Put in legend in AMI

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How to put legend outside plot in Python?

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.

How do you add a legend to a 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.

How to set legend in subplots?

Following are the approaches we will use for displaying legend in the subplot in Matplotlib: First, we will use the subplots() function for creating subplots in a bigger plot. Then, we will use the legend() function for adding a label to the curves. At last, we will show the plots by using the show()

How to manually add a legend with a color box on a Matplotlib figure?

We do this by creating a patch using the mpatches. Patch() function, which takes in several arguments such as the color of the patch, the label to display in the legend, and additional parameters like linewidth and alpha. Then, we create a colorbox patch with a red color and a label of Example Legend.

How to manually set legend in Matplotlib?

Manually add legend Items Python Matplotlib Set the X-axis label using plt. Set the Y-axis label using plt. Draw lines using plot() method. Location and legend drawn flags can help to find a location and make the flag True for the border. Set the legend with blue and orange elements. To show the figure use plt.

How do I manually position the legend in Matplotlib?

The `loc` parameter is another option for moving the legend in Matplotlib. It allows you to specify a string that represents the location of the legend within the plot area. Some of the common values for `loc` include `upper left`, `upper right`, `lower left`, `lower right`, and `center`.

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