I am trying to read the following link with Pandas:
http://api.eia.gov/series/?api_key=3d82a096b5e846caa05ddc8e747a7fd&series_id=PET.WGIRIUS2.W
I've tried use pd.read_json()
, which returned an error, ValueError: Mixing dicts with non-Series may lead to ambiguous ordering.
I tried using pd.read_csv
which returns a DataFrame without any rows, and all of the columns are in a list.
This is the first part of my code:
import pandas as pd
eia_key='<private>'
def link_category(id_number):
return 'http://api.eia.gov/category/?api_key='+eia_key+'&category_id='+id_number
def link_series(id_number):
return 'http://api.eia.gov/series/?api_key='+eia_key+'&series_id='+id_number
'''U.S. Gross Inputs into Refineries, Weekly'''
page=link_series('PET.WGIRIUS2.W')
Then I try:
df=pd.read_csv(page)
and I get a mess with all of the table values as column names... but if I try
df=pd.read_json(page)
and I get the error mentioned above...
Any suggestions on the best way to read these EIA datasets with Python? I am open to using another library, like BS4 if that would be better.
Thank you in advance!!!!
I believe you just want the data
field out of the response.
import json, requests
d = json.loads(requests.get(page).text)
df = pd.DataFrame(d['series'][0]['data'])
df
will get you the data you want I believe.
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