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DOC: Enforce Numpy Docstring Validation | pandas.Timestamp
DOC: Enforce Numpy Docstring Validation (Parent Issue) #58063
Pandas has a script for validating docstrings in code_checks.sh. Currently, some methods fail some of these checks.
pandas.Timestamp
https://github.com/pandas-dev/pandas/blob/c468028f5c2398c04d355cef7a8b6a3952620de2/ci/code_checks.sh#L518-L585
The task is:
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take 1-5 methods
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run:
scripts/validate_docstrings.py --format=actions <method-name>
example command: scripts/validate_docstrings.py --format=actions pandas.Categorical.__array__
example output:
################################################################################
################################## Validation ##################################
################################################################################
2 Errors found for `pandas.Categorical.__array__`:
ES01 No extended summary found
SA01 See Also section not found
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check if validation docstrings passes for those methods, and if it’s necessary fix the docstrings according to whatever error is reported. Note: We've chosen to ignore ES01 errors, these are not required to be fixed.
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remove those methods from code_checks.sh if all errors are cleared and the docstring is correct, otherwise, remove the specific error that was fixed from the list of errors for that method.
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commit, push, open pull request
Please don't comment take
as multiple people can work on this issue. You also don't need to ask for permission to work on this, just comment on which methods are you going to work : )
If you're new contributor, please check the contributing guide
thanks @datapythonista @jordan-d-murphy for the inspiration for this issue!
working on
-i "pandas.Timestamp.day_name SA01" \
-i "pandas.Timestamp.day_of_week SA01" \
-i "pandas.Timestamp.day_of_year SA01" \
-i "pandas.Timestamp.dayofweek SA01" \
-i "pandas.Timestamp.dayofyear SA01" \
-i "pandas.Timestamp.days_in_month SA01" \
-i "pandas.Timestamp.daysinmonth SA01" \
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-i "pandas.Timestamp PR07,SA01" \
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-i "pandas.Timestamp.as_unit SA01" \
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pandas.Timestamp.asm8 SA01