python - Decoded text file to pandas data frame -


i getting tab separated data file using requests , want convert pandas data frame. however, can't seem figure out how convert decoded data file pandas data frame object. 

import requests import pandas pd  datetime import date, timedelta   def build_url(site,yesterday):     url = 'https://waterdata.usgs.gov/az/nwis/dv?cb_00060=on&format=rdb&site_no=' + gc + '&referred_module=sw&period=&begin_date=1989-01-01&end_date=' + yesterday      return url  yesterday = date.today() - timedelta(1)  yesterday=yesterday.strftime('%y-%m-%d')  url = build_url(site,yesterday) t = requests.get(url) decoded = t.content.decode('utf-8') tmp_df = pd.read_csv(decoded,sep='\t',encoding = 'utf8')

my understanding decoded text file living in memory, when pass pd.read_csv specified delimiter begins print out data frame , ends with:

usgs    09402500    2017-07-19  15200   p usgs    09402500    2017-07-20  15200   p usgs    09402500    2017-07-21  15100   p usgs    09402500    2017-07-22  15000   p usgs    09402500    2017-07-23  14100   p usgs    09402500    2017-07-24  13700   p  not exist

how can pandas convert decoded dataframe?

read_csv wants filename or buffer. can either save decoded file, or use stringio object:

import stringio     tmp_df = pd.read_csv(stringio.stringio(decoded), sep='\t')

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