How can I map True False to 1 0 in a Pandas DataFrame

Question

I have a column in python pandas DataFrame that has boolean True False values  but for further calculations I need 1 0 representation  Is there a quick pandas numpy way to do that

User · Answer

This question specifically mentions a single column, so the currently accepted answer works. However, it doesn't generalize to multiple columns. For those interested in a general solution, use the following:

df.replace({False: 0, True: 1}, inplace=True)

This works for a DataFrame that contains columns of many different types, regardless of how many are boolean.

User · Answer

You can use a transformation for your data frame   df   pd DataFrame my data condition    transforming True False in 1 0  df   df 1

User · Answer

I had to map FAKE REAL to 0 1 but couldn t find proper answer  Please find below how to map column name  type  which has values FAKE REAL to 0 1  Note  similar can be applied to any column name and values  df loc df  type       FAKE    type     0 df loc df  type       REAL    type     1

User · Answer

A succinct way to convert a single column of boolean values to a column of integers 1 or 0   df  somecolumn     df  somecolumn   astype int

User · Answer

Use Series view for convert boolean to integers   df  somecolumn     df  somecolumn   view  i1

User · Answer

True is 1 in Python  and likewise False is 0     gt  gt  gt  True    1 True  gt  gt  gt  False    0 True   You should be able to perform any operations you want on them by just treating them as though they were numbers  as they are numbers    gt  gt  gt  issubclass bool  int  True  gt  gt  gt  True   5 5   So to answer your question  no work necessary - you already have what you are looking for     Note I use is as an English word  not the Python keyword is - True will not be the same object as any random 1

User · Answer

You also can do this directly on Frames  In  104   df   DataFrame dict A   True  B   False  index range 3    In  105   df Out 105          A      B 0  True  False 1  True  False 2  True  False  In  106   df dtypes Out 106    A    bool B    bool dtype  object  In  107   df astype int  Out 107       A  B 0  1  0 1  1  0 2  1  0  In  108   df astype int  dtypes Out 108    A    int64 B    int64 dtype  object

User · Answer

Just multiply your Dataframe by 1  int    1   data   pd DataFrame   True  False  True    False  False  True     2   print data           0      1     2      0   True  False  True      1   False False  True   3   print data 1          0  1  2      0   1  0  1      1   0  0  1

[python] How can I map True/False to 1/0 in a Pandas DataFrame?

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