
Starting Out with Python (4th Edition)
4th Edition
ISBN: 9780134444321
Author: Tony Gaddis
Publisher: PEARSON
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Expert Solution & Answer
Chapter 7.10, Problem 26CP
Explanation of Solution
Function “plot()”:
- • “plot()” function creates a line graph.
- • This function is accessible in the “matplotlib.pyplot” module.
- • This “plot()” function creates a line graph by joining the data points with straight lines.
- • The “plot()” function takes two lists as its input arguments.
- • The first list represents the X coordinates of all the data points.
- • The second list represents the Y coordinates of all the data points.
Syntax:
The “plot()” function has the following procedure in Python.
plt.plot(xcoordinates, ycoordinates)
Explanation:
Here,
- • “plot()” is the function that plots a line graph.
- • The variable “xcoordinates” is a list that contains the X coordinates of all data points.
- • The variable “ycoordinates” is a list that has the Y coordinates of all data points.
Example program:
The below example shows how to use the “plot()” function in Python.
#Import the files
import matplotlib.pyplot as plt
#Create a list to have the X coordinates of data points
xcoord = [1, 2, 3, 4]
#Create a list to have the Y coordinates of data points
ycoord = [2, 4, 6, 8]
#Call the function
plt...
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I need help fixing the minor issue where the text isn't in the proper place, and to ensure that the frequency cutoff is at the right place.
My code:
% Define frequency range for the plot
f = logspace(1, 5, 500); % Frequency range from 10 Hz to 100 kHz
w = 2 * pi * f; % Angular frequency
% Parameters for the filters - let's adjust these to get more reasonable cutoffs
R = 1e3; % Resistance in ohms (1 kΩ)
C = 1e-6; % Capacitance in farads (1 μF)
% For bandpass, we need appropriate L value for desired cutoffs
L = 0.1; % Inductance in henries - adjusted for better bandpass response
% Calculate cutoff frequencies first to verify they're in desired range
f_cutoff_RC = 1 / (2 * pi * R * C);
f_resonance = 1 / (2 * pi * sqrt(L * C));
Q_factor = (1/R) * sqrt(L/C);
f_lower_cutoff = f_resonance / (sqrt(1 + 1/(4*Q_factor^2)) + 1/(2*Q_factor));
f_upper_cutoff = f_resonance / (sqrt(1 + 1/(4*Q_factor^2)) - 1/(2*Q_factor));
% Transfer functions
% Low-pass filter (RC)
H_low = 1 ./ (1 + 1i * w *…
Chapter 7 Solutions
Starting Out with Python (4th Edition)
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