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Improve the workarounds for handling pandas nullable dtypes in pandas<=2.1 #3596
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# pandas nullable dtypes and pyarrow types were converted to np.object_ dtype | ||
# before, and are converted to suitable numpy dtypes since pandas 2.2. | ||
# Refer to the following link for details: | ||
# https://pandas.pydata.org/docs/whatsnew/v2.2.0.html#to-numpy-for-numpy-nullable-and-arrow-types-converts-to-suitable-numpy-dtype | ||
# Here are the workarounds for pandas < 2.2. | ||
# Following SPEC 0, pandas 2.1 should be dropped in 2025 Q3, so it's likely we can | ||
# remove the workaround in PyGMT v0.17.0. |
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# pandas nullable dtypes and pyarrow types were converted to np.object_ dtype | |
# before, and are converted to suitable numpy dtypes since pandas 2.2. | |
# Refer to the following link for details: | |
# https://pandas.pydata.org/docs/whatsnew/v2.2.0.html#to-numpy-for-numpy-nullable-and-arrow-types-converts-to-suitable-numpy-dtype | |
# Here are the workarounds for pandas < 2.2. | |
# Following SPEC 0, pandas 2.1 should be dropped in 2025 Q3, so it's likely we can | |
# remove the workaround in PyGMT v0.17.0. | |
# pandas nullable dtypes and PyArrow types were converted to np.object_ dtype | |
# before, and are converted to suitable NumPy dtypes since pandas 2.2. | |
# Refer to the following link for details: | |
# https://pandas.pydata.org/docs/whatsnew/v2.2.0.html#to-numpy-for-numpy-nullable-and-arrow-types-converts-to-suitable-numpy-dtype | |
# Here are the workarounds for pandas < 2.2. | |
# Following SPEC 0, pandas 2.1 should be dropped in 2025 Q3, so it's likely we can | |
# remove the workaround in PyGMT v0.17.0. |
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Please review the changes in #3584 first. I'll cherry-pick changes in that PR to this PR later. |
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Description of proposed changes
This PR is cherry-picked from #3584. See that PR for context. More tests will be added in that PR too.
This PR is an improved version of PR #3505.
Labeling this PR as "bug" and we will merge the two entries for PR #3505 and this PR when we drafting the release changelog.