英文:
Plotly chart bars are still shown in stack with barmod defined to group
问题
我想要将每个水果的total和available柱状图并排显示。
这是我使用的数据：
import plotly.express as pxdata_frame = {"fruits": ["orange", "apple", "banana", "cherry"],"total": [10, 20, 30, 25],"available": [7, 10, 27, 15],}
我使用了plotly.express，代码如下：
fig = px.bar(data_frame,x="fruits",y=["total", "available"],color="fruits",barmode="group", # 被忽略了)fig.show()
然而，柱状图仍然以stack模式显示。我在这里漏掉了什么？
提前感谢。
英文:
I want to display total and available bars side by side for each fruit.
Here is the data I'm using
import plotly.express as pxdata_frame = {"fruits": ["orange", "apple", "banana", "cherry"],"total": [10, 20, 30, 25],"available": [7, 10, 27, 15],}
And I used plotly.express as follow:
fig = px.bar(data_frame,x="fruits",y=["total", "available"],color="fruits",barmode="group", # Is ignored)fig.show()
However, bars are still shown in stack mode instead. What am I missing here?
Thanks in advance.
答案1
得分: 1
可能有一种方法可以在不将数据从宽格式转换为长格式的情况下完成此操作，但我认为将数据框转换为"melted"格式更直观。你可以使用以下代码将数据框转换为"melted"格式，其中包含variable和value列：
df_melted = df.melt(id_vars='fruits', value_vars=['total','available'])
这将得到以下长格式的数据框：
fruits variable value0 orange total 101 apple total 202 banana total 303 cherry total 254 orange available 75 apple available 106 banana available 277 cherry available 15
然后，你可以使用以下代码创建条形图：
fig = px.bar(df_melted, x='fruits', y='value', color='variable', barmode='group')
这将使Plotly能够区分每个水果中的total和available条形。
英文:
There might be a way to do this without changing your data from wide to long format, but I think it's more intuitive to melt your dataframe so that you have variable and value columns using:
df_melted = df.melt(id_vars='fruits', value_vars=['total','available'])
This gives you the following long format dataframe.
fruits variable value0 orange total 101 apple total 202 banana total 303 cherry total 254 orange available 75 apple available 106 banana available 277 cherry available 15
Then you can create the bar chart using:
fig = px.bar(df_melted, x='fruits', y='value', color='variable', barmode='group')
This will allow plotly to differentiate the between total and available bars within each fruit.
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