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')

Add labels to the x- and y-axis: With Pyplot, you can use the title() function to set a title for the plot. Add a plot title and labels for the x- and y-axis: You can use the fontdict parameter in xlabel(), ylabel(), and title() to set font properties for the title and labels. Set …

Apr 26, 2013 · There is a straightforward solution without messing with matplotlib: just pandas. Tweaking the original example: table = sql.read_frame(query,connection) ax = table[0].plot(color=colors[0],ylim=(0,100)) ax2 = table[1].plot(secondary_y=True,color=colors[1], ax=ax) ax.set_ylabel('Left axes label') ax2.set_ylabel('Right axes label')

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

Subplots, axes and figures. Align labels and titles; Programmatically control subplot adjustment; Axes box aspect; Axes Demo; Controlling view limits using margins and sticky_edges; Axes properties; Axes zoom effect; Draw regions that span an Axes; Equal axis aspect ratio; Axis label position; Broken axis; Custom Figure subclasses; Resize Axes ...

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.

Dec 6, 2022 · In this article, we will discuss adding labels to the plot using Matplotlib in Python. But first, understand what are labels in a plot. The heading or sub-heading written at the vertical axis (say Y-axis) and the horizontal axis(say X-axis) …

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.

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.

In Matplotlib, axis labels are added using the set_xlabel() and set_ylabel() methods, which allow you to customize the labels for both the x and y axes. This tutorial will show you how to add axis labels to subplots in a figure.