Note that the mode argument tells Matplotlib to expand the legend to the length of the plot and the ncol argument tells Matplotlib to place the legend labels in 2 columns. legend(bbox_to_anchor=(0, 1, 1, 0), loc=" lower left", mode=" expand", ncol= 2) The following code shows how to place the legend in the bottom right corner outside of a Matplotlib plot: import matplotlib.pyplot as plt create plot plt.subplot(211) plt.plot( 2, 4, 6, label'First Data') plt.plot( 6, 4, 2, label'Second Data') place legend in top right corner plt.legend(bboxtoanchor (1,0), loc'lower left') show. Suppose we wanted to create a legend which has an entry for some data which is represented by a red color: import matplotlib.patches as mpatches import matplotlib.pyplot as plt fig, ax plt.subplots() redpatch mpatches. It is a bit more involved programmatically. The easiest way to do it is manually, by dragging the legend inside the figure. 0.0 is at the base the legend text, and 1.0 is at the top. scatteryoffsets iterable of floats, default: 0.375, 0.5, 0.3125 The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. The following code shows how to place the legend above the Matplotlib plot: import matplotlib.pyplot as plt You will have to play with the legends position to achieve the desired look. The number of marker points in the legend when creating a legend entry for a PathCollection (scatter plot). I dont want the subplots to have legends but instead the figure to have an overall legend. Method 2: Using setvisible() Example 1: By using ax.getlegend().setvisible(False) method, legend can be removed from figure in matplotlib. The first subplot will still have a legend. Note that the loc argument tells Matplotlib to place the lower left corner of the legend line at the (x,y) coordinates of (1,0) in the plot. I am trying to create a figure of subplots. In the above figure, we removed the legend for the second subplot specifically. legend(bbox_to_anchor=(1,0), loc=" lower left") The following code shows how to place the legend in the bottom right corner outside of a Matplotlib plot: import matplotlib.pyplot as plt Example 2: Place Legend in Bottom Right Corner for row1, col1, showlegend: True for row1, col1, showlegend: True for row2, col1, showlegend: False for row2, col1, showlegend: True. 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. Here, Two stacked subplot with 3 grouped legends with the help of one of the parameters that are showlegend: True/False. legend(bbox_to_anchor=(1,1), loc=" upper left") The following code shows how to place the legend in the top right corner outside of a Matplotlib plot: import matplotlib.pyplot as plt Example 1: Place Legend in Top Right Corner This tutorial shows several examples of how to use this function in practice. Often you may want to place the legend of a Matplotlib plot outside of the actual plot.įortunately this is easy to do using the () function combined with the bbox_to_anchor argument.
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