Note that the loc argument tells Matplotlib to place the upper left corner of the legend line at the (x,y) coordinates of (1,1) in the plot. Matplotlib Legend Location. Legend could be placed outside the plot in the Matplotlib by using bbox_to_anchor. Typically, when visualizing more than one variable, you'll want to add a legend to the plot, explaining what each variable represents. Does anyone know how to do it? The following code shows how to do it. By default, matplotlib draws the legend in the ‘best’ location i.e. Edited: I am actually looking for a way to do it through pandas' df.plot(), not via plt.legend(loc='lower left') I know how to set the legend location of matplotlib plot with plt.legend(loc='lower left'), however, I am plotting with pandas method df.plot() and need to set the legend location to 'lower left'. One of these subplots is giving me some trouble, as none of the axes corners or centers are free (or can be freed up) for placing the legend. Active 5 years ago. bbox means bounding box that accommodates the legend. matplotlib legend location numbers. Ask Question Asked 8 years, 7 months ago. bbox_to_anchor specifies the legend box’s location. I am beginning to use Python for my scientific computing, and I am really liking it a lot, however I am confused by a feature of the matplotlib.pylab.legend function. To change the location of a legend in matplotlib, use the loc keyword argument in plt.legend(). Active 8 years, 7 months ago. Example. the place that overlaps the least with the lines drawn. Change legend location. To force another location, set parameter loc using location a string (e.g. Example 2: Place Legend in Bottom Right Corner. 'upper left' or 'lower right') as argument. 8. You can move a legend after automatically placing it by drawing it, and then getting the bbox position. Use the loc argument to plt.legend() to change the legend position. I'm creating a figure with multiple subplots. Here's an example: import matplotlib.pyplot as plt import numpy as np # Plot data x = np.linspace(0,1,100) y = x**2 fig = plt.figure() ax = fig.add_subplot(221) #small subplot to show how the legend has moved. Viewed 55k times 43. A legend is an area describing the elements of the graph. In this article, we'll take a look at how to add a legend to a Matplotlib plot. Code Example. plt.legend(bbox_to_anchor=(1.05, 1)) It places the legend at location … Introduction Matplotlib is one of the most widely used data visualization libraries in Python. 4. The attribute Loc in legend() is used to specify the location of the legend.Default value of loc is loc=”best” (upper left). The following code shows how to place the legend in the bottom right corner outside of a Matplotlib plot: Sometimes it is necessary or desirable to place the legend outside the plot. Ask Question Asked 6 years, 7 months ago. 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