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2

I want to add an empty boolean column to a given pandas dataframe.
For now I have done this (df being my dataframe):

df["empty_bool_col"]=None
df["empty_bool_col"]=df["empty_bool_col"].astype(bool)

Then, my column looks like this:

0 False
1 False
2 False
3 False
Name: empty_bool_col, Length: 4, dtype: bool

This does not convey the fact that some values may be missing, and that the column is in fact, empty. Is it not possible to get an empty column of boolean type inside a pandas dataframe?

python pandas boolean

share|improve this question

asked Mar 28 at 15:13

OryszaOrysza

7666 bronze badges

• 
  
  
  

  
  7
  

  
  
  
  
  
  

  
  
  I don't think this is possible. Boolean stores either True or False, a work around would be to change it to int column with 1, 0 or NaN.
  
  – Scott Boston
  Mar 28 at 15:19
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Like Scott said, pretty sure this is not possible since Booleans are two constant python objects. The solution @ScottBoston suggested is a good workaround. Or if you are not going to use it for calculation, use numbers as strings: '1', '0' and empty string ''
  
  – Erfan
  Mar 28 at 15:23
  
  

  
  
  
  


• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  You can fix it by convert to object , then mask the nan .......however , this will mess up your data type ..
  
  – WeNYoBen
  Mar 28 at 15:24
  

  
  
  
  

add a comment
 | 

2

I want to add an empty boolean column to a given pandas dataframe.
For now I have done this (df being my dataframe):

df["empty_bool_col"]=None
df["empty_bool_col"]=df["empty_bool_col"].astype(bool)

Then, my column looks like this:

0 False
1 False
2 False
3 False
Name: empty_bool_col, Length: 4, dtype: bool

This does not convey the fact that some values may be missing, and that the column is in fact, empty. Is it not possible to get an empty column of boolean type inside a pandas dataframe?

python pandas boolean

share|improve this question

asked Mar 28 at 15:13

OryszaOrysza

7666 bronze badges

• 
  
  
  

  
  7
  

  
  
  
  
  
  

  
  
  I don't think this is possible. Boolean stores either True or False, a work around would be to change it to int column with 1, 0 or NaN.
  
  – Scott Boston
  Mar 28 at 15:19
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Like Scott said, pretty sure this is not possible since Booleans are two constant python objects. The solution @ScottBoston suggested is a good workaround. Or if you are not going to use it for calculation, use numbers as strings: '1', '0' and empty string ''
  
  – Erfan
  Mar 28 at 15:23
  
  

  
  
  
  


• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  You can fix it by convert to object , then mask the nan .......however , this will mess up your data type ..
  
  – WeNYoBen
  Mar 28 at 15:24
  

  
  
  
  

add a comment
 | 

I want to add an empty boolean column to a given pandas dataframe.
For now I have done this (df being my dataframe):

df["empty_bool_col"]=None
df["empty_bool_col"]=df["empty_bool_col"].astype(bool)

Then, my column looks like this:

0 False
1 False
2 False
3 False
Name: empty_bool_col, Length: 4, dtype: bool

This does not convey the fact that some values may be missing, and that the column is in fact, empty. Is it not possible to get an empty column of boolean type inside a pandas dataframe?

python pandas boolean

share|improve this question

asked Mar 28 at 15:13

OryszaOrysza

7666 bronze badges

df["empty_bool_col"]=None
df["empty_bool_col"]=df["empty_bool_col"].astype(bool)

0 False
1 False
2 False
3 False
Name: empty_bool_col, Length: 4, dtype: bool

share|improve this question

asked Mar 28 at 15:13

OryszaOrysza

7666 bronze badges

share|improve this question

asked Mar 28 at 15:13

OryszaOrysza

7666 bronze badges

asked Mar 28 at 15:13

OryszaOrysza

7666 bronze badges

asked Mar 28 at 15:13

OryszaOrysza

7666 bronze badges