![]() ![]() In this tutorial, you learned how to use Matplotlib to change the font sizes in your visualization. If you need to reset your Matplotlib rcParams back to their default values, simply run the code below: # Resetting rcParams in Matplotlib Matplotlib provides a helpful function to make this easy. This can be helpful if you’ve overwritten a useful parameter or simply want to return back to the default settings. Once you’ve modified your rcParams, you may wish to reset them to the default Matplotlib settings. This returns the following image: Using rcParams to Change the Matplotlib Font Size Resetting Font Sizes to Default in Matplotlib Plt.rc('figure', titlesize=10) # Controls Figure Title Plt.rc('legend', fontsize=16) # Controls Legend Font Plt.rc('ytick', labelsize=10) # Controls y Tick Labels Plt.rc('xtick', labelsize=10) # Controls x Tick Labels Plt.rc('axes', labelsize=10) # Controls Axes Labels Plt.rc('axes', titlesize=10) # Controls Axes Title In the code below, we modify a number of different font sizes belonging to different parts of our data visualization: # Changing the Font Size Using rcParams This function returns all the keys that you can modify. Matplotlib comes with a huge number of rcParams, which you can access using the () function. This can be helpful when you’re generating multiple plots and want them all to be styled the same. Using rcParams is a helpful way to modify attributes of the Matplotlib library for a given Python program. Using rc Parameters to Change Font Sizes in Matplotlib This is what you’ll learn in the following section. In these cases, it can be helpful to use rcParams to modify the font sizes for all plots in the current program. If you’re creating multiple plots, this method can be a little bit time-consuming. This returns the following image: Changing Matplotlib Font Size Using fontsize parameter ![]() Let’s see how we can make use of this using the boilerplate code we used above: # Changing the Font Size in Matplotlib Using fontsize=Īx.set_title('Some Fun Lines', fontsize=18) set_title() function, we can pass in an argument to specify the font size. This means when we set, say, a title using the. In the graph above, we have the following text elements to modify the font size on:Ĭhanging Font Sizes in Matplotlib Using FontsizeĮvery Matplotlib function that deals with fonts, such as the ones we used above, has a parameter named fontsize= to control the font size. This returns the following image: A Matplotlib Plot to Use for the Tutorial The plot below will include a lot of boilerplate code to include multiple text elements that we can manipulate more easily: # Loading a Sample Matplotlib PlotĪx.plot(x, y, color='green', label='y= x^2')Īx.plot(x, z, color='blue', label='y = x^3') Feel free to use your own plot, though your code will vary a little bit, of course. In order to follow along with this tutorial, I have provided some code below to load a sample plot. Resetting Font Sizes to Default in Matplotlib.Using rc Parameters to Change Font Sizes in Matplotlib.Changing Font Sizes in Matplotlib Using Fontsize.See this answer for usage example.Īll of which accept string sizes or 'normal' (400), 'bold' (700), 'lighter', and 'bolder' ( relative with respect to current weight). legend.title_fontsize - Fontsize for legend titles, None sets to the same as the default axes.legend.fontsize - Fontsize for legends ( plt.legend(), fig.legend()). ![]() ytick.labelsize - Fontsize of the tick labels.xtick.labelsize - Fontsize of the tick labels.figure.titlesize - Size of the figure title ( Figure.suptitle()).axes.titlesize - Fontsize of the axes title. ![]() axes.labelsize - Fontsize of the x and y labels.See this section of the customizing matplotlib page for more details.Ī complete list of the rcParams keys can be retrieved via (), but for adjusting font sizes you have (italics quoted from here) You can also create (or modify) a matplotlibrc file which shares the format axes.labelsize = 16ĭepending on which matplotlibrc file you modify these changes will be used for only the current working directory, for all working directories which do not have a matplotlibrc file, or for all working directories which do not have a matplotlibrc file and where no other matplotlibrc file has been specified. If you have a style sheet at /path/to/mpl_configdir/stylelib/mystyle.mplstyle then you can use it via ('mystyle') The style sheet format is axes.labelsize: 16 You can also do this by creating a style sheet in the stylelib directory under the matplotlib configuration directory (you can get your configuration directory from matplotlib.get_configdir()). The defaults can be restored using (plt.rcParamsDefault) Mpl.rc('axes', labelsize=16, titlesize=16) Globally setting font sizes via rcParams should be done with import matplotlib.pyplot as plt matplotlib.pyplot should be used directly instead. Per the official guide, use of pylab is no longer recommended. ![]()
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