如何在Python中将字符串转换为数据框(DataFrame)

Question

我使用urlopen获取数据字符串如下。我想将该字符串转换为数据框并保留几列，如state、AQI等。我不知道怎么做，希望向您寻求建议。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",""

- Yipin

Answer 1

好像你可以使用：

from pandas.compat import StringIO
df = pd.read_csv(StringIO(response))

但也可能有效：

df = read_csv(URL)

- jezrael

Answer 2

使用 read_fwf 函数和 to_csv() 方法，然后再使用 read_csv() 方法。

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',)

- ammy