PyPlot：基于目标值的彩色散点图数据

Question

I have a data frame with 2 dimensions. ie

data = [[  7.08535569   5.20423916]
 [ -6.12292297  -9.79831639]
 [ -0.14405156   0.02112219]
 ...
 [ -2.93838878   2.4744518 ]
 [  8.07134259 -10.8165695 ]
 [  5.14161567   2.68737039]]

I also have a target value for each index ie

target = [-1, 1, 1, -1 ... -1, 1, -1, -1]

What is the easiest way to use PyPlot to color code the points based on their target value?

Currently I have

X = data[:,0]
y = data[:,1]

plt.plot(X, y, 'ro')
plt.show()

Answer 1

Use scatter , which accepts additional arguments for color map:

...

data = [[  7.08535569   5.20423916]
 [ -6.12292297  -9.79831639]
 [ -0.14405156   0.02112219]
 ...
 [ -2.93838878   2.4744518 ]
 [  8.07134259 -10.8165695 ]
 [  5.14161567   2.68737039]]

...

plt.scatter(x, y, c=target, s=500, cmap='gray')
plt.show()

...

References:

Matplotlib scatterplot; colour as a function of a third variable