6 ms·
As a long time pandas user, I'd say this is one of the better write-ups I've seen that illustrates the versatility and functions of the Series and DataFrame obj
by zissou 13y ago
As a long time pandas user, I'd say this is one of the better write-ups I've seen that illustrates the versatility and functions of the Series and DataFrame objects without being too long winded.
Just one thing to point out regarding the final example: read_csv will actually fetch a URL if it's given as input, so there is no need to use urllib2 and StringIO. Instead, you can just do:
from_url = pd.read_csv('http://www.example.com/data.tsv' http://www.example.com/data.tsv', sep='\t')
- gjreda 13y agoThanks! My concern was that it actually _was_ too long winded, so I'm glad to hear otherwise. Thanks for pointing this out too - had no idea it'd handle a URL.