drop null for certian columns in pandas] code example

Example 1: drop if nan in column pandas

df = df[df['EPS'].notna()]

Example 2: 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)