To return the count of increments applied on the given DateOffset object, use the offset.n property in Pandas. At first, import the required libraries −
from pandas.tseries.frequencies import to_offset import pandas as pd
Set the timestamp object in Pandas −
timestamp = pd.Timestamp('2021-09-26 03:25:02.000045')
Create the DateOffset. We are incrementing the months here using the "M" frequency −
offset = to_offset("5M")Display the Updated Timestamp −
print("\nUpdated Timestamp...\n",timestamp + offset)
Return the count of increments on the given DateOffset object −
print("\nThe count of increments on the DateOffset object..\n", offset.n)Example
Following is the code −
from pandas.tseries.frequencies import to_offset
import pandas as pd
# Set the timestamp object in Pandas
timestamp = pd.Timestamp('2021-09-26 03:25:02.000045')
# Display the Timestamp
print("Timestamp...\n",timestamp)
# Create the DateOffset
# We are incrementing the months here using the "M" frequency
offset = to_offset("5M")
# Display the DateOffset
print("\nDateOffset...\n",offset)
# Display the Updated Timestamp
print("\nUpdated Timestamp...\n",timestamp + offset)
# return the count of increments on the given DateOffset object
print("\nThe count of increments on the DateOffset object..\n", offset.n)Output
This will produce the following code −
Timestamp... 2021-09-26 03:25:02.000045 DateOffset... <5 * MonthEnds> Updated Timestamp... 2022-01-31 03:25:02.000045 The count of increments on the DateOffset object.. 5