Pandas: Get Dummies











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I have the following dataframe:



   amount  catcode    cid      cycle      date     di  feccandid    type
0 1000 E1600 N00029285 2014 2014-05-15 D H8TX22107 24K
1 5000 G4600 N00026722 2014 2013-10-22 D H4TX28046 24K
2 4 C2100 N00030676 2014 2014-03-26 D H0MO07113 24Z


I want to make dummy variables for the values in column type. There about 15. I have tried this:



pd.get_dummies(df['type'])



And it returns this:



           24A  24C  24E  24F  24K  24N  24P  24R  24Z
date
2014-05-15 0 0 0 0 1 0 0 0 0
2013-10-22 0 0 0 0 1 0 0 0 0
2014-03-26 0 0 0 0 0 0 0 0 1


What I would like is to have a dummy variable column for each unique value in Type










share|improve this question




















  • 1




    don't you mean pd.get_dummies(df['type'])?
    – EdChum
    Mar 29 '16 at 13:08










  • Yes! thank you. Now is there a way to add it do my df or should I just do a join?
    – Michael Perdue
    Mar 29 '16 at 13:10






  • 1




    What do you expect the final df to actually look like though?
    – EdChum
    Mar 29 '16 at 13:11












  • The new fd should include the dummy columns in the new df
    – Michael Perdue
    Mar 29 '16 at 13:12






  • 2




    So you can just join then: df.join(pd.get_dummies(df['type']))
    – EdChum
    Mar 29 '16 at 13:13

















up vote
11
down vote

favorite
2












I have the following dataframe:



   amount  catcode    cid      cycle      date     di  feccandid    type
0 1000 E1600 N00029285 2014 2014-05-15 D H8TX22107 24K
1 5000 G4600 N00026722 2014 2013-10-22 D H4TX28046 24K
2 4 C2100 N00030676 2014 2014-03-26 D H0MO07113 24Z


I want to make dummy variables for the values in column type. There about 15. I have tried this:



pd.get_dummies(df['type'])



And it returns this:



           24A  24C  24E  24F  24K  24N  24P  24R  24Z
date
2014-05-15 0 0 0 0 1 0 0 0 0
2013-10-22 0 0 0 0 1 0 0 0 0
2014-03-26 0 0 0 0 0 0 0 0 1


What I would like is to have a dummy variable column for each unique value in Type










share|improve this question




















  • 1




    don't you mean pd.get_dummies(df['type'])?
    – EdChum
    Mar 29 '16 at 13:08










  • Yes! thank you. Now is there a way to add it do my df or should I just do a join?
    – Michael Perdue
    Mar 29 '16 at 13:10






  • 1




    What do you expect the final df to actually look like though?
    – EdChum
    Mar 29 '16 at 13:11












  • The new fd should include the dummy columns in the new df
    – Michael Perdue
    Mar 29 '16 at 13:12






  • 2




    So you can just join then: df.join(pd.get_dummies(df['type']))
    – EdChum
    Mar 29 '16 at 13:13















up vote
11
down vote

favorite
2









up vote
11
down vote

favorite
2






2





I have the following dataframe:



   amount  catcode    cid      cycle      date     di  feccandid    type
0 1000 E1600 N00029285 2014 2014-05-15 D H8TX22107 24K
1 5000 G4600 N00026722 2014 2013-10-22 D H4TX28046 24K
2 4 C2100 N00030676 2014 2014-03-26 D H0MO07113 24Z


I want to make dummy variables for the values in column type. There about 15. I have tried this:



pd.get_dummies(df['type'])



And it returns this:



           24A  24C  24E  24F  24K  24N  24P  24R  24Z
date
2014-05-15 0 0 0 0 1 0 0 0 0
2013-10-22 0 0 0 0 1 0 0 0 0
2014-03-26 0 0 0 0 0 0 0 0 1


What I would like is to have a dummy variable column for each unique value in Type










share|improve this question















I have the following dataframe:



   amount  catcode    cid      cycle      date     di  feccandid    type
0 1000 E1600 N00029285 2014 2014-05-15 D H8TX22107 24K
1 5000 G4600 N00026722 2014 2013-10-22 D H4TX28046 24K
2 4 C2100 N00030676 2014 2014-03-26 D H0MO07113 24Z


I want to make dummy variables for the values in column type. There about 15. I have tried this:



pd.get_dummies(df['type'])



And it returns this:



