Let’s have a look at an example: # Import Library Use the xlabel() method in matplotlib to add a label to the plot’s x-axis. kwargs: Text properties that control the label’s appearance.Īlso, read: Matplotlib scatter marker Matplotlib x-axis label example.loc: Specify the location of the label.labelpad: Specify space, in points, from the bounding box of the axes, including ticks and tick labels.xlabel: Indicates the text of the label.The following are the parameters that were used: The following is the syntax for adding an x-axis label : (xlabel, fontdict=None, labelpad=None, loc=None, **kwargs) Generate graph: To display a graph on the user screen, use the show() method.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 reduce x-axis label Matplotlib x-axis label Matplotlib x-axis label scientific notationģ2.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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