nushell/crates/nu-command/src/dataframe/series/unique.rs
Fernando Herrera 997d56a288
Lazy dataframes (#5687)
* change between lazy and eager

* when expressions

* examples for aggregations

* more examples for agg

* examples for dataframes

* checked examples

* cargo fmt
2022-05-31 07:29:55 +01:00

157 lines
4.4 KiB
Rust

use crate::dataframe::{utils::extract_strings, values::NuLazyFrame};
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, Value,
};
use polars::prelude::{IntoSeries, UniqueKeepStrategy};
#[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())
.named(
"subset",
SyntaxShape::Any,
"Subset of column(s) to use to maintain rows (lazy df)",
Some('s'),
)
.switch(
"last",
"Keeps last unique value. Default keeps first value (lazy df)",
Some('l'),
)
.switch(
"maintain-order",
"Keep the same order as the original DataFrame (lazy df)",
Some('k'),
)
.category(Category::Custom("dataframe or expression".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![Value::test_int(2)],
)])
.expect("simple df for test should not fail")
.into_value(Span::test_data()),
),
},
Example {
description: "Creates a is unique expression from a column",
example: "dfr col a | dfr unique",
result: None,
},
]
}
fn run(
&self,
engine_state: &EngineState,
stack: &mut Stack,
call: &Call,
input: PipelineData,
) -> Result<PipelineData, ShellError> {
let value = input.into_value(call.head);
if NuLazyFrame::can_downcast(&value) {
let df = NuLazyFrame::try_from_value(value)?;
command_lazy(engine_state, stack, call, df)
} else if NuDataFrame::can_downcast(&value) {
let df = NuDataFrame::try_from_value(value)?;
command_eager(engine_state, stack, call, df)
} else {
Err(ShellError::CantConvert(
"expression or query".into(),
value.get_type().to_string(),
value.span()?,
None,
))
}
}
}
fn command_eager(
_engine_state: &EngineState,
_stack: &mut Stack,
call: &Call,
df: NuDataFrame,
) -> Result<PipelineData, ShellError> {
let series = df.as_series(call.head)?;
let res = series.unique().map_err(|e| {
ShellError::GenericError(
"Error calculating unique values".into(),
e.to_string(),
Some(call.head),
Some("The str-slice command can only be used with string columns".into()),
Vec::new(),
)
})?;
NuDataFrame::try_from_series(vec![res.into_series()], call.head)
.map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
}
fn command_lazy(
engine_state: &EngineState,
stack: &mut Stack,
call: &Call,
lazy: NuLazyFrame,
) -> Result<PipelineData, ShellError> {
let last = call.has_flag("last");
let maintain = call.has_flag("maintain-order");
let subset: Option<Value> = call.get_flag(engine_state, stack, "subset")?;
let subset = match subset {
Some(value) => Some(extract_strings(value)?),
None => None,
};
let strategy = if last {
UniqueKeepStrategy::Last
} else {
UniqueKeepStrategy::First
};
let lazy = lazy.into_polars();
let lazy: NuLazyFrame = if maintain {
lazy.unique(subset, strategy).into()
} else {
lazy.unique_stable(subset, strategy).into()
};
Ok(PipelineData::Value(lazy.into_value(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 {})])
}
}