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- # -*- coding: utf-8 -*-
- """
- Created on Wed Jul 15 22:13:03 2015
- @author: abhinav
- """
- import matplotlib.pyplot as plt
- import numpy as np
- with plt.xkcd():
- # This initializes the grid
- fig = plt.figure()
- # This is the position of the grid in the screen
- ax = fig.add_axes((0.3, 0.3, 0.5, 0.5))
- # This portion takes care of the colors ofthe Grid Boundary
- ax.spines['right'].set_color('blue')
- ax.spines['left'].set_color('darkred')
- ax.spines['bottom'].set_color('green')
- ax.spines['top'].set_color('purple')
- # The ticks for the axes
- plt.xticks([])
- plt.yticks([])
- # This sets the limits for the grid
- ax.set_ylim([0, 50])
- ax.set_xlim([0,100])
- # This is the arrow which is used to point-out imp. stuff
- # x = np.linspace(0,1)
- # y = np.sin(4*np.pi*x)
- # plt.plot(x,y,'r')
- # x = np.linspace(0,100)
- # plt.plot( np.log(x), 'r')
- # y = np.linspace(-3*np.pi, 3*np.pi)
- # plt.plot(np.sin(y))
- #
- #
- # z = np.linspace(20,40)
- # plt.plot(np.sqrt(z))
- # y = np.linspace(-3*np.pi, 2*np.pi)
- # x = np.linspace(2*np.pi,20)
- # plt.plot(np.sqrt(x))
- # plt.plot(np.sin(y))
- # arr1 = np.arange(0,8,0.5)
- # arr2 = np.arange(8,14, 0.2)
- # arr3 = np.arange(14,20,0.09)
- # data_points = np.append(arr1, arr2)
- # plt.plot(data_points, linestyle = ':')
- arr1 = np.arange(0,8,0.9)
- arr2 = np.arange(8,14, 0.4)
- arr3 = np.arange(14,20,0.09)
- arr4 = np.arange(20, 80, 0.005)
- data_points_1 = np.append(arr1, arr2)
- data_points_2 = np.append(data_points_1, arr3)
- data_points_3 = np.append(data_points_2, arr4)
- plt.plot(data_points_3, linestyle = '--', color = "skyblue")
- # plt.plot(np.append(np.append(arr1, arr2) + np.append(arr2, arr3))
- # plt.plot(np.append(arr1, arr2)) + plt.plot(np.append(arr2, arr3))
- ax.plot([8],[9],"ro")
- plt.annotate(
- 'THE STEEP CURVE ENDS\n RIGHT HERE',
- xy=(7, 9), arrowprops=dict(arrowstyle='->'),
- xytext=(15, 30))
- ax.plot([26],[15],"ro")
- plt.annotate(
- 'NOW IT STARTS TO FLATTEN',
- xy=(26, 15), arrowprops=dict(arrowstyle='->'),
- xytext=(15, -15))
- plt.annotate(
- 'THE LONG ROAD TO PERFECTION',
- xy=(50, 25),
- xytext=(50, 13))
- # These are the labels which are to be placed along the axes
- plt.xlabel('Time')
- plt.ylabel('The amount of learning')
- # This is the Subscript banner
- fig.text(
- 0.5, 0.05,
- 'THE LEARNING CURVE',
- ha='center')
- plt.show()
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