如何在Python中将字符串转换为数据框[重复]答案

【问题标题】：How to convert a string to a dataframe in Python [duplicate]如何在Python中将字符串转换为数据框[重复]
【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】：

标签： python

【解决方案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

【解决方案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】：