making column checking robust to passing pandas index #61
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tompollard
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Apr 20, 2018
tableone.py
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| categorical = self._detect_categorical_columns(data[columns]) | ||
| elif 'pandas.core.indexes' in str(type(categorical)): | ||
| categorical = categorical.get_values() | ||
| elif type(categorical) != list: |
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If someone specifies a single categorical variable as a string (e.g. categorical = 'ICU'), then I think we now ignore their selection and generate the list ourselves. Might be good to catch the string too?
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Quick fix - passing an index object to columns causes an error (e.g.
t1 = tableone(df, columns=df.columns)). Added a check if it's a pandas index data type since it's probably very common to pass it.