_str());
+    res.rename(&name);
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(Cumulative {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_day.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetDay;
+
+impl Command for GetDay {
+    fn name(&self) -> &str {
+        "dfr get-day"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets day from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns day from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-day"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![4.into(), 4.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.day().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetDay {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_hour.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetHour;
+
+impl Command for GetHour {
+    fn name(&self) -> &str {
+        "dfr get-hour"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets hour from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns hour from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-hour"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![16.into(), 16.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.hour().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetHour {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_minute.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetMinute;
+
+impl Command for GetMinute {
+    fn name(&self) -> &str {
+        "dfr get-minute"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets minute from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns minute from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-minute"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![39.into(), 39.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.minute().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetMinute {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_month.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetMonth;
+
+impl Command for GetMonth {
+    fn name(&self) -> &str {
+        "dfr get-month"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets month from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns month from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-month"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![8.into(), 8.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.month().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetMonth {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_nanosecond.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetNanosecond;
+
+impl Command for GetNanosecond {
+    fn name(&self) -> &str {
+        "dfr get-nanosecond"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets nanosecond from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns nanosecond from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-nanosecond"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![0.into(), 0.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.nanosecond().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetNanosecond {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_ordinal.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetOrdinal;
+
+impl Command for GetOrdinal {
+    fn name(&self) -> &str {
+        "dfr get-ordinal"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets ordinal from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns ordinal from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-ordinal"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![217.into(), 217.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.ordinal().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetOrdinal {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_second.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetSecond;
+
+impl Command for GetSecond {
+    fn name(&self) -> &str {
+        "dfr get-second"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets second from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns second from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-second"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![18.into(), 18.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.second().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetSecond {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_week.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetWeek;
+
+impl Command for GetWeek {
+    fn name(&self) -> &str {
+        "dfr get-week"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets week from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns week from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-week"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![32.into(), 32.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.week().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetWeek {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_weekday.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetWeekDay;
+
+impl Command for GetWeekDay {
+    fn name(&self) -> &str {
+        "dfr get-weekday"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets weekday from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns weekday from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-weekday"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![1.into(), 1.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.weekday().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetWeekDay {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/get_year.rs

@@ -0,0 +1,87 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct GetYear;
+
+impl Command for GetYear {
+    fn name(&self) -> &str {
+        "dfr get-year"
+    }
+
+    fn usage(&self) -> &str {
+        "Gets year from date"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns year from a date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr get-year"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![2020.into(), 2020.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error casting to datetime type".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = casted.year().into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(GetYear {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/date/mod.rs

@@ -0,0 +1,21 @@
+mod get_day;
+mod get_hour;
+mod get_minute;
+mod get_month;
+mod get_nanosecond;
+mod get_ordinal;
+mod get_second;
+mod get_week;
+mod get_weekday;
+mod get_year;
+
+pub use get_day::GetDay;
+pub use get_hour::GetHour;
+pub use get_minute::GetMinute;
+pub use get_month::GetMonth;
+pub use get_nanosecond::GetNanosecond;
+pub use get_ordinal::GetOrdinal;
+pub use get_second::GetSecond;
+pub use get_week::GetWeek;
+pub use get_weekday::GetWeekDay;
+pub use get_year::GetYear;

crates/nu-command/src/dataframe/series/indexes/arg_sort.rs

@@ -0,0 +1,95 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct ArgSort;
+
+impl Command for ArgSort {
+    fn name(&self) -> &str {
+        "dfr arg-sort"
+    }
+
+    fn usage(&self) -> &str {
+        "Returns indexes for a sorted series"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .switch("reverse", "reverse order", Some('r'))
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![
+            Example {
+                description: "Returns indexes for a sorted series",
+                example: "[1 2 2 3 3] | dfr to-df | dfr arg-sort",
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![Column::new(
+                        "arg_sort".to_string(),
+                        vec![0.into(), 1.into(), 2.into(), 3.into(), 4.into()],
+                    )])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+            Example {
+                description: "Returns indexes for a sorted series",
+                example: "[1 2 2 3 3] | dfr to-df | dfr arg-sort -r",
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![Column::new(
+                        "arg_sort".to_string(),
+                        vec![3.into(), 4.into(), 1.into(), 2.into(), 0.into()],
+                    )])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+        ]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let mut res = df
+        .as_series(call.head)?
+        .argsort(call.has_flag("reverse"))
+        .into_series();
+    res.rename("arg_sort");
+
+    NuDataFrame::try_from_series(vec![res], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(ArgSort {})])
+    }
+}

crates/nu-command/src/dataframe/series/indexes/arg_true.rs

@@ -0,0 +1,85 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct ArgTrue;
+
+impl Command for ArgTrue {
+    fn name(&self) -> &str {
+        "dfr arg-true"
+    }
+
+    fn usage(&self) -> &str {
+        "Returns indexes where values are true"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns indexes where values are true",
+            example: "[$false $true $false] | dfr to-df | dfr arg-true",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "arg_true".to_string(),
+                    vec![1.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let series = df.as_series(call.head)?;
+    let bool = series.bool().map_err(|_| {
+        ShellError::SpannedLabeledError(
+            "Error converting to bool".into(),
+            "all-false only works with series of type bool".into(),
+            call.head,
+        )
+    })?;
+
+    let mut res = bool.arg_true().into_series();
+    res.rename("arg_true");
+
+    NuDataFrame::try_from_series(vec![res], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(ArgTrue {})])
+    }
+}

crates/nu-command/src/dataframe/series/indexes/arg_unique.rs

@@ -0,0 +1,86 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct ArgUnique;
+
+impl Command for ArgUnique {
+    fn name(&self) -> &str {
+        "dfr arg-unique"
+    }
+
+    fn usage(&self) -> &str {
+        "Returns indexes for unique values"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns indexes for unique values",
+            example: "[1 2 2 3 3] | dfr to-df | dfr arg-unique",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "arg_unique".to_string(),
+                    vec![0.into(), 1.into(), 3.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let mut res = df
+        .as_series(call.head)?
+        .arg_unique()
+        .map_err(|e| {
+            ShellError::SpannedLabeledError(
+                "Error extracting unique values".into(),
+                e.to_string(),
+                call.head,
+            )
+        })?
+        .into_series();
+    res.rename("arg_unique");
+
+    NuDataFrame::try_from_series(vec![res], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(ArgUnique {})])
+    }
+}

