How can for loops be utilized in creating plots with Python?

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For loops can be used for creating plots in Python using the following steps:

1. Import the necessary libraries - matplotlib and numpy.
2. Create data to be plotted using numpy.
3. Create a figure and axis object using matplotlib.
4. Use a for loop to iterate over the data and plot it on the axis object.
5. Customize the plot by adding labels, titles, legends, etc. using matplotlib functions.

Here is an example of how for loops can be used to create a line plot with multiple lines:

import matplotlib.pyplot as plt
import numpy as np

# create data
x = np.linspace(0, 10, 100)
y1 = np.sin(x)
y2 = np.cos(x)
y3 = np.tan(x)

# create axis object
fig, ax = plt.subplots()

# plot each line using a for loop
for y, label in zip([y1, y2, y3], ['sin', 'cos', 'tan']):
    ax.plot(x, y, label=label)

# add labels, legend and title
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.legend()
ax.set_title('Trigonometric Functions')

# display the plot
plt.show()

In this example, a for loop is used to plot three lines (sine, cosine, and tangent) on the same axis. The zip function is used to iterate over the data and the labels for the lines. The ax object is used to customize the plot by adding labels, a legend, and a title, which are then displayed using plt.show().