How to Create a Linear Plot of a 1D Vector in Python?

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To create a linear plot of a 1D vector in Python, you can use the matplotlib library, which provides a convenient interface for creating various types of plots. Here’s how you can create a linear plot:

import matplotlib.pyplot as plt

# Define your 1D vector
data = [1, 2, 3, 4, 5]

# Create a figure and axis object
fig, ax = plt.subplots()

# Plot the data as a line
ax.plot(data)

# Add labels and title
ax.set_xlabel('Index')
ax.set_ylabel('Value')
ax.set_title('Linear Plot of 1D Vector')

# Show the plot
plt.show()

In the code above, we first import the matplotlib.pyplot module as plt. We then define our 1D vector as the list [1, 2, 3, 4, 5].

Next, we create a figure and axis object using the subplots() function, which returns a tuple containing the figure and axis objects. We store these objects in the variables fig and ax, respectively.

We then use the plot() method of the axis object to plot the data as a line. By default, plot() assumes that the x-axis values are the indices of the data, so we don’t need to specify them explicitly.

Finally, we use the set_xlabel(), set_ylabel(), and set_title() methods of the axis object to add labels and a title to the plot. We then call plt.show() to display the plot.

This will create a linear plot of the 1D vector, with the x-axis representing the indices of the data and the y-axis representing the values.

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