Pandas: Create a time series using three months frequency
Pandas Time Series: Exercise-10 with Solution
Write a Pandas program to create a time series using three months frequency.
Sample Solution:
Python Code :
import pandas as pd
time_series = pd.date_range('1/1/2021', periods = 36, freq='3M')
print("Time series using three months frequency:")
print(time_series)
Sample Output:
Time series using three months frequency: DatetimeIndex(['2021-01-31', '2021-04-30', '2021-07-31', '2021-10-31', '2022-01-31', '2022-04-30', '2022-07-31', '2022-10-31', '2023-01-31', '2023-04-30', '2023-07-31', '2023-10-31', '2024-01-31', '2024-04-30', '2024-07-31', '2024-10-31', '2025-01-31', '2025-04-30', '2025-07-31', '2025-10-31', '2026-01-31', '2026-04-30', '2026-07-31', '2026-10-31', '2027-01-31', '2027-04-30', '2027-07-31', '2027-10-31', '2028-01-31', '2028-04-30', '2028-07-31', '2028-10-31', '2029-01-31', '2029-04-30', '2029-07-31', '2029-10-31'], dtype='datetime64[ns]', freq='3M')
Python Code Editor:
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Previous: Write a Pandas program to create a whole month of dates in daily frequencies. Also find the maximum, minimum timestamp and indexs.
Next: Write a Pandas program to create a sequence of durations increasing by an hour.
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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__))
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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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