Both pictures are the same question In python, the library matplotlib.pyplot is a collection of command style functions that makematplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g.,creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decoratesthe plot with labels, etc. In matplotlib.pyplot various states are preserved across function calls, sothat it keeps track of things like the current figure and plotting area, and the plotting functions aredirected to the current axes (please note that "axes" here and in most places in the documentationrefers to the axespart of a figure and not the strict mathematical term for more than one axis).Sample Codes:import numpy as npimport matplotlib.pvplot as pltax = plt.subplot(111)t = np.arange(0.0, 5.0, 0.01)S = np.cos(2*np.pi*t)line, = plt.elot(t, s, lw=2)plt.annotate('local max', xy=(2, 1), xytext=(3, 1.5),arrowprops=dict(facecolor='black', shrink=0.05),plt.vlim(-2,2)plt.show()Outputs:h (US)20F3000D00 F4F7F8F9&35678 2.01.5local max1.0-0.50.0--0.5-1.0-1.5-2.013Please select a proper range for the variable x, and visualize the following functions:Straight line y = 0, + 0,x where 0, = 30, 0, = 0.5Quadratic function: y = (x – 0,)² + 00, where 0, = 25, 0, = 20Log function, y = – log(x) and y = – log(1 – x),Sigmoid function, y = 1/(1+ e-*)7.W

Code: import matplotlib.pyplot as pltimport numpy as npimport math x = np.linspace(10,50,…

Please select a proper range for the variable x, and visualize the following functions: Straight line y = 0, + 0,x where 0, = 30, 0, = 0.5 Quadratic function: y = (x - 0,)? + 0,, where 0, = 25, 0, = 20 Log function, y = - log(x) and y = - log(1 – x), Sigmoid function, y = 1/(1 + e*) %3D %3D %3D

Please select a proper range for the variable x, and visualize the following functions: Straight line y = 0, + 0,x where 0, = 30, 0, = 0.5 Quadratic function: y = (x - 0,)? + 0,, where 0, = 25, 0, = 20 Log function, y = - log(x) and y = - log(1 – x), Sigmoid function, y = 1/(1 + e*) %3D %3D %3D

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Question

Both pictures are the same question

In python, the library matplotlib.pyplot is a collection of command style functions that make
matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g.,
creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates
the plot with labels, etc. In matplotlib.pyplot various states are preserved across function calls, so
that it keeps track of things like the current figure and plotting area, and the plotting functions are
directed to the current axes (please note that "axes" here and in most places in the documentation
refers to the axespart of a figure and not the strict mathematical term for more than one axis).
Sample Codes:
import numpy as np
import matplotlib.pvplot as plt
ax = plt.subplot(111)
t = np.arange(0.0, 5.0, 0.01)
S = np.cos(2*np.pi*t)
line, = plt.elot(t, s, lw=2)
plt.annotate('local max', xy=(2, 1), xytext=(3, 1.5),
arrowprops=dict(facecolor='black', shrink=0.05),
plt.vlim(-2,2)
plt.show()
Outputs:
h (US)
20
F3
000
D00 F4
F7
F8
F9
&
3
5
6
7
8

2.0
1.5
local max
1.0-
0.5
0.0
--0.5
-1.0
-1.5
-2.0
1
3
Please select a proper range for the variable x, and visualize the following functions:
Straight line y = 0, + 0,x where 0, = 30, 0, = 0.5
Quadratic function: y = (x – 0,)² + 00, where 0, = 25, 0, = 20
Log function, y = – log(x) and y = – log(1 – x),
Sigmoid function, y = 1/(1+ e-*)
7.
W

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