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Greene in the Prentice-Hall. Mastery Audiobook.. Robert Greene. PDF. 352 pages. April 8, 2006.
Greene in the Prentice-Hall. Mastery Audiobook.. Robert Greene. PDF. 352 pages. April 8, 2006.Q:

Add a third column to pandas data frame based on some conditions

I have a dataframe as shown below:
df = pd.DataFrame({‘match’:[‘Hl’, ‘Ft’, ‘Hl’, ‘Ft’, ‘Ft’, ‘Ft’,’Hl’,’Ft’],
‘league’:[‘SL’, ‘SL’, ‘SL’, ‘SL’, ‘SL’, ‘SL’,’Ft’,’Ft’],
‘date_of_match’:[’11/07/2019′, ’12/07/2019′, ’11/07/2019′,
’12/07/2019′, ’13/07/2019′, ’13/07/2019′,’13/07/2019′,
’13/07/2019′, ’13/07/2019′],
‘result’:[‘HWL’, ‘HWL’, ‘WL’, ‘WL’, ‘WL’, ‘WL’,
‘HWL’, ‘HWL’],
‘points’:[9,3,1,4,3,2,2,3]})

And my goal is to create a third column which will summarize the “result” column based on the following conditions

if the 3rd column is equals to “HWL” then the 3rd column should become
“HWL+3”
if the 3rd column is equals to “WL” then the 3rd column should become
“W

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