[英]Subplots by variable ID on Plotly Express with Python
I have plot like this:我有这样的 plot :
var_names = [i for i in test_df.variable.unique()]
var_names.sort()
fig = px.scatter(test_df, x='date', y='value', color='variable', category_orders={'variable': var_names},
template="ggplot2", title='Median of access',
labels={'value': 'Median of access on the week', 'date': 'Week'}
).update_traces(mode='markers+lines')
fig.show()
And my dataframe is:而我的 dataframe 是:
test_df = pd.DataFrame({
'ID':list('aabdee'),
'date':['2020-03-22', '2020-03-22', '2020-03-29', '2020-03-22','2020-03-22', '2020-03-29'],
'B':[1,0.5,4,5,5,4],
'C':[7,8,9,4,2,3],
'D':[1,3,1,7,1,1],
'E':[5,3,6,9,2,4]
})
test_df = test_df.melt(['ID', 'date']).
I want to run the code just once and build different subplots depending on the ID, like if each graph in the picture below were corresponding to the variables of a specific ID.我想只运行一次代码并根据 ID 构建不同的子图,就像下图中的每个图表都对应于特定 ID 的变量。
I tried with 'add trace' as is on the doc, but if I do this I have to copy and paste the code each time filtering by the ID.我尝试使用文档上的“添加跟踪”,但如果我这样做,我必须在每次按 ID 过滤时复制并粘贴代码。
In the end was super simple, the problem is that the documentation of plotly express is not so easy to find.最后超级简单,问题是plotly express的文档不是那么好找的。
So, you can put the variable facet_col='ID' on your px.scatter(...) and it works:).因此,您可以将变量 facet_col='ID' 放在 px.scatter(...) 上,它可以工作:)。
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