use crate::prelude::*; use nu_engine::WholeStreamCommand; use nu_errors::ShellError; use nu_protocol::{ dataframe::{Column, NuDataFrame}, Signature, SyntaxShape, UntaggedValue, Value, }; use super::utils::{convert_columns, parse_polars_error}; pub struct DataFrame; impl WholeStreamCommand for DataFrame { fn name(&self) -> &str { "dataframe drop" } fn usage(&self) -> &str { "[DataFrame] Creates a new dataframe by dropping the selected columns" } fn signature(&self) -> Signature { Signature::build("dataframe drop").rest( "rest", SyntaxShape::Any, "column names to be dropped", ) } fn run(&self, args: CommandArgs) -> Result { command(args) } fn examples(&self) -> Vec { vec![Example { description: "drop column a", example: "[[a b]; [1 2] [3 4]] | dataframe to-df | dataframe drop a", result: Some(vec![NuDataFrame::try_from_columns( vec![Column::new( "b".to_string(), vec![UntaggedValue::int(2).into(), UntaggedValue::int(4).into()], )], &Span::default(), ) .expect("simple df for test should not fail") .into_value(Tag::default())]), }] } } fn command(mut args: CommandArgs) -> Result { let tag = args.call_info.name_tag.clone(); let columns: Vec = args.rest(0)?; let (col_string, col_span) = convert_columns(&columns, &tag)?; let (df, _) = NuDataFrame::try_from_stream(&mut args.input, &tag.span)?; let new_df = match col_string.get(0) { Some(col) => df .as_ref() .drop(col) .map_err(|e| parse_polars_error::<&str>(&e, &col_span, None)), None => Err(ShellError::labeled_error( "Empty names list", "No column names where found", &col_span, )), }?; // If there are more columns in the drop selection list, these // are added from the resulting dataframe let res = col_string.iter().skip(1).try_fold(new_df, |new_df, col| { new_df .drop(col) .map_err(|e| parse_polars_error::<&str>(&e, &col_span, None)) })?; Ok(OutputStream::one(NuDataFrame::dataframe_to_value(res, tag))) } #[cfg(test)] mod tests { use super::DataFrame; use super::ShellError; #[test] fn examples_work_as_expected() -> Result<(), ShellError> { use crate::examples::test_dataframe as test_examples; test_examples(DataFrame {}) } }