remove row that have NaN code example

Example 1: remove all rows where one ccolumns egale to nan

#remove in dataframe but no in the file
df = df[df['column'].notna()]

#remove in dataframe and in the file
df.dropna(subset=['EPS'], how='all', inplace=True)

Example 2: drop column with nan values

fish_frame = fish_frame.dropna(axis = 1, how = 'all')