nushell/crates/nu_plugin_polars/src/dataframe/eager/sample.rs
Jack Wright 1661bb68f9
Cleaning up to_pipe_line_data and cache_and_to_value, making them part of CustomValueSupport (#12528)
# Description

This is just some cleanup. I moved to_pipeline_data and to_cache_value
to the CustomValueSupport trait, where I should've put them to begin
with.

Co-authored-by: Jack Wright <jack.wright@disqo.com>
2024-04-16 06:35:52 -05:00

136 lines
4.4 KiB
Rust

use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
use nu_protocol::{
Category, Example, LabeledError, PipelineData, ShellError, Signature, Spanned, SyntaxShape,
Type,
};
use polars::prelude::NamedFrom;
use polars::series::Series;
use crate::{values::CustomValueSupport, PolarsPlugin};
use super::super::values::NuDataFrame;
#[derive(Clone)]
pub struct SampleDF;
impl PluginCommand for SampleDF {
type Plugin = PolarsPlugin;
fn name(&self) -> &str {
"polars 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'),
)
.named(
"seed",
SyntaxShape::Number,
"seed for the selection",
Some('s'),
)
.switch("replace", "sample with replace", Some('e'))
.switch("shuffle", "shuffle sample", Some('u'))
.input_output_type(
Type::Custom("dataframe".into()),
Type::Custom("dataframe".into()),
)
.category(Category::Custom("dataframe".into()))
}
fn examples(&self) -> Vec<Example> {
vec![
Example {
description: "Sample rows from dataframe",
example: "[[a b]; [1 2] [3 4]] | polars into-df | polars sample --n-rows 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]] | polars into-df | polars sample --fraction 0.5 --replace",
result: None, // No expected value because sampling is random
},
]
}
fn run(
&self,
plugin: &Self::Plugin,
engine: &EngineInterface,
call: &EvaluatedCall,
input: PipelineData,
) -> Result<PipelineData, LabeledError> {
command(plugin, engine, call, input).map_err(LabeledError::from)
}
}
fn command(
plugin: &PolarsPlugin,
engine: &EngineInterface,
call: &EvaluatedCall,
input: PipelineData,
) -> Result<PipelineData, ShellError> {
let rows: Option<Spanned<i64>> = call.get_flag("n-rows")?;
let fraction: Option<Spanned<f64>> = call.get_flag("fraction")?;
let seed: Option<u64> = call.get_flag::<i64>("seed")?.map(|val| val as u64);
let replace: bool = call.has_flag("replace")?;
let shuffle: bool = call.has_flag("shuffle")?;
let df = NuDataFrame::try_from_pipeline(plugin, input, call.head)?;
let df = match (rows, fraction) {
(Some(rows), None) => df
.as_ref()
.sample_n(&Series::new("s", &[rows.item]), replace, shuffle, seed)
.map_err(|e| ShellError::GenericError {
error: "Error creating sample".into(),
msg: e.to_string(),
span: Some(rows.span),
help: None,
inner: vec![],
}),
(None, Some(frac)) => df
.as_ref()
.sample_frac(&Series::new("frac", &[frac.item]), replace, shuffle, seed)
.map_err(|e| ShellError::GenericError {
error: "Error creating sample".into(),
msg: e.to_string(),
span: Some(frac.span),
help: None,
inner: vec![],
}),
(Some(_), Some(_)) => Err(ShellError::GenericError {
error: "Incompatible flags".into(),
msg: "Only one selection criterion allowed".into(),
span: Some(call.head),
help: None,
inner: vec![],
}),
(None, None) => Err(ShellError::GenericError {
error: "No selection".into(),
msg: "No selection criterion was found".into(),
span: Some(call.head),
help: Some("Perhaps you want to use the flag -n or -f".into()),
inner: vec![],
}),
};
let df = NuDataFrame::new(false, df?);
df.to_pipeline_data(plugin, engine, call.head)
}