How to replace all non-NaN entries of a dataframe with 1 and all NaN with 0

Question

I have a dataframe with 71 columns and 30597 rows. I want to replace all non-nan entries with 1 and the nan values with 0.

Initially I tried for-loop on each value of th

Answer 1

There is a method .fillna() on DataFrames which does what you need. For example:

df = df.fillna(0)  # Replace all NaN values with zero, returning the modified DataFrame

or

df.fillna(0, inplace=True)   # Replace all NaN values with zero, updating the DataFrame directly