Fernando Herrera 11d7d8ea1e
Remove dfr from dataframe commands (#5760)
* input and output tests

* input and output types for dfr

* expression converter

* remove deprecated command

* correct expressions

* cargo clippy

* identifier for ls

* cargo clippy

* type for head and tail expression

* modify full cell path if block
2022-06-12 14:18:00 -05:00

126 lines
3.4 KiB
Rust

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