use super::super::super::values::{Column, NuDataFrame}; use nu_protocol::{ ast::Call, engine::{Command, EngineState, Stack}, Category, Example, PipelineData, ShellError, Signature, Span, }; use polars::prelude::IntoSeries; #[derive(Clone)] pub struct IsUnique; impl Command for IsUnique { fn name(&self) -> &str { "dfr is-unique" } fn usage(&self) -> &str { "Creates mask indicating unique values" } fn signature(&self) -> Signature { Signature::build(self.name()).category(Category::Custom("dataframe".into())) } fn examples(&self) -> Vec { vec![Example { description: "Create mask indicating unique values", example: "[5 6 6 6 8 8 8] | dfr to-df | dfr is-unique", result: Some( NuDataFrame::try_from_columns(vec![Column::new( "is_unique".to_string(), vec![ true.into(), false.into(), false.into(), false.into(), false.into(), false.into(), false.into(), ], )]) .expect("simple df for test should not fail") .into_value(Span::unknown()), ), }] } 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 mut res = df.as_series(call.head)?.is_unique().map_err(|e| { ShellError::SpannedLabeledError( "Error finding unique values".into(), e.to_string(), call.head, ) })?; res.rename("is_unique"); 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(IsUnique {})]) } }