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## Overview

**Plots** in #key# Matplotlib: A comprehensive library for creating static, animated, and interactive visualizations in Python. #key# represent the visualization of the given data. These plots require **labels** (on x and y-axis) and **titles**. Every plot has an x and y-axis. These axes represent the values of the plotted data.

## How to add labels to a plot

In `matplotlib`, we use the **``pyplot.xlabel()``** and **``pyplot.ylabel()``** functions to label the x and y-axis of the plot, respectively.

### Example

Let's create a plot and label its x and y-axes as follows:

import matplotlib.pyplot as plt
import numpy as np

x = np.array([1, 5])
y = np.array([10, 20])

plt.plot(x, y)

# using the xlabel and ylabel functions
plt.xlabel("x axis")
plt.ylabel("y axis")
plt.show()

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### Explanation

* Line 1: We import the ``pyplot`` module from the `matplot` library.
* Line 2: We import the ``numpy`` module.
* Line 4: We use the `numpy.array()` method to create an array variable ``x``.
* Line 5: We use the `numpy.array()` method to create another array variable, ``y``.
* Line 7: We use the ``pyplot.plot()`` method to plot ``y`` against ``x`` (that is, ``x`` on the x-axis and ``y`` on the y-axis).
* Line 10: We use the ``pyplot.xlabel()`` method to label the x-axis of our plot.
* Line 11: We use the ``pyplot.ylabel()`` method to label the y-axis of our plot.
* Line 12: We use the ``pyplot.show()`` method to ask Python to show us our plot.
##   
## How to add a title to a plot

In ``Matplotlib``, we use the **``pyplot.title()``** method to give a title to a plot.

### Example 

Let's create a plot and give it a title, as follows:


import matplotlib.pyplot as plt
import numpy as np

x= np.array([1, 5])
y = np.array([10, 20])

plt.plot(x, y)

# usig the title() method
plt.title('Y against X')
# using the xlabel() and ylabel() methods
plt.xlabel("x axis")
plt.ylabel("y axis")
plt.show()


How to add labels and titles to a plot in matplotlib

Use `pyplot.xlabel()`, `pyplot.ylabel()`, and `pyplot.title()` to add labels and titles to Matplotlib plots.