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sklearn-pandas reviews and mentions
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3D desktop Game Engine scriptable in Python
https://arrow.apache.org/docs/python/generated/pyarrow.from_...
https://github.com/scikit-learn-contrib/sklearn-pandas :
> Sklearn-pandas: This module provides a bridge between Scikit-Learn's machine learning methods and pandas-style Data Frames. In particular, it provides a way to map DataFrame columns to transformations, which are later recombined into features.
Pandas docs > PyArrow > I/O https://pandas.pydata.org/docs/user_guide/pyarrow.html#i-o-r... :
> By default, these functions and all other IO reader functions return NumPy-backed data. These readers can return PyArrow-backed data by specifying the parameter dtype_backend="pyarrow"
> [...] Several non-IO reader functions can also use the dtype_backend argument to return PyArrow-backed data including: to_numeric() , DataFrame.convert_dtypes() , Series.convert_dtypes()
x = pandas.read_csv(".csv", dtype_backend="pyarrow")
Stats
scikit-learn-contrib/sklearn-pandas is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of sklearn-pandas is Python.
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