Matplotlib: Adjust legend location/position. To change the location of a legend in matplotlib, use the loc keyword argument in plt.legend(). In this article, we'll take a look at how to add a legend to a Matplotlib plot. Edited: I am actually looking for a way to do it through pandas' df.plot(), not via plt.legend(loc='lower left') In this Python Programming video tutorial you will learn about legend function of pyplot module in matplotlib package in detail. 8. Active 5 years ago. 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'. Legend could be placed outside the plot in the Matplotlib by using bbox_to_anchor. Ask Question Asked 6 years, 7 months ago. The following code shows how to do it. 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. Active 8 years, 7 months ago. You can move a legend after automatically placing it by drawing it, and then getting the bbox position. Change legend location. Viewed 47k times 13. In the matplotlib library, there’s a function called legend() which is used to Place a legend on the axes. 4. I'm creating a figure with multiple subplots. Does anyone know how to do it? Viewed 55k times 43. the place that overlaps the least with the lines drawn. 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. To force another location, set parameter loc using location a string (e.g. Fortunately, Matplotlib provides a simple API for manually placing legends, and it even supports placing legends outside the plot area altogether. Sometimes it is necessary or desirable to place the legend outside the plot. Example. 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. A legend is an area describing the elements of the graph. plt.legend(bbox_to_anchor=(1.05, 1)) It places the legend at location … 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. 'upper left' or 'lower right') as argument. Example 2: Place Legend in Bottom Right Corner. The attribute Loc in legend() is used to specify the location of the legend.Default value of loc is loc=”best” (upper left). Introduction Matplotlib is one of the most widely used data visualization libraries in Python. Matplotlib Legend Location. The following code shows how to place the legend in the bottom right corner outside of a Matplotlib plot: By default, matplotlib draws the legend in the ‘best’ location i.e. matplotlib legend location numbers. Use the loc argument to plt.legend() to change the legend position. loc can be a string or a pair of coordinates. Ask Question Asked 8 years, 7 months ago. Code Example. bbox means bounding box that accommodates the legend. If you don't provide a location for the legend, matplotlib tries to figure out by itself where it should place it. Typically, when visualizing more than one variable, you'll want to add a legend to the plot, explaining what each variable represents. 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