Python package df2onehot is to convert a pandas dataframe into a stuctured dataframe.
Project description
df2onehot
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- df2onehot is Python package to convert your complex dataframe into a one-hot dense array.
Contents
Installation
- Install df2onehot from PyPI (recommended). df2onehot is compatible with Python 3.6+ and runs on Linux, MacOS X and Windows.
- It is distributed under the MIT license.
Quick Start
pip install df2onehot
- Alternatively, install df2onehot from the GitHub source:
git clone https://github.com/erdogant/df2onehot.git
cd df2onehot
python -U setup.py install
Import df2onehot package
import df2onehot
# Example dataset
df = df2onehot.import_example()
Example:
from df2onehot import df2onehot
# Convert
out = df2onehot(df)
# Force features (int or float) to be numeric if unique non-zero values are above percentage.
out = df2onehot(df, perc_min_num=0.8)
# Remove categorical features for which less then 2 values exists.
out = df2onehot(df, y_min=2)
# Combine two rules above.
out = df2onehot(df, y_min=2, perc_min_num=0.8)
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