在绘图中绘制分组的 pandas 数据 [英] Plotting a grouped pandas data in plotly

问题描述

我有一个熊猫数据框，看起来像这样:

I have a pandas dataframe which looks like this:

    A       B
1   USA     Y
3   USA     Y 
4   USA     N
5   India   Y
8   India   N
12  USA     N
14  USA     Y
19  USA     Y   

我想为此数据帧创建一个countplot.也就是说，该图在X-axis上具有国家名称，在Y-axis上具有每个类别的计数.我知道我可以像这样在seaborn中做到这一点:

I want to make a countplot for this dataframe. That is, the plot will have country names on X-axis and the counts for each category on Y-axis. I know I can do this in seaborn like this:

sns.countplot(x='A', data=df, hue='B')

但这不是交互式情节.我想在plotly中实现相同的目的，但是我很难弄清楚.有人可以帮我吗?

But this will not be an interactive plot. I want to achieve the same thing in plotly but I am having a hard time figuring it out. Can anyone please help me out?

推荐答案

使用plotly 3，您可以执行以下操作:

Using plotly 3 you can do something like this:

from plotly import graph_objs as go

fig = go.Figure()
for name, group in df.groupby('B'):
    trace = go.Histogram()
    trace.name = name
    trace.x = group['A']
    fig.add_trace(trace)

您还可以通过设置trace.marker.color属性来更改其他属性，例如颜色.

you can also change other properties like the colors by setting trace.marker.color attribute.

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