In [ ]:

    

import numpy as np


    

In [6]:

    

import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format = 'svg'


    

In [2]:

    

dout = np.array(range(1,20))


    

In [5]:

    

dout


    

    
Out[5]:





array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
       18, 19])

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(1-ps)**dout


    

In [9]:

    

def probIndependent(ps, dout):
    p0 = (1-ps)**dout
    p0
    lmb = ((1-ps)/ps)*(1-p0)(dout-(1-p0))


    

In [10]:

    

probIndependent(0.1, dout)


    

    




---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-10-ab90c29de901> in <module>()
----> 1 probIndependent(0.1, dout)

<ipython-input-9-b81f89793b13> in probIndependent(ps, dout)
      2     p0 = (1-ps)**dout
      3     p0
----> 4     lmb = ((1-ps)/ps)*(1-p0)(dout-(1-p0))

TypeError: 'numpy.ndarray' object is not callable

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