Each of these elements has a different purpose, as follows: Label: Provides positive identification of a particular data element or grouping. To display the figure, use show() method. Matplotlib Python Data Visualization. In [3]: Excursions; Circuits; Burkina Faso Matplotlib: thick axes set_title (' Third Subplot ') ax[1, 1]. Syntax: matplotlib.pyplot.legend(*args, **kwargs) Example 2: In this example, we will draw a Bar Graph with the help of matplotlib and Use the title argument to plt.legend () to specify the legend title. In [1]: from pylab import * # Thicken the axes lines and labels # # Comment by J. R. Lu: # I couldn't figure out a way to do this on the # individual plot and have it work with all backends # and in interactive mode. plt.plot(range(10), range(10), label = "Normal text $\it{I... 04.06-Customizing-Legends.ipynb - Colaboratory. Customize Map Legends and Colors in Python using Matplotlib As silvado mentions in his comment, you can use LaTeX rendering for more flexible control of the text rendering. See here for more information: ht... I had used the package matplotlib to get the figures and I want to make "Times New Roman" the default font. The Python matplotlib pie chart displays the series of data in slices or wedges, and each slice is the size of an item. Here we learn how to set the title font size to bold in Matplotlib.
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