datar
A Grammar of Data Manipulation in python (by pwwang)
dfply
dplyr-style piping operations for pandas dataframes (by kieferk)
datar | dfply | |
---|---|---|
4 | 5 | |
255 | 882 | |
- | - | |
7.4 | 0.0 | |
about 2 months ago | almost 2 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
datar
Posts with mentions or reviews of datar.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-28.
- Difficulty transitioning between R and Python?
- What would it take to recreate dplyr in Python?
-
datar: the dplyr in python
datar does not only mimic the piping syntax, but follows the API design from dplyr as much as possible, and is tested with its test cases.
df = tibble( x=range(4), y=['zero', 'one', 'two', 'three'] ) df >> mutate(z=f.x) """# output x y z 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 0 0 zero 0 1 1 one 0 2 2 two 1 3 3 three 1 """ df >> filter(f.x>1) """# output: x y 0 2 two 1 3 three """ df >> mutate(z=if_else(f.x>1, 1, 0)) >> filter(f.z==1) """# output: x y z 0 2 two 1 1 3 three 1 """ ``` Works with plotnine ```python 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)) ``` ![plotnine](https://github.com/pwwang/datar/raw/master/example.png) Easy to integrate with other libraries ```python import klib from pipda import register_verb from datar.datasets import iris from datar.dplyr import pull dist_plot = register_verb(func=klib.dist_plot) iris >> pull(f.Sepal_Length) >> dist_plot() ``` ![klib](https://github.com/pwwang/datar/raw/master/example2.png) For more detailed and advanced usage, see https://pwwang.github.io/datar/
dfply
Posts with mentions or reviews of dfply.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-28.
- Difficulty transitioning between R and Python?
- Help to find a better way to create new pandas columns
- Siuba – A Dplyr Port to Python
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Transition From R To Python
Just curious - have you explored dfply over Pandas?
What are some alternatives?
When comparing datar and dfply you can also consider the following projects:
pipda - A framework for data piping in python
plydata - A grammar for data manipulation in Python