[英]How can I control the color and opacity of each point in a python scatter plot?
I'm looking to graph a 4D data set (X, Y, Z, intensity) using opacity to represent intensity. 我正在寻找一个使用不透明度表示强度的4D数据集(X,Y,Z,强度)的图形。 I also want the color to be dependent on the Z variable as well to better show depth. 我还希望颜色也取决于Z变量,以更好地显示深度。
Here is the relevant code so far, I am a novice when it comes to Python: 到目前为止,这是相关的代码,对于Python我是一个新手:
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x_list #list of x values as floats
y_list #list of y values as floats
z_list #list of z values as floats
i_list #list of intensity values as floats
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import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
Axes3D.scatter(ax, x_list, y_list, z_list)
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So how can I do this? 那我该怎么做呢?
I'm thinking the color could be a linear relationship between z_list and a color map (hsv for example), and opacity could be linear as well, i_list/max(i_list) or something along those lines. 我认为颜色可能是z_list和颜色图(例如hsv)之间的线性关系,而不透明度也可能是线性的,即i_list / max(i_list)或沿这些线的东西。
I would do something like the following: 我将执行以下操作:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# choose your colormap
cmap = plt.cm.jet
# get a Nx4 array of RGBA corresponding to zs
# cmap expects values between 0 and 1
z_list = np.array(z_list) # if z_list is type `list`
colors = cmap(z_list / z_list.max())
# set the alpha values according to i_list
# must satisfy 0 <= i <= 1
i_list = np.array(i_list)
colors[:,-1] = i_list / i_list.max()
# then plot
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(x_list, y_list, z_list, c=colors)
plt.show()
Here's an example with x_list = y_list = z_list = i_list
. 这是x_list = y_list = z_list = i_list
。 You can choose any of the colormaps here or make your own : 您可以在此处选择任何颜色图,也可以自己制作 :
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