How to make a year range column into separate columns?

Question

I am using Python to analyze a data set that has a column with a year range (see below for example):

Name	Years Range
Andy	1985 – 1987
Bruce	2011 – 2018

I am trying to convert the "Years Range" column that has a string of start and end years into two separate columns within the data frame to: "Year Start" and "Year End".

Name	Years Range	Year Start	Year End
Andy	1985 – 1987	1985	1987
Bruce	2011 – 2018	2011	2018

Asked By: Rob

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Source

Answer 1

You can use expand=True within split function

df[['Year Start','Year End']]  = df['Years Range'].str.split('-',expand=True)

output #

    Nmae Years_Range Year Start Year End
0   NAdy   1995-1987       1995     1987
1  bruce   1890-8775       1890     8775

Answered By: Bhargav

Answer 2

I think str.extract can do the job.

Here is an example :

df = pd.DataFrame([ "1985 - 1987"], columns = [ "Years Range"])

df['Year Start'] = df['Years Range'].str.extract('(d{4})')
df['Year End'] = df['Years Range'].str.extract('- (d{4})')

Answered By: koding_buse

Answer 3

df['start']=''#create a blank column name 'start'
df['end']=''#create a blank column name 'end'
#loop over the data frame
for i in range(len(df)):
  df['start'][i]=df['Year'][i].split('-')[0]#split each data and store first element
  df['end'][i]=df['Year'][i].split('-')[1]#split each data and store second element

https://colab.research.google.com/drive/1Kemzk-aSUKRfE_eSrsQ7jS6e0NwhbXWp#scrollTo=esXNvRpnSN9I&line=1&uniqifier=1

Answered By: mildgrey

How to make a year range column into separate columns?

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