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Pandas: Create a time series with the last working days of each month

Pandas Time Series: Exercise-15 with Solution

Write a Pandas program to get a time series with the last working days of each month of a specific year.

Sample Solution:

Python Code :

import pandas as pd
s = pd.date_range('2021-01-01', periods=12, freq='BM')
df = pd.DataFrame(s, columns=['Date'])
print('last working days of each month of a specific year:')
print(df)

Sample Output:

last working days of each month of a specific year:
         Date
0  2021-01-29
1  2021-02-26
2  2021-03-31
3  2021-04-30
4  2021-05-31
5  2021-06-30
6  2021-07-30
7  2021-08-31
8  2021-09-30
9  2021-10-29
10 2021-11-30
11 2021-12-31

Python Code Editor:


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Previous: Write a Pandas program to check if a day is a business day (weekday) or not.
Next: Write a Pandas program to create a time series combining hour and minute.

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m