Ecosyste.ms: Issues
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GitHub / clembou/behave-pandas issues and pull requests
#25 - Update project to support latest Python and pandas versions
Pull Request -
State: closed - Opened by clembou 3 months ago
#24 - Update supported Python versions
Pull Request -
State: open - Opened by clembou 3 months ago
#23 - Remove upper bound restriction on pandas and numpy + changelog for v0.5.0
Pull Request -
State: closed - Opened by clembou almost 2 years ago
#22 - Feature/move to GitHub actions
Pull Request -
State: closed - Opened by clembou almost 2 years ago
#21 - drop python 3.5 in CI, and add 3.9,3.10,3.11
Pull Request -
State: closed - Opened by clembou almost 2 years ago
#20 - Update to worth with numpy >= 1.24
Pull Request -
State: closed - Opened by lkacenja about 2 years ago
- 3 comments
#19 - behave_pandas library does not work for numpy >= 1.24
Issue -
State: closed - Opened by pixelthedatafreak about 2 years ago
- 4 comments
#18 - add support for new nullable types from pandas 1.0
Pull Request -
State: closed - Opened by clembou almost 5 years ago
#17 - CI and packaging updates
Pull Request -
State: closed - Opened by clembou almost 5 years ago
#16 - Refactor type handling
Pull Request -
State: closed - Opened by clembou almost 5 years ago
#15 - Added step to README.md
Pull Request -
State: closed - Opened by erolosty over 5 years ago
#14 - ensure ordered dict printing is tested
Pull Request -
State: closed - Opened by clembou about 6 years ago
#13 - only install black when running python 3.6 and above
Pull Request -
State: closed - Opened by clembou about 6 years ago
#12 - Format with black
Pull Request -
State: closed - Opened by clembou about 6 years ago
#11 - test and explicitly support 3.7
Pull Request -
State: closed - Opened by clembou about 6 years ago
#10 - add support for `OrderedDict` objects
Pull Request -
State: closed - Opened by clembou about 6 years ago
#9 - Add support for supplying column types in table_to_dataframe
Issue -
State: open - Opened by jtv8 over 6 years ago
- 1 comment
#8 - No posibility for either np.nan or None for int type, but so for float type - inconsistency ?
Issue -
State: closed - Opened by username-still-not-available over 6 years ago
- 2 comments
#7 - always use object as dtype when creating a string series
Pull Request -
State: closed - Opened by clembou over 6 years ago
#6 - added list and dict types
Pull Request -
State: closed - Opened by username-still-not-available over 6 years ago
- 5 comments
#5 - use native markdown support form pypi.org
Pull Request -
State: closed - Opened by clembou almost 7 years ago
#4 - Exception for new version of pandas
Issue -
State: closed - Opened by username-still-not-available almost 7 years ago
- 3 comments
#3 - Handle printing dataframes with null values
Pull Request -
State: closed - Opened by clembou almost 7 years ago
#2 - dataframe_to_table should handle `nan` and `None` correctly
Issue -
State: closed - Opened by clembou almost 7 years ago
#1 - add Travis CI badge
Pull Request -
State: closed - Opened by clembou almost 7 years ago