The six most important read_csv arguments in Pandas

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Do you work with CSV files? Of course you do! It's by far the most common format. And the read_csv function supports dozens of arguments -- so many that it's often hard to know where to start reading the documentation.

  1. Python and Pandas with Reuven Lerner
  2. python
  3. python3
  4. python standard library
  5. learn python
  6. read_csv without header
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gdvissch
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munivoltarc
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Fantastic Demo, To the point with good simple examples

Scooterboy_and_others
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How can we a csv file if we have an uneven number of columns? Let's say the header row has Name, Phone number, and Address separated by comma, but only some of the data in the Address column has more commas(ex: St.Vincent road, Dallas, TX) something like this. How should I read the file

John-pbgb
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TheCosmique
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The.WorldVentures