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  1. To place the legend outside the plot area, use loc and bbox_to_anchor keywords of legend(). For example, the following code will place the legend to the right of the plot area: legend(loc="upper left", bbox_to_anchor=(1,1)) For more info, see the legend guide

  2. 9 maj 2014 · To display the legend outside of the plot in matplotlib, you can use the bbox_to_anchor papameter along with the loc parameter of the legend function, here's how you can modify your code to achieve that: df3.iloc[0:30].plot.area(alpha=0.4) plt.legend(loc='upper left', bbox_to_anchor=(1, 1)) plt.show()

  3. 26 lis 2022 · In the Matplotlib library, there’s a function called legend () which is used to Place a legend on the axes. The attribute Loc in legend () is used to specify the location of the legend. The default value of loc is loc= “best” (upper left). Put the legend outside the plot.

  4. matplotlib.pyplot.legend(*args, **kwargs)[source] #. Place a legend on the Axes. Call signatures: legend()legend(handles,labels)legend(handles=handles)legend(labels) The call signatures correspond to the following different ways to use this method: 1. Automatic detection of elements to be shown in the legend.

  5. Understanding how to position legends, whether inside or outside a chart, can enhance data interpretation. This article offers a comprehensive guide on leveraging the legend() function in matplotlib for enhancing your data visualizations.

  6. 23 lis 2014 · This blog shows how to plot data from Excel using matplotlib and PyXLL so that Excel can continue to be used while a plot window is active, and so that same window can be updated whenever the data in Excel is updated.

  7. ucl = ['upper', 'center', 'lower'] lcr = ['left', 'center', 'right'] fig, ax = plt. subplots (figsize = (6, 4), layout = 'constrained', facecolor = '0.7') ax. plot ([1, 2], [1, 2], label = 'TEST') # Place a legend to the right of this smaller subplot. for loc in ['outside upper left', 'outside upper center', 'outside upper right', 'outside ...

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