use super::super::super::values::{Column, NuDataFrame}; use nu_protocol::{ ast::Call, engine::{Command, EngineState, Stack}, Category, Example, PipelineData, ShellError, Signature, Span, Value, }; use polars::prelude::IntoSeries; #[derive(Clone)] pub struct ArgTrue; impl Command for ArgTrue { fn name(&self) -> &str { "dfr arg-true" } fn usage(&self) -> &str { "Returns indexes where values are true" } fn signature(&self) -> Signature { Signature::build(self.name()).category(Category::Custom("dataframe".into())) } fn examples(&self) -> Vec { vec![Example { description: "Returns indexes where values are true", example: "[$false $true $false] | dfr to-df | dfr arg-true", result: Some( NuDataFrame::try_from_columns(vec![Column::new( "arg_true".to_string(), vec![Value::test_int(1)], )]) .expect("simple df for test should not fail") .into_value(Span::test_data()), ), }] } fn run( &self, engine_state: &EngineState, stack: &mut Stack, call: &Call, input: PipelineData, ) -> Result { command(engine_state, stack, call, input) } } fn command( _engine_state: &EngineState, _stack: &mut Stack, call: &Call, input: PipelineData, ) -> Result { let df = NuDataFrame::try_from_pipeline(input, call.head)?; let series = df.as_series(call.head)?; let bool = series.bool().map_err(|_| { ShellError::SpannedLabeledError( "Error converting to bool".into(), "all-false only works with series of type bool".into(), call.head, ) })?; let mut res = bool.arg_true().into_series(); res.rename("arg_true"); NuDataFrame::try_from_series(vec![res], call.head) .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None)) } #[cfg(test)] mod test { use super::super::super::super::test_dataframe::test_dataframe; use super::*; #[test] fn test_examples() { test_dataframe(vec![Box::new(ArgTrue {})]) } }