crates/nu-command/src/dataframe/series/indexes/mod.rs

@@ -0,0 +1,9 @@
+mod arg_sort;
+mod arg_true;
+mod arg_unique;
+mod set_with_idx;
+
+pub use arg_sort::ArgSort;
+pub use arg_true::ArgTrue;
+pub use arg_unique::ArgUnique;
+pub use set_with_idx::SetWithIndex;

crates/nu-command/src/dataframe/series/indexes/set_with_idx.rs

@@ -0,0 +1,179 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Value,
+};
+use polars::prelude::{ChunkSet, DataType, IntoSeries};
+
+#[derive(Clone)]
+pub struct SetWithIndex;
+
+impl Command for SetWithIndex {
+    fn name(&self) -> &str {
+        "dfr set-with-idx"
+    }
+
+    fn usage(&self) -> &str {
+        "Sets value in the given index"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("value", SyntaxShape::Any, "value to be inserted in series")
+            .required_named(
+                "indices",
+                SyntaxShape::Any,
+                "list of indices indicating where to set the value",
+                Some('i'),
+            )
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Set value in selected rows from series",
+            example: r#"let series = ([4 1 5 2 4 3] | dfr to-df);
+    let indices = ([0 2] | dfr to-df);
+    $series | dfr set-with-idx 6 -i $indices"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![6.into(), 1.into(), 6.into(), 2.into(), 4.into(), 3.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let value: Value = call.req(engine_state, stack, 0)?;
+
+    let indices_value: Value = call
+        .get_flag(engine_state, stack, "indices")?
+        .expect("required named value");
+    let indices_span = indices_value.span()?;
+    let indices = NuDataFrame::try_from_value(indices_value)?.as_series(indices_span)?;
+
+    let casted = match indices.dtype() {
+        DataType::UInt32 | DataType::UInt64 | DataType::Int32 | DataType::Int64 => {
+            indices.as_ref().cast(&DataType::UInt32).map_err(|e| {
+                ShellError::SpannedLabeledError(
+                    "Error casting indices".into(),
+                    e.to_string(),
+                    indices_span,
+                )
+            })
+        }
+        _ => Err(ShellError::SpannedLabeledErrorHelp(
+            "Incorrect type".into(),
+            "Series with incorrect type".into(),
+            indices_span,
+            "Consider using a Series with type int type".into(),
+        )),
+    }?;
+
+    let indices = casted
+        .u32()
+        .map_err(|e| {
+            ShellError::SpannedLabeledError(
+                "Error casting indices".into(),
+                e.to_string(),
+                indices_span,
+            )
+        })?
+        .into_iter()
+        .filter_map(|val| val.map(|v| v as usize));
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let res = match value {
+        Value::Int { val, span } => {
+            let chunked = series.i64().map_err(|e| {
+                ShellError::SpannedLabeledError("Error casting to i64".into(), e.to_string(), span)
+            })?;
+
+            let res = chunked.set_at_idx(indices, Some(val)).map_err(|e| {
+                ShellError::SpannedLabeledError("Error setting value".into(), e.to_string(), span)
+            })?;
+
+            NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        }
+        Value::Float { val, span } => {
+            let chunked = series.as_ref().f64().map_err(|e| {
+                ShellError::SpannedLabeledError("Error casting to f64".into(), e.to_string(), span)
+            })?;
+
+            let res = chunked.set_at_idx(indices, Some(val)).map_err(|e| {
+                ShellError::SpannedLabeledError("Error setting value".into(), e.to_string(), span)
+            })?;
+
+            NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        }
+        Value::String { val, span } => {
+            let chunked = series.as_ref().utf8().map_err(|e| {
+                ShellError::SpannedLabeledError(
+                    "Error casting to string".into(),
+                    e.to_string(),
+                    span,
+                )
+            })?;
+
+            let res = chunked
+                .set_at_idx(indices, Some(val.as_ref()))
+                .map_err(|e| {
+                    ShellError::SpannedLabeledError(
+                        "Error setting value".into(),
+                        e.to_string(),
+                        span,
+                    )
+                })?;
+
+            let mut res = res.into_series();
+            res.rename("string");
+
+            NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        }
+        _ => Err(ShellError::SpannedLabeledError(
+            "Incorrect value type".into(),
+            format!(
+                "this value cannot be set in a series of type '{}'",
+                series.dtype()
+            ),
+            value.span()?,
+        )),
+    };
+
+    res.map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(SetWithIndex {})])
+    }
+}

crates/nu-command/src/dataframe/series/masks/is_duplicated.rs

@@ -0,0 +1,95 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct IsDuplicated;
+
+impl Command for IsDuplicated {
+    fn name(&self) -> &str {
+        "dfr is-duplicated"
+    }
+
+    fn usage(&self) -> &str {
+        "Creates mask indicating duplicated values"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Create mask indicating duplicated values",
+            example: "[5 6 6 6 8 8 8] | dfr to-df | dfr is-duplicated",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "is_duplicated".to_string(),
+                    vec![
+                        false.into(),
+                        true.into(),
+                        true.into(),
+                        true.into(),
+                        true.into(),
+                        true.into(),
+                        true.into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let mut res = df
+        .as_series(call.head)?
+        .is_duplicated()
+        .map_err(|e| {
+            ShellError::SpannedLabeledError(
+                "Error finding duplicates".into(),
+                e.to_string(),
+                call.head,
+            )
+        })?
+        .into_series();
+
+    res.rename("is_duplicated");
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(IsDuplicated {})])
+    }
+}

