In [14]:

    

import numpy

import matplotlib # TODO bug in ipython? (sometime can't call the module directly)
from matplotlib import pyplot

import scipy
from scipy import stats
from scipy import optimize

%matplotlib inline


    

In [15]:

    

import math

def poissoniana(x, mu):
    return (numpy.exp(-mu) * mu**x)/ (scipy.misc.factorial(x)) # if x >= 0


    

In [16]:

    

x = numpy.linspace(1,1000,1000)
# y = poissoniana(x, 3)
y = dataframeGradi.Tre.values


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-16-4909f8ea593e> in <module>()
      1 x = numpy.linspace(1,1000,1000)
      2 # y = poissoniana(x, 3)
----> 3 y = dataframeGradi.Tre.values

NameError: name 'dataframeGradi' is not defined

In [17]:

    

popt, pcov = scipy.optimize.curve_fit(poissoniana, x, y)


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-17-3aeb353885e1> in <module>()
----> 1 popt, pcov = scipy.optimize.curve_fit(poissoniana, x, y)

NameError: name 'y' is not defined

In [18]:

    

y, x = numpy.histogram(dataframeGradi.aggregati.values, bins = 3)


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-18-c7af66a8b63a> in <module>()
----> 1 y, x = numpy.histogram(dataframeGradi.aggregati.values, bins = 3)

NameError: name 'dataframeGradi' is not defined

In [19]:

    

min(dataframeGradi.aggregati.values)


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-19-7df1e88d3cbb> in <module>()
----> 1 min(dataframeGradi.aggregati.values)

NameError: name 'dataframeGradi' is not defined

In [20]:

    

len(y),len(x)


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-20-a09dec0ae8ad> in <module>()
----> 1 len(y),len(x)

NameError: name 'y' is not defined

In [21]:

    

y,x


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-21-d5074b03e2ce> in <module>()
----> 1 y,x

NameError: name 'y' is not defined

In [22]:

    

arr = [5,5,5,5,5,6,6,6,7,7]

y, x = numpy.histogram(numpy.array(arr), bins=(5,6,7,8))


    

In [23]:

    

y,x


    

    
Out[23]:





(array([5, 3, 2]), array([5, 6, 7, 8]))

In [24]:

    

pyplot.hist(arr, bins=(5,6,7,8))


    

    
Out[24]:





(array([ 5.,  3.,  2.]), array([5, 6, 7, 8]), <a list of 3 Patch objects>)






    

In [25]:

    

pyplot.hist(arr, bins=3)


    

    
Out[25]:





(array([ 5.,  3.,  2.]),
 array([ 5.        ,  5.66666667,  6.33333333,  7.        ]),
 <a list of 3 Patch objects>)






    

In [26]:

    

pyplot.hist(arr, bins=3, align="left")


    

    
Out[26]:





(array([ 5.,  3.,  2.]),
 array([ 5.        ,  5.66666667,  6.33333333,  7.        ]),
 <a list of 3 Patch objects>)






    

In [27]:

    

pyplot.hist(arr, bins=(5,6,7,8), align="mid")


    

    
Out[27]:





(array([ 5.,  3.,  2.]), array([5, 6, 7, 8]), <a list of 3 Patch objects>)






    

In [28]:

    

pyplot.hist(arr, bins=(5,6,7,8), align="left")


    

    
Out[28]:





(array([ 5.,  3.,  2.]), array([5, 6, 7, 8]), <a list of 3 Patch objects>)






    

In [29]:

    

def integerHistogram(integerData):
    integerData = [5,5,5,5,5,6,6,6,7,7]
    minimum = min(integerData)
    maximum = max(integerData)
    integerBins = maximum - minimum + 1
    numberSet = numpy.linspace(minimum, maximum, integerBins)
    y, x = numpy.histogram(arr, bins=(5,6,7,8))


    

In [30]:

    

numpy.histogram(arr, bins=(5,6,7,8))


    

    
Out[30]:





(array([5, 3, 2]), array([5, 6, 7, 8]))

In [31]:

    

integerData = [5,5,5,5,5,6,6,6,7,7,9,10,10]
minimum = min(integerData)
maximum = max(integerData)
integerBins = maximum - minimum + 1
numberSet = numpy.linspace(minimum, maximum, integerBins, dtype=int)
min(integerData), max(integerData)


    

    
Out[31]:





(5, 10)

In [32]:

    

numberSet


    

    
Out[32]:





array([ 5,  6,  7,  8,  9, 10])

In [33]:

    

numpyBins = numberSet + [minimum+1]


    

In [34]:

    

numpyBins


    

    
Out[34]:





array([11, 12, 13, 14, 15, 16])

In [ ]: