blocks|key|2752312|text|试试这个代码片段。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2752313|此代码允许您将任意颜色设置到您的芭蕾中。|2752314|for+i+in+range(0,+len(grouped.short_name)%2B1):
++++l.append(tuple(np.random.choice(range(0,+2),+size=3)))
++++++
plt.bar(grouped.short_name,+grouped.overall,+color=l)|code-block|syntax|javascript|2752315|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|L|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|M|8|@]|9|@]|A|$G|H]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

Try this code snippet.
This code allows you to set random colors to your barplot.
<pre><code>for i in range(0, len(grouped.short_name)+1):
 l.append(tuple(np.random.choice(range(0, 2), size=3)))
 
plt.bar(grouped.short_name, grouped.overall, color=l)
</code></pre>

blocks|key|3284940|text|在绘制图表时，您应该得到条形图的列表，然后根据联赛名称更改条形图的颜色。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3284941|plt.figure()
bars+=+plt.bar(short_name,+overall)

for+i,+bar+in+enumerate(bars):
++++if+"English"+in+league_name[i]:
++++++++bar.set_color('r')

plt.show()|code-block|syntax|javascript|3284942|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

You should get the list of bars when plotting the graph, then change the bar color according to the league name.
<pre><code>plt.figure()
bars = plt.bar(short_name, overall)

for i, bar in enumerate(bars):
 if &quot;English&quot; in league_name[i]:
 bar.set_color('r')

plt.show()
</code></pre>

blocks|key|3284965|text|我使用seaborn并使用hue参数。你需要确保你的球员的短名字是唯一的。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3284966|import+pandas+as+pd
import+matplotlib.pyplot+as+plt
import+seaborn+as+sns

data+=+{'league_name':['A','A','A','B','C','C','C'],
++++++++'club_name':['Club+1','Club+1',+'Club+1','Club+2',+'Club+3',+'Club+3',+'Club+3'],
++++++++'short_name':['Joe','Jon','Jack','Ryan','Peter','Steve','Paul'],
++++++++'overall':[83,88,87,90,87,93,81]}

df+=+pd.DataFrame(data)




ax+=+sns.barplot(x='short_name',+y='overall',+data=df,+hue='club_name',+dodge=False)
plt.title("football+players+with+80%2B+rating")
plt.xticks(rotation=90)
plt.ylabel("overall+rating")
plt.legend(bbox_to_anchor=(1.05,+1),+loc='upper+left',+borderaxespad=0)|code-block|syntax|javascript|3284967|​|3284968|📷|atomic|3284969|3284970|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/31d1f765d050de8efe1caac4e91db783.png|imageAlt^0|3|7|D|3|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@$9|10|A|11|B|C]|$9|12|A|13|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|14|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|15|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|16|8|@]|D|@$9|17|A|18|1|19]]|E|$]]|$1|P|3|L|5|6|7|1A|8|@]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|1B|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X|Y|-4]]]]

I'd use <code>seaborn</code> and use the <code>hue</code> parameter. You need to make sure your player short names are unique.
<pre><code>import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

data = {'league_name':['A','A','A','B','C','C','C'],
 'club_name':['Club 1','Club 1', 'Club 1','Club 2', 'Club 3', 'Club 3', 'Club 3'],
 'short_name':['Joe','Jon','Jack','Ryan','Peter','Steve','Paul'],
 'overall':[83,88,87,90,87,93,81]}

df = pd.DataFrame(data)




ax = sns.barplot(x='short_name', y='overall', data=df, hue='club_name', dodge=False)
plt.title(&quot;football players with 80+ rating&quot;)
plt.xticks(rotation=90)
plt.ylabel(&quot;overall rating&quot;)
plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0)
</code></pre>
<a href="https://i.stack.imgur.com/uyC68.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/uyC68.png" alt="enter image description here" /></a>

