1 页上的多个情节情节,没有子情节

Multiple plotly plots on 1 page without subplot(1 页上的多个情节情节,没有子情节)
本文介绍了1 页上的多个情节情节,没有子情节的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

I want to have multiple plotly plots on 1 html page without using the tools.make_subplots method. (I dont want to use that since I find that its not easy to read and I want a unique legend & layout in each of the subplot panels).

I want to define 2 figures with their own unique layouts, and arrange them arbitrarily on the page. I think I know how to do this with dash using the html.Div object, but I was wondering if there was an easy way to do this using only plotly?

解决方案

So, in conclusion, I have not found a way to do this purely with plotly. Below is my code for doing this with Dash, which has been working quite well:

Step 1: make a few plotly plots

import plotly.offline as pyo
import plotly.graph_objs as go
import plotly as py
fig1 = go.Scatter(y=[1,2,3])
fig2 = go.Scatter(y=[3,2,1])
plots = [fig1, fig2]

Step 2: Make dash Div objects:

app = dash.Dash()
layout = html.Div(
        [html.Div(plots[i]) for i in range(len(plots))],
        style = {'margin-right': '0px'}
    )

Step 3: Run dash

app.layout = layout
app.run_server(port=8052)

这篇关于1 页上的多个情节情节,没有子情节的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持编程学习网!

本站部分内容来源互联网,如果有图片或者内容侵犯您的权益请联系我们删除!

相关文档推荐

Leetcode 234: Palindrome LinkedList(Leetcode 234:回文链接列表)
How do I read an Excel file directly from Dropbox#39;s API using pandas.read_excel()?(如何使用PANDAS.READ_EXCEL()直接从Dropbox的API读取Excel文件?)
subprocess.Popen tries to write to nonexistent pipe(子进程。打开尝试写入不存在的管道)
I want to realize Popen-code from Windows to Linux:(我想实现从Windows到Linux的POpen-code:)
Reading stdout from a subprocess in real time(实时读取子进程中的标准输出)
How to call type safely on a random file in Python?(如何在Python中安全地调用随机文件上的类型?)