Problem description
In order to have a continuous check by the CI on validation error PR10, tackling them from the current code base enables the addition to the CI for automated testing in the future.
After checking an overview of the errors (all credits to @datapythonista for the introduction during europandas sprint), the PR10 has just 3 occurrences, so tackling them should be feasible during the sprint.
|
deprecated |
section |
type |
| pandas.set_option |
0 |
Working with options |
CallableDynamicDoc |
| pandas.ExcelWriter |
0 |
|
ABCMeta |
| pandas.core.groupby.DataFrameGroupBy.boxplot |
0 |
Computations / Descriptive Stats |
function |
Todo:
Problem description
In order to have a continuous check by the CI on validation error
PR10, tackling them from the current code base enables the addition to the CI for automated testing in the future.After checking an overview of the errors (all credits to @datapythonista for the introduction during europandas sprint), the
PR10has just 3 occurrences, so tackling them should be feasible during the sprint.Todo:
code_check.shscript to take into account thePR10type of errors