It is a bit more involved programmatically. The easiest way to do it is manually, by dragging the legend inside the figure. import matplotlib.pyplot as pltĪxLine, axLabel = ax.get_legend_handles_labels()Īll the lines handles and labels are added to lines and labels list with list extend method in case more lines and labels exist in single one subplot. You will have to play with the legend's position to achieve the desired look.
If the line pattern and labels are different among subplots but a single legend is required for all subplots, we need to get all the line handles and labels from all the subplots. Easy Fix! Make a Single Legend for All Subplots With figure.legend Method When Line Handles and Lines Are Different in Matplotlib Lines, labels = _legend_handles_labels()įig.legend(lines, labels, loc = 'upper center')īecause we have the presumption that all the subplots have the same lines and labels, therefore, that handles and labels of the last Axes could be used for the whole figure.ĭata Bars Excel. Make a Single Legend for All Subplots With figure.legend Method in Matplotlib import matplotlib.pyplot as pltĪx.plot(,, label='linear') The next line is used to display the legend on the plot.
Here is an example that creates a figure with 3 vertically stacked subplots with linked x axes. Traces of most types can be optionally associated with a single legend item in the legend.Whether or not a given trace appears in the legend is controlled via the showlegend attribute. This produces the output: We need to use the getlegendhandleslabels() method on the last axis only. The margin argument is used to control the vertical spacing between rows in the subplot grid. It is especially convenient if the lines’ pattern and labels are the same among all the subplots. The shareXx argument can be used to link the x axes of subplots in the resulting figure. In order to do this, you will need to create a global legend for the figure instead of creating a legend at the axes level (which will create a separate legend for each subplot). Matplotlib figure class has a legend method to place the legend on the figure level but not the subplot level. Sometimes you will have a grid of subplots, and you want to have a single legend that describes all the lines for each of the subplots as in the following image. The nrows and ncols arguments are relatively straightforward, but the index. index: The plot that you have currently selected. ncols: The number of columns of subplots in the plot grid. Make a Single Legend for All Subplots With figure.legend Method When Line Handles and Lines Are Different in Matplotlib We can create subplots in Python using matplotlib with the subplot method, which takes three arguments: nrows: The number of rows of subplots in the plot grid.If False, no squeezing at all is done: the returned Axes object is always a 2D array containing Axes instances, even if it ends up being 1x1. for NxM, subplots with N>1 and M>1 are returned as a 2D array. Make a Single Legend for All Subplots With figure.legend Method in Matplotlib for Nx1 or 1xM subplots, the returned object is a 1D numpy object array of Axes objects.
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