pandas_datareader

Note

Most of the components are expecting serializable objects so this is way we are using list of dictionary as a common

input source for components.

If you are using pandas_datareader in your script you can easily convert it to a valid input data by doing the below for example:

start = pd.to_datetime('2020-02-04')
end = pd.to_datetime('today')

tesla_df = data.DataReader('TSLA', 'yahoo', start, end)

columns = ['Close', 'Open', 'Volume']
records = []
for rec in tesla_df[columns].to_records():
  records.append(dict(zip(['Date'] + columns, rec)))
  records[-1]['Date'] = pd.to_datetime(records[-1]['Date']).strftime('%Y-%m-%d')

This will create a records object using the method to_records()