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Write a program in Python to resample a given time series data and find the maximum month-end frequency
Assume, you have time series and the result for maximum month-end frequency,
DataFrame is: Id time_series 0 1 2020-01-05 1 2 2020-01-12 2 3 2020-01-19 3 4 2020-01-26 4 5 2020-02-02 5 6 2020-02-09 6 7 2020-02-16 7 8 2020-02-23 8 9 2020-03-01 9 10 2020-03-08 Maximum month end frequency: Id time_series time_series 2020-01-31 4 2020-01-26 2020-02-29 8 2020-02-23 2020-03-31 10 2020-03-08
Solution
To solve this, we will follow the steps given below −
Define a dataframe with one column,
d = {'Id': [1,2,3,4,5,6,7,8,9,10]} df = pd.DataFrame(d)
Create date_range function inside start=’01/01/2020’, periods = 10 and assign freq = ‘W’. It will generate ten dates from given start date to next weekly start dates and store it as df[‘time_series’].
df['time_series'] = pd.date_range('01/01/2020', periods=10, freq='W')
Apply resample method to find the maximum month end frequency,
df.resample('M', on='time_series').max())
Example
Let’s see the below implementation to get a better understanding −
import pandas as pd d = {'Id': [1,2,3,4,5,6,7,8,9,10]} df = pd.DataFrame(d) df['time_series'] = pd.date_range('01/01/2020', periods=10, freq='W') print("DataFrame is:\n",df) print("Maximum month end frequency: ") print(df.resample('M', on='time_series').max())
Output
DataFrame is: Id time_series 0 1 2020-01-05 1 2 2020-01-12 2 3 2020-01-19 3 4 2020-01-26 4 5 2020-02-02 5 6 2020-02-09 6 7 2020-02-16 7 8 2020-02-23 8 9 2020-03-01 9 10 2020-03-08 Maximum month end frequency: Id time_series time_series 2020-01-31 4 2020-01-26 2020-02-29 8 2020-02-23 2020-03-31 10 2020-03-08
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