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I have a DataFrame like following.

1 A B D E None 2 B C E None None 3 A B D E None 4 A B C E None 5 A B C D E

I want to count each item in the DataFrame. How to do it?

B(6), E(5), A(4), C(4), D(4) etc.
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stack it first and then use value_counts:

import pandas as pd from StringIO import StringIO data = \ """A,B,D,E,None B,C,E,None,None A,B,D,E,None A,B,C,E,None A,B,C,D,E""" # Creation of the dataframe df = pd.read_csv(StringIO(data),sep = ',',header=None) # Perform the magic operation (stack and value_counts) on the dataframe res = df.stack().value_counts()

The result looks like:

E 5 B 5 None 5 A 4 C 3 D 3 dtype: int64

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