mirror of
https://github.com/NohamR/Stage-2023.git
synced 2025-10-31 07:19:29 +00:00
66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
from colour import Color
|
|
import matplotlib.pyplot as plt
|
|
|
|
def rainbow_gradient(distances):
|
|
num_colors = len(distances)
|
|
colors = []
|
|
base_color = Color("green")
|
|
target_color = Color("red")
|
|
|
|
luminance_start = base_color.get_luminance()
|
|
luminance_end = target_color.get_luminance()
|
|
|
|
for i in range(num_colors):
|
|
moydist = distances[i]
|
|
t = i / (num_colors - 1) # Interpolation paramètre t
|
|
|
|
adjusted_luminance = luminance_start + (luminance_end - luminance_start) * (1 - t) * (moydist - 1) / 18
|
|
color = Color(rgb=(base_color.rgb[0] * (1 - t) + target_color.rgb[0] * t,
|
|
base_color.rgb[1] * (1 - t) + target_color.rgb[1] * t,
|
|
base_color.rgb[2] * (1 - t) + target_color.rgb[2] * t))
|
|
color.set_luminance(adjusted_luminance)
|
|
|
|
hex_code = color.hex_l
|
|
colors.append(hex_code)
|
|
|
|
return colors
|
|
|
|
distances = [0.05263158, 0.05263158, 0.05263158, 0.05263158, 0.05263158,
|
|
0.05263158, 0.05263158, 0.05263158, 0.05263158, 0.05263158,
|
|
0.05263158, 0.05263158, 0.05263158, 0.05263158, 0.05263158,
|
|
0.05263158, 0.05263158, 0.05263158, 19.0]
|
|
|
|
gradient = rainbow_gradient(distances)
|
|
|
|
# Create a figure and axis
|
|
fig, ax = plt.subplots()
|
|
|
|
# Set the background color of the plot
|
|
fig.set_facecolor('white')
|
|
|
|
# Hide the axis labels
|
|
ax.set_axis_off()
|
|
|
|
# Calculate the width and height of each color patch
|
|
width = 1.0 / len(gradient)
|
|
height = 1.0
|
|
|
|
# Iterate through the colors and plot a rectangle for each
|
|
for i, color in enumerate(gradient):
|
|
# Calculate the x-coordinate of the color patch
|
|
x = i * width
|
|
|
|
# Plot the color patch
|
|
rect = plt.Rectangle((x, 0), width, height, facecolor=color)
|
|
ax.add_patch(rect)
|
|
|
|
# Set the aspect ratio to 'auto' to ensure the patches are square
|
|
ax.set_aspect('auto')
|
|
|
|
# Set the limits of the x-axis
|
|
ax.set_xlim(0, 1)
|
|
|
|
# Display the plot
|
|
plt.show()
|
|
|