Develop #339
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Develop #339
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guillermo-navas-palencia
commented
Oct 28, 2024
guillermo-navas-palencia
commented
- Axis labels are cut off when saving the table plot to file Axis labels are cut off when saving the table plot to a file #303
- Packaging improvements Packaging improvements #335
- Legend missing in ScorecardMonitoring.psi_plot() Legend missing in ScorecardMonitoring.psi_plot() #327
…lt.savefig ``` plt.savefig(savefig, **save_kwargs) ```
…a bad practice. Changing to save_kwargs=None
Issue 303 allow kwargs for savefig
Has been deprecated for 5+ years and has been removed in recent setuptools versions. See pypa/setuptools#4519
Remove `tests_require`, it is essentially deprecated and wasn't used. See pypa/setuptools#931, it's likely to be removed soon.
Packaging improvements
FutureWarning: The provided callable is currently using SeriesGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "min" instead.
Fix auto-casting scalars to arrays for the folloing deprecation warning. DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
Address future warning by casting to pd.Series first. FutureWarning: pandas.value_counts is deprecated and will be removed in a future version. Use pd.Series(obj).value_counts() instead.
Resolve the deprecation warnings MatplotlibDeprecationWarning: Passing label as a length n sequence when plotting a single dataset is deprecated in Matplotlib 3.9 and will error in 3.11. To keep the current behavior, cast the sequence to string before passing. See https://matplotlib.org/stable/api/prev_api_changes/api_changes_3.9.0.html#legend-labels-for-plot
cvxpy no longer includes ecos by default. Users needing this functionality will have to install the extra. See https://www.cvxpy.org/updates/index.html#ecos-deprecation
Do not mark 3.7 and 3.8 as explicitly supported in the classifiers. The package is still installable on python 3.7 plus but may experience dependency issues as current versions of some dependencies are not functional on these versions
Allow numpy 2.0+ and fix deprecation warnings
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