1fd26727c5
* corrected missing shellerror type * batch dataframe commands * removed option to find declaration with input * ordered dataframe folders
112 lines
3.0 KiB
Rust
112 lines
3.0 KiB
Rust
use nu_engine::CallExt;
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use nu_protocol::{
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ast::Call,
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engine::{Command, EngineState, Stack},
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Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Value,
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};
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use super::values::utils::convert_columns;
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use super::values::{Column, NuDataFrame};
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#[derive(Clone)]
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pub struct DropDF;
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impl Command for DropDF {
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fn name(&self) -> &str {
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"drop-df"
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}
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fn usage(&self) -> &str {
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"Creates a new dataframe by dropping the selected columns"
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}
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fn signature(&self) -> Signature {
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Signature::build(self.name())
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.rest("rest", SyntaxShape::Any, "column names to be dropped")
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.category(Category::Custom("dataframe".into()))
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}
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fn examples(&self) -> Vec<Example> {
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vec![Example {
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description: "drop column a",
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example: "[[a b]; [1 2] [3 4]] | to df | drop-df a",
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result: Some(
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NuDataFrame::try_from_columns(vec![Column::new(
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"b".to_string(),
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vec![2.into(), 4.into()],
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)])
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.expect("simple df for test should not fail")
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.into_value(Span::unknown()),
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),
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}]
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}
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fn run(
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&self,
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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command(engine_state, stack, call, input)
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}
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}
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fn command(
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engine_state: &EngineState,
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stack: &mut Stack,
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call: &Call,
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input: PipelineData,
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) -> Result<PipelineData, ShellError> {
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let columns: Vec<Value> = call.rest(engine_state, stack, 0)?;
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let (col_string, col_span) = convert_columns(columns, call.head)?;
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let df = NuDataFrame::try_from_pipeline(input, call.head)?;
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let new_df = col_string
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.get(0)
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.ok_or_else(|| {
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ShellError::SpannedLabeledError(
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"Empty names list".into(),
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"No column names where found".into(),
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col_span,
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)
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})
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.and_then(|col| {
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df.as_ref().drop(&col.item).map_err(|e| {
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ShellError::SpannedLabeledError(
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"Error dropping column".into(),
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e.to_string(),
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col.span,
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)
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})
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})?;
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// If there are more columns in the drop selection list, these
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// are added from the resulting dataframe
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col_string
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.iter()
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.skip(1)
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.try_fold(new_df, |new_df, col| {
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new_df.drop(&col.item).map_err(|e| {
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ShellError::SpannedLabeledError(
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"Error dropping column".into(),
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e.to_string(),
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col.span,
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)
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})
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})
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.map(|df| PipelineData::Value(NuDataFrame::dataframe_into_value(df, call.head), None))
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}
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#[cfg(test)]
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mod test {
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use super::super::test_dataframe::test_dataframe;
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use super::*;
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#[test]
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fn test_examples() {
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test_dataframe(DropDF {})
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}
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}
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