Barplot colored according a colormap?

Question

First of all, I'm pretty new to colors in Matplotlib or Seaborn. My purpose is to create a barplot with bars coloured according to a custom palette. Something like this, but with my custom palette (see below, a palette with red, orange, green and blue):

I have created my custom sequential palette using the LinearSegmentedColormap method, but I'm not able to use it in a simple plt.barplot(). Sure it's not difficult, but I can't see the way. I created the palette using the function below, got from this thread: Create own colormap using matplotlib and plot color scale

def make_colormap(seq):
"""Return a LinearSegmentedColormap
seq: a sequence of floats and RGB-tuples. The floats should be increasing
and in the interval (0,1).
"""
seq = [(None,) * 3, 0.0] + list(seq) + [1.0, (None,) * 3]
cdict = {'red': [], 'green': [], 'blue': []}
for i, item in enumerate(seq):
    if isinstance(item, float):
        r1, g1, b1 = seq[i - 1]
        r2, g2, b2 = seq[i + 1]
        cdict['red'].append([item, r1, r2])
        cdict['green'].append([item, g1, g2])
        cdict['blue'].append([item, b1, b2])

return mcolors.LinearSegmentedColormap('CustomMap', cdict)

#main#
c = mcolors.ColorConverter().to_rgb
rvb = make_colormap(
[c('red'), 0.125, c('red'), c('orange'), 0.25, c('orange'),c('green'),0.5, c('green'),0.7, c('green'), c('blue'), 0.75, c('blue')])

N = 1000
array_dg = np.random.uniform(0, 10, size=(N, 2))
colors = np.random.uniform(0, 5, size=(N,))
plt.scatter(array_dg[:, 0], array_dg[:, 1], c=colors, cmap=rvb)
plt.colorbar()
plt.show()

That returns this plot:

As far as I can understand, I can't use a colormap (object type from LinearSegmentedColormap()? ) for barplots, but colormap is the unique way I have achieved a custom sequential palette.

In summary, I want to apply the colormap of the second plot (the scatterplot) to the first plot (the barplot). For now I can't do it because the barplot() function has not an argument that accepts a LinearSegmentedColormap object type.

I'm probably making it harder than it really is, so I would appreciate any cleaner or more correct way.

Answer 1

Seaborn barplot is great for this, example:

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