crates/nu-command/src/dataframe/series/masks/is_in.rs

@@ -0,0 +1,104 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Value,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct IsIn;
+
+impl Command for IsIn {
+    fn name(&self) -> &str {
+        "dfr is-in"
+    }
+
+    fn usage(&self) -> &str {
+        "Checks if elements from a series are contained in right series"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("other", SyntaxShape::Any, "right series")
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Checks if elements from a series are contained in right series",
+            example: r#"let other = ([1 3 6] | dfr to-df);
+    [5 6 6 6 8 8 8] | dfr to-df | dfr is-in $other"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "is_in".to_string(),
+                    vec![
+                        false.into(),
+                        true.into(),
+                        true.into(),
+                        true.into(),
+                        false.into(),
+                        false.into(),
+                        false.into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let other_value: Value = call.req(engine_state, stack, 0)?;
+    let other_span = other_value.span()?;
+    let other_df = NuDataFrame::try_from_value(other_value)?;
+    let other = other_df.as_series(other_span)?;
+
+    let mut res = df
+        .as_series(call.head)?
+        .is_in(&other)
+        .map_err(|e| {
+            ShellError::SpannedLabeledError(
+                "Error finding in other".into(),
+                e.to_string(),
+                call.head,
+            )
+        })?
+        .into_series();
+
+    res.rename("is_in");
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(IsIn {})])
+    }
+}

crates/nu-command/src/dataframe/series/masks/is_not_null.rs

@@ -0,0 +1,78 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct IsNotNull;
+
+impl Command for IsNotNull {
+    fn name(&self) -> &str {
+        "dfr is-not-null"
+    }
+
+    fn usage(&self) -> &str {
+        "Creates mask where value is not null"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Create mask where values are not null",
+            example: r#"let s = ([5 6 0 8] | dfr to-df);
+    let res = ($s / $s);
+    $res | dfr is-not-null"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "is_not_null".to_string(),
+                    vec![true.into(), true.into(), false.into(), true.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let mut res = df.as_series(call.head)?.is_not_null();
+    res.rename("is_not_null");
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(IsNotNull {})])
+    }
+}

crates/nu-command/src/dataframe/series/masks/is_null.rs

@@ -0,0 +1,78 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct IsNull;
+
+impl Command for IsNull {
+    fn name(&self) -> &str {
+        "dfr is-null"
+    }
+
+    fn usage(&self) -> &str {
+        "Creates mask where value is null"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Create mask where values are null",
+            example: r#"let s = ([5 6 0 8] | dfr to-df);
+    let res = ($s / $s);
+    $res | dfr is-null"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "is_null".to_string(),
+                    vec![false.into(), false.into(), true.into(), false.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let mut res = df.as_series(call.head)?.is_null();
+    res.rename("is_null");
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(IsNull {})])
+    }
+}

crates/nu-command/src/dataframe/series/masks/is_unique.rs

@@ -0,0 +1,90 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct IsUnique;
+
+impl Command for IsUnique {
+    fn name(&self) -> &str {
+        "dfr is-unique"
+    }
+
+    fn usage(&self) -> &str {
+        "Creates mask indicating unique values"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Create mask indicating unique values",
+            example: "[5 6 6 6 8 8 8] | dfr to-df | dfr is-unique",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "is_unique".to_string(),
+                    vec![
+                        true.into(),
+                        false.into(),
+                        false.into(),
+                        false.into(),
+                        false.into(),
+                        false.into(),
+                        false.into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let mut res = df.as_series(call.head)?.is_unique().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error finding unique values".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+    res.rename("is_unique");
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(IsUnique {})])
+    }
+}

crates/nu-command/src/dataframe/series/masks/mod.rs

@@ -0,0 +1,15 @@
+mod is_duplicated;
+mod is_in;
+mod is_not_null;
+mod is_null;
+mod is_unique;
+mod not;
+mod set;
+
+pub use is_duplicated::IsDuplicated;
+pub use is_in::IsIn;
+pub use is_not_null::IsNotNull;
+pub use is_null::IsNull;
+pub use is_unique::IsUnique;
+pub use not::NotSeries;
+pub use set::SetSeries;

crates/nu-command/src/dataframe/series/masks/not.rs

@@ -0,0 +1,82 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+use std::ops::Not;
+
+#[derive(Clone)]
+pub struct NotSeries;
+
+impl Command for NotSeries {
+    fn name(&self) -> &str {
+        "dfr not"
+    }
+
+    fn usage(&self) -> &str {
+        "Inverts boolean mask"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Inverts boolean mask",
+            example: "[$true $false $true] | dfr to-df | dfr not",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![false.into(), true.into(), false.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let bool = series.bool().map_err(|e| {
+        ShellError::SpannedLabeledError("Error inverting mask".into(), e.to_string(), call.head)
+    })?;
+
+    let res = bool.not();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(NotSeries {})])
+    }
+}

crates/nu-command/src/dataframe/series/masks/set.rs

@@ -0,0 +1,163 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Value,
+};
+use polars::prelude::{ChunkSet, DataType, IntoSeries};
+
+#[derive(Clone)]
+pub struct SetSeries;
+
+impl Command for SetSeries {
+    fn name(&self) -> &str {
+        "dfr set"
+    }
+
+    fn usage(&self) -> &str {
+        "Sets value where given mask is true"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("value", SyntaxShape::Any, "value to be inserted in series")
+            .required_named(
+                "mask",
+                SyntaxShape::Any,
+                "mask indicating insertions",
+                Some('m'),
+            )
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Shifts the values by a given period",
+            example: r#"let s = ([1 2 2 3 3] | dfr to-df | dfr shift 2);
+    let mask = ($s | dfr is-null);
+    $s | dfr set 0 --mask $mask"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![0.into(), 0.into(), 1.into(), 2.into(), 2.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let value: Value = call.req(engine_state, stack, 0)?;
+
+    let mask_value: Value = call
+        .get_flag(engine_state, stack, "mask")?
+        .expect("required named value");
+    let mask_span = mask_value.span()?;
+    let mask = NuDataFrame::try_from_value(mask_value)?.as_series(mask_span)?;
+
+    let bool_mask = match mask.dtype() {
+        DataType::Boolean => mask.bool().map_err(|e| {
+            ShellError::SpannedLabeledError(
+                "Error casting to bool".into(),
+                e.to_string(),
+                mask_span,
+            )
+        }),
+        _ => Err(ShellError::SpannedLabeledError(
+            "Incorrect type".into(),
+            "can only use bool series as mask".into(),
+            mask_span,
+        )),
+    }?;
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let res = match value {
+        Value::Int { val, span } => {
+            let chunked = series.i64().map_err(|e| {
+                ShellError::SpannedLabeledError("Error casting to i64".into(), e.to_string(), span)
+            })?;
+
+            let res = chunked.set(bool_mask, Some(val)).map_err(|e| {
+                ShellError::SpannedLabeledError("Error setting value".into(), e.to_string(), span)
+            })?;
+
+            NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        }
+        Value::Float { val, span } => {
+            let chunked = series.as_ref().f64().map_err(|e| {
+                ShellError::SpannedLabeledError("Error casting to f64".into(), e.to_string(), span)
+            })?;
+
+            let res = chunked.set(bool_mask, Some(val)).map_err(|e| {
+                ShellError::SpannedLabeledError("Error setting value".into(), e.to_string(), span)
+            })?;
+
+            NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        }
+        Value::String { val, span } => {
+            let chunked = series.as_ref().utf8().map_err(|e| {
+                ShellError::SpannedLabeledError(
+                    "Error casting to string".into(),
+                    e.to_string(),
+                    span,
+                )
+            })?;
+
+            let res = chunked.set(bool_mask, Some(val.as_ref())).map_err(|e| {
+                ShellError::SpannedLabeledError("Error setting value".into(), e.to_string(), span)
+            })?;
+
+            let mut res = res.into_series();
+            res.rename("string");
+
+            NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        }
+        _ => Err(ShellError::SpannedLabeledError(
+            "Incorrect value type".into(),
+            format!(
+                "this value cannot be set in a series of type '{}'",
+                series.dtype()
+            ),
+            value.span()?,
+        )),
+    };
+
+    res.map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::super::super::{IsNull, Shift};
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![
+            Box::new(SetSeries {}),
+            Box::new(IsNull {}),
+            Box::new(Shift {}),
+        ])
+    }
+}

