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Dataframe support for small int types (#10828)

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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
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GPG key ID: 4AEE18F83AFDEB23
2 changed files with 24 additions and 53 deletions
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4
crates/nu-cmd-dataframe/Cargo.toml
View file

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

73
crates/nu-cmd-dataframe/src/dataframe/eager/dummies.rs
View file

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