Python Pandas - How to Iterate Rows of a DataFrame

How can you iterate the rows of a Pandas DataFrame, row by row? Although that's not really what Pandas is designed for, this Python programming tutorial video explains how to iterate rows of a DataFrame using iterrows and itertuples.

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[shivayshakti]

People who share the code in their tutorial are real gems :)

[andynelson]

I have to watch this video every other week it seems. My brain can't retain this for some reason haha.

[iamniladri]

Hi! Thanks for such nice explanation. Can you please make a video on how to iterate over each rows and find out the max/min value for each rows across multiple columns. Suppose, I have a dataframe showing Jan - Dec (in rows) data for 5 scenarios (in columns). Now I would like to know which scenario is having max/min values for each rows. Thanks in advance

[ajaykushwaha-jemw]

one small question, suppose we have a feature gender with value Male or Female and we need to convert Male to 1 and female to 0. How can we do so ?

[plamenyankov]

Thank you for the tutorial!
Could anybody advise me how I can create a DataFrame form for loops as the example below. I scraped some legal data with Ajax requests:
for row in rows:
print(row["column_1"], row["column_2"], row["column_3"], row["column_4"])
Unfortunately I can't find method to save it as a dataframe.

[barkingtaco]

Im new to python. you mentioned that you do not have to really created a for loop because pandas had built in functions that is better?? can you please expain such function/methods. thank you!!