nushell/crates/nu-command/src/dataframe/eager/sample.rs
Jérémy Audiger a5c604c283
Uniformize usage() and extra_usage() message ending for commands helper. (#8268)
# Description

Working on uniformizing the ending messages regarding methods usage()
and extra_usage(). This is related to the issue
https://github.com/nushell/nushell/issues/5066 after discussing it with
@jntrnr

# User-Facing Changes

None.

# Tests + Formatting

Don't forget to add tests that cover your changes.

Make sure you've run and fixed any issues with these commands:

- `cargo fmt --all -- --check` to check standard code formatting (`cargo
fmt --all` applies these changes)
- `cargo clippy --workspace -- -D warnings -D clippy::unwrap_used -A
clippy::needless_collect` to check that you're using the standard code
style
- `cargo test --workspace` to check that all tests pass

# After Submitting

If your PR had any user-facing changes, update [the
documentation](https://github.com/nushell/nushell.github.io) after the
PR is merged, if necessary. This will help us keep the docs up to date.
2023-02-28 21:33:02 -08:00

133 lines
4.2 KiB
Rust

use nu_engine::CallExt;
use nu_protocol::{
ast::Call,
engine::{Command, EngineState, Stack},
Category, Example, PipelineData, ShellError, Signature, Spanned, SyntaxShape, Type,
};
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'),
)
.named(
"seed",
SyntaxShape::Number,
"seed for the selection",
Some('s'),
)
.switch("replace", "sample with replace", Some('e'))
.switch("shuffle", "shuffle sample", Some('u'))
.input_type(Type::Custom("dataframe".into()))
.output_type(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]] | dfr into-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 into-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 seed: Option<u64> = call
.get_flag::<i64>(engine_state, stack, "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(input, call.head)?;
match (rows, fraction) {
(Some(rows), None) => df
.as_ref()
.sample_n(rows.item, replace, shuffle, seed)
.map_err(|e| {
ShellError::GenericError(
"Error creating sample".into(),
e.to_string(),
Some(rows.span),
None,
Vec::new(),
)
}),
(None, Some(frac)) => df
.as_ref()
.sample_frac(frac.item, replace, shuffle, seed)
.map_err(|e| {
ShellError::GenericError(
"Error creating sample".into(),
e.to_string(),
Some(frac.span),
None,
Vec::new(),
)
}),
(Some(_), Some(_)) => Err(ShellError::GenericError(
"Incompatible flags".into(),
"Only one selection criterion allowed".into(),
Some(call.head),
None,
Vec::new(),
)),
(None, None) => Err(ShellError::GenericError(
"No selection".into(),
"No selection criterion was found".into(),
Some(call.head),
Some("Perhaps you want to use the flag -n or -f".into()),
Vec::new(),
)),
}
.map(|df| PipelineData::Value(NuDataFrame::dataframe_into_value(df, call.head), None))
}