Fill in legend in zip

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Aug 6th, 2022
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How to fill in legend in zip

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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.
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.
A legend is used to describe elements for a particular area of a graph. Python has a function called legend() which is used to place a legend on the axis. The legend function has an attribute called loc which is used to denote the location of the legend. The default value of attribute loc is upper left.
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.
Moving the Legend Around You can do this by passing the loc argument to the plt. legend() function. Each of these loc values is self-explanatory and places the legend in the respective position on the plot.
How to put a legend outside the plot with Pandas? Make a dictionary d with keys Column1 and Column2. Make a data frame using DataFrame (d). Plot the data frame with a list of styles. Using legend(), place a legend on the figure. To display the figure, use the show() method.
To position the legend outside the plot, you can set the loc parameter to a value that is not within the plot area, such as upper left or upper right . In this example, the legend is positioned outside the plot in the upper left corner.

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