Though this article tackles binomial distribution, a type of discrete probability distribution, it is rather focused on practical questions how to use matplotlib to construct such distributions.
Numpy offers four parameters that effect graphical appearance:
parameter 
meaning 
usage 
p 
probability 
essential, to construct a probability distribution 
n 
sample size 
essential, to construct a probability distribution 
loc 
origin 
optional, the origin of the probability distribution default = 0 
size 
vector length 
optional, size of the one dimensional array of random variables default=0 => no array but a single random variable is returned 
[Error: Macro 'mathplot' error: mathplot() got an unexpected keyword argument 'title']
The probability mass function can be written:
[Error: Macro 'me' doesn't exist]
The cumulative probability function can be described by the equation:
[Error: Macro 'me' doesn't exist]
