Add x-axis label: Use the xlabel() method to add an x-axis label.
Drawing Graph or Chart: You may draw a graph using the plot(), bar(), scatter(), and other functions.
Define Data: Define the data coordinates that will be used to visualize the data.
Importing Libraries: Import the important libraries like Numpy and Pandas for data creation and pyplot from matplotlib for data visualization.
The following are the steps to add x-axis labels to your graph: Labels are either numbers that represent an axis’ scale or the text that describes the categories. Basically, it is a line on a graph that runs horizontally through zero. X-axis is one of the axes of a two-dimensional or three-dimensional chart. Before you begin, you must first understand what the term x-axis and label mean: In this section, you will learn about x-axis labels in Matplotlib in Python.
Matplotlib x-axis label rotation by using ax.tick_params().
Matplotlib x-axis label rotation by using ax.set_xticklabels().
Matplotlib x axis label rotation by using plt.xticks().
Matplotlib x-axis label scientific notation.
And we will also cover the following topics: Here we will cover different examples related to the x-axis label using matplotlib. In this Python tutorial, we will discuss the Matplotlib x-axis label in python.
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