use super::super::values::{Column, NuDataFrame}; use nu_protocol::{ ast::Call, engine::{Command, EngineState, Stack}, Category, Example, PipelineData, ShellError, Signature, Span, Type, Value, }; #[derive(Clone)] pub struct NNull; impl Command for NNull { fn name(&self) -> &str { "dfr count-null" } fn usage(&self) -> &str { "Counts null values." } 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: "Counts null values", example: r#"let s = ([1 1 0 0 3 3 4] | dfr into-df); ($s / $s) | dfr count-null"#, result: Some( NuDataFrame::try_from_columns( vec![Column::new( "count_null".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 res = df.as_series(call.head)?.null_count(); let value = Value::int(res as i64, call.head); NuDataFrame::try_from_columns( vec![Column::new("count_null".to_string(), vec![value])], None, ) .map(|df| PipelineData::Value(NuDataFrame::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(NNull {})]) } }