Barplot colored according a colormap?

Seaborn barplot is great for this, example:

ax = sns.barplot("size", y="total_bill", data=tips, palette="Blues_d")

To obtain a barplot with the bars colored according to a colormap you can use the color argument of bar(x,y, color=colors), where colors is a list of length number of bars, containing all the colors. I.e. the ith entry in that list is the color for the ith bar.
In order to create this list from the colormap, you need to call the colormap with the respective value.

import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import numpy as np

clist = [(0, "red"), (0.125, "red"), (0.25, "orange"), (0.5, "green"), 
         (0.7, "green"), (0.75, "blue"), (1, "blue")]
rvb = mcolors.LinearSegmentedColormap.from_list("", clist)

N = 60
x = np.arange(N).astype(float)
y = np.random.uniform(0, 5, size=(N,))

plt.bar(x,y, color=rvb(x/N))
plt.show()