Answers for "Remove the rows in the dataframe that are empty strings or are NaN in the Revenue column."

remove rows or columns with NaN value

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

Posted by: Guest on August-23-2020

pandas remove rows with null in column

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

Posted by: Guest on April-04-2021

Code answers related to "Remove the rows in the dataframe that are empty strings or are NaN in the Revenue column."