![]() ![]() Let’s write some examples to get a better understanding. We can change the text’s size, color, or font style to change the text appearance using either the fontdict argument or keyword argument, and we can do the changes using both arguments. The axes (an instance of the class plt.Axes ) is what we see above: a bounding box with ticks and labels, which will eventually contain the plot elements that. This is the keyword argument that allows us to change the text properties of the title text. It will take the default value of 6.0 if there’s no value initialize. The pad argument is a float value that allows us to change the distance of the title from the top of the access. A string value of this argument will specify where to place the title, whether you want to place it at the center on the left or right side. One needs to account some additional space. One way to solve this issue can be to use a plt.figtext () at the appropriate positions. For setting an intermediate, column spanning title there is indeed no build in option. Shared X and Y axis labels sharexb indicates that subplots in a column will share the x-axis, and only the bottom axis is displayed. font attribute, which will apply to all titles and tick labels, but this can be overridden for specific plot items like individual axes and legend titles etc. This is the third argument, loc, the default value is Null. Setting the figure title using fig.suptitle () and the axes (subplot) titles using ax.settitle () is rather straightforward. ![]() You’ll learn how to style these titles individually and to multiple plots at once. ![]() You’ll learn how to add a title, a subtitle, and axis labels to your plot and subplots. The second argument is that it is a dictionary that will control the appearance of the title text to change the size of the text, or we can change the color of the text using this parameter. JIn this tutorial, you’ll learn how to add titles to your Matplotlib plots. You can manually jiggle the suptitle using fig.subplotpars: import matplotlib.pyplot as plt fig, ax plt.subplots () cats ('One', 'Two') vals (12, 4) Mid point of left and right x-positions mid ( + )/2. If we do not mention the label, it will raise an error (required). matplotlib aligns suptitle to the figure, and title to the subplot. The first argument is label, a string value whatever the name you want to give to the plot, so you must pass the label value as a first argument. Here is the definition of the title parameters. title(label, fontdict = None, loc = "center", pad = None, **kwargs) When working with python libraries, especially for visualization, I usually get confused my number of options available for plotting. ![]()
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