如何在Python中将字符串转换为数据框[重复]
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【中文标题】如何在Python中将字符串转换为数据框[重复]【英文标题】：How to convert a string to a dataframe in Python [duplicate] 【发布时间】：2018-01-02 21:17:15 【问题描述】：我使用urlopen获取一串数据如下。我想把这个字符串转换成一个数据框，并保留几列，比如state，AQI等。我不知道该怎么做，想请教您。谢谢！
response=urlopen(URL).read().decode('utf-8')
print(response)
"DateIssue","DateForecast","ReportingArea","StateCode","Latitude","Longitude","ParameterName","AQI","CategoryNumber","CategoryName","ActionDay","Discussion"
"2017-05-01 ","2017-05-01 ","Metropolitan Washington","DC","38.919","-77.013","O3","42","1","Good","false",""
"2017-05-01 ","2017-05-01 ","Metropolitan Washington","DC","38.919","-77.013","PM2.5","46","1","Good","false",""
"2017-05-01 ","2017-05-02 ","Metropolitan Washington","DC","38.919","-77.013","O3","44","1","Good","false",""
"2017-05-01 ","2017-05-02 ","Metropolitan Washington","DC","38.919","-77.013","PM2.5","25","1","Good","false",""
"2017-05-01 ","2017-05-03 ","Metropolitan Washington","DC","38.919","-77.013","O3","44","1","Good","false",""
"2017-05-01 ","2017-05-03 ","Metropolitan Washington","DC","38.919","-77.013","PM2.5","25","1","Good","false",""
"2017-05-01 ","2017-05-04 ","Metropolitan Washington","DC","38.919","-77.013","O3","42","1","Good","false",""
"2017-05-01 ","2017-05-04 ","Metropolitan Washington","DC","38.919","-77.013","PM2.5","29","1","Good","false",""
【问题讨论】：
【参考方案1】：使用read_fwf 和to_csv() 然后read_csv()
import io
import pandas as pd
df = pd.read_fwf(io.StringIO(response))
df.to_csv('data.csv')
result_df = pd.read_csv('data.csv',)
【讨论】：
谢谢你拯救了我的一天【参考方案2】：看来你可以使用：
from pandas.compat import StringIO
df = pd.read_csv(StringIO(response))
但也许也可以：
df = read_csv(URL)
【讨论】：
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