Loading q2_taxa/_version.py +3 −3 Original line number Diff line number Diff line Loading @@ -23,9 +23,9 @@ def get_keywords(): # setup.py/versioneer.py will grep for the variable names, so they must # each be defined on a line of their own. _version.py will just call # get_keywords(). git_refnames = " (tag: 2019.7.0)" git_full = "bc018fe8540f9f0fb4f4cf6729d840a53f5d8c31" git_date = "2019-07-30 18:15:55 +0000" git_refnames = " (tag: 2019.10.0)" git_full = "32a88e36b612e5a6b9fa1239076096e91b7ffae1" git_date = "2019-11-01 01:04:24 +0000" keywords = {"refnames": git_refnames, "full": git_full, "date": git_date} return keywords Loading q2_taxa/_visualizer.py +1 −1 Original line number Diff line number Diff line Loading @@ -26,7 +26,7 @@ def barplot(output_dir: str, table: pd.DataFrame, taxonomy: pd.Series, metadata: Metadata) -> None: ids_not_in_metadata = set(table.index) - set(metadata.ids) if ids_not_in_metadata: raise ValueError('Feature IDs found in the table are missing in the ' raise ValueError('Sample IDs found in the table are missing in the ' f'metadata: {ids_not_in_metadata!r}.') metadata = metadata.to_dataframe() Loading Loading
q2_taxa/_version.py +3 −3 Original line number Diff line number Diff line Loading @@ -23,9 +23,9 @@ def get_keywords(): # setup.py/versioneer.py will grep for the variable names, so they must # each be defined on a line of their own. _version.py will just call # get_keywords(). git_refnames = " (tag: 2019.7.0)" git_full = "bc018fe8540f9f0fb4f4cf6729d840a53f5d8c31" git_date = "2019-07-30 18:15:55 +0000" git_refnames = " (tag: 2019.10.0)" git_full = "32a88e36b612e5a6b9fa1239076096e91b7ffae1" git_date = "2019-11-01 01:04:24 +0000" keywords = {"refnames": git_refnames, "full": git_full, "date": git_date} return keywords Loading
q2_taxa/_visualizer.py +1 −1 Original line number Diff line number Diff line Loading @@ -26,7 +26,7 @@ def barplot(output_dir: str, table: pd.DataFrame, taxonomy: pd.Series, metadata: Metadata) -> None: ids_not_in_metadata = set(table.index) - set(metadata.ids) if ids_not_in_metadata: raise ValueError('Feature IDs found in the table are missing in the ' raise ValueError('Sample IDs found in the table are missing in the ' f'metadata: {ids_not_in_metadata!r}.') metadata = metadata.to_dataframe() Loading