How to skip rows when reading a csv file into a Pandas DataFrame

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This video explains how to skip rows when reading a 'csv' file into a Pandas DataFrame with a focus on 'skiprows' and 'skipfooter' parameters.

Correction: At time 0:57, I misspoke 'skip columns', it will be 'skip rows'

Learn more about how to load a csv file into a Pandas DataFrame:
  1. FloatingCode
  2. pandas
  3. dataframe
  4. read_csv
  5. code
  6. program
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Комментарии
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I got an answer to a problem in 2 minutes, that's gold!

SMajid--SMajid
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Awesome video. You are an awesome teacher. So simple and concise

khaneteknon
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The way you teach, it's very simple and easy for us to understand

tapatimondal
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Thanks for the clear explanation, can you please tell how to give multiple range to skip rows, for eg I want to skip row 3-6, then 30-40..so on huge data set?

nikhiltripathi
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Thanks for the simple, easy to understand explanation. The PANDAS documentation is sometimes not so straightforward.

annderby
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How to skip rows after importing CSV not while importing

ravinderreddi
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Nicely expained. I have one query while skipping first two rows then 3rd become the header for dataframe. But in case if we want 3rd as a 1st row in output then what changes we have to apply. Thanku.

adityakumar-yixl
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