blocks|key|3189390|text|谢谢你的回复。经过一番研究，我想出了这个答案：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3189391|import+random
leagues=grouped.league_name.unique()
plt.figure(figsize=(14,5))
for+l+in+leagues:
++++rgb+=+(random.random(),+random.random(),+random.random())
++++plt.bar(grouped[grouped.league_name==l].short_name,grouped[grouped.league_name==l].overall,color=[rgb],label=l)
++++plt.xticks(rotation=90)
++++plt.title("players+with+80%2B+rating")
++++plt.legend(bbox_to_anchor=(1,1),fontsize=6)
++++def+value_labels(y):
++++++++for+i+in+range(len(y)):
++++++++++++plt.text(i,round(y.iloc[i]),round(y.iloc[i]),size=7,ha="center",va="bottom",rotation=0)
++++value_labels(grouped.overall)
plt.show()|code-block|syntax|javascript|3189392|结果如下：|3189393|​|3189394|📷|atomic|offset|length|3189395|3189396|它伴随着某种我不明白的警觉。不过，我得到了想要的结果。|3189397|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/1bb376d38baf8a3b446a9f6592013c22.png|imageAlt^0|0|0|0|0|0|1|0|0|0|0^^$0|@$1|2|3|4|5|6|7|11|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|12|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|13|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|14|8|@]|9|@]|A|$]]|$1|K|3|L|5|M|7|15|8|@]|9|@$N|16|O|17|1|18]]|A|$]]|$1|P|3|J|5|6|7|19|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|1A|8|@]|9|@]|A|$]]|$1|S|3|-4|5|6|7|1B|8|@]|9|@]|A|$]]]|T|$U|$5|V|W|X|A|$Y|Z|10|-4]]]]

Thanks for the responses. After some research I came up with this answer:
<pre><code>import random
leagues=grouped.league_name.unique()
plt.figure(figsize=(14,5))
for l in leagues:
 rgb = (random.random(), random.random(), random.random())
 plt.bar(grouped[grouped.league_name==l].short_name,grouped[grouped.league_name==l].overall,color=[rgb],label=l)
 plt.xticks(rotation=90)
 plt.title(&quot;players with 80+ rating&quot;)
 plt.legend(bbox_to_anchor=(1,1),fontsize=6)
 def value_labels(y):
 for i in range(len(y)):
 plt.text(i,round(y.iloc[i]),round(y.iloc[i]),size=7,ha=&quot;center&quot;,va=&quot;bottom&quot;,rotation=0)
 value_labels(grouped.overall)
plt.show()
</code></pre>
Here is the result:
<a href="https://i.stack.imgur.com/RGJZA.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/RGJZA.png" alt="image" /></a>
It comes with some kind of alert which I don't understand. I got the desired result though.

I have created this table:<a href="https://i.stack.imgur.com/Ji7br.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Ji7br.png" alt="table" /></a>
There are football players from every league whose overall rating is more than 80.
I also created a bar graph which looks like this:<a href="https://i.stack.imgur.com/PwAhv.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/PwAhv.png" alt="graph" /></a>
Code I have written is this:
<pre><code>plt.figure(figsize=(15,5))
plt.bar(grouped.short_name,grouped.overall)
plt.title(&quot;football players with 80+ rating&quot;)
plt.xticks(rotation=90)
plt.ylabel(&quot;overall rating&quot;)
plt.show()
</code></pre>
But I want the graph to have columns of different colors based on the league player represents.
For example: players from Seria A be Green, players from Bundesliga - Red and etc. I also want the graph to have legend which shows which color corresponds to which league.
How can I do this?

How to set different colors on matplotlib bar graph based on the group of data?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我创造了这张桌子：​每个联赛都有80名以上的足球运动员。我还创建了一个条形图，如下所示：​我写的代码是：plt.figure(figsize=(15,5))plt.bar(grouped.short_name,grouped.overall)plt.title("football players with 80+ ra...

问如何根据数据组在matplotlib条形图上设置不同的颜色？
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问如何根据数据组在matplotlib条形图上设置不同的颜色？EN