Python Pandas Tutorial #2 - Understanding Pandas Series

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Series is a crucial pandas data structure that you need to master in order to get information of your dataFrame. We will cover from the very basic to more advanced concepts in 15 minutes. We will go through different ways to create a series, how to access and set values, how to slice using index and label index, how to perform math operations and advanced selection using boolean filter.

0:00 - Intro
0:09 - Pandas data structures
0:25 - What is a pandas Series
1:23 - How to create series
4:11 - How to access and set elements to a pandas Series
6:26 - How to slice to a pandas Series
8:34 - Boolean filter selection
12:02 - Arithmetic operations on Series
14:20 - Notebooks on Github

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  1. Fall in Python
  2. pandas series
  3. pandas series in python
  4. pandas series vs dataframe
  5. pandas series and dataframe
  6. pandas library
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Комментарии
Автор

Do you think a small presentation in the beginning of the videos a good idea to explain important concepts that will be covered?

FallinPython
Автор

Really good explanation! I have a question about series with different index that you talked in the end of the video. When we are summing up Series_1 and Series_2 we got NaN results. But what if I would like to get as a result 40 (Index 3) and 50 (index 4) assuming that the missing values in Series_2 are "zero", which would be: 40 + 0 or 50 + 0. Is there a way to avoid the NaN in this case? Thank you for the great work. Looking foward for the next videos.

guilhermejoaquim