To drop rows of a Python Pandas DataFrame whose value in a certain column is NaN, we call the notna method.
For instance, we write
df = df[df['EPS'].notna()]
to filter out the rows with 'EPS' column value that’s NaN by calling thw notna method on the column.
Then we get the filtered rows with df[df['EPS'].notna()]
