Jun 3, 2022 · You’ll learn how to add a title, a subtitle, and axis labels to your plot and subplots. You’ll learn how to style these titles individually and to multiple plots at once. Being able to add titles gives you the ability to better communicate what your data is saying.

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.

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

matplotlib.axes.Axes.set_title# Axes. set_title (label, fontdict = None, loc = None, pad = None, *, y = None, ** kwargs) [source] # Set a title for the Axes. Set one of the three available Axes titles. The available titles are positioned above the Axes in the center, flush with the left edge, and flush with the right edge. Parameters: label str

Over 8 examples of Setting the Font, Title, Legend Entries, and Axis Titles including changing color, size, log axes, and more in Python.

Apr 19, 2020 · The Axes.set_title() function in axes module of matplotlib library is used to set a title for the axes. Syntax: Axes.set_title(self, label, fontdict=None, loc=’center’, pad=None, **kwargs) Parameters: This method accepts the following parameters.

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 font properties for the title and labels:

Aug 26, 2022 · To add title and axis labels in Matplotlib and Python we need to use plt.title() and plt.xlabel() Steps * Import libraries - matplotlib and `numpy * Prepare Data * Select columns X and Y * Select colors * Select chart type * Add title * adjust title font size * Add axis labels * …

Learn how to add titles to plots, subplots and figures with the title, set_title and suptitle functions and learn how to customize its location, color, font size and style

In this tutorial, we're going to cover legends, titles, and labels within Matplotlib. A lot of times, graphs can be self-explanatory, but having a title to the graph, labels on the axis, and a legend that explains what each line is can be necessary.