Setting freq of pandas DatetimeIndex after DataFrame creation

Question

Im using pandas datareader to get stock data.

import pandas as pd
import pandas_datareader.data as web
ABB = web.DataReader(name=\'ABB.ST\', 
                           


        

Answer 1

If need change frequency of index resample is for you, but then need aggregate columns by some functions like mean or sum:

print (ABB.resample('d').mean())
print (ABB.resample('d').sum())

If need select another row use iloc with get_loc for find position of value in DatetimeIndex:

print (ABB.iloc[ABB.index.get_loc('2001-05-09') + 1])
Open            188.00
High            192.00
Low             187.00
Close           191.00
Volume       764200.00
Adj Close       184.31
Name: 2001-05-10 00:00:00, dtype: float64

Answer 2

ABB is pandas DataFrame, whose index type is DatetimeIndex.

DatetimeIndex has freq attribute which can be set as below

ABB.index.freq = 'd'

Check out the change

ABB.index

Answer 3

Try:

ABB = ABB.asfreq('d')

This should change the frequency to daily with NaN for days without data.

Also, you should rewrite your for-loop as follows:

for index, row in ABB.iterrows():
    print(ABB.loc[[index + pd.Timedelta(days = 1)]])

Thanks!