Legend pyplot scatter7/25/2023 ![]() These parameters control what visual semantics are used to identify the different subsets. We have the penguins data on ’s github page. import pandas as pd import matplotlib.pyplot as plt We will use Palmer penguins data for making the scatter plot. Let us load Pandas and Matplotlib’s pyplot. The relationship between x and y can be shown for different subsets of the data using the hue, size, and style parameters. In this tutorial, we will learn how to add right legend to a scatter plot colored by a variable that is part of the data. legend_elements ( ** kw ), loc = "lower right", title = "Price" ) plt. Draw a scatter plot with possibility of several semantic groupings. cmap ( 0.7 ), fmt = "$ ", func = lambda s : np. ![]() kw = dict ( prop = "sizes", num = 5, color = scatter. In this example, the last two scatter traces display on the second legend, 'legend2'. Specify more legends with legend'legend3', legend'legend4' and so on. For a second legend, set legend'legend2'. To have multiple legends, specify an alternative legend for a trace using the legend property. Note how we target at 5 elements here, but obtain only 4 in the # created legend due to the automatic round prices that are chosen for us. By default, all traces appear on one legend. The *fmt* ensures to show the price # in dollars. Because we want to show the prices # in dollars, we use the *func* argument to supply the inverse of the function # used to calculate the sizes from above. add_artist ( legend1 ) # Produce a legend for the price (sizes). legend_elements ( num = 5 ), loc = "upper left", title = "Ranking" ) ax. ![]() Even though there are 40 different # rankings, we only want to show 5 of them in the legend. scatter ( volume, amount, c = ranking, s = 0.3 * ( price * 3 ) ** 2, vmin =- 3, vmax = 3, cmap = "Spectral" ) # Produce a legend for the ranking (colors). subplots () # Because the price is much too small when being provided as size for ``s``, # we normalize it to some useful point sizes, s=0.3*(price*3)**2 scatter = ax. It is especially difficult with scatter plots ( wrong: see the update below ). Example 1: Python3 import matplotlib.pyplot as plt x 1,2,3,4,5 y1 2,4,6,8,10 y2 3,6,9,12,15 plt.scatter (x, y1) plt.scatter (x,y2) plt.legend ( 'x2', 'x3') plt.show () Output: Example 2: Python3 import matplotlib.pyplot as plt x 1,2,3,4,5 y1 2,4,6,8,10 y2 3,6,9,12,15 plt.scatter (x, y1) plt. Bad news is that there does not seem to be any simple way of setting equal sizes of points in the legend. uniform ( 1, 10, size = 40 ) fig, ax = plt. 5 Answers Sorted by: 103 I had a look into the source code of matplotlib. ![]() Import matplotlib.pyplot as plt import matplotlib.patches as mpatches import numpy as np x = y = categories = np.array() colormap = np.array() plt.scatter(x, y, s=100, c=colormap) pop_a = mpatches.Patch(color='#0b559f', label='Population A') pop_b = mpatches.Patch(color='#89bedc', label='Population B') plt.legend(handles=) plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_10.png') plt.Volume = np. Import matplotlib.pyplot as plt x = y = plt.scatter(x, y, c='coral', label='Class 1') x = y = plt.scatter(x, y, c='lightblue', label='Class 2') plt.legend() plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_09.png') plt.show() Add a legend to a scatter plot using "Proxy artists" How to add a legend for a scatter plot in matplotlib ? The Python matplotlib pyplot module has a function that will draw or generate a scatter plot, and the basic syntax to draw it is (x, y) x: list of arguments that represents the X-axis. 5 Answers Sorted by: 157 2D scatter plot Using the scatter method of the matplotlib.pyplot module should work (at least with matplotlib 1.2.1 with Python 2.7.5), as in the example code below. Add a legend to a scatter plot using "Proxy artists".
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