Python Pandas: Select, SLICE & FILTER Data rows & columns by Index or Conditionals


This Python Pandas tutorial video teaches you how to select, slice and filter data in a DataFrame, by both rows and columns, using the index or conditionals such as Lambda functions. It explains head, tail, loc, iloc, and query functions, and covers numerical, string, and time series indexed data.
1:06 head, tail
2:52 selecting rows with loc
5:34 selecting columns
8:19 filtering with loc
10:16 lambda filter
11:25 iloc
16:00 df.query
20:19 Time Series

► Numpy Intro:
► Numpy Intro Jupyter nb:
► Pandas Intro:
► Pandas Import Data:
► Pandas Selecting & Filtering:
► Pandas Time Series:
► Pandas and MatPlotLib:
► Matplotlib Intro:

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Comment List

  • Joe James
    December 13, 2020

    I usually don't leave comments, but I really love the way you explain this panda series! (especially when digging into python assignment ;P
    Thank you Joe

  • Joe James
    December 13, 2020

    hey Joe James, thank u so much for this pandas series. One of the best on Youtube. However, I tried filtering the time series the way u did in the video but got no output then used df.loc and got same output as u! why? I am using Pycharm if that makes a difference.

  • Joe James
    December 13, 2020

    Beautifully explained! Thank you Joe.

  • Joe James
    December 13, 2020

    thanks for your explanations and sharing your knowledge 🙂

  • Joe James
    December 13, 2020

    Joe you can explain coding concepts than anyone I have seen. It's so much leaner and clearer. than others, no waffle. Can you do videos on 'Groupby' and 'Merge' two confusing, but essential and powerful methods in Pandas? Thank you!

  • Joe James
    December 13, 2020

    I love your videos. You are really excellent at explaining things and I've been learning so much by watching them. Thank you for doing these.

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