#15. Pandas: Accessing data from Series/DataFrames in Python: Booleans etc - 4 | Tutorial

Published: 20 April 2020
on channel: learndataa

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The video discusses methods to access data from Series and DataFrames using booleans.

Timeline & Exercise
(Python 3.7)

00:00 - Welcome
00:06 - Outline of video
00:36 - Open Jupyter Notebook
00:48 - Data
01:23 - Add elements to a Series
02:58 - Reset index
03:32 - Append for Series
04:50 - Add columns to a DataFrame
06:58 - .at(), .iat()
09:13 - Accessing data from Series using booleans (boolean indexing)
10:50 - Boolean mask
11:13 - More than one boolean condition for Series
12:24 - How does the ‘&’ operator work?
14:55 - Using ~ (i.e. tilda) to select data from Series
16:24 - Accessing data from DataFrame using booleans
20:23 - Ending notes

learndataa exercise for this video can be found at link below:
https://github.com/learndataa/exercises

Thank you.

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