I have a horizontal bar chart where I'm supposed to turn the bars slowly from yellow to red based on the horizontal value. So the greater the X value the more the bars chart get red
(I wanted to show the plot but I couldn't upload the image of it due to my low reputation)
import matplotlib.pyplot as plt
x = [3,3,4]
y = [1,2,5]
plt.barh(x,y)
plt.show()
CodePudding user response:
I'd do something of similar, hand-made:
colorsValue = []
for value in x:
if value < LOW_TRESHOLD:
colorsValue.append('yellow')
elif value >= HIGH_TRESHOLD:
colorsValue.append('red')
else:
colorsValue.append('orange')
plt.barh(x, y, color = colorsValue)
where LOW_TRESHOLD and HIGH_TRESHOLD are values decided by you, as well as colors. List of matplotlib colors is here.
This was only a minimal example to show you the syntax. Solution of Kroshtan is good as well and more general than my home-made solution, so I advice you to use his one.
CodePudding user response:
You can pass an array in the color parameter. The values of this array can be calculated using cmap from the matplotlib documentation.
colors = [(1, 1, 0), (1, 0, 0)]
my_cmap = LinearSegmentedColormap.from_list(
'color_map', colors, N=100)
Then you scale the colors to the values you have:
rescale = lambda y: (y - np.min(y)) / (np.max(y) - np.min(y))
plt.barh(x,y,color=my_cmap(rescale(y)))
plt.show()
