# dppd
| Build status: | [](https://travis-ci.com/TyberiusPrime/dppd)|
|---------------|-----------------------------------------------------------------------------|
| Documentation | https://dppd.readthedocs.io/en/latest/
| Code style | ](https://github.com/ambv/black)
Dppd is a python [dplyr](dplyr.tidyverse.org) clone.
It allows you to use code like this
```python
>>> from plotnine.data import mtcars
>>> from dppd import dppd
>>> dp, X = dppd()
>>> dp(mtcars).mutate(kwh = X.hp * 0.74).groupby('cyl').filter_by(X.kwh.rank() < 2).ungroup().pd
cyl name mpg disp hp drat wt qsec vs am gear carb kwh
5 6 Valiant 18.1 225.0 105 2.76 3.460 20.22 1 0 3 1 77.70
18 4 Honda Civic 30.4 75.7 52 4.93 1.615 18.52 1 1 4 2 38.48
21 8 Dodge Challenger 15.5 318.0 150 2.76 3.520 16.87 0 0 3 2 111.00
22 8 AMC Javelin 15.2 304.0 150 3.15 3.435 17.30 0 0 3 2 111.00
```
Briefly, it uses a data-manipulater instance (dp above) together with a proxied
reference to the latest created DataFrame (the X above) to achive for pandas what dpylr's
non-standard-evaluation based verbs does for R.
Please see our full documentation at https://dppd.readthedocs.io/en/latest/
for more details and a list of the supported verbs.
Also check out [dppd_plotnine](https://github.com/TyberiusPrime/dppd_plotnine)
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