crates/nu-command/src/dataframe/series/mod.rs

@@ -1 +1,37 @@
+mod date;
+pub use date::*;
 
+mod string;
+pub use string::*;
+
+mod masks;
+pub use masks::*;
+
+mod indexes;
+pub use indexes::*;
+
+mod all_false;
+mod all_true;
+mod arg_max;
+mod arg_min;
+mod cumulative;
+mod n_null;
+mod n_unique;
+mod rename;
+mod rolling;
+mod shift;
+mod unique;
+mod value_counts;
+
+pub use all_false::AllFalse;
+pub use all_true::AllTrue;
+pub use arg_max::ArgMax;
+pub use arg_min::ArgMin;
+pub use cumulative::Cumulative;
+pub use n_null::NNull;
+pub use n_unique::NUnique;
+pub use rename::Rename;
+pub use rolling::Rolling;
+pub use shift::Shift;
+pub use unique::Unique;
+pub use value_counts::ValueCount;

crates/nu-command/src/dataframe/series/n_null.rs

@@ -0,0 +1,79 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, Value,
+};
+
+#[derive(Clone)]
+pub struct NNull;
+
+impl Command for NNull {
+    fn name(&self) -> &str {
+        "dfr count-null"
+    }
+
+    fn usage(&self) -> &str {
+        "Counts null values"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Counts null values",
+            example: r#"let s = ([1 1 0 0 3 3 4] | dfr to-df);
+    ($s / $s) | dfr count-null"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "count_null".to_string(),
+                    vec![2.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let res = df.as_series(call.head)?.null_count();
+    let value = Value::Int {
+        val: res as i64,
+        span: call.head,
+    };
+
+    NuDataFrame::try_from_columns(vec![Column::new("count_null".to_string(), vec![value])])
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(NNull {})])
+    }
+}

crates/nu-command/src/dataframe/series/n_unique.rs

@@ -0,0 +1,85 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, Value,
+};
+
+#[derive(Clone)]
+pub struct NUnique;
+
+impl Command for NUnique {
+    fn name(&self) -> &str {
+        "dfr count-unique"
+    }
+
+    fn usage(&self) -> &str {
+        "Counts unique values"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Counts unique values",
+            example: "[1 1 2 2 3 3 4] | dfr to-df | dfr count-unique",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "count_unique".to_string(),
+                    vec![4.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let res = df.as_series(call.head)?.n_unique().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error counting unique values".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let value = Value::Int {
+        val: res as i64,
+        span: call.head,
+    };
+
+    NuDataFrame::try_from_columns(vec![Column::new("count_unique".to_string(), vec![value])])
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(NUnique {})])
+    }
+}

crates/nu-command/src/dataframe/series/rename.rs

@@ -0,0 +1,79 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape,
+};
+
+#[derive(Clone)]
+pub struct Rename;
+
+impl Command for Rename {
+    fn name(&self) -> &str {
+        "dfr rename"
+    }
+
+    fn usage(&self) -> &str {
+        "Renames a series"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("name", SyntaxShape::String, "new series name")
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Renames a series",
+            example: "[5 6 7 8] | dfr to-df | dfr rename new_name",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "new_name".to_string(),
+                    vec![5.into(), 6.into(), 7.into(), 8.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let name: String = call.req(engine_state, stack, 0)?;
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let mut series = df.as_series(call.head)?;
+    series.rename(&name);
+
+    NuDataFrame::try_from_series(vec![series], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(Rename {})])
+    }
+}

