
#PLOT AND SUBPLOT HOW TO#
Passing external Axes into mplfinance results in more complex code but it also provides all the power and flexibility of matplotlib for those who know how to and what to use it.The user is responsible to display the Figure by calling mplfinance.show() (or pyplot.show()).


The user is responsible to configure the size and geometry of the Figure, and size and location of the Axes objects within the Figure.When passing Axes into mplfinance, some mplfinance features may be not available, or may behave differently.There are two ways to make subplots in mplfinance: Panels Method External Axes. (code examples can be found in the External Axes notebook). Subplots is the matplotlib term for making multiple plots on the same figure. Details on how to use this feature are described below.The External Axes method of subplots allows the user to create and manage their own Figure and Axes (SubPlots), and pass Axes into mplfinance.A subdivision of a plot of land, especially one used for an agricultural experiment.
#PLOT AND SUBPLOT SERIES#
(authorship) The course of a story, comprising a series of incidents which are gradually unfolded, sometimes by unexpected means.

The Panels Method is easy to use and requires little or no knowledge of matplotlib, and no need to import matplotlib.There are two ways to make subplots in mplfinance:īelow is a brief description of each method, with links to tutorials on how to use each method: Subplots in mplfinance "Subplots" is the matplotlib term for making multiple plots on the same figure.
