Vary legend in NB

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Aug 6th, 2022
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How to vary legend in NB

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Unfortunately, Matplotlib does not make this easy: via the standard legend interface, it is only possible to create a single legend for the entire plot. If you try to create a second legend using plt. legend() or ax. legend() , it will simply override the first one.
Method 1: Using the bboxtoanchor parameter Create a plot using Matplotlib. Add a legend to the plot using the legend function. Specify the bboxtoanchor parameter with the coordinates where you want the legend to be positioned. Call the plot function to plot your data. Call the show function to display the plot.
To create a legend in Matplotlib, you can use the legend() function after plotting your data. This function adds a legend to your plot, which helps to identify different data series.
In order to place the legend outside of the plot, lets say at the center of the right side, we need to do two things. First, we need to shrink the width of the plot so that the legend fits the figure. Then, we can use the bboxtoanchor argument that offers a degree of control for manual legend placement.
To move the legend outside the plot, well use the bboxtoanchor and loc parameters of the legend function. The bboxtoanchor parameter specifies the legends position. The tuple (1.05, 1) positions the legend just outside the plots right edge. The loc parameter determines where the legends anchor point should be.
legend() in Python. The attribute Loc in legend() is used to specify the location of the legend. The default value of loc is loc= best (upper left). The strings upper left, upper right, lower left, and lower right place the legend at the corresponding corner of the axes/figure.
Multicolumn Legend By specifying the keyword argument ncol, you can have a multi-column legend. Also, mode=expand horizontally expand the legend to fill the axes area. See legenddemo3.py for example.
How to put text outside Python plots? Create data points for x and y. Initialize the text position of x and y. To plot x and y, use plot() method with color=red. Use text() method to add text to figure. To display the figure, use show() method.

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