I would like to access the Date/index column of a pandas pivot table, then use the date as matplotlib axis to plot stock data in an object oriented manner, I am trying figure out how I might get the date into its own object? Thank You
import pandas as pd
import yfinance as yf
amazon = yf.download('amzn','2000-01-01','2019-09-26')
amazon.head()
Open High Low Close Adj Close Volume
Date
2000-01-03 81.50 89.56 79.05 89.38 89.38 16117600
2000-01-04 85.38 91.50 81.75 81.94 81.94 17487400
2000-01-05 70.50 75.12 68.00 69.75 69.75 38457400
2000-01-06 71.31 72.69 64.00 65.56 65.56 18752000
2000-01-07 67.00 70.50 66.19 69.56 69.56 10505400
You can use amazon.index
:
print (amazon.index)
DatetimeIndex(['1999-12-31', '2000-01-03', '2000-01-04', '2000-01-05',
'2000-01-06', '2000-01-07', '2000-01-10', '2000-01-11',
'2000-01-12', '2000-01-13',
...
'2019-09-12', '2019-09-13', '2019-09-16', '2019-09-17',
'2019-09-18', '2019-09-19', '2019-09-20', '2019-09-23',
'2019-09-24', '2019-09-25'],
dtype='datetime64[ns]', name='Date', length=4965, freq=None)
But if plot in pandas, e.g. by Series.plot
not necessary:
amazon['Open'].plot()
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