how to change the color of a single bar if condition is True matplotlib

Question

I've been googleing to find if it's possible to change only the color of a bar in a graph made by matplotlib. Imagine this graph:

let's say I've evaluation 1 to 10 and for each one I've a graph generate when the user choice the evaluation. For each evaluation one of this boys will win.
So for each graph, I would like to leave the winner bar in a different color, let's say Jim won evaluation1. Jim bar would be red, and the others blue.

I have a dictionary with the values, what I tried to do was something like this:

for value in dictionary.keys(): # keys are the names of the boys     if winner == value:         facecolor = 'red'     else:         facecolor = 'blue'  ax.bar(ind, num, width, facecolor=facecolor) 

Anyone knows a way of doing this?

Thanks in advance :)

Answer 1

You need to use color instead of facecolor. You can also specify color as a list instead of a scalar value. So for your example, you could have color=['r','b','b','b','b']

For example,

import numpy as np import matplotlib.pyplot as plt  fig = plt.figure() ax = fig.add_subplot(111)  N = 5 ind = np.arange(N) width = 0.5 vals = [1,2,3,4,5] colors = ['r','b','b','b','b'] ax.barh(ind, vals, width, color=colors)  plt.show() 

is a full example showing you what you want.

To answer your comment:

colors = [] for value in dictionary.keys(): # keys are the names of the boys     if winner == value:         colors.append('r')     else:         colors.append('b')  bar(ind,num,width,color=colors) 

Answer 2

for seaborn you can do something like this:

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) 

for matplotlib:

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 ] plt.bar(idx, values, color=clrs, width=0.4) plt.show()