crates/nu-command/src/dataframe/series/rolling.rs

@@ -0,0 +1,163 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, Spanned, SyntaxShape,
+};
+use polars::prelude::{DataType, IntoSeries, RollingOptions};
+
+enum RollType {
+    Min,
+    Max,
+    Sum,
+    Mean,
+}
+
+impl RollType {
+    fn from_str(roll_type: &str, span: Span) -> Result<Self, ShellError> {
+        match roll_type {
+            "min" => Ok(Self::Min),
+            "max" => Ok(Self::Max),
+            "sum" => Ok(Self::Sum),
+            "mean" => Ok(Self::Mean),
+            _ => Err(ShellError::SpannedLabeledErrorHelp(
+                "Wrong operation".into(),
+                "Operation not valid for cumulative".into(),
+                span,
+                "Allowed values: min, max, sum, mean".into(),
+            )),
+        }
+    }
+
+    fn to_str(&self) -> &'static str {
+        match self {
+            RollType::Min => "rolling_min",
+            RollType::Max => "rolling_max",
+            RollType::Sum => "rolling_sum",
+            RollType::Mean => "rolling_mean",
+        }
+    }
+}
+
+#[derive(Clone)]
+pub struct Rolling;
+
+impl Command for Rolling {
+    fn name(&self) -> &str {
+        "dfr rolling"
+    }
+
+    fn usage(&self) -> &str {
+        "Rolling calculation for a series"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("type", SyntaxShape::String, "rolling operation")
+            .required("window", SyntaxShape::Int, "Window size for rolling")
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![
+            Example {
+                description: "Rolling sum for a series",
+                example: "[1 2 3 4 5] | dfr to-df | dfr rolling sum 2 | dfr drop-nulls",
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![Column::new(
+                        "0_rolling_sum".to_string(),
+                        vec![3.into(), 5.into(), 7.into(), 9.into()],
+                    )])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+            Example {
+                description: "Rolling max for a series",
+                example: "[1 2 3 4 5] | dfr to-df | dfr rolling max 2 | dfr drop-nulls",
+                result: Some(
+                    NuDataFrame::try_from_columns(vec![Column::new(
+                        "0_rolling_max".to_string(),
+                        vec![2.into(), 3.into(), 4.into(), 5.into()],
+                    )])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+                ),
+            },
+        ]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let roll_type: Spanned<String> = call.req(engine_state, stack, 0)?;
+    let window_size: usize = call.req(engine_state, stack, 1)?;
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    if let DataType::Object(_) = series.dtype() {
+        return Err(ShellError::SpannedLabeledError(
+            "Found object series".into(),
+            "Series of type object cannot be used for rolling operation".into(),
+            call.head,
+        ));
+    }
+
+    let roll_type = RollType::from_str(&roll_type.item, roll_type.span)?;
+
+    let rolling_opts = RollingOptions {
+        window_size,
+        min_periods: window_size,
+        weights: None,
+        center: false,
+    };
+    let res = match roll_type {
+        RollType::Max => series.rolling_max(rolling_opts),
+        RollType::Min => series.rolling_min(rolling_opts),
+        RollType::Sum => series.rolling_sum(rolling_opts),
+        RollType::Mean => series.rolling_mean(rolling_opts),
+    };
+
+    let mut res = res.map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error calculating rolling values".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let name = format!("{}_{}", series.name(), roll_type.to_str());
+    res.rename(&name);
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::super::super::DropNulls;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(Rolling {}), Box::new(DropNulls {})])
+    }
+}

crates/nu-command/src/dataframe/series/shift.rs

@@ -0,0 +1,79 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape,
+};
+
+#[derive(Clone)]
+pub struct Shift;
+
+impl Command for Shift {
+    fn name(&self) -> &str {
+        "dfr shift"
+    }
+
+    fn usage(&self) -> &str {
+        "Shifts the values by a given period"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("period", SyntaxShape::Int, "shift period")
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Shifts the values by a given period",
+            example: "[1 2 2 3 3] | dfr to-df | dfr shift 2 | dfr drop-nulls",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![1.into(), 2.into(), 2.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let period: i64 = call.req(engine_state, stack, 0)?;
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?.shift(period);
+
+    NuDataFrame::try_from_series(vec![series], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::super::super::DropNulls;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(Shift {}), Box::new(DropNulls {})])
+    }
+}

crates/nu-command/src/dataframe/series/string/concatenate.rs

@@ -0,0 +1,111 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Value,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct Concatenate;
+
+impl Command for Concatenate {
+    fn name(&self) -> &str {
+        "dfr concatenate"
+    }
+
+    fn usage(&self) -> &str {
+        "Concatenates strings with other array"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required(
+                "other",
+                SyntaxShape::Any,
+                "Other array with string to be concatenated",
+            )
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Concatenate string",
+            example: r#"let other = ([za xs cd] | dfr to-df);
+    [abc abc abc] | dfr to-df | dfr concatenate $other"#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![
+                        "abcza".to_string().into(),
+                        "abcxs".to_string().into(),
+                        "abccd".to_string().into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    let other: Value = call.req(engine_state, stack, 0)?;
+    let other_span = other.span()?;
+    let other_df = NuDataFrame::try_from_value(other)?;
+
+    let other_series = other_df.as_series(other_span)?;
+    let other_chunked = other_series.utf8().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "The concatenate only with string columns".into(),
+            e.to_string(),
+            other_span,
+        )
+    })?;
+
+    let series = df.as_series(call.head)?;
+    let chunked = series.utf8().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "The concatenate only with string columns".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let mut res = chunked.concat(other_chunked);
+
+    res.rename(series.name());
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(Concatenate {})])
+    }
+}

crates/nu-command/src/dataframe/series/string/contains.rs

@@ -0,0 +1,98 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct Contains;
+
+impl Command for Contains {
+    fn name(&self) -> &str {
+        "dfr contains"
+    }
+
+    fn usage(&self) -> &str {
+        "Checks if a pattern is contained in a string"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required(
+                "pattern",
+                SyntaxShape::String,
+                "Regex pattern to be searched",
+            )
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns boolean indicating if pattern was found",
+            example: "[abc acb acb] | dfr to-df | dfr contains ab",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![true.into(), false.into(), false.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let pattern: String = call.req(engine_state, stack, 0)?;
+
+    let series = df.as_series(call.head)?;
+    let chunked = series.utf8().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "The contains command only with string columns".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let res = chunked.contains(&pattern).map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error searching in series".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(Contains {})])
+    }
+}

crates/nu-command/src/dataframe/series/string/mod.rs

@@ -0,0 +1,19 @@
+mod concatenate;
+mod contains;
+mod replace;
+mod replace_all;
+mod str_lengths;
+mod str_slice;
+mod strftime;
+mod to_lowercase;
+mod to_uppercase;
+
+pub use concatenate::Concatenate;
+pub use contains::Contains;
+pub use replace::Replace;
+pub use replace_all::ReplaceAll;
+pub use str_lengths::StrLengths;
+pub use str_slice::StrSlice;
+pub use strftime::StrFTime;
+pub use to_lowercase::ToLowerCase;
+pub use to_uppercase::ToUpperCase;

