The Learning Curve

gistfile1.py

# -*- 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()