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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. 3 mar 2023 · Use a library called Openpyxl to read and write Excel files using Python; Create arithmetic operations and Excel formulas in Python; Manipulate Excel worksheets using Python; Build visualizations in Python and save them to an Excel file; Format Excel cell colors and styles using Python

  4. 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.

  5. 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 ...

  6. After committing your Python formulas, Python in Excel returns the scatter plot visualization as an image object. Select the card icon in the image object cell to see a preview of the visualization. Note: If you encounter any errors, see Troubleshoot Python in Excel errors for more information.

  7. 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.

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