what is following statement doing ? Df.drop(df.columns[0],axes=1)
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I'm aware that dropping a dataframe's columns should be as easy as:
df.drop(df.columns[1], axis=1) to drop by index
or dr.dropna(axis=1, how='any') to drop based on if it contains NaNs.
But neither of those works on my dataframe and I'm not sure if that's because of a format issue or data type issue or a misuse or misunderstanding of these commands.
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