Matplotlib Legend und x-y-ticks in Matplotlib verbessern In the following figure, we set the figure-wide font to Courier New in blue, and then override this for certain parts of the figure. To change the title font to bold, we can use plot.title argument and specify element_text (face=”bold”) as shown below. The legend's title. To change the title font to bold, we can use plot.title argument and specify element_text (face=”bold”) as shown below. Project: parametric_modeling Author: awesomebytes File: lms.py License: BSD 3-Clause "New" or "Revised" License. Write between $$ to force matplotlib to interpret it. import matplotlib.pyplot as plt I provide the full code at the end of the article. As an avid python enthusiast, I recently came across the task of generating a 3-way Venn diagram. Mar 26, 2021 at 9:51. # We can use any of the methods we have used for the label texts above. matplotlib Create x and y data points using numpy. 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. lemon_delivery https clips twitch tv uninterestedtalltireprchase. To set a legend with title, we use legend() method with labels and title arguments. 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. The legend () method adds the legend to the plot. Matplotlib is a library for creating interactive visualizations in Python. Legends, Titles, and Labels with Matplotlib - Python Programming