Distribution Analysis

This notebook visualizes the distribution dynamos that subclass gvas.dynamo.Distribution. This is partly to have a debug of the distribution, but also to provide an entry point to vizualizations and simulation analysis later on.



In [1]:

    
%matplotlib inline



In [2]:

    
from gvas.viz import *
from gvas.dynamo import Uniform, Normal
from gvas.dynamo import Stream

Uniform Distribution



In [4]:

    
Uniform(0, 100).plot(n=100000, context='paper')









    Out[4]:





<matplotlib.axes._subplots.AxesSubplot at 0x110cf0510>

Normal Distribution



In [5]:

    
Normal(0, 12).plot(n=100000, context='paper')









    Out[5]:





<matplotlib.axes._subplots.AxesSubplot at 0x10e104050>

Streaming Data

Simulates the flow of streaming data.



In [9]:

    
Stream(100, 24, 10, 0.015, 15).plot(n=200, context='paper')









    Out[9]:





<matplotlib.axes._subplots.AxesSubplot at 0x1121f8ed0>



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