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# brandonskerritt/Readme.md Last active Dec 12, 2019

Made for Skerritt.blog Every new plot starts with the x axis as:

`[2, 4, 6, 8, 10, 12, 14]`

Then the y axis is that function applied to the x. So log is:

```x = [2, 4, 6, 8, 10, 12, 14]
y = [(z * math.log2(z)) for z in x]```
 import matplotlib.pyplot as plt import matplotlib.style as style import math import numpy as np style.use('seaborn-poster') #sets the size of the charts style.use('ggplot') # constanttime x = [2, 4, 6, 8, 10, 12, 14] y = [2] * 7 x = plt.plot(x, y, 'b', label='O(1)') x[0].set_color('darkgreen') # log time x = [2, 4, 6, 8, 10, 12, 14] y = [2.0, 2.584962500721156, 3.0, 3.321928094887362, 3.584962500721156, 3.807354922057604, 4.0] x = plt.plot(x, y, 'b', label='O(log n)') x[0].set_color('blue') # linear time x = [2, 4, 6, 8, 10, 12, 14] y = [2, 4, 6, 8, 10, 12, 14] x = plt.plot(x, y, 'b', label='O(n)') x[0].set_color('gold') x = [2, 4, 6, 8, 10, 12, 14] y = [(z * math.log2(z)) for z in x] x = plt.plot(x, y, 'b', label='O(n log n)') x[0].set_color('goldenrod') x = [2, 4, 6, 8, 10, 12, 14] y = [z**2 for z in x] x = plt.plot(x, y, 'b', label='O(n²)') x[0].set_color('darkred') x = [2, 4, 6, 8, 10, 12, 14] y = [2**z for z in x] x = plt.plot(x, y, 'b', label='O(2^n)') x[0].set_color('red') x = [2, 4, 6, 8, 10, 12, 14] y = [2, 24, 720, 40320, 3628800, 479001600, 87178291200] x = plt.plot(x, y, 'b', label='O(n!)') x[0].set_color('orangered') plt.xlabel('Elements', size=18) plt.ylabel('Operations', size=18) plt.title('Factorial Complexity', size = 24) plt.legend() plt.savefig('big_o_factorial_time.png', bbox_inches='tight')