October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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The diff() function
The diff() function computes the difference between subsequent rows in the same column or subsequent columns in the same row. diff() can be evaluated along a row or column by setting the axis parameter, which is set to 0 by default. Therefore, computation takes place by row:
sales_df.diff()
The following is the output:
The diff() function
The diff method can be applied as shown here:
sales_df.diff(axis = 1)
The following is the output:
The diff() function applied along axis 1
The periods() parameter can be used to find the ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.