df2onehot
df2onehot is a Python package to convert unstructured DataFrames into structured dataframes, such as one-hot dense arrays.
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Install df2onehot from PyPI
pip install df2onehot
Import df2onehot package
from df2onehot import df2onehot
Documentation pages
On the documentation pages you can find detailed information about the working of the df2onehot with many examples.
Examples
results = 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)
Maintainers
1 maintainer
Metadata
1 maintainer
Release files for df2onehot 1.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| df2onehot-1.2.3.tar.gz | 14.2 kB | Without provenance | Details for df2onehot-1.2.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| df2onehot-1.2.3-py3-none-any.whl | Python 3 | none | any | Details for df2onehot-1.2.3-py3-none-any.whl |
Total release size: 29.0 kB
Release files / df2onehot-1.2.3.tar.gz
| Download URL | df2onehot-1.2.3.tar.gz |
|---|---|
| Size | 14.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.13
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Release files / df2onehot-1.2.3-py3-none-any.whl
| Download URL | df2onehot-1.2.3-py3-none-any.whl |
|---|---|
| Size | 14.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
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Security for df2onehot 1.2.3
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