Missing data in pandas.crosstab

Question

I\'m making some crosstabs with pandas:

a = np.array([\'foo\', \'foo\', \'foo\', \'bar\', \'bar\', \'foo\', \'foo\'], dtype=object)
b = np.array([\'one\', \'one\         


        

Answer 1

The crosstab function has a parameter called dropna which is set to True by default. This parameter defines whether empty columns (such as the one-shiny column) should be displayed or not.

I tried calling the funcion like this:

pd.crosstab(a, [b, c], rownames=['a'], colnames=['b', 'c'], dropna = False)

and this is what I got:

b     one          two       
c    dull  shiny  dull  shiny
a                            
bar     1      0     1      0
foo     2      0     1      2

Hope that was still helpful.