What happened to python's ~ when working with boolean?
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Chapters
00:00 What Happened To Python'S ~ When Working With Boolean?
01:00 Accepted Answer Score 16
01:45 Thank you
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Full question
https://stackoverflow.com/questions/5607...
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https://meta.stackexchange.com/help/lice...
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Tags
#python #pandas #boolean
#avk47
    Hire the world's top talent on demand or became one of them at Toptal: https://topt.al/25cXVn
and get $2,000 discount on your first invoice
--------------------------------------------------
Music by Eric Matyas
https://www.soundimage.org
Track title: Mysterious Puzzle
--
Chapters
00:00 What Happened To Python'S ~ When Working With Boolean?
01:00 Accepted Answer Score 16
01:45 Thank you
--
Full question
https://stackoverflow.com/questions/5607...
--
Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
--
Tags
#python #pandas #boolean
#avk47
ACCEPTED ANSWER
Score 16
Ah , since you created the c by using DataFrame constructor , then T,
1st let us look at what we have before T:
pd.DataFrame([a, b])
Out[610]: 
      0     1     2     3     4      5      6      7      8      9
0     a     a     a     a     b      a      b      b      b      b
1  True  True  True  True  True  False  False  False  False  False
So pandas will make each columns only have one dtype, if not it will convert to object . 
After T what data type we have for each columns 
The dtypes in your c :
c.dtypes
Out[608]: 
Classification    object
Boolean           object
Boolean columns became object type , that is why you get unexpected output for ~c.Boolean
How to fix it ? ---concat 
c=pd.concat([a,b],1)
c.columns = ['Classification', 'Boolean']
~c.Boolean
Out[616]: 
0    False
1    False
2    False
3    False
4    False
5     True
6     True
7     True
8     True
9     True
Name: Boolean, dtype: bool