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# 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. -->
90 lines
2.5 KiB
Rust
90 lines
2.5 KiB
Rust
use super::super::super::values::{Column, NuDataFrame};
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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, Type, Value,
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};
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use polars::prelude::{IntoSeries, StringNameSpaceImpl};
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#[derive(Clone)]
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pub struct StrLengths;
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impl Command for StrLengths {
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fn name(&self) -> &str {
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"dfr str-lengths"
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}
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fn usage(&self) -> &str {
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"Get lengths of all strings."
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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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: "Returns string lengths",
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example: "[a ab abc] | dfr into-df | dfr str-lengths",
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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![Value::test_int(1), Value::test_int(2), Value::test_int(3)],
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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 df = NuDataFrame::try_from_pipeline(input, call.head)?;
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let series = df.as_series(call.head)?;
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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(call.head),
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help: Some("The str-lengths command can only be used with string columns".into()),
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inner: vec![],
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})?;
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let res = chunked.as_ref().str_len_bytes().into_series();
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NuDataFrame::try_from_series(vec![res], call.head)
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.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(StrLengths {})])
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}
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}
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