prob140.JointDistribution.marginal¶

JointDistribution.marginal(label)[source]¶

Returns the marginal distribution of label

Parameters:

Parameters:	label : String The label of the variable of which we want to find the marginal distribution
Returns:	JointDistribution Table

label : String

The label of the variable of which we want to find the marginal distribution

Returns:

JointDistribution Table

Examples

>>> dist2 = Table().values("Coin1",['H','T'],"Coin2", ['H','T']).probability(np.array([0.24, 0.36, 0.16, 0.24])).toJoint()
>>> dist2.marginal("Coin1")
                        Coin1=H  Coin1=T
Coin2=T                    0.36     0.24
Coin2=H                    0.24     0.16
Sum: Marginal of Coin1     0.60     0.40
>>> dist2.marginal("Coin2")
         Coin1=H  Coin1=T  Sum: Marginal of Coin2
Coin2=T     0.36     0.24                     0.6
Coin2=H     0.24     0.16                     0.4