我需要将基于Web的数据（如下所示）导入Python。我使用了urllib2.urlopen（data available here）。但是，数据是作为字符串行导入的。如何在删除双引号DataFrame的同时将它们转换为pandas "？谢谢你的帮助。
"country","country isocode","year","POP","XRAT","tcgdp","cc","cg"
"Argentina","ARG","2000","37335.653","0.9995","295072.21869","75.716805379","5.5788042896"
"Australia","AUS","2000","19053.186","1.72483","541804.6521","67.759025993","6.7200975332"
"India","IND","2000","1006300.297","44.9416","1728144.3748","64.575551328","14.072205773"
"Israel","ISR","2000","6114.57","4.07733","129253.89423","64.436450847","10.266688415"
"Malawi","MWI","2000","11801.505","59.543808333","5026.2217836","74.707624181","11.658954494"
"South Africa","ZAF","2000","45064.098","6.93983","227242.36949","72.718710427","5.7265463933"
"United States","USA","2000","282171.957","1","9898700","72.347054303","6.0324539789"
"Uruguay","URY","2000","3219.793","12.099591667","25255.961693","78.978740282","5.108067988"
答案 0 :(得分：1)
你可以这样做：
>>> import pandas as pd
>>> df=pd.read_csv('https://raw.githubusercontent.com/QuantEcon/QuantEcon.py/master/data/test_pwt.csv')
>>> df
country country isocode year POP XRAT \
0 Argentina ARG 2000 37335.653 0.999500
1 Australia AUS 2000 19053.186 1.724830
2 India IND 2000 1006300.297 44.941600
3 Israel ISR 2000 6114.570 4.077330
4 Malawi MWI 2000 11801.505 59.543808
5 South Africa ZAF 2000 45064.098 6.939830
6 United States USA 2000 282171.957 1.000000
7 Uruguay URY 2000 3219.793 12.099592
tcgdp cc cg
0 295072.218690 75.716805 5.578804
1 541804.652100 67.759026 6.720098
2 1728144.374800 64.575551 14.072206
3 129253.894230 64.436451 10.266688
4 5026.221784 74.707624 11.658954
5 227242.369490 72.718710 5.726546
6 9898700.000000 72.347054 6.032454
7 25255.961693 78.978740 5.108068