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Add a Legend to the 3D Scatter Plot in Matplotlib import matplotlib.pyplot as plt This process creates a figure with two scatter plots and a legend placed at the center left of the axes’ border-box. We can also directly pass a tuple of labels as an argument to the legend() method and change the legend’s position using the loc parameter of the legend() method. Then, we create the legend in the figure using the legend() function and finally display the entire figure using the show() method. We assign the label to each scatter plot used as a tag while generating the legend. We have two separate scatter plots in the figure: one represented by x and another by the o mark. Add a Legend to the 2D Scatter Plot in Matplotlib import numpy as np The scatter() function plots one dot for each observation. We can generate a legend of scatter plot using the function. With Pyplot, you can use the scatter() function to draw a scatter plot. Legend is simply the description of various elements in a figure.
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Is it possible to provide a list of classes (instead of colors) and then pass a dict like mapping with class -> color?įrom lors import from_levels_and_colorsĬ = np.random.randint(0, n_cats, n).astype(str) What I would like to do is create a scatter plot with custom colors for every class, with a corretly labeled legend and not use loops and the label argument. What would be helpful for me is that the list of lines is returned so i can map the labels by myself.īut maybe I am just using scatter incorretly in this instace. can you tell what exactly you would expect the legend to show in the above example case? Possibly we might think about extending the functionality, but for this it would be good to collect use cases. So tried implementing it in for loop, but only last one got rendered properly. The reason is that in case you specify the scatter colors as a simple list of colors, no mapping is happening, and therefore we cannot know what to show in the legend (other than maybe the color itself?). Just like we create pairplot but as pairplot with large number of variables will take lot of time and computing memory, it is required to draw scatter plot containing all the variables with target variable. In what other manner could I use the c argument then? I found this warning not helpful because I was using the same parameter in both examples Make sure to specify the values to be colormapped via the c argument. \matplotlib\collections.py:960: UserWarning: Collection without array used.
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That is expected, and there is a warning about it. my example was slightly different before posting. I guess you meant to say that the legend_elements of scatter1 is empty, right?