如何在Plotly Python中解开堆放的bargraph？

发布于 2025-02-12 06:52:11 字数 465 浏览 0 评论 0原文

我正在使用PX栏图，在我的数据框架中，有重复的行将分配为X到bar绘图。默认情况下，条形图将它们堆叠在一起，更改Barmode无济于事。我想如下屏幕上的屏幕上分开绘制它们。 Excel会做到的方式。先感谢您。

import plotly.express as px
abc=np.random.randint(1,30, 15)
df=pd.DataFrame(abc, columns=['v1'])
df['v2']=list('abc'*5)
fig = px.bar(df, x='v2',y='v1')
fig

原文

I'm using px bar plot and in my dataframe there are repeating rows which will be assigned as x to bar plot.
By default bar plots stacks them, and changing barmode doesn't help.
I want to draw them seperatly as shown in screen below. The way excel would do it.
Thank you in advance.

import plotly.express as px
abc=np.random.randint(1,30, 15)
df=pd.DataFrame(abc, columns=['v1'])
df['v2']=list('abc'*5)
fig = px.bar(df, x='v2',y='v1')
fig

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听风念你 2025-02-19 06:52:12

在这种情况下，我认为最好将X轴指定为数据框架的索引，并使用列数据更新轴标签。

import plotly.express as px
import numpy as np

abc=np.random.randint(1,30, 15)
df=pd.DataFrame(abc, columns=['v1'])
df['v2']=list('abc'*5)
fig = px.bar(df, x=df.index,y='v1')

fig.update_xaxes(title_text='v2', tickvals=df.index, ticktext=df['v2'].tolist())
fig.show()

In such a case, I think it would be better to specify the x-axis as the index of the data frame and update the axis labels with the column data.

import plotly.express as px
import numpy as np

abc=np.random.randint(1,30, 15)
df=pd.DataFrame(abc, columns=['v1'])
df['v2']=list('abc'*5)
fig = px.bar(df, x=df.index,y='v1')

fig.update_xaxes(title_text='v2', tickvals=df.index, ticktext=df['v2'].tolist())
fig.show()