How to set a different color to the largest bar in a seaborn barplot

Question

I'm trying to create a barplot where all bars smaller than the largest are some bland color and the largest bar is a more vibrant color. A good example is darkhorse analytic's pie chart gif where they break down a pie chart and end with a more clear barplot. Any help would be appreciated, thank you!

Answer 1

Just pass a list of colors. Something like

values = np.array([2,5,3,6,4,7,1])    idx = np.array(list('abcdefg'))  clrs = ['grey' if (x < max(values)) else 'red' for x in values ] sb.barplot(x=idx, y=values, palette=clrs) # color=clrs) 

(As pointed out in comments, later versions of Seaborn use "palette" rather than "color")

Answer 2

The other answers defined the colors before plotting. You can as well do it afterwards by altering the bar itself, which is a patch of the axis you used to for the plot. To recreate iayork's example:

import seaborn import numpy  values = numpy.array([2,5,3,6,4,7,1])    idx = numpy.array(list('abcdefg'))   ax = seaborn.barplot(x=idx, y=values) # or use ax=your_axis_object  for bar in ax.patches:     if bar.get_height() > 6:         bar.set_color('red')         else:         bar.set_color('grey') 

You can as well directly address a bar via e.g. ax.patches[7]. With dir(ax.patches[7]) you can display other attributes of the bar object you could exploit.