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; #[derive(Clone)] pub struct ArgUnique; impl Command for ArgUnique { fn name(&self) -> &str { "arg-unique" } fn usage(&self) -> &str { "Returns indexes for unique values" } fn signature(&self) -> Signature { Signature::build(self.name()) .input_type(Type::Custom("dataframe".into())) .output_type(Type::Custom("dataframe".into())) .category(Category::Custom("dataframe".into())) } fn examples(&self) -> Vec { vec![Example { description: "Returns indexes for unique values", example: "[1 2 2 3 3] | into df | arg-unique", result: Some( NuDataFrame::try_from_columns(vec![Column::new( "arg_unique".to_string(), vec![Value::test_int(0), Value::test_int(1), Value::test_int(3)], )]) .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 mut res = df .as_series(call.head)? .arg_unique() .map_err(|e| { ShellError::GenericError( "Error extracting unique values".into(), e.to_string(), Some(call.head), None, Vec::new(), ) })? .into_series(); res.rename("arg_unique"); 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(ArgUnique {})]) } }