Metadata-Version: 2.1
Name: datar
Version: 0.10.0rc0
Summary: A Grammar of Data Manipulation in python
Home-page: https://github.com/pwwang/datar
License: MIT
Author: pwwang
Author-email: pwwang@pwwang.com
Requires-Python: >=3.7.1,<4.0.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Provides-Extra: modin
Provides-Extra: numpy
Provides-Extra: pandas
Requires-Dist: datar-numpy (>=0.0.0,<0.0.1); extra == "numpy"
Requires-Dist: datar-pandas (>=0.0.0,<0.0.1); extra == "pandas"
Requires-Dist: pipda (>=0.10,<0.11)
Requires-Dist: python-simpleconf[toml] (>=0.5,<0.6)
Requires-Dist: simplug (>=0.1.5,<0.2.0)
Project-URL: Repository, https://github.com/pwwang/datar
Description-Content-Type: text/markdown

# datar

A Grammar of Data Manipulation in python

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[![Pypi][6]][7] [![Github][8]][9] ![Building][10] [![Docs and API][11]][5] [![Codacy][12]][13] [![Codacy coverage][14]][13]

`datar` is a re-imagining of APIs for data manipulation in python with multiple backends supported.

## Installation

```shell
pip install -U datar

# install with a backend
pip install -U datar[numpy]

# with multiple backends
pip install -U datar[pandas, polars]
```

## Example usage

```python
# with pandas backend
from datar import f
from datar.dplyr import mutate, filter, if_else
from datar.tibble import tibble
# or
# from datar.all import f, mutate, filter, if_else, tibble

df = tibble(
    x=range(4),  # or c[:4]  (from datar.base import c)
    y=['zero', 'one', 'two', 'three']
)
df >> mutate(z=f.x)
"""# output
        x        y       z
  <int64> <object> <int64>
0       0     zero       0
1       1      one       1
2       2      two       2
3       3    three       3
"""

df >> mutate(z=if_else(f.x>1, 1, 0))
"""# output:
        x        y       z
  <int64> <object> <int64>
0       0     zero       0
1       1      one       0
2       2      two       1
3       3    three       1
"""

df >> filter(f.x>1)
"""# output:
        x        y
  <int64> <object>
0       2      two
1       3    three
"""

df >> mutate(z=if_else(f.x>1, 1, 0)) >> filter(f.z==1)
"""# output:
        x        y       z
  <int64> <object> <int64>
0       2      two       1
1       3    three       1
"""
```

```python
# works with plotnine
# example grabbed from https://github.com/has2k1/plydata
import numpy
from datar.base import sin, pi
from plotnine import ggplot, aes, geom_line, theme_classic

df = tibble(x=numpy.linspace(0, 2*pi, 500))
(df >>
  mutate(y=sin(f.x), sign=if_else(f.y>=0, "positive", "negative")) >>
  ggplot(aes(x='x', y='y')) +
  theme_classic() +
  geom_line(aes(color='sign'), size=1.2))
```

![example](./example.png)

```python
# very easy to integrate with other libraries
# for example: klib
import klib
from pandas import Series
from pipda import register_verb
from datar.datasets import iris
from datar.dplyr import pull

dist_plot = register_verb(Series, func=klib.dist_plot)
iris >> pull(f.Sepal_Length) >> dist_plot()
```

![example](./example2.png)

[5]: https://pwwang.github.io/datar/
[6]: https://img.shields.io/pypi/v/datar?style=flat-square
[7]: https://pypi.org/project/datar/
[8]: https://img.shields.io/github/v/tag/pwwang/datar?style=flat-square
[9]: https://github.com/pwwang/datar
[10]: https://img.shields.io/github/workflow/status/pwwang/datar/Build%20and%20Deploy?style=flat-square
[11]: https://img.shields.io/github/workflow/status/pwwang/datar/Build%20Docs?label=Docs&style=flat-square
[12]: https://img.shields.io/codacy/grade/3d9bdff4d7a34bdfb9cd9e254184cb35?style=flat-square
[13]: https://app.codacy.com/gh/pwwang/datar
[14]: https://img.shields.io/codacy/coverage/3d9bdff4d7a34bdfb9cd9e254184cb35?style=flat-square

