<｜begin▁of▁sentence｜>### Instruction:
As an eSports coach, you'll often need to visualize and analyze data to understand game strategies and tactics. For instance, you might have a RainbowPalette with 10 colors representing different levels of player performance. To review and improve the gradient of player performance represented by the colors, you could plot the colors of the palette to visualize the progression from the first to the last color. This kind of data visualization can help you understand the distribution of performance levels and make informed coaching decisions.

If you have the RainbowPalette data, you can use Python with the networkx library to plot the colors and visualize the performance gradient.
### Response:
from igraph.drawing.colors import RainbowPalette
import matplotlib.pyplot as plt

# Create a RainbowPalette with 10 colors
palette = RainbowPalette(n=10)

# Plot the colors of the palette
fig, ax = plt.subplots()
colors = [palette.get(color_index) for color_index in range(len(palette))]
ax.imshow([colors], aspect='auto')
ax.set_yticks([])
plt.show()
<|EOT|>
