Python 如果条件为真，如何更改单个条的颜色 matplotlib
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how to change the color of a single bar if condition is True matplotlib
提问by psoares
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:
我一直在用谷歌搜索是否可以只更改由 matplotlib 制作的图表中条形的颜色。想象一下这个图：
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.
假设我进行了 1 到 10 次评估，并且对于每个评估，当用户选择评估时，我都会生成一个图表。对于每个评估，这个男孩中的一个将获胜。
因此，对于每个图表，我想以不同的颜色保留获胜者栏，假设吉姆赢得了评估 1。吉姆酒吧会是红色的，而其他人是蓝色的。
I have a dictionary with the values, what I tried to do was something like this:
我有一本带有值的字典，我试图做的是这样的：
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?
有人知道这样做的方法吗？
Thanks in advance :)
提前致谢 ：）
采纳答案by GWW
You need to use colorinstead 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']
您需要使用color而不是facecolor. 您还可以将颜色指定为列表而不是标量值。所以对于你的例子，你可以有color=['r','b','b','b','b']
For example,
例如，
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.
是一个完整的示例，显示您想要什么。
To answer your comment:
要回答您的评论：
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)
回答by Paddy
for seaborn you can do something like this:
对于seaborn，您可以执行以下操作：
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)
