example the following example shows you handling and slicing the time series data by using pandas note that here we are using the monthly arctic oscillation datawhich can be downloaded from current ascii and can be converted to text format for our use handling time series data for handling time series datayou will have to perform the following stepsthe first step involves importing the following packagesimport numpy as np import matplotlib pyplot as plt import pandas as pd nextdefine function which will read the data from the input fileas shown in the code given belowdef read_data(input_file)input_data np loadtxt(input_filedelimiter=nonenowconvert this data to time series for thiscreate the range of dates of our time series in this examplewe keep one month as frequency of data our file is having the data which starts from january dates pd date_range(' - 'periods=input_data shape[ ]freq=' 'in this stepwe create the time series data with the help of pandas seriesas shown belowoutput pd series(input_data[:index]index=datesreturn output if __name__=='__main__'enter the path of the input file as shown hereinput_file "/users/admin/ao txtnowconvert the column to timeseries formatas shown here