Pandas: Create a series with a PeriodIndex which represents all the calendar month periods in 2029 and 2031
29. PeriodIndex with Selective Year Extraction
Write a Pandas program create a series with a PeriodIndex which represents all the calendar month periods in 2029 and 2031. Also print the values for all periods in 2030.
Note: PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods in time such as particular years, quarters, months, etc.
Sample Solution:
Python Code :
import pandas as pd
import numpy as np
pi = pd.Series(np.random.randn(36),
pd.period_range('1/1/2029',
'12/31/2031', freq='M'))
print("PeriodIndex which represents all the calendar month periods in 2029 and 2030:")
print(pi)
print("\nValues for all periods in 2030:")
print(pi['2030'])
Sample Output:
PeriodIndex which represents all the calendar month periods in 2029 and 2030: 2029-01 0.382450 2029-02 -1.077418 2029-03 0.131711 2029-04 1.044379 2029-05 -0.101383 2029-06 0.149212 2029-07 1.241014 2029-08 0.242632 2029-09 -0.252832 2029-10 -2.267629 2029-11 0.716542 2029-12 -1.397595 2030-01 0.005339 2030-02 0.454597 2030-03 1.140378 2030-04 1.024139 2030-05 1.744527 2030-06 0.827034 2030-07 -0.610342 2030-08 0.533601 2030-09 -2.200672 2030-10 -0.373814 2030-11 -1.366233 2030-12 0.173628 2031-01 0.691684 2031-02 -0.583149 2031-03 1.076706 2031-04 -3.059091 2031-05 -1.584180 2031-06 0.209410 2031-07 -0.984389 2031-08 -0.134217 2031-09 1.541736 2031-10 0.125816 2031-11 -0.066537 2031-12 -1.076096 Freq: M, dtype: float64 Values for all periods in 2030: 2030-01 0.005339 2030-02 0.454597 2030-03 1.140378 2030-04 1.024139 2030-05 1.744527 2030-06 0.827034 2030-07 -0.610342 2030-08 0.533601 2030-09 -2.200672 2030-10 -0.373814 2030-11 -1.366233 2030-12 0.173628 Freq: M, dtype: float64
For more Practice: Solve these Related Problems:
- Write a Pandas program to create a PeriodIndex for calendar months spanning multiple years and then extract periods for a specific target year.
- Write a Pandas program to generate a PeriodIndex over non-consecutive years and then filter out periods corresponding to one specified year.
- Write a Pandas program to build a series with a PeriodIndex covering several years and then isolate period values for a given year.
- Write a Pandas program to create a PeriodIndex for multiple years and then retrieve only those periods that belong to a specified year.
Python Code Editor:
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Previous: Write a Pandas program to create a period index represent all monthly boundaries of a given year. Also print start and end time for each period object in the said index.
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