use crate::{
PolarsPlugin,
dataframe::values::{Column, NuDataFrame, NuLazyFrame},
values::{
CustomValueSupport, NuExpression, PolarsPluginObject, PolarsPluginType, cant_convert_err,
},
};
use nu_plugin::{EngineInterface, EvaluatedCall, PluginCommand};
use nu_protocol::{
Category, Example, LabeledError, PipelineData, ShellError, Signature, Span, SyntaxShape, Value,
};
use polars::prelude::{QuantileMethod, lit};
#[derive(Clone)]
pub struct LazyQuantile;
impl PluginCommand for LazyQuantile {
type Plugin = PolarsPlugin;
fn name(&self) -> &str {
"polars quantile"
}
fn description(&self) -> &str {
"Aggregates the columns to the selected quantile."
}
fn signature(&self) -> Signature {
Signature::build(self.name())
.required(
"quantile",
SyntaxShape::Number,
"Quantile value for quantile operation.",
)
.input_output_types(vec![
(
PolarsPluginType::NuExpression.into(),
PolarsPluginType::NuExpression.into(),
),
(
PolarsPluginType::NuDataFrame.into(),
PolarsPluginType::NuDataFrame.into(),
),
(
PolarsPluginType::NuLazyFrame.into(),
PolarsPluginType::NuLazyFrame.into(),
),
])
.category(Category::Custom("lazyframe".into()))
}
fn examples(&self) -> Vec<Example<'_>> {
vec![
Example {
description: "quantile value from columns in a dataframe",
example: "[[a b]; [6 2] [1 4] [4 1]] | polars into-df | polars quantile 0.5",
result: Some(
NuDataFrame::try_from_columns(
vec![
Column::new("a".to_string(), vec![Value::test_float(4.0)]),
Column::new("b".to_string(), vec![Value::test_float(2.0)]),
],
None,
Span::test_data(),
)
.expect("simple df for test should not fail")
.into_value(Span::test_data()),
),
},
Example {
description: "Quantile aggregation for a group-by",
example: r#"[[a b]; [one 2] [one 4] [two 1]]
| polars into-df
| polars group-by a
| polars agg (polars col b | polars quantile 0.5)
| polars collect
| polars sort-by a"#,
result: Some(
NuDataFrame::try_from_columns(
vec![
Column::new(
"a".to_string(),
vec![Value::test_string("one"), Value::test_string("two")],
),
Column::new(
"b".to_string(),
vec![Value::test_float(4.0), Value::test_float(1.0)],
),
],
None,
Span::test_data(),
)
.expect("simple df for test should not fail")
.into_value(Span::test_data()),
),
},
]
}
fn run(
&self,
plugin: &Self::Plugin,
engine: &EngineInterface,
call: &EvaluatedCall,
mut input: PipelineData,
) -> Result<PipelineData, LabeledError> {
let metadata = input.take_metadata();
let value = input.into_value(call.head)?;
let quantile: f64 = call.req(0)?;
match PolarsPluginObject::try_from_value(plugin, &value)? {
PolarsPluginObject::NuDataFrame(df) => {
command(plugin, engine, call, df.lazy(), quantile)
}
PolarsPluginObject::NuLazyFrame(lazy) => command(plugin, engine, call, lazy, quantile),
PolarsPluginObject::NuExpression(expr) => {
let expr: NuExpression = expr
.into_polars()
.quantile(lit(quantile), QuantileMethod::default())
.into();
expr.to_pipeline_data(plugin, engine, call.head)
}
_ => Err(cant_convert_err(
&value,
&[
PolarsPluginType::NuDataFrame,
PolarsPluginType::NuLazyFrame,
PolarsPluginType::NuExpression,
],
)),
}
.map_err(LabeledError::from)
.map(|pd| pd.set_metadata(metadata))
}
}
fn command(
plugin: &PolarsPlugin,
engine: &EngineInterface,
call: &EvaluatedCall,
lazy: NuLazyFrame,
quantile: f64,
) -> Result<PipelineData, ShellError> {
let lazy = NuLazyFrame::new(
lazy.from_eager,
lazy.to_polars()
.quantile(lit(quantile), QuantileMethod::default()),
);
lazy.to_pipeline_data(plugin, engine, call.head)
}
#[cfg(test)]
mod test {
use super::*;
use crate::test::test_polars_plugin_command;
#[test]
fn test_examples() -> Result<(), ShellError> {
test_polars_plugin_command(&LazyQuantile)
}
}