Python 熊猫绘制数据框条形图，按类别使用颜色
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pandas plot dataframe barplot with colors by category
提问by jonas
I would like to use pandas to plot a barplot with diffrent colors for category in column.
我想使用熊猫为列中的类别绘制具有不同颜色的条形图。
Here is a simple example: (index is variable)
这是一个简单的例子：（索引是可变的）
df:
value group
variable
a 10 1
b 9 1
c 8 1
d 7 2
f 6 2
g 5 3
h 4 3
I would like to make a barplot with coloring on group. I would also like to specify the colors. In my original dataset I have many goups. Could someone help me with this?
我想在组上制作一个带有着色的条形图。我还想指定颜色。在我的原始数据集中，我有很多组。有人可以帮我解决这个问题吗？
采纳答案by Viktor Kerkez
Just pass a color parameter to the plot function with a list of colors:
只需将颜色参数传递给带有颜色列表的 plot 函数：
df['group'].plot(kind='bar', color=['r', 'g', 'b', 'r', 'g', 'b', 'r'])
If you want to plot the valueas bars and you also want the groupto determine the color of the bar, use:
如果要绘制valueas 条形并且还希望group确定条形的颜色，请使用：
colors = {1: 'r', 2: 'b', 3: 'g'}
df['value'].plot(kind='bar', color=[colors[i] for i in df['group']])
You can also use something like:
您还可以使用以下内容：
list(df['group'].map(colors))
Instead of the list comprehension.
而不是列表理解。
