nushell/crates/nu-command/src/dataframe/eager/sample.rs
Fernando Herrera 4ebbe07d27
Polars upgrade (#4665)
* polars upgrade

* Update describe.rs

Co-authored-by: JT <547158+jntrnr@users.noreply.github.com>
2022-02-27 11:10:29 -05:00

107 lines
3.3 KiB
Rust

use nu_engine::CallExt;
use nu_protocol::{
ast::Call,
engine::{Command, EngineState, Stack},
Category, Example, PipelineData, ShellError, Signature, Spanned, SyntaxShape,
};
use super::super::values::NuDataFrame;
#[derive(Clone)]
pub struct SampleDF;
impl Command for SampleDF {
fn name(&self) -> &str {
"dfr sample"
}
fn usage(&self) -> &str {
"Create sample dataframe"
}
fn signature(&self) -> Signature {
Signature::build(self.name())
.named(
"n-rows",
SyntaxShape::Int,
"number of rows to be taken from dataframe",
Some('n'),
)
.named(
"fraction",
SyntaxShape::Number,
"fraction of dataframe to be taken",
Some('f'),
)
.switch("replace", "sample with replace", Some('e'))
.category(Category::Custom("dataframe".into()))
}
fn examples(&self) -> Vec<Example> {
vec![
Example {
description: "Sample rows from dataframe",
example: "[[a b]; [1 2] [3 4]] | dfr to-df | dfr sample -n 1",
result: None, // No expected value because sampling is random
},
Example {
description: "Shows sample row using fraction and replace",
example: "[[a b]; [1 2] [3 4] [5 6]] | dfr to-df | dfr sample -f 0.5 -e",
result: None, // No expected value because sampling is random
},
]
}
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 rows: Option<Spanned<usize>> = call.get_flag(engine_state, stack, "n-rows")?;
let fraction: Option<Spanned<f64>> = call.get_flag(engine_state, stack, "fraction")?;
let replace: bool = call.has_flag("replace");
let df = NuDataFrame::try_from_pipeline(input, call.head)?;
match (rows, fraction) {
(Some(rows), None) => df.as_ref().sample_n(rows.item, replace, 0).map_err(|e| {
ShellError::SpannedLabeledError(
"Error creating sample".into(),
e.to_string(),
rows.span,
)
}),
(None, Some(frac)) => df.as_ref().sample_frac(frac.item, replace, 0).map_err(|e| {
ShellError::SpannedLabeledError(
"Error creating sample".into(),
e.to_string(),
frac.span,
)
}),
(Some(_), Some(_)) => Err(ShellError::SpannedLabeledError(
"Incompatible flags".into(),
"Only one selection criterion allowed".into(),
call.head,
)),
(None, None) => Err(ShellError::SpannedLabeledErrorHelp(
"No selection".into(),
"No selection criterion was found".into(),
call.head,
"Perhaps you want to use the flag -n or -f".into(),
)),
}
.map(|df| PipelineData::Value(NuDataFrame::dataframe_into_value(df, call.head), None))
}