use crate::dataframe::values::{utils::convert_columns_string, Column, NuDataFrame}; use nu_engine::command_prelude::*; #[derive(Clone)] pub struct GetDF; impl Command for GetDF { fn name(&self) -> &str { "dfr get" } fn usage(&self) -> &str { "Creates dataframe with the selected columns." } fn signature(&self) -> Signature { Signature::build(self.name()) .rest("rest", SyntaxShape::Any, "column names to sort dataframe") .input_output_type( Type::Custom("dataframe".into()), Type::Custom("dataframe".into()), ) .category(Category::Custom("dataframe".into())) } fn examples(&self) -> Vec { vec![Example { description: "Returns the selected column", example: "[[a b]; [1 2] [3 4]] | dfr into-df | dfr get a", result: Some( NuDataFrame::try_from_columns( vec![Column::new( "a".to_string(), vec![Value::test_int(1), Value::test_int(3)], )], None, ) .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 columns: Vec = call.rest(engine_state, stack, 0)?; let (col_string, col_span) = convert_columns_string(columns, call.head)?; let df = NuDataFrame::try_from_pipeline(input, call.head)?; df.as_ref() .select(col_string) .map_err(|e| ShellError::GenericError { error: "Error selecting columns".into(), msg: e.to_string(), span: Some(col_span), help: None, inner: vec![], }) .map(|df| PipelineData::Value(NuDataFrame::dataframe_into_value(df, call.head), None)) } #[cfg(test)] mod test { use super::super::super::test_dataframe::test_dataframe; use super::*; #[test] fn test_examples() { test_dataframe(vec![Box::new(GetDF {})]) } }