           24A  24C  24E  24F  24K  24N  24P  24R  24Z
date
2014-05-15 0 0 0 0 1 0 0 0 0
2013-10-22 0 0 0 0 1 0 0 0 0
2014-03-26 0 0 0 0 0 0 0 0 1


What I would like is to have a dummy variable column for each unique value in Type







python pandas dummy-variable






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 2 at 22:24









SherylHohman

4,26963245




4,26963245










asked Mar 29 '16 at 13:05









Michael Perdue

1,29151834




1,29151834








  • 1




    don't you mean pd.get_dummies(df['type'])?
    – EdChum
    Mar 29 '16 at 13:08










  • Yes! thank you. Now is there a way to add it do my df or should I just do a join?
    – Michael Perdue
    Mar 29 '16 at 13:10






  • 1




    What do you expect the final df to actually look like though?
    – EdChum
    Mar 29 '16 at 13:11












  • The new fd should include the dummy columns in the new df
    – Michael Perdue
    Mar 29 '16 at 13:12






  • 2




    So you can just join then: df.join(pd.get_dummies(df['type']))
    – EdChum
    Mar 29 '16 at 13:13
















  • 1




    don't you mean pd.get_dummies(df['type'])?
    – EdChum
    Mar 29 '16 at 13:08










  • Yes! thank you. Now is there a way to add it do my df or should I just do a join?
    – Michael Perdue
    Mar 29 '16 at 13:10






  • 1




    What do you expect the final df to actually look like though?
    – EdChum
    Mar 29 '16 at 13:11












  • The new fd should include the dummy columns in the new df
    – Michael Perdue
    Mar 29 '16 at 13:12






  • 2




    So you can just join then: df.join(pd.get_dummies(df['type']))
    – EdChum
    Mar 29 '16 at 13:13










1




1




don't you mean pd.get_dummies(df['type'])?
– EdChum
Mar 29 '16 at 13:08




don't you mean pd.get_dummies(df['type'])?
– EdChum
Mar 29 '16 at 13:08












Yes! thank you. Now is there a way to add it do my df or should I just do a join?
– Michael Perdue
Mar 29 '16 at 13:10




Yes! thank you. Now is there a way to add it do my df or should I just do a join?
– Michael Perdue
Mar 29 '16 at 13:10




1




1




What do you expect the final df to actually look like though?
– EdChum
Mar 29 '16 at 13:11






What do you expect the final df to actually look like though?
– EdChum
Mar 29 '16 at 13:11














The new fd should include the dummy columns in the new df
– Michael Perdue
Mar 29 '16 at 13:12




The new fd should include the dummy columns in the new df
– Michael Perdue
Mar 29 '16 at 13:12




2




2




So you can just join then: df.join(pd.get_dummies(df['type']))
– EdChum
Mar 29 '16 at 13:13






So you can just join then: df.join(pd.get_dummies(df['type']))
– EdChum
Mar 29 '16 at 13:13














1 Answer
1






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up vote
33
down vote



accepted










You can try :



df = pd.get_dummies(df, columns=['type'])





share|improve this answer

















  • 1




    This works! Thanks!
    – Michael Perdue
    Mar 29 '16 at 13:20











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
33
down vote



accepted










You can try :



df = pd.get_dummies(df, columns=['type'])





share|improve this answer

















  • 1




    This works! Thanks!
    – Michael Perdue
    Mar 29 '16 at 13:20















up vote
33
down vote



accepted










You can try :



df = pd.get_dummies(df, columns=['type'])





share|improve this answer

















  • 1




    This works! Thanks!
    – Michael Perdue
    Mar 29 '16 at 13:20













up vote
33
down vote



accepted







up vote
33
down vote



accepted






You can try :



df = pd.get_dummies(df, columns=['type'])





share|improve this answer












You can try :



df = pd.get_dummies(df, columns=['type'])






share|improve this answer












share|improve this answer



share|improve this answer










answered Mar 29 '16 at 13:18









Till

1,509614




1,509614








  • 1




    This works! Thanks!
    – Michael Perdue
    Mar 29 '16 at 13:20














  • 1




    This works! Thanks!
    – Michael Perdue
    Mar 29 '16 at 13:20








1




1




This works! Thanks!
– Michael Perdue
Mar 29 '16 at 13:20




This works! Thanks!
– Michael Perdue
Mar 29 '16 at 13:20


















 

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