Closed
Description
Pandas version checks
-
I have checked that this issue has not already been reported.
-
I have confirmed this bug exists on the latest version of pandas.
-
I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
print(pd.__version__)
i = pd.Interval(pd.Timestamp("2020-01-01"), pd.Timestamp("2020-01-02"))
print(repr(i))
print(i)
1.4.2
Interval('2020-01-01', '2020-01-02', closed='right')
(2020-01-01, 2020-01-02]
1.5.0.dev0+958.gf7be58a477
Interval('2020-01-01', '2020-01-02', inclusive='both')
[2020-01-01, 2020-01-02]
Issue Description
This isn't mentioned in the release notes. We should decide on how to proceed.
Expected Behavior
Installed Versions
Replace this line with the output of pd.show_versions()