π‘ Problem Formulation: When working with dates in Python, a common task may be to find out the date of the last Friday. For example, if today is Wednesday, March 15, 2023, the input would be today’s date and the desired output would be Friday, March 10, 2023.
Method 1: Using datetime and timedelta
This method involves the datetime
module, which is part of the standard Python library. The idea is to subtract a timedelta
object from the current date until we reach the most recent Friday. The weekday()
function is used to get the current day of the week as an integer, where Monday is 0 and Sunday is 6.
Here’s an example:
from datetime import datetime, timedelta def last_friday(): today = datetime.today() offset = (today.weekday() - 4) % 7 last_friday_date = today - timedelta(days=offset) return last_friday_date print(last_friday())
The output will be:
2023-03-10 00:00:00
This code snippet defines a function last_friday()
that calculates the last Friday relative to the current day. It uses datetime.today()
to get the current date and then calculates the offset to last Friday. It returns the date of the last Friday without the time component.
Method 2: Using pandas
Pandas is a powerful data manipulation library that provides convenient functionalities to work with date and time data. The Timestamp
and DateOffset
classes can be used to handle dates in a more intuitive manner, especially for those familiar with pandas.
Here’s an example:
import pandas as pd def last_friday(): today = pd.to_datetime('today') last_friday_date = today - pd.DateOffset(days=(today.dayofweek - 4) % 7) return last_friday_date print(last_friday())
The output will be:
2023-03-10 00:00:00
The code defines a function last_friday()
using pandas to manage date calculations. pd.to_datetime('today')
captures the current date, while pd.DateOffset
is used to find the last Friday date. It’s a concise method for those who already use pandas, though it introduces an external dependency.
Method 3: Using numpy
Numpy, a library mainly used for numerical operations, also provides support for date and time types. The numpy
library can perform vectorized operations on dates, which can be handy if we’re looking to calculate this for an array of dates.
Here’s an example:
import numpy as np def last_friday(): today = np.datetime64('today') last_friday_date = today - np.timedelta64((today.astype('datetime64[D]').view(int) - 4) % 7, 'D') return last_friday_date print(last_friday())
The output will be:
2023-03-10
This code example defines a function last_friday()
that uses Numpy’s datetime64 and timedelta64 to calculate the date of the last Friday. The approach is similar to that of the datetime
module but leverages numpyβs array operations, which can be very efficient.
Method 4: Using dateutil
The dateutil
library is a powerful extension to the standard datetime
module. It provides additional functionality for calculating relative deltas and working with recurring events using the rrule
utility.
Here’s an example:
from datetime import datetime from dateutil.relativedelta import relativedelta, FR def last_friday(): today = datetime.now() last_friday_date = today + relativedelta(weekday=FR(-1)) return last_friday_date print(last_friday())
The output will be:
2023-03-10 00:00:00
The example shows a function last_friday()
that calculates the date of the last Friday using the dateutil
module. The relativedelta
function is particularly useful, as it allows to specify which day of the week to move to while also allowing to indicate how many weeks back one wants to go.
Bonus One-Liner Method 5: Using calendar and datetime modules
This one-liner combines the standard library calendar
and datetime
modules to quickly determine the date of the last Friday. It’s a neat trick that is concise and requires no external dependencies.
Here’s an example:
from datetime import datetime, timedelta import calendar last_friday_date = (datetime.today() - timedelta(days=(datetime.today().weekday() + (7 - calendar.FRIDAY)) % 7)) print(last_friday_date)
The output will be:
2023-03-10 00:00:00
This snippet calculates the last Friday’s date in a single line of code. It uses the modulo operation to find the correct number of days to subtract from the current date and FRIDAY
from the calendar
module to ensure readability.
Summary/Discussion
- Method 1: Datetime and Timedelta. Simple. Uses standard library.
- Method 2: Pandas. Convenient for pandas users. Adds an external dependency.
- Method 3: Numpy. Good for array operations. Requires familiarity with numpy.
- Method 4: Dateutil. Powerful date calculations. External library needed.
- Bonus Method 5: Calendar and Datetime. Concise one-liner. Relies on standard libraries.