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Python Pandas Tutorial: Viewing Data, Sorting, Transposing, Summary Statistics, Columns, and Indices

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Feb 23, 2017
11:18

***PANDAS FUNCTIONALITIES INDEXED BY TIME IN EXPANDED DESCRIPTION VIEW*** In this tutorial, we cover some basic Pandas functionalities, including .head(), .tail(), .values, .columns, .index, .describe, .T, .sort_index(), and .sort_values(). So much of learning about Pandas is learning to debug intelligently, which we discuss in brief at the end of the video. 0:57 df.head() 2:00 df.tail() 2:25 df.values() 3:58 df.columns 4:27 df.index 4:54 df.describe() (for summary statistics) 6:49 df.T (transpose--make sure it's an uppercase T) 7:25 df.sort_index() 9:10 df.sort_values() 10:19 General debugging discussion (somewhat apocryphal) Thank you for watching! I encourage anyone to leave feedback, questions, or constructive criticism in the comments. If you are interested in learning more about Python, you can view lessons in the format of an iPython Notebook: https://github.com/robertgrote/Python-Lessons ►Channel: https://www.youtube.com/channel/UCCX8LYbO8WgS-kisv55CKPg ►Subscribe: https://www.youtube.com/channel/UCCX8LYbO8WgS-kisv55CKPg?sub_confirmation=1 ►Portfolio: https://robertgrote.github.io/ ►Twitter: https://twitter.com/robertdgrote

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Python Pandas Tutorial: Viewing Data, Sorting, Transposing, Summary Statistics, Columns, and Indices | NatokHD