use super::super::super::values::{Column, NuDataFrame}; use nu_protocol::{ ast::Call, engine::{Command, EngineState, Stack}, Category, Example, PipelineData, ShellError, Signature, Span, Type, Value, }; use polars::prelude::IntoSeries; use std::ops::Not; #[derive(Clone)] pub struct NotSeries; impl Command for NotSeries { fn name(&self) -> &str { "dfr not" } fn usage(&self) -> &str { "Inverts boolean mask." } fn signature(&self) -> Signature { Signature::build(self.name()) .input_output_type( Type::Custom("dataframe".into()), Type::Custom("dataframe".into()), ) .category(Category::Custom("dataframe".into())) } fn examples(&self) -> Vec { vec![Example { description: "Inverts boolean mask", example: "[true false true] | dfr into-df | dfr not", result: Some( NuDataFrame::try_from_columns(vec![Column::new( "0".to_string(), vec![ Value::test_bool(false), Value::test_bool(true), Value::test_bool(false), ], )]) .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 { let df = NuDataFrame::try_from_pipeline(input, call.head)?; command(engine_state, stack, call, df) } } fn command( _engine_state: &EngineState, _stack: &mut Stack, call: &Call, df: NuDataFrame, ) -> Result { let series = df.as_series(call.head)?; let bool = series.bool().map_err(|e| ShellError::GenericError { error: "Error inverting mask".into(), msg: e.to_string(), span: Some(call.head), help: None, inner: vec![], })?; let res = bool.not(); NuDataFrame::try_from_series(vec![res.into_series()], 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(NotSeries {})]) } }