Pivoting tables in a pandas dataframe

Question

I have a requirement where in I am trying to count the values and Put them in the pivot table.

This is my dataframe,

  Cola        Colb          
 Ap         


        

Answer 1

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Option 1

pd.get_dummies(df.Cola).T.dot(pd.get_dummies(df.Colb))

        Rippened  UnRippened
Apple          1           1
Mango          0           1
Orange         1           0

---

Option 2

i, r = pd.factorize(df.Cola.values)
j, c = pd.factorize(df.Colb.values)
n, m = r.size, c.size
b = np.bincount(i * m + j, minlength=n * m).reshape(n, m)

pd.DataFrame(b, r, c)

        Rippened  UnRippened
Apple          1           1
Orange         1           0
Mango          0           1

---

Option 3

df.groupby(['Cola', 'Colb']).size().unstack(fill_value=0)

Colb    Rippened  UnRippened
Cola                        
Apple          1           1
Mango          0           1
Orange         1           0

---

Option 4

df.groupby('Cola').Colb.value_counts().unstack(fill_value=0)

Colb    Rippened  UnRippened
Cola                        
Apple          1           1
Mango          0           1
Orange         1           0