set_ylabel ( 'ylabel' ) # Set both x- and y-axis limits to instead of default ax. suptitle ( 'bold figure suptitle', fontsize = 14, fontweight = 'bold' ) ax. subplots_adjust ( top = 0.85 ) # Set titles for the figure and the subplot respectively fig. Import matplotlib.pyplot as plt import matplotlib fig = plt. Shows all of these commands in action, and more detail is provided in the Interfaces (see Matplotlib Application Interfaces (APIs) for an explanation of the tradeoffs):Īll of these functions create and return a Text instance, which can beĬonfigured with a variety of font and other properties. The following commands are used to create text in the implicit and explicit Math symbols and commands, supporting mathematical expressions anywhere in your figure. Or scientific figures, Matplotlib implements a large number of TeX Weight, text location and color, etc.) with sensible defaults set inĪnd significantly, for those interested in mathematical The user has a great deal of control over text properties (font size, font Matplotlib.font_manager (thanks to Paul Barrett), which Produces very nice, antialiased fonts, that look good even at small Or PDF, what you see on the screen is what you get in the hardcopy. Vector outputs, newline separated text with arbitraryīecause it embeds fonts directly in output documents, e.g., for postscript Mathematical expressions, truetype support for raster and Matplotlib has extensive text support, including support for Introduction to plotting and working with text in Matplotlib. To download the full example code Text in Matplotlib Plots # Text rendering with XeLaTeX/LuaLaTeX via the pgf backend.Customizing Matplotlib with style sheets and rcParams.Understanding the extent keyword argument of imshow.Tight layout guide (mildly discouraged).Writing a backend - the pyplot interface.Interactive figures and asynchronous programming.Matplotlib Application Interfaces (APIs).

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