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
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