crates/nu-command/src/dataframe/series/string/replace.rs

@@ -0,0 +1,116 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct Replace;
+
+impl Command for Replace {
+    fn name(&self) -> &str {
+        "dfr replace"
+    }
+
+    fn usage(&self) -> &str {
+        "Replace the leftmost (sub)string by a regex pattern"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required_named(
+                "pattern",
+                SyntaxShape::String,
+                "Regex pattern to be matched",
+                Some('p'),
+            )
+            .required_named(
+                "replace",
+                SyntaxShape::String,
+                "replacing string",
+                Some('r'),
+            )
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Replaces string",
+            example: "[abc abc abc] | dfr to-df | dfr replace -p ab -r AB",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![
+                        "ABc".to_string().into(),
+                        "ABc".to_string().into(),
+                        "ABc".to_string().into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let pattern: String = call
+        .get_flag(engine_state, stack, "pattern")?
+        .expect("required value");
+    let replace: String = call
+        .get_flag(engine_state, stack, "replace")?
+        .expect("required value");
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+    let chunked = series.utf8().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error convertion to string".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let mut res = chunked.replace(&pattern, &replace).map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error finding pattern other".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    res.rename(series.name());
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(Replace {})])
+    }
+}

crates/nu-command/src/dataframe/series/string/replace_all.rs

@@ -0,0 +1,116 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct ReplaceAll;
+
+impl Command for ReplaceAll {
+    fn name(&self) -> &str {
+        "dfr replace-all"
+    }
+
+    fn usage(&self) -> &str {
+        "Replace all (sub)strings by a regex pattern"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required_named(
+                "pattern",
+                SyntaxShape::String,
+                "Regex pattern to be matched",
+                Some('p'),
+            )
+            .required_named(
+                "replace",
+                SyntaxShape::String,
+                "replacing string",
+                Some('r'),
+            )
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Replaces string",
+            example: "[abac abac abac] | dfr to-df | dfr replace-all -p a -r A",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![
+                        "AbAc".to_string().into(),
+                        "AbAc".to_string().into(),
+                        "AbAc".to_string().into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let pattern: String = call
+        .get_flag(engine_state, stack, "pattern")?
+        .expect("required value");
+    let replace: String = call
+        .get_flag(engine_state, stack, "replace")?
+        .expect("required value");
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+    let chunked = series.utf8().map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error convertion to string".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    let mut res = chunked.replace_all(&pattern, &replace).map_err(|e| {
+        ShellError::SpannedLabeledError(
+            "Error finding pattern other".into(),
+            e.to_string(),
+            call.head,
+        )
+    })?;
+
+    res.rename(series.name());
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(ReplaceAll {})])
+    }
+}

crates/nu-command/src/dataframe/series/string/str_lengths.rs

@@ -0,0 +1,85 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct StrLengths;
+
+impl Command for StrLengths {
+    fn name(&self) -> &str {
+        "dfr str-lengths"
+    }
+
+    fn usage(&self) -> &str {
+        "Get lengths of all strings"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns string lengths",
+            example: "[a ab abc] | dfr to-df | dfr str-lengths",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![1.into(), 2.into(), 3.into()],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let chunked = series.utf8().map_err(|e| {
+        ShellError::SpannedLabeledErrorHelp(
+            "Error casting to string".into(),
+            e.to_string(),
+            call.head,
+            "The str-lengths command can only be used with string columns".into(),
+        )
+    })?;
+
+    let res = chunked.as_ref().str_lengths().into_series();
+
+    NuDataFrame::try_from_series(vec![res], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(StrLengths {})])
+    }
+}

crates/nu-command/src/dataframe/series/string/str_slice.rs

@@ -0,0 +1,101 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct StrSlice;
+
+impl Command for StrSlice {
+    fn name(&self) -> &str {
+        "dfr str-slice"
+    }
+
+    fn usage(&self) -> &str {
+        "Slices the string from the start position until the selected length"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("start", SyntaxShape::Int, "start of slice")
+            .named("length", SyntaxShape::Int, "optional length", Some('l'))
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Creates slices from the strings",
+            example: "[abcded abc321 abc123] | dfr to-df | dfr str-slice 1 -l 2",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![
+                        "bc".to_string().into(),
+                        "bc".to_string().into(),
+                        "bc".to_string().into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let start: i64 = call.req(engine_state, stack, 0)?;
+
+    let length: Option<i64> = call.get_flag(engine_state, stack, "length")?;
+    let length = length.map(|v| v as u64);
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let chunked = series.utf8().map_err(|e| {
+        ShellError::SpannedLabeledErrorHelp(
+            "Error casting to string".into(),
+            e.to_string(),
+            call.head,
+            "The str-slice command can only be used with string columns".into(),
+        )
+    })?;
+
+    let mut res = chunked.str_slice(start, length).map_err(|e| {
+        ShellError::SpannedLabeledError("Error slicing series".into(), e.to_string(), call.head)
+    })?;
+    res.rename(series.name());
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(StrSlice {})])
+    }
+}

crates/nu-command/src/dataframe/series/string/strftime.rs

@@ -0,0 +1,96 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct StrFTime;
+
+impl Command for StrFTime {
+    fn name(&self) -> &str {
+        "dfr strftime"
+    }
+
+    fn usage(&self) -> &str {
+        "Formats date based on string rule"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("fmt", SyntaxShape::String, "Format rule")
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Formats date",
+            example: r#"let dt = ('2020-08-04T16:39:18+00:00' | into datetime -z 'UTC');
+    let df = ([$dt $dt] | dfr to-df);
+    $df | dfr strftime "%Y/%m/%d""#,
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![
+                        "2020/08/04".to_string().into(),
+                        "2020/08/04".to_string().into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let fmt: String = call.req(engine_state, stack, 0)?;
+
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.datetime().map_err(|e| {
+        ShellError::SpannedLabeledErrorHelp(
+            "Error casting to date".into(),
+            e.to_string(),
+            call.head,
+            "The str-slice command can only be used with string columns".into(),
+        )
+    })?;
+
+    let res = casted.strftime(&fmt).into_series();
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::super::IntoDatetime;
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(StrFTime {}), Box::new(IntoDatetime {})])
+    }
+}

