Python Pandas Tutorial Series: #8 DataFrame Iteration with iteritems, iterrows, and itertuples




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Pandas is a powerful data science library in python. The library builds off of Numpy and is a powerful tool for you to learn as a beginner or even as an advanced programmer. In this pandas tutorial, I show you how you can iterate through your DataFrames with the iteritems, iterrows, and itertuples functions.

The Data used in the video can be seen on Kaggle here:
CSV Data: https://www.kaggle.com/lava18/google-play-store-apps/data#googleplaystore.csv

XLSX Data: https://www.kaggle.com/skylord/coronawhy#Public_COVID-19_Canada.xlsx

Source


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Comment List

  • Shiva Ganapathy
    January 2, 2021

    Thanks for Watching! Let me know what else I should cover in the tutorial series.

  • Shiva Ganapathy
    January 2, 2021

    Awesome explanation!

  • Shiva Ganapathy
    January 2, 2021

    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

  • Shiva Ganapathy
    January 2, 2021

    bol toh lo pls

  • Shiva Ganapathy
    January 2, 2021

    Thank you! Your video did help me.

  • Shiva Ganapathy
    January 2, 2021

    Could barely hear you, so I put headphones in and turned it all the way up. The next video I watched blew my ears off!

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