CODEWITHSUNDEEP
pythonpandasdate
Alexander Johansson
Alexander Johansson

Reputation: 103

Python calculate a new column based on Date column

Got a Date column with values like this : "1997-08-05T00:00:00" going from 1997 to 2017 with values for 5 working days of the week.

I want to create a new column in the dataset that calculates the quarter of the date. For example:

1997-01-01 to 1997-03-31 should become Q1
1997-04-01 to 1997-06-30 should become Q2
1997-07-01 to 1997-09-30 should become Q3
1997-10-01 to 1997-12-31 should become Q4

Not only 1997 but all the dates until 2017 should get a value on the new column called "quarter". Would be great if regardless of year, dates between 01-01 to 03-31 was given Q1, and so forth

(the dates all looks like this: 1997-08-05T00:00:00 but I dont need the part with T00:00:00)

Upvotes: 0

Views: 1184

Answers (2)

vielkind
vielkind

Reputation: 2980

As long as your Date column is in a datetime format you can use the pandas to_period function.

df['quarter'] = df['Date'].dt.to_period('Q')

which will return the quarter in a format similar to 2017Q3. You can then strip out the year by:

df['quarter'] = df['quarter'].apply(lambda x: str(x)[-2:])

which will give you a column of the Q1, Q2, Q3, Q4 values.

Upvotes: 2

Andrey Lukyanenko
Andrey Lukyanenko

Reputation: 3851

Use "quarter".

For example:

pd.to_datetime(pd.DataFrame(['1997-08-05T00:00:00'])[0]).dt.quarter
>>>3

Then just add "Q" letter in front of the number.

Upvotes: 0

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