Time Series Extras (e.g. business day utilities) for Polars
Project description
polars-xdt
eXtra stuff for DateTimes
eXtra stuff for DateTimes in Polars.
- ✅ blazingly fast, written in Rust
- ✅ custom business-day arithmetic
- ✅ convert to and from multiple time zones
- ✅ format datetime in different locales
- ✅ convert to Julian Dates
Installation
First, you need to install Polars.
Then, you'll need to install polars-xdt
:
pip install polars-xdt
Read the documentation for a little tutorial and API reference.
Basic Example
Say we start with
from datetime import date
import polars as pl
import polars_xdt as xdt
df = pl.DataFrame(
{"date": [date(2023, 4, 3), date(2023, 9, 1), date(2024, 1, 4)]}
)
Let's shift Date
forwards by 5 days, excluding Saturday and Sunday:
result = df.with_columns(
date_shifted=xdt.offset_by(
'date',
'5bd',
weekend=('Sat', 'Sun'),
)
)
print(result)
shape: (3, 2)
┌────────────┬──────────────┐
│ date ┆ date_shifted │
│ --- ┆ --- │
│ date ┆ date │
╞════════════╪══════════════╡
│ 2023-04-03 ┆ 2023-04-10 │
│ 2023-09-01 ┆ 2023-09-08 │
│ 2024-01-04 ┆ 2024-01-11 │
└────────────┴──────────────┘
Note that polars-xdt
also registers a xdt
namespace in the Expression
class, so you
could equivalently write the above using pl.col('date').xdt.offset_by('5bd')
(but note
that then type-checking would not recognise the xdt
attribute).
Read the documentation for more examples!
Logo
Thanks to Olha Urdeichuk for the illustration.
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- Download URL: polars_xdt-0.11.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 6.3 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.4.0
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