crates/nu-command/src/dataframe/series/string/to_lowercase.rs

@@ -0,0 +1,90 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct ToLowerCase;
+
+impl Command for ToLowerCase {
+    fn name(&self) -> &str {
+        "dfr to-lowercase"
+    }
+
+    fn usage(&self) -> &str {
+        "Lowercase the strings in the column"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Modifies strings to lowercase",
+            example: "[Abc aBc abC] | dfr to-df | dfr to-lowercase",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![
+                        "abc".to_string().into(),
+                        "abc".to_string().into(),
+                        "abc".to_string().into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.utf8().map_err(|e| {
+        ShellError::SpannedLabeledErrorHelp(
+            "Error casting to string".into(),
+            e.to_string(),
+            call.head,
+            "The str-slice command can only be used with string columns".into(),
+        )
+    })?;
+
+    let mut res = casted.to_lowercase();
+    res.rename(series.name());
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(ToLowerCase {})])
+    }
+}

crates/nu-command/src/dataframe/series/string/to_uppercase.rs

@@ -0,0 +1,90 @@
+use super::super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct ToUpperCase;
+
+impl Command for ToUpperCase {
+    fn name(&self) -> &str {
+        "dfr to-uppercase"
+    }
+
+    fn usage(&self) -> &str {
+        "Uppercase the strings in the column"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Modifies strings to uppercase",
+            example: "[Abc aBc abC] | dfr to-df | dfr to-uppercase",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new(
+                    "0".to_string(),
+                    vec![
+                        "ABC".to_string().into(),
+                        "ABC".to_string().into(),
+                        "ABC".to_string().into(),
+                    ],
+                )])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let casted = series.utf8().map_err(|e| {
+        ShellError::SpannedLabeledErrorHelp(
+            "Error casting to string".into(),
+            e.to_string(),
+            call.head,
+            "The str-slice command can only be used with string columns".into(),
+        )
+    })?;
+
+    let mut res = casted.to_uppercase();
+    res.rename(series.name());
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(ToUpperCase {})])
+    }
+}

crates/nu-command/src/dataframe/series/unique.rs

@@ -0,0 +1,80 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+use polars::prelude::IntoSeries;
+
+#[derive(Clone)]
+pub struct Unique;
+
+impl Command for Unique {
+    fn name(&self) -> &str {
+        "dfr unique"
+    }
+
+    fn usage(&self) -> &str {
+        "Returns unique values from a series"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Returns unique values from a series",
+            example: "[2 2 2 2 2] | dfr to-df | dfr unique",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![Column::new("0".to_string(), vec![2.into()])])
+                    .expect("simple df for test should not fail")
+                    .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let res = series.unique().map_err(|e| {
+        ShellError::SpannedLabeledErrorHelp(
+            "Error calculating unique values".into(),
+            e.to_string(),
+            call.head,
+            "The str-slice command can only be used with string columns".into(),
+        )
+    })?;
+
+    NuDataFrame::try_from_series(vec![res.into_series()], call.head)
+        .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(Unique {})])
+    }
+}

crates/nu-command/src/dataframe/series/value_counts.rs

@@ -0,0 +1,84 @@
+use super::super::values::{Column, NuDataFrame};
+
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span,
+};
+
+#[derive(Clone)]
+pub struct ValueCount;
+
+impl Command for ValueCount {
+    fn name(&self) -> &str {
+        "dfr value-counts"
+    }
+
+    fn usage(&self) -> &str {
+        "Returns a dataframe with the counts for unique values in series"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name()).category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Calculates value counts",
+            example: "[5 5 5 5 6 6] | dfr to-df | dfr value-counts",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![
+                    Column::new("0".to_string(), vec![5.into(), 6.into()]),
+                    Column::new("counts".to_string(), vec![4.into(), 2.into()]),
+                ])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    _engine_state: &EngineState,
+    _stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let series = df.as_series(call.head)?;
+
+    let res = series.value_counts().map_err(|e| {
+        ShellError::SpannedLabeledErrorHelp(
+            "Error calculating value counts values".into(),
+            e.to_string(),
+            call.head,
+            "The str-slice command can only be used with string columns".into(),
+        )
+    })?;
+
+    Ok(PipelineData::Value(
+        NuDataFrame::dataframe_into_value(res, call.head),
+        None,
+    ))
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(ValueCount {})])
+    }
+}

crates/nu-command/src/dataframe/test_dataframe.rs

@@ -8,8 +8,13 @@ use nu_protocol::{
 use super::ToDataFrame;
 use crate::Let;
 
-pub fn test_dataframe(cmd: impl Command + 'static) {
+pub fn test_dataframe(cmds: Vec<Box<dyn Command + 'static>>) {
-    let examples = cmd.examples();
+    if cmds.is_empty() {
+        panic!("Empty commands vector")
+    }
+
+    // The first element in the cmds vector must be the one tested
+    let examples = cmds[0].examples();
     let mut engine_state = Box::new(EngineState::new());
 
     let delta = {
@@ -20,7 +25,9 @@ pub fn test_dataframe(cmd: impl Command + 'static) {
         working_set.add_decl(Box::new(ToDataFrame));
 
         // Adding the command that is being tested to the working set
-        working_set.add_decl(Box::new(cmd));
+        for cmd in cmds {
+            working_set.add_decl(cmd);
+        }
 
         working_set.render()
     };

crates/nu-command/src/dataframe/to_df.rs

@@ -11,7 +11,7 @@ pub struct ToDataFrame;
 
 impl Command for ToDataFrame {
     fn name(&self) -> &str {
-        "dataframe to-df"
+        "dfr to-df"
     }
 
     fn usage(&self) -> &str {
@@ -26,7 +26,7 @@ impl Command for ToDataFrame {
         vec![
             Example {
                 description: "Takes a dictionary and creates a dataframe",
-                example: "[[a b];[1 2] [3 4]] | dataframe to-df",
+                example: "[[a b];[1 2] [3 4]] | dfr to-df",
                 result: Some(
                     NuDataFrame::try_from_columns(vec![
                         Column::new("a".to_string(), vec![1.into(), 3.into()]),
@@ -38,7 +38,7 @@ impl Command for ToDataFrame {
             },
             Example {
                 description: "Takes a list of tables and creates a dataframe",
-                example: "[[1 2 a] [3 4 b] [5 6 c]] | dataframe to-df",
+                example: "[[1 2 a] [3 4 b] [5 6 c]] | dfr to-df",
                 result: Some(
                     NuDataFrame::try_from_columns(vec![
                         Column::new("0".to_string(), vec![1.into(), 3.into(), 5.into()]),
@@ -58,7 +58,7 @@ impl Command for ToDataFrame {
             },
             Example {
                 description: "Takes a list and creates a dataframe",
-                example: "[a b c] | dataframe to-df",
+                example: "[a b c] | dfr to-df",
                 result: Some(
                     NuDataFrame::try_from_columns(vec![Column::new(
                         "0".to_string(),
@@ -74,7 +74,7 @@ impl Command for ToDataFrame {
             },
             Example {
                 description: "Takes a list of booleans and creates a dataframe",
-                example: "[$true $true $false] | dataframe to-df",
+                example: "[$true $true $false] | dfr to-df",
                 result: Some(
                     NuDataFrame::try_from_columns(vec![Column::new(
                         "0".to_string(),
@@ -106,6 +106,6 @@ mod test {
 
