use crate::dataframe::values::{Column, NuDataFrame}; use nu_engine::command_prelude::*; #[derive(Clone)] pub struct ShapeDF; impl Command for ShapeDF { fn name(&self) -> &str { "dfr shape" } fn usage(&self) -> &str { "Shows column and row size for a dataframe." } 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: "Shows row and column shape", example: "[[a b]; [1 2] [3 4]] | dfr into-df | dfr shape", result: Some( NuDataFrame::try_from_columns( vec![ Column::new("rows".to_string(), vec![Value::test_int(2)]), Column::new("columns".to_string(), vec![Value::test_int(2)]), ], 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 df = NuDataFrame::try_from_pipeline(input, call.head)?; let rows = Value::int(df.as_ref().height() as i64, call.head); let cols = Value::int(df.as_ref().width() as i64, call.head); let rows_col = Column::new("rows".to_string(), vec![rows]); let cols_col = Column::new("columns".to_string(), vec![cols]); NuDataFrame::try_from_columns(vec![rows_col, cols_col], None) .map(|df| PipelineData::Value(df.into_value(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(ShapeDF {})]) } }