#MATPLOTLIB SUBPLOT LEGEND HOW TO#
#MATPLOTLIB SUBPLOT LEGEND FULL#
#MATPLOTLIB SUBPLOT LEGEND ANDROID#

#MATPLOTLIB SUBPLOT LEGEND HOW TO#

The following code shows how to place the legend above the Matplotlib plot: import matplotlib.pyplot as plt 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. 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 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. 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. The strings ‘upper left’, ‘upper right’, ‘lower left’, ‘lower right’ place the legend at the corresponding corner of the axes/figure.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. The default value of loc is loc=”best” (upper left). The attribute Loc in the legend() is used to specify the location of the legend. Creating the LegendĪ Legend can be created using the legend() method. It generally appears as the box containing a small sample of each color on the graph and a small description of what this data means. In simple terms, it reflects the data displayed in the graph’s Y-axis.

Make subplots span multiple grid rows and columns in MatplotlibĪ legend is an area describing the elements of the graph.

Matplotlib Sub plotting using object oriented API.

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How to Create Different Subplot Sizes in Matplotlib?.How to Turn Off the Axes for Subplots in Matplotlib?.How to Set a Single Main Title for All the Subplots in Matplotlib?.How to Add Title to Subplots in Matplotlib?.How to create multiple subplots in Matplotlib in Python?.Refer to the below articles to get detailed information about subplots It is the overall window or page on which everything is drawn.Ĭlass (figsize=None, dpi=None, facecolor=None, edgecolor=None, linewidth=0.0, frameon=None, subplotpars=None, tight_layout=None, constrained_layout=None) A given figure may contain many axes but given axes can only be in one figure.įigure class is the top-level container that contains one or more axes. You might confuse axes as the plural of axis but it is an individual plot or graph. Axes: This class is the most basic and flexible component for creating sub-plots.A figure object can be considered as a box-like container that can hold one or more axes. Figure: This class is the top-level container for all the plots means it is the overall window or page on which everything is drawn.Don’t worry about these terms we will study them in detail in the below section but let’s take a brief about these terms. Matplotlib take care of the creation of inbuilt defaults like Figure and Axes. 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). Refer to the below articles to get detailed information about Pyplot and functions associated with this class. 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. ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.Fortunately this is easy to do using the () function combined with the bboxtoanchor argument. DevOps Engineering - Planning to Production How to Place the Legend Outside of a Matplotlib Plot Often you may want to place the legend of a Matplotlib plot outside of the actual plot.Python Backend Development with Django(Live).

#MATPLOTLIB SUBPLOT LEGEND ANDROID#

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Matplotlib subplot legend