Remove NaN/NULL columns in a Pandas dataframe?

Yes, dropna. See and the DataFrame.dropna docstring:

Definition: DataFrame.dropna(self, axis=0, how='any', thresh=None, subset=None)
Return object with labels on given axis omitted where alternately any
or all of the data are missing

axis : {0, 1}
how : {'any', 'all'}
    any : if any NA values are present, drop that label
    all : if all values are NA, drop that label
thresh : int, default None
    int value : require that many non-NA values
subset : array-like
    Labels along other axis to consider, e.g. if you are dropping rows
    these would be a list of columns to include

dropped : DataFrame

The specific command to run would be:


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