# Description * release notes https://github.com/pola-rs/polars/releases/tag/rs-0.36.2 * dependencies remove `sysinfo` 0.29.11 add `polars-compute` 0.36.2 # User-Facing Changes [Change value_counts resulting column name from counts to count](https://github.com/pola-rs/polars/pull/12506) # 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` to check that you're using the standard code style - `cargo test --workspace` to check that all tests pass (on Windows make sure to [enable developer mode](https://learn.microsoft.com/en-us/windows/apps/get-started/developer-mode-features-and-debugging)) - `cargo run -- -c "use std testing; testing run-tests --path crates/nu-std"` to run the tests for the standard library > **Note** > from `nushell` you can also use the `toolkit` as follows > ```bash > use toolkit.nu # or use an `env_change` hook to activate it automatically > toolkit check pr > ``` --> # 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. -->
216 lines
6.8 KiB
Rust
216 lines
6.8 KiB
Rust
use super::super::super::values::{Column, NuDataFrame};
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use nu_engine::CallExt;
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use nu_protocol::{
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ast::Call,
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engine::{Command, EngineState, Stack},
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Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Type, Value,
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};
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use polars::prelude::{ChunkSet, DataType, IntoSeries};
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#[derive(Clone)]
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pub struct SetWithIndex;
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impl Command for SetWithIndex {
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fn name(&self) -> &str {
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"dfr set-with-idx"
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}
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fn usage(&self) -> &str {
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"Sets value in the given index."
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.required("value", SyntaxShape::Any, "value to be inserted in series")
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.required_named(
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"indices",
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SyntaxShape::Any,
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"list of indices indicating where to set the value",
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Some('i'),
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)
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.input_output_type(
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Type::Custom("dataframe".into()),
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Type::Custom("dataframe".into()),
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)
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.category(Category::Custom("dataframe".into()))
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}
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fn examples(&self) -> Vec<Example> {
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vec![Example {
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description: "Set value in selected rows from series",
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example: r#"let series = ([4 1 5 2 4 3] | dfr into-df);
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let indices = ([0 2] | dfr into-df);
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$series | dfr set-with-idx 6 --indices $indices"#,
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result: Some(
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NuDataFrame::try_from_columns(vec![Column::new(
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"0".to_string(),
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vec![
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Value::test_int(6),
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Value::test_int(1),
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Value::test_int(6),
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Value::test_int(2),
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Value::test_int(4),
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Value::test_int(3),
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],
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)])
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.expect("simple df for test should not fail")
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.into_value(Span::test_data()),
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),
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}]
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}
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fn run(
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&self,
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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command(engine_state, stack, call, input)
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}
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}
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fn command(
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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let value: Value = call.req(engine_state, stack, 0)?;
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let indices_value: Value = call
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.get_flag(engine_state, stack, "indices")?
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.expect("required named value");
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let indices_span = indices_value.span();
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let indices = NuDataFrame::try_from_value(indices_value)?.as_series(indices_span)?;
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let casted = match indices.dtype() {
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DataType::UInt32 | DataType::UInt64 | DataType::Int32 | DataType::Int64 => indices
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.as_ref()
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.cast(&DataType::UInt32)
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.map_err(|e| ShellError::GenericError {
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error: "Error casting indices".into(),
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msg: e.to_string(),
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span: Some(indices_span),
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help: None,
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inner: vec![],
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}),
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_ => Err(ShellError::GenericError {
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error: "Incorrect type".into(),
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msg: "Series with incorrect type".into(),
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span: Some(indices_span),
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help: Some("Consider using a Series with type int type".into()),
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inner: vec![],
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}),
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}?;
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let indices = casted
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.u32()
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.map_err(|e| ShellError::GenericError {
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error: "Error casting indices".into(),
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msg: e.to_string(),
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span: Some(indices_span),
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help: None,
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inner: vec![],
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})?
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.into_iter()
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.flatten();
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let df = NuDataFrame::try_from_pipeline(input, call.head)?;
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let series = df.as_series(call.head)?;
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let span = value.span();
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let res = match value {
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Value::Int { val, .. } => {
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let chunked = series.i64().map_err(|e| ShellError::GenericError {
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error: "Error casting to i64".into(),
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msg: e.to_string(),
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span: Some(span),
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help: None,
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inner: vec![],
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})?;
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let res = chunked.scatter_single(indices, Some(val)).map_err(|e| {
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ShellError::GenericError {
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error: "Error setting value".into(),
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msg: e.to_string(),
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span: Some(span),
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help: None,
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inner: vec![],
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}
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})?;
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NuDataFrame::try_from_series(vec![res.into_series()], call.head)
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}
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Value::Float { val, .. } => {
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let chunked = series.f64().map_err(|e| ShellError::GenericError {
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error: "Error casting to f64".into(),
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msg: e.to_string(),
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span: Some(span),
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help: None,
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inner: vec![],
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})?;
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let res = chunked.scatter_single(indices, Some(val)).map_err(|e| {
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ShellError::GenericError {
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error: "Error setting value".into(),
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msg: e.to_string(),
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span: Some(span),
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help: None,
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inner: vec![],
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}
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})?;
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NuDataFrame::try_from_series(vec![res.into_series()], call.head)
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}
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Value::String { val, .. } => {
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let chunked = series.str().map_err(|e| ShellError::GenericError {
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error: "Error casting to string".into(),
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msg: e.to_string(),
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span: Some(span),
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help: None,
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inner: vec![],
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})?;
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let res = chunked
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.scatter_single(indices, Some(val.as_ref()))
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.map_err(|e| ShellError::GenericError {
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error: "Error setting value".into(),
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msg: e.to_string(),
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span: Some(span),
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help: None,
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inner: vec![],
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})?;
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let mut res = res.into_series();
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res.rename("string");
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NuDataFrame::try_from_series(vec![res.into_series()], call.head)
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}
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_ => Err(ShellError::GenericError {
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error: "Incorrect value type".into(),
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msg: format!(
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"this value cannot be set in a series of type '{}'",
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series.dtype()
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),
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span: Some(span),
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help: None,
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inner: vec![],
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}),
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};
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res.map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
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}
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#[cfg(test)]
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mod test {
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use super::super::super::super::test_dataframe::test_dataframe;
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use super::*;
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#[test]
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fn test_examples() {
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test_dataframe(vec![Box::new(SetWithIndex {})])
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}
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}
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