Change the font just for the title or axis labels. Update #2: I’ve figured out changing legend title fonts too. Controlling style of text and labels using a dictionary¶. How to change the font size in matplotlib? The fontsize argument sets the font size of each of the data labels, and the title_fontsize argument sets the fontsize of the title, if you give the legend a title. subplots (1, 2, figsize = (8, 3)) ax1. ax.get_title() As expected, the result is an empty string. Update #2: I've figured out changing legend title fonts too. Passing an integer to fontsize allows directly specifying the font size in points. Question or problem about Python programming: I am creating a figure in Matplotlib like this: from matplotlib import pyplot as plt fig = plt.figure() plt.plot(data) fig.suptitle('test title') plt.xlabel('xlabel') plt.ylabel('ylabel') fig.savefig('test.jpg') I want to specify font sizes for the figure title and the axis labels. These sizes are relative to the base font size.Passing an integer to fontsize allows directly specifying the font size in points.. plt.title(), plt.xlabel(), and plt.ylabel() accept the Matplotlib Text properties as arguments. pyplot as plt fig, [ax1, ax2] = plt. You can change the global font size in matplotlib using rcparams. Was this the supposed behavior? Kite is a free autocomplete for Python developers. It allows to define a title for your chart. import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot([0,1,2],[2,1,2],label='test_data (fs=12)') ax.legend(fontsize=12, title='TITLE (fs=30)',title_fontsize=30) Setting the font size of the figure title and axis labels in a Matplotlib graph specifies the size of the text in the graph's title and axis labels. # Plot the median life expectancy by continent ax = df. As we use matplotlib.pyplot.title() method to assign a title a plot, so in order to change the font size, we are going to use the fontsize argument of the pyplot.title() method in the matplotlib module. ax.set_title('Sales by City'); fig Customize Matplotlib title fonts. legend (title = 'location') ax2. This does not change the font for the numbers on the axes. The default font is BitstreamVeraSans Roman, but we want to try out something else.You can pass fontname to .set_xlabel, .set_ylabel, .set_title, or .annotate to specify a particular font. Code faster with the Kite plugin for your code editor, featuring Line-of-Code Completions and cloudless processing. Update #3: There is a bug in Matplotlib 2.0.0 that’s causing tick labels for logarithmic axes to revert to the default font. Let’s quickly define a title and customize the font size, weight and color. I need all three to be different font sizes, so setting […] Should be fixed in 2.0.1 but I've included the workaround in the 2nd part of the answer. This example shows how to share parameters across many text objects and labels by creating a dictionary of options passed across several functions. Update: See the bottom of the answer for a slightly better way of doing it. scatter (1, 1, 40, label = 'point') ax1. The size and font of title and axes in Matplotlib can be set by adjusting fontsize parameter, using set_size() method, and changing values of rcParams dictionary. You can also change the font size of individual components such as tick labels, axes labels, axes titles, etc. Example: % matplotlib inline import matplotlib. Define plot titles. mpl.version: 2.0.1 Using the method ax.legend(title='something', fontsize=18) to draw a legend, only the handler labels has the fontsize but not the title. Adjust fontsize Parameter to Set Fontsize of Title and Axes in Matplotlib. Below is are some programs which depict how to change the font size of the title in a matplotlib figure: Example 1: Update #3: There is a bug in Matplotlib 2.0.0 that's causing tick labels for logarithmic axes to revert to the default font. Update: See the bottom of the answer for a slightly better way of doing it. The plt.set_title() method is self explanatory. More Examples Specify an Absolute Font Size. Should be fixed in 2.0.1 but I’ve included the workaround in the 2nd part of the answer.
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