December 2018
Beginner to intermediate
682 pages
18h 1m
English
Content preview from Numerical Computing with Python
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How to do it...
- Read in the flights dataset, and find the total number of flights between each origin and destination airport:
>>> flights = pd.read_csv('data/flights.csv')>>> flights_ct = flights.groupby(['ORG_AIR', 'DEST_AIR']).size()>>> flights_ct.head()ORG_AIR DEST_AIR
ATL ABE 31
ABQ 16
ABY 19
ACY 6
AEX 40
dtype: int64
- Select the total number of flights between Houston (IAH) and Atlanta (ATL) in both directions:
>>> flights_ct.loc[[('ATL', 'IAH'), ('IAH', 'ATL')]]ORG_AIR DEST_AIR
ATL IAH 121
IAH ATL 148
dtype: int64
- We could simply sum these two numbers together to find the total flights between the cities but there is a more efficient and automated solution that can work for all flights. Let's independently sort the origin and destination ...
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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.