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

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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
20:19 Time Series

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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

liaojuoyu

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.

leica

you really explained well! I like it simple, clear, concise and easy to follow.

alabtv

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!

zeppelinqaz

You helped me too man! Thank you very much!

MrRezashokouhi

this video is very helpful, thank you

diazjubairy

Your video are so ossum... I am from India and watching thiS

ishikaishu

thanks for your explanations and sharing your knowledge :-)

maxbart

it is so beneficial, well explained, thank you

fatihakkentli

Hi, Thank you for the very clear video. Question: how do I select the rows and columns from one label to another label?

tinabeigi

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.

gur

Is there a Jupyter Notebook of this? I couldn't find one with this name on your Github

leica

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