Converting date formats - explicit

Let's have a look at those dates from the previous exercise.

Sale A: 4000 on 14/02/2018
Sale B: 3000 on 2 March 2018

We used the datetime library to identify the day d, month m, and year y for each date, which could help us to identify data from datasets with different date formats.

However, what about a scenario where we want to convert date formats into a specific format?

In this exercise you will convert Sale A from 14/02/2018 to the same date format as Sale B, to read: 14 February 2018 instead.

We can do this easily with built-in Python functions. Remember, to split a string we can use the .split()method.

The input for this exercise will be the datetime of Sale A.

Specify the date-time in a variable dt that you wish to convert to a new format.
Create a dictionary for the months mm, which will specify which month corresponds to which number, in the format {'number':'month name'}.
Split the dt string by a specific character / and assign values to the day, month and year variables.
Print the results by concatenating a string using the dictionary for the given month into the new format.

Take Hint (-30 XP)

Exercise

Converting date formats - explicit

Instructions