如何將字符串轉換成數據幀在Python

我使用urlopen獲取數據的字符串作爲follows.I希望將字符串轉換爲數據幀和儲備幾列，樣態，AQI等。我不知道該怎麼做，並想向你尋求建議。謝謝！如何將字符串轉換成數據幀在Python

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",""

來源

2017-07-27 Yipin

看來你可以使用：

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

但也許也適用：

df = read_csv(URL)

來源

2017-07-27 08:56:08 jezrael

使用read_fwf和to_csv()然後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',)

來源

2017-07-27 09:51:05 ammy

如何將字符串轉換成數據幀在Python

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