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17 sty 2016 · At the moment you are calling the legend function for each key in your dictionary. You don't need to do this - simply label each of the types of points on your scatter plot with the dictionary key, and then call the legend function afterwards. The following will work:
Add a legend to the upper plot by specifying ax1 as the first input argument to legend.
13 lut 2017 · I found the answer after some research of the undocumented properties of the legend. The most direct answer to the problem in the question is to set the position of the legend title back to its place. This can be done with the property Position, that is part of the hidden property NodeChildren, of the legend title.
7 gru 2023 · Customizing Plot Legends with Matplotlib. Plots on a graph gain insight from legends. The legend is made more readable and recognizable by the addition of the font, origin, and other details. Let’s explore the several methods that can be used to change the plot legends. Basic Legend with Matplotlib; Change the Legend Position and Title in ...
1 sie 2024 · Below are some examples that can see the Matplotlib interactive mode setup using Matplotlib.pyplot.legend () in Python: Add a Legend to a Matplotlib. In this example, a simple quadratic function \ ( y = x^2 \) is plotted against the x-values [1, 2, 3, 4, 5]. A legend labeled “single element” is added to the plot, clarifying the plotted data.
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: A list of Artists (lines, patches) to be added to the legend. Use this together with labels, if you need full control on what is shown in the legend and the automatic mechanism described above is not sufficient.
To create a scatter plot with a legend one may use a loop and create one scatter plot per item to appear in the legend and set the label accordingly. The following also demonstrates how transparency of the markers can be adjusted by giving alpha a value between 0 and 1.
