In [1]:

    

import numpy as np
import pandas as pd


    

In [5]:

    

range1 = pd.date_range('1/1/2011', periods=2, freq='H')


    

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range1


    

    
Out[6]:





DatetimeIndex(['2011-01-01 00:00:00', '2011-01-01 01:00:00'], dtype='datetime64[ns]', freq='H')

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delta_t = range1[1] - range1[0]


    

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delta_t.total_seconds()


    

    
Out[10]:





3600.0

In [19]:

    

def get_nb_seconds(iFreq):
    lRange = pd.date_range('1/1/1970', periods=2, freq=iFreq)
    delta_t = lRange[1] - lRange[0]
    return delta_t.total_seconds()


    

In [20]:

    

lSeconds = [1]
for lFreq in ["S" , "T" , "30T" , "H", "12H", "D", "W" , "M" , "2M", "Q" , "2Q"]:
    lSeconds = lSeconds + [get_nb_seconds(lFreq)]
    print("FREQ_IN_SECONDS", lFreq , lSeconds[-1] , lSeconds[-1] / lSeconds[-2])


    

    




FREQ_IN_SECONDS S 1.0 1.0
FREQ_IN_SECONDS T 60.0 60.0
FREQ_IN_SECONDS 30T 1800.0 30.0
FREQ_IN_SECONDS H 3600.0 2.0
FREQ_IN_SECONDS 12H 43200.0 12.0
FREQ_IN_SECONDS D 86400.0 2.0
FREQ_IN_SECONDS W 604800.0 7.0
FREQ_IN_SECONDS M 2419200.0 4.0
FREQ_IN_SECONDS 2M 5097600.0 2.107142857142857
FREQ_IN_SECONDS Q 7862400.0 1.5423728813559323
FREQ_IN_SECONDS 2Q 15811200.0 2.010989010989011

In [21]:

    

7*1.5


    

    
Out[21]:





10.5

In [24]:

    

delta_t


    

    
Out[24]:





Timedelta('0 days 01:00:00')

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