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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. 1 dzień temu · I loaded a small dataframe from a Power Query I had made previously, and in another cell I made a plot consisting of several subplots charts using Matplotlib. Worked like a charm. After a few days though, the processing of the code slowed down like mad. I joined the Preview channel. Yesterday Python execution even completely stopped.

  4. 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.

  5. In this case, we can compose a legend using Matplotlib objects that aren't explicitly tied to the data that was plotted. For example: from matplotlib.lines import Line2D custom_lines = [ Line2D ([ 0 ], [ 0 ], color = cmap ( 0.

  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. To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. For example: ax.plot( [1,2,3])ax.plot( [5,6,7])ax.legend( ['First line','Second line']) Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to the legend.

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