熊猫-如何在NaN列中实现每个值？

Question

I want to clear all the data from a column within my dataframe but keep the dataframe exactly the same.

The Excel equivalent of this would be to select all the data in a column beneath the header and right-click "Clear Contents".

I tried this:

test = df.replace(to_replace=df('Column Name'), value=NaN)

but got an error stating:

TypeError: 'DataFrame' object is not callable

I don't know what that means or how to think about changing my code.

Answer 1

只需df['Column Name'] = NaN ， 简单