     #[test]
     fn test_examples() {
-        test_dataframe(ToDataFrame {})
+        test_dataframe(vec![Box::new(ToDataFrame {})])
     }
 }

crates/nu-command/src/dataframe/with_column.rs

@@ -0,0 +1,100 @@
+use nu_engine::CallExt;
+use nu_protocol::{
+    ast::Call,
+    engine::{Command, EngineState, Stack},
+    Category, Example, PipelineData, ShellError, Signature, Span, Spanned, SyntaxShape, Value,
+};
+
+use super::values::{Column, NuDataFrame};
+
+#[derive(Clone)]
+pub struct WithColumn;
+
+impl Command for WithColumn {
+    fn name(&self) -> &str {
+        "dfr with-column"
+    }
+
+    fn usage(&self) -> &str {
+        "Adds a series to the dataframe"
+    }
+
+    fn signature(&self) -> Signature {
+        Signature::build(self.name())
+            .required("series", SyntaxShape::Any, "series to be added")
+            .required_named("name", SyntaxShape::String, "column name", Some('n'))
+            .category(Category::Custom("dataframe".into()))
+    }
+
+    fn examples(&self) -> Vec<Example> {
+        vec![Example {
+            description: "Adds a series to the dataframe",
+            example:
+                "[[a b]; [1 2] [3 4]] | dfr to-df | dfr with-column ([5 6] | dfr to-df) --name c",
+            result: Some(
+                NuDataFrame::try_from_columns(vec![
+                    Column::new("a".to_string(), vec![1.into(), 3.into()]),
+                    Column::new("b".to_string(), vec![2.into(), 4.into()]),
+                    Column::new("c".to_string(), vec![5.into(), 6.into()]),
+                ])
+                .expect("simple df for test should not fail")
+                .into_value(Span::unknown()),
+            ),
+        }]
+    }
+
+    fn run(
+        &self,
+        engine_state: &EngineState,
+        stack: &mut Stack,
+        call: &Call,
+        input: PipelineData,
+    ) -> Result<PipelineData, ShellError> {
+        command(engine_state, stack, call, input)
+    }
+}
+
+fn command(
+    engine_state: &EngineState,
+    stack: &mut Stack,
+    call: &Call,
+    input: PipelineData,
+) -> Result<PipelineData, ShellError> {
+    let name: Spanned<String> = call
+        .get_flag(engine_state, stack, "name")?
+        .expect("required named value");
+
+    let other_value: Value = call.req(engine_state, stack, 0)?;
+    let other_span = other_value.span()?;
+    let mut other = NuDataFrame::try_from_value(other_value)?.as_series(other_span)?;
+    let series = other.rename(&name.item).clone();
+
+    let mut df = NuDataFrame::try_from_pipeline(input, call.head)?;
+
+    df.as_mut()
+        .with_column(series)
+        .map_err(|e| {
+            ShellError::SpannedLabeledError(
+                "Error adding column to dataframe".into(),
+                e.to_string(),
+                other_span,
+            )
+        })
+        .map(|df| {
+            PipelineData::Value(
+                NuDataFrame::dataframe_into_value(df.clone(), call.head),
+                None,
+            )
+        })
+}
+
+#[cfg(test)]
+mod test {
+    use super::super::test_dataframe::test_dataframe;
+    use super::*;
+
+    #[test]
+    fn test_examples() {
+        test_dataframe(vec![Box::new(WithColumn {})])
+    }
+}

crates/nu-parser/src/parse_keywords.rs

@@ -12,7 +12,7 @@ use std::collections::{HashMap, HashSet};
 use crate::{
     lex, lite_parse,
     parser::{
-        check_call, check_name, garbage, garbage_statement, parse, parse_block_expression,
+        check_name, garbage, garbage_statement, parse, parse_block_expression,
         parse_import_pattern, parse_internal_call, parse_multispan_value, parse_signature,
         parse_string, parse_var_with_opt_type, trim_quotes,
     },
@@ -1135,6 +1135,7 @@ pub fn parse_register(
     working_set: &mut StateWorkingSet,
     spans: &[Span],
 ) -> (Statement, Option<ParseError>) {
+    use crate::parser::check_call;
     use nu_plugin::{get_signature, EncodingType, PluginDeclaration};
     use nu_protocol::Signature;
 

crates/nu-protocol/src/shell_error.rs

@@ -246,6 +246,10 @@ pub enum ShellError {
     #[diagnostic()]
     SpannedLabeledError(String, String, #[label("{1}")] Span),
 
+    #[error("{0}")]
+    #[diagnostic(help("{3}"))]
+    SpannedLabeledErrorHelp(String, String, #[label("{1}")] Span, String),
+
     #[error("{0}")]
     #[diagnostic()]
     LabeledError(String, String),

crates/nu-protocol/src/value/from_value.rs

@@ -337,3 +337,17 @@ impl FromValue for Spanned<PathBuf> {
         }
     }
 }
+
+impl FromValue for Vec<Value> {
+    fn from_value(v: &Value) -> Result<Self, ShellError> {
+        // FIXME: we may want to fail a little nicer here
+        match v {
+            Value::List { vals, .. } => Ok(vals.clone()),
+            v => Err(ShellError::CantConvert(
+                "Vector of values".into(),
+                v.get_type().to_string(),
+                v.span()?,
+            )),
+        }
+    }
+}