Replacing values in a Pandas data frame

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Want to replace values in a Pandas data frame? Use the "replace" method. But did you know that "replace" can be invoked in a number of different ways, allowing you to specify multiple values — and even replace different values in different columns? In this video, I show you how to achieve just that, using a variety of different methods.

  1. Python and Pandas with Reuven Lerner
  2. python
  3. python3
  4. python standard library
  5. learn python
  6. pandas replace
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Комментарии
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I didn't know the inplace=True is going to be replaced. Thanks for the heads up!

stronglycorrelated
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Great tutorial.... short and to the point 👉 . Thank you.

curtisjackson
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Awesome and clear like always! Thanks!

moose
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Thanks for the video. Does this work for columns that contain strings? I'm trying to change the name of some cells for instance I have a column called 'Unit' which contains 'offense' in the first cell and then 'defense' in the cell below with numbers corresponding to both of those metrics in the column adjacent. I would like to change 'offense' to 'points_for' and 'defense' to 'points_against' however using the df.replace method does not seem to be working.

tomkmb