feat: #1300 concat Series with dtype #1302
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tests/test_frame.py
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| check(assert_type(ts1, pd.Series), pd.Series) | ||
| check(assert_type(ts2, pd.Series), pd.Series) | ||
| check(assert_type(ts1, "pd.Series[int]"), pd.Series, np.int64) |
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In general I would recommend using np.integer, np.floating and np.complexfloating in those instances since those types are a little wider and don't rely only on 16/32/64 bits (same in the other places you have modified).
The rest looks good to me.
cmp0xff
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https://github.com/pandas-dev/pandas-stubs/pull/1302/files#r2248094383 Co-authored-by: Irv Lustig <[email protected]>
Dr-Irv
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Thanks @loicdiridollou for the idea and @Dr-Irv for the review 😄 |
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* feat(series): #1098 arithmetic truediv * fix(typing): __truediv__ * fix(typing): truediv * fix(typing): __rtruediv__ and rtruediv * fix(typing): div and rdiv * fix(comment): ordering #1280 (review) * fix(comment): #1302 (comment) * fix(typing): truediv path * fix(comment): ordering #1280 (review)
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Taking @loicdiridollou's idea from #1300 (comment)
assert_type()to assert the type of any return value