polars-xdt

eXtra stuff for DateTimes

polars-xdt

PyPI version Read the docs!

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.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.17.1)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for ion-elgreco from gravatar.com ion-elgreco Avatar for MarcoGorelli from gravatar.com MarcoGorelli

Credits

Author: Marco Gorelli

Requires

Python >=3.8

Classifiers

Report project as malware

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MD5 459276b05a4a8047f3308cf6630b5a5b
BLAKE2b-256 6f5f0f96c50b97502833bd3db9a520e1e89080b4bb8182a6e1016875707a4a55

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0.17.1

6 files

0.17.0

6 files

0.16.8

6 files

0.16.7

6 files

0.16.2

6 files

0.16.1

6 files

0.16.0

9 files

0.15.3

9 files

0.15.2

9 files

0.15.0

9 files

0.14.14

9 files

0.14.13

9 files

0.14.12

9 files

0.14.11

9 files

0.14.10

9 files

0.14.7

9 files

0.14.6

9 files

0.14.5

9 files

0.14.3

9 files

0.14.2

9 files

0.14.1

9 files

0.14.0

9 files

0.13.0

9 files

0.12.11

9 files

0.12.8

9 files

0.12.7

9 files

This release

0.12.6 This release

51 files

0.12.5

51 files

0.12.4

51 files

0.12.3

51 files

0.12.2

51 files

0.12.1

51 files

0.11.0

51 files

0.10.0

51 files

0.9.0

51 files

0.8.1

51 files

0.8.0

51 files

0.7.1

51 files

0.7.0

51 files

0.6.0

51 files

0.5.7

51 files

0.5.3

51 files

0.5.2

51 files

0.5.1

51 files

0.5.0

51 files

0.4.3

69 files

0.4.2

2 files

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