December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How it works...
The col = df['item'] line of code selects the column index from the DataFrame and returns in the col variable a Series object containing the specified column. Analogously, the cols = df[['item', 'inventory']] line selects two columns. Notice that, in this case, the object returned is a DataFrame.
In the next example, we use rows = df[2:4] to select a range of rows from the DataFrame. Notice that this uses the standard convention for ranges in Python and rows two and three are returned.
The next two examples show the use of the loc indexing method.
With the row_data = df.loc[201024] line we select one row of data. The returned object is a Series, where the indexes are the column names of the DataFrame.
Then, the df1 = df.loc[201024:,['item','unit_price']] ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.