Take into consideration df.column_name for being a “virtual attribute”, It is far from a factor in its possess proper, it is not the “seat” of that column, It truly is just a way to entry the column. Much like a home without any deleter.
Deleting a column using the iloc function of dataframe and slicing, when We have now a typical column title with undesirable values:
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Essentially addresses the WHY A part of initial problem. I've implemented subclasses from pandas dataframe. Doing so will educate you crucial portion of this reply.
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This will likely delete a number of columns in-place. Be aware that inplace=Accurate was additional in pandas v0.13 and won't Focus on more mature versions. You would really have to assign The end result back again in that circumstance:
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