Python 中的 Matplotlib.colors.hsv_to_rgb()
原文:https://www.geesforgeks.org/matplotlib-colors-HSV_to_RGB-in-python/
Matplotlib 是 Python 中一个惊人的可视化库，用于数组的 2D 图。Matplotlib 是一个多平台数据可视化库，构建在 NumPy 数组上，旨在与更广泛的 SciPy 堆栈一起工作。
matplotlib.colors.hsv_to_rgb()
matplotlib.colors.hsv_to_rgb()函数用于将 hsv 值转换为 rgb。
语法:matplotlib.colors.HSV_to_RGB(HSV)
参数:
- hsv: 它是一个类似数组的参数，形式为(…，3)，其中所有的值都假设在 0 到 1 的范围内。
返回:
- rgb: 它以(…，3)的形式返回一个数组，该数组由转换为 0 到 1 范围内的 rgb 值的颜色组成。
例 1:
import matplotlib.pyplot as plt
import matplotlib.colors
import numpy as np
# helper function to find
# mid-points
def helper(z):
k = ()
for i in range(z.ndim):
z = (z[k + np.index_exp[:-1]] + z[k + np.index_exp[1:]]) / 2.0
k += np.index_exp[:]
return z
# dummy coordinates with rgb
# values attached with each
s, alpha, x = np.mgrid[0:1:11j,
0:np.pi*2:25j,
-0.5:0.5:11j]
a = s*np.cos(alpha)
b = s*np.sin(alpha)
sc, alphac, xc = helper(s), helper(alpha), helper(x)
# wobbly torus about [0.7, *, 0]
sphere = (sc - 0.7)**2 + (xc + 0.2*np.cos(alphac*2))**2 < 0.2**2
# combining the color components
hsv = np.zeros(sphere.shape + (3,))
hsv[..., 0] = alphac / (np.pi*2)
hsv[..., 1] = sc
hsv[..., 2] = xc + 0.5
#the hsv to rgb function
plot_colors = matplotlib.colors.hsv_to_rgb(hsv)
# and plot everything
figure = plt.figure()
axes = figure.gca(projection='3d')
axes.voxels(a, b, x, sphere,
facecolors=plot_colors,
edgecolors=np.clip(2*plot_colors - 0.5, 0, 1),
linewidth=0.5)
plt.show()
输出:
例 2:
from matplotlib.colors import hsv_to_rgb
# sample squares for example
first_square = np.full((50, 50, 3),
fill_value ='698',
dtype = np.uint8) / 255.0
second_square = np.full((50, 50, 3),
fill_value ='385',
dtype = np.uint8) / 255.0
plt.subplot(1, 2, 1)
plt.imshow(hsv_to_rgb(first_square))
plt.subplot(1, 2, 2)
plt.imshow(hsv_to_rgb(second_square))
plt.show()
输出:
