dummipy
Quickstart
$ pip install dummipyLet it out of the box…
from sklearn.linear_model import LinearRegression from dummipy import cereal type(cereal) # CategoricalDataFrame cereal.head() reg = LinearRegression() reg.fit(cereal[['mfr', 'vitamins', 'fat']], cereal.calories)
Installation
You’ll need `pandas <http://pandas.pydata.org/>`__, but any old version will do the trick. There is no pandas version pegged in the setup.py file so installing dummipy won’t mess up your existing sci-py setup.
$ pip install dummipyUse
Just use it like any old data frame. That’s really all there is to it.
import dummipy as dp
df = dp.CategoricalDataFrame({
"x": range(5),
"y": ["a", "b", "c", "a", "b"]
})
df = pd.read_csv("foo.csv")
df = dp.CategoricalDataFrame(df)
1 maintainer
Metadata
1 maintainer
Release files for dummipy 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dummipy-0.0.1.tar.gz | 5.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dummipy-0.0.1-py2.7.egg | Legacy Egg format | - | - | Details |
Total release size: 14.7 kB
Release files / dummipy-0.0.1.tar.gz
| Download URL | dummipy-0.0.1.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
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Release files / dummipy-0.0.1-py2.7.egg
| Download URL | dummipy-0.0.1-py2.7.egg |
|---|---|
| Size | 8.9 kB |
| Tags | Egg |
|
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