Remove the rows in the dataframe that are empty strings or are NaN in the Revenue column. code example

Example 1: remove rows or columns with NaN value

df.dropna()     #drop all rows that have any NaN values
df.dropna(how='all')

Example 2: pandas remove rows with null in column

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