python: read json with pandas

Question

I want to get the timestamp,high,low,open, close for the the json link below but I get only error c harterror Noneresult [{u'indicators': {u'quote': [{u'high': [45.25,...

My code is below:

df = pd.read_json('https://query1.finance.yahoo.com/v7/finance/chart/CPN.BK?range=2y&interval=1d&indicators=quote&includeTimestamps=true')
output = df[['timestamp','open','high,'low','close']]

Please guide how to get the data into dataframe

Answer 1

If you use pandas to read_json from your url, it will save all json data into one cell (column chart , row result ).

Based on your code, you have to extract the dictionary data for 'timestamp','open','high,'low' and 'close' , after that you can pass them to pandas DataFrame :

import pandas as pd
df = pd.read_json('https://query1.finance.yahoo.com/v7/finance/chart/CPN.BK?range=2y&interval=1d&indicators=quote&includeTimestamps=true')
data = df['chart']['result'][0]
result = {'timestamp':data['timestamp'],
          'open':data['indicators']['quote'][0]['open'],
          'high':data['indicators']['quote'][0]['high'],
          'low':data['indicators']['quote'][0]['low'],
          'close':data['indicators']['quote'][0]['close']
         }
df1 = pd.DataFrame(result, columns==['timestamp','open','high','low','close'])
df1

df1 will be:

    timestamp    open   high    low     close   
0   1442977200   44.50  45.25   44.25   45.00       
1   1443063600   44.75  45.75   44.50   45.00   
2   1443150000   44.75  45.00   44.25   44.50   
3   1443409200   44.25  44.25   43.00   43.00   
4   1443495600   42.50  44.50   42.25   44.00   
5   1443582000   44.25  44.75   43.50   44.75   
6   1443668400   44.50  45.00   44.25   45.00   
7   1443754800   45.00  45.00   44.00   44.25   
8   1444014000   44.25  44.75   43.75   44.50   
...

Alternatively, you can load the json from the url (refer to this answer ), then extract the dictionary data ( 'timestamp','open','high,'low' and 'close' ), pass it to pandas to generate the result dataframe.