Nov 23, 2017 · You need to use plt.xticks() as shown here. It controls what ticks and labels to use for your x-axis. In your example, you will have to add another line as shown below: plt.plot(per_data['RELEASE'],per_data[name],label=name) plt.legend(loc='upper left',prop = {'size':7},bbox_to_anchor=(1,1)) plt.tight_layout(pad=5) plt.xlabel ('Release')

Create Labels for a Plot. With Pyplot, you can use the xlabel() and ylabel() functions to set a label for the x- and y-axis.

You can simply use xlabel and ylabel functions to print string.

Set the label for the x-axis. The label text. Spacing in points from the Axes bounding box including ticks and tick labels. If None, the previous value is left as is. The label position. This is a high-level alternative for passing parameters x and horizontalalignment. Text properties control the appearance of the label.

import matplotlib.pyplot as plt fig, axes = plt.subplots(3, 4, sharex=True, sharey=True) # add a big axes, hide frame fig.add_subplot(111, frameon=False) # hide tick and tick label of the big axes plt.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False) plt.grid(False) plt.xlabel("common X") plt.ylabel("common Y")

Jan 10, 2024 · Matplotlib.axes.Axes.set_xlabel() is used to set the label for the x-axis in a plot. It takes a string as an argument, representing the label text. This function allows users to provide a clear description or name for the x-axis, enhancing the overall understanding of the plotted data.

In this tutorial, we've explored several ways to add and customize axis labels in Matplotlib. Adding clear, descriptive, and well-formatted labels to your axes can make your plots much easier to understand and interpret.

Learn how to add axis labels to subplots in Python Matplotlib. This tutorial demonstrates how to customize axis labels in individual subplots, improving your visualizations and making them easier to understand.

Dec 13, 2024 · Learn how to use plt.xlabel () in Matplotlib to create professional x-axis labels for your plots. Includes styling options, positioning, and practical examples.

In this post, you will see how to add a title and axis labels to your python charts using matplotlib. In the following example, title, x label and y label are added to the barplot using the title(), xlabel(), and ylabel() functions of the matplotlib library.