These are the number-line-like objects (circled in green). Each Axes has a title (set via set_title()), an x-label (set via set_xlabel()), and a y-label set via set_ylabel()). The Axes contains two (or three in the case of 3D) Axis objects (be aware of the difference between Axes and Axis) which take care of the data limits (the data limits can also be controlled via set via the set_xlim() and set_ylim() Axes methods). A given figure can contain many Axes, but a given Axes object can only be in one Figure. This is what you think of as a plot, it is the region of the image with the data space (marked as the inner blue box). In the context of matplotlib, axes is not the plural form of axis, it actually denotes the plotting area, including all axis. Question 2: Difference between “axes” and “axis” in matplotlib? This window will be just divided in 4 parts with my example.įigure2, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2) This plot 4 figures which are named ax1, ax2, ax3 and ax4 each one but on the same window. Or you can plot multiple figures like this: fig1, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2) Plot one or several figure(s) in the same window If you just want to get one graphic, you can use this way. Plot just one figure with (x,y) coordinates plt.plot(x, y) fig1, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)Īfter reading through a bunch of stackoverflow explainations, I compiled them here: Question 1: What is the difference between drawing plots using plot, axes or figure in matplotlib? Of instance to Handler as a keyword to legend.When working with python libraries, especially for visualization, I usually get confused my number of options available for plotting. On the legend() function for convenience). Which accepts a numpoints argument (numpoints is also a keyword Sake of simplicity, let's choose legend_handler.HandlerLine2D The simplest example of using custom handlers is to instantiate one of theĮxisting legend_handler.HandlerBase subclasses. With the value in the handler_map keyword.Ĭheck if the handle is in the newly created handler_map.Ĭheck if the type of handle is in the newly created handler_map.Ĭheck if any of the types in the handle's mro is in the newlyįor completeness, this logic is mostly implemented inĪll of this flexibility means that we have the necessary hooks to implementĬustom handlers for our own type of legend key. The choice of handler subclass is determined by the following rules: In order to create legend entries, handles are given as an argument to an legend ( handles =, loc = 'lower right' ) plt. add_artist ( first_legend ) # Create another legend for the second line. legend ( handles =, loc = 'upper right' ) # Add the legend manually to the Axes. plot (, label = "Line 2", linewidth = 4 ) # Create a legend for the first line. plot (, label = "Line 1", linestyle = '-' ) line2, = ax. To keep old legend instances, we must add themįig, ax = plt. To call legend() repeatedly to update the legend to the latest This has been done so that it is possible The legend() function multiple times, you will find that only one Whilst the instinctive approach to doing this might be to call Sometimes it is more clear to split legend entries across multiple plot (,, label = 'test' ) for loc in : fig. subplots ( figsize = ( 6, 4 ), layout = 'constrained', facecolor = '0.7' ) ax. legend ( loc = loc, title = loc ) fig, ax = plt. plot (,, label = 'TEST' ) # Place a legend to the right of this smaller subplot. The legend is drawn outside the Axes on the (sub)figure. Specifying "outside" at the beginning of the loc keyword argument, Sometimes it makes more sense to place a legend relative to the (sub)figure legend ( bbox_to_anchor = ( 1.05, 1 ), loc = 'upper left', borderaxespad = 0. plot (, label = "test2" ) # Place a legend to the right of this smaller subplot. 102 ), loc = 'lower left', ncols = 2, mode = "expand", borderaxespad = 0. plot (, label = "test2" ) # Place a legend above this subplot, expanding itself to # fully use the given bounding box. subplot_mosaic (, ], empty_sentinel = "BLANK" ) ax_dict.
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