Dataframe support for small int types (#10828)

Turned features to allow signed and unsigned 8 and 16 bit types.

---------

Co-authored-by: Jack Wright <jack.wright@disqo.com>
This commit is contained in:
Jack Wright 2023-10-24 19:25:21 -07:00 committed by GitHub
parent 78b4472b32
commit c6016d7659
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 24 additions and 53 deletions

View File

@ -38,6 +38,10 @@ features = [
"dtype-categorical", "dtype-categorical",
"dtype-datetime", "dtype-datetime",
"dtype-struct", "dtype-struct",
"dtype-i8",
"dtype-i16",
"dtype-u8",
"dtype-u16",
"dynamic_group_by", "dynamic_group_by",
"ipc", "ipc",
"is_in", "is_in",

View File

@ -1,10 +1,10 @@
use super::super::values::{Column, NuDataFrame}; use super::super::values::NuDataFrame;
use nu_protocol::{ use nu_protocol::{
ast::Call, ast::Call,
engine::{Command, EngineState, Stack}, engine::{Command, EngineState, Stack},
Category, Example, PipelineData, ShellError, Signature, Span, Type, Value, Category, Example, PipelineData, ShellError, Signature, Span, Type,
}; };
use polars::prelude::DataFrameOps; use polars::{prelude::*, series::Series};
#[derive(Clone)] #[derive(Clone)]
pub struct Dummies; pub struct Dummies;
@ -34,24 +34,15 @@ impl Command for Dummies {
description: "Create new dataframe with dummy variables from a dataframe", description: "Create new dataframe with dummy variables from a dataframe",
example: "[[a b]; [1 2] [3 4]] | dfr into-df | dfr dummies", example: "[[a b]; [1 2] [3 4]] | dfr into-df | dfr dummies",
result: Some( result: Some(
NuDataFrame::try_from_columns(vec![ NuDataFrame::try_from_series(
Column::new( vec![
"a_1".to_string(), Series::new("a_1", &[1_u8, 0]),
vec![Value::test_int(1), Value::test_int(0)], Series::new("a_3", &[0_u8, 1]),
), Series::new("b_2", &[1_u8, 0]),
Column::new( Series::new("b_4", &[0_u8, 1]),
"a_3".to_string(), ],
vec![Value::test_int(0), Value::test_int(1)], Span::test_data(),
), )
Column::new(
"b_2".to_string(),
vec![Value::test_int(1), Value::test_int(0)],
),
Column::new(
"b_4".to_string(),
vec![Value::test_int(0), Value::test_int(1)],
),
])
.expect("simple df for test should not fail") .expect("simple df for test should not fail")
.into_value(Span::test_data()), .into_value(Span::test_data()),
), ),
@ -60,38 +51,14 @@ impl Command for Dummies {
description: "Create new dataframe with dummy variables from a series", description: "Create new dataframe with dummy variables from a series",
example: "[1 2 2 3 3] | dfr into-df | dfr dummies", example: "[1 2 2 3 3] | dfr into-df | dfr dummies",
result: Some( result: Some(
NuDataFrame::try_from_columns(vec![ NuDataFrame::try_from_series(
Column::new(
"0_1".to_string(),
vec![ vec![
Value::test_int(1), Series::new("0_1", &[1_u8, 0, 0, 0, 0]),
Value::test_int(0), Series::new("0_2", &[0_u8, 1, 1, 0, 0]),
Value::test_int(0), Series::new("0_3", &[0_u8, 0, 0, 1, 1]),
Value::test_int(0),
Value::test_int(0),
], ],
), Span::test_data(),
Column::new( )
"0_2".to_string(),
vec![
Value::test_int(0),
Value::test_int(1),
Value::test_int(1),
Value::test_int(0),
Value::test_int(0),
],
),
Column::new(
"0_3".to_string(),
vec![
Value::test_int(0),
Value::test_int(0),
Value::test_int(0),
Value::test_int(1),
Value::test_int(1),
],
),
])
.expect("simple df for test should not fail") .expect("simple df for test should not fail")
.into_value(Span::test_data()), .into_value(Span::test_data()),
), ),