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Removed the polars dtypes command (#12577)
# Description The polars dtype command is largerly redundant since the introduction of the schema command. The schema command also has the added benefit that it's output can be used as a parameter to other schema commands: ```nushell [[a b]; [5 6] [5 7]] | polars into-df -s ($df | polars schema ``` # User-Facing Changes `polars dtypes` has been removed. Users should use `polars schema` instead. Co-authored-by: Jack Wright <jack.wright@disqo.com>
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@ -1,111 +0,0 @@
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use crate::PolarsPlugin;
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use super::super::values::{Column, CustomValueSupport, NuDataFrame};
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use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
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use nu_protocol::{
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Category, Example, LabeledError, PipelineData, ShellError, Signature, Span, Type, Value,
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};
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#[derive(Clone)]
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pub struct DataTypes;
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impl PluginCommand for DataTypes {
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type Plugin = PolarsPlugin;
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fn name(&self) -> &str {
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"polars dtypes"
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}
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fn usage(&self) -> &str {
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"Show dataframe data types."
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.input_output_type(
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Type::Custom("dataframe".into()),
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Type::Custom("dataframe".into()),
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)
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.category(Category::Custom("dataframe".into()))
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}
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fn examples(&self) -> Vec<Example> {
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vec![Example {
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description: "Dataframe dtypes",
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example: "[[a b]; [1 2] [3 4]] | polars into-df | polars dtypes",
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result: Some(
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NuDataFrame::try_from_columns(
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vec![
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Column::new(
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"column".to_string(),
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vec![Value::test_string("a"), Value::test_string("b")],
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),
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Column::new(
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"dtype".to_string(),
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vec![Value::test_string("i64"), Value::test_string("i64")],
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),
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],
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None,
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)
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.expect("simple df for test should not fail")
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.into_value(Span::test_data()),
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),
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}]
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}
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fn run(
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&self,
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plugin: &Self::Plugin,
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engine: &EngineInterface,
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call: &EvaluatedCall,
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input: PipelineData,
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) -> Result<PipelineData, LabeledError> {
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command(plugin, engine, call, input).map_err(LabeledError::from)
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}
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}
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fn command(
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plugin: &PolarsPlugin,
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engine: &EngineInterface,
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call: &EvaluatedCall,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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let df = NuDataFrame::try_from_pipeline_coerce(plugin, input, call.head)?;
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let mut dtypes: Vec<Value> = Vec::new();
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let names: Vec<Value> = df
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.as_ref()
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.get_column_names()
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.iter()
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.map(|v| {
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let dtype = df
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.as_ref()
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.column(v)
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.expect("using name from list of names from dataframe")
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.dtype();
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let dtype_str = dtype.to_string();
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dtypes.push(Value::string(dtype_str, call.head));
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Value::string(*v, call.head)
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})
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.collect();
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let names_col = Column::new("column".to_string(), names);
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let dtypes_col = Column::new("dtype".to_string(), dtypes);
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let df = NuDataFrame::try_from_columns(vec![names_col, dtypes_col], None)?;
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df.to_pipeline_data(plugin, engine, call.head)
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}
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#[cfg(test)]
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mod test {
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use super::*;
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use crate::test::test_polars_plugin_command;
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#[test]
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fn test_examples() -> Result<(), ShellError> {
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test_polars_plugin_command(&DataTypes)
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}
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}
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@ -4,7 +4,6 @@ mod columns;
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mod drop;
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mod drop_duplicates;
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mod drop_nulls;
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mod dtypes;
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mod dummies;
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mod filter_with;
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mod first;
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@ -41,7 +40,6 @@ pub use columns::ColumnsDF;
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pub use drop::DropDF;
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pub use drop_duplicates::DropDuplicates;
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pub use drop_nulls::DropNulls;
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pub use dtypes::DataTypes;
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pub use dummies::Dummies;
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pub use filter_with::FilterWith;
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pub use first::FirstDF;
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@ -73,7 +71,6 @@ pub(crate) fn eager_commands() -> Vec<Box<dyn PluginCommand<Plugin = PolarsPlugi
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Box::new(AppendDF),
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Box::new(CastDF),
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Box::new(ColumnsDF),
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Box::new(DataTypes),
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Box::new(DropDF),
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Box::new(DropDuplicates),
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Box::new(DropNulls),
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