Python Pandas: Get the day of month, year, week, week number


Python Pandas: Data Series Exercise-28 with Solution

Write a Pandas program to get the day of month, day of year, week number and day of week from a given series of date strings.

Sample Solution :

Python Code :

import pandas as pd
from dateutil.parser import parse
date_series = pd.Series(['01 Jan 2015', '10-02-2016', '20180307', '2014/05/06', '2016-04-12', '2019-04-06T11:20'])
print("Original Series:")
date_series = date_series.map(lambda x: parse(x))
print("Day of month:")
print("Day of year:")
print("Week number:")
print("Day of week:")

Sample Output:

Original Series:
0         01 Jan 2015
1          10-02-2016
2            20180307
3          2014/05/06
4          2016-04-12
5    2019-04-06T11:20
dtype: object
Day of month:
[1, 2, 7, 6, 12, 6]
Day of year:
[1, 276, 66, 126, 103, 96]
Week number:
[1, 39, 10, 19, 15, 14]
Day of week:
['Thursday', 'Sunday', 'Wednesday', 'Tuesday', 'Tuesday', 'Saturday']

Python Code Editor:

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Previous: Write a Pandas program to convert a series of date strings to a timeseries.
Next: Write a Pandas program to convert year-month string to dates adding a specified day of the month.

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Python: Tips of the Day

Python: Cache results with decorators

There is a great way to cache functions with decorators in Python. Caching will help save time and precious resources when there is an expensive function at hand.

Implementation is easy, just import lru_cache from functools library and decorate your function using @lru_cache.

from functools import lru_cache

def fibo(a):
    if a <= 1:
        return a
        return fibo(a-1) + fibo(a-2)

for i in range(20):
    print(fibo(i), end="|")

print("\n\n", fibo.cache_info())



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