英文:
How to plot bar graph with two column values parallely in a single figure using plotly?
问题
我有一个pandas数据框，显示在每个购物中心，男性花了多少钱，女性花了多少钱。就像这样 -
ShoppingMall MaleSpends FemaleSpends0 XX 5600.20 4500.701 YY 9000.00 100000.002 zz 7809.45 5600.89
在一个图表中，我需要绘制男性支出和女性支出。
我可以在Plotly中分别绘制这些图表 -
import plotly.express as pxfig1=px.bar(data,x='ShoppingMall',y='MaleSpends',barmode='group')fig2=px.bar(data,x='ShoppingMall',y='FemaleSpends',barmode='group')
但我需要在一个图中绘制男性和女性花费的金额。
一个截图如下所示：
英文:
I have a pandas dataframe which shows in each shopping mall, how much the males spend money and how much the females spend money. Its like this -
ShoppingMall MaleSpends FemaleSpends0 XX 5600.20 4500.701 YY 9000.00 100000.002 zz 7809.45 5600.89
In one graph I have to plot the malespends and femalespends.
I can plot the graphs separately in plotly -
import plotly.express as pxfig1=px.bar(data,x='ShoppingMall',y='MaleSpends',barmode='group')fig2=px.bar(data,x='ShoppingMall',y='FemaleSpends',barmode='group')
But I need to plot the money spent by males and females in one figure.
A screenshot is shown .
答案1
得分: 0
import plotly.graph_objects as go# 创建一个具有两个图迹的图形fig = go.Figure()# 用于MaleSpends的第一个图迹fig.add_trace(go.Bar(x=data['ShoppingMall'],y=data['MaleSpends'],name='男性支出'))# 用于FemaleSpends的第二个图迹fig.add_trace(go.Bar(x=data['ShoppingMall'],y=data['FemaleSpends'],name='女性支出'))# 更新布局以显示图例并堆叠条形图fig.update_layout(barmode='group',title_text='购物中心的性别支出',xaxis_title='购物中心',yaxis_title='支出',)# 显示图表fig.show()
英文:
import plotly.graph_objects as go# Create a figure with two tracesfig = go.Figure()# First trace for MaleSpendsfig.add_trace(go.Bar(x=data['ShoppingMall'],y=data['MaleSpends'],name='Male Spends'))# Second trace for FemaleSpendsfig.add_trace(go.Bar(x=data['ShoppingMall'],y=data['FemaleSpends'],name='Female Spends'))# Update layout to show the legend and to stack the barsfig.update_layout(barmode='group',title_text='Spending by Gender in Shopping Malls',xaxis_title='Shopping Mall',yaxis_title='Spends',)# Show the plotfig.show()
This will create a grouped bar plot where each mall has two bars side-by-side - one for MaleSpends and another for FemaleSpends. If you want a stacked bar plot where each mall has a single bar, with MaleSpends and FemaleSpends stacked on top of each other, just change barmode to 'stack' in the update_layout call.
答案2
得分: 0
在其最简单形式下，使用plotly的express函数创建代码，可以使用以下一行代码创建图形。
px.bar(df, x='ShoppingMall', y=['MaleSpends', 'FemaleSpends'], barmode='group')
英文:
At its simplest, using plotly's expres function to create the code, the graph can be created with the following one line.
px.bar(df, x='ShoppingMall', y=['MaleSpends', 'FemaleSpends'], barmode='group')
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