There's no need to manually set the colors. Instead, specify a grayscale colormap...
import numpy as np
import matplotlib.pyplot as plt
# Generate data...
x = np.random.random(10)
y = np.random.random(10)
# Plot...
plt.scatter(x, y, c=y, s=500)
plt.gray()
plt.show()
Or, if you'd prefer a wider range of colormaps, you can also specify the cmap
kwarg to scatter
. To use the reversed version of any of these, just specify the "_r
" version of any of them. E.g. gray_r
instead of gray
. There are several different grayscale colormaps pre-made (e.g. gray
, gist_yarg
, binary
, etc).
import matplotlib.pyplot as plt
import numpy as np
# Generate data...
x = np.random.random(10)
y = np.random.random(10)
plt.scatter(x, y, c=y, s=500, cmap='gray')
plt.show()