46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Created on Mon Aug 14 14:53:22 2017
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@author: nlp
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"""
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import matplotlib.pyplot as plt
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import matplotlib.patches as mpat
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time_vector = open("d_x_times(1-2000,100).txt",'r') # opens file
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timeVect = time_vector.read() # reads data on file
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timeVect = timeVect.replace(" ","") # this section is to clean the original list
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#timeVect = timeVect.replace('',"0")
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timeVect = timeVect.replace("\n","")
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timeVect = timeVect.replace("[","")
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timeVect = timeVect.replace("]","")
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#timeVect = timeVect.replace('',"0")
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timeVect = timeVect.split(",") # this line makes a list out of the clean values
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timeVect = [float(i)/1000 for i in timeVect] # this line changes string to float
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timeVect = list(filter(lambda a: a != 0.0, timeVect))
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#plt.plot(timeVect,'o',ms=0.8) # plotting the data
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cuad = []
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for x in range(1,21):
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cuad.append((x**2))
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plt.plot(cuad,'r')
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plt.plot(timeVect)
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red_patch = mpat.Patch(color='red', label='x^2')
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blue_patch = mpat.Patch(color='blue', label='data')
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plt.legend(handles=[red_patch,blue_patch])
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plt.ylabel('Time in ms')
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plt.xlabel('Group Order*100')
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plt.show()
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