如何在Django网页中嵌入matplotlib图？ [英] How to embed matplotlib graph in Django webpage?

问题描述

因此，请耐心等待，因为我是Django，Python和网络开发的新手。我要做的是显示我使用matplotlib制作的图形。我让它工作到主页自动重定向到图形的png的位置（基本上是浏览器中显示图形的选项卡）。但是，现在我要查看的是简单嵌入图形的实际主页。换句话说，我想查看导航栏等，然后再查看网站正文中的图形。

So, bear with me as I'm VERY new to Django, Python, and web-development in general. What I want to do is display a graph that I've made using matplotlib. I had it working to where the home page automatically redirects to the png of the graph (basically a tab in the browser with the graph displayed). However, now what I want is to see the actual homepage with the graph simply embedded. In other words, I want to see the navigation bar, etc. and then the graph in the body of the site.

到目前为止，我已经进行了搜索，并且对如何实现此目标有所了解。我在想一种特殊的视图，它只返回图形。然后，以某种方式从模板中的img src标记访问此png图像，该图像将用于显示数据。

So far, I've searched and I sort of have an idea of how to accomplish this. What I'm thinking is having a special view that simply returns the graph. Then, somehow accessing this png image from an img src tag in my template that I will use to display my data.

图形代码：

from django.shortcuts import render
import urllib
import json
from django.http import HttpResponse
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
import datetime as dt
import pdb

def index(request):
    stock_price_url = 'https://www.quandl.com/api/v3/datatables/WIKI/PRICES.json?ticker=GOOGL&date.gte=20151101&qopts.columns=date,close&api_key=KEY'

    date = []
    price = []

    #pdb.set_trace()
    source_code = urllib.request.urlopen(stock_price_url).read().decode()

    json_root = json.loads(source_code)
    json_datatable = json_root["datatable"]
    json_data = json_datatable["data"]

    for day in json_data:
        date.append(dt.datetime.strptime(day[0], '%Y-%m-%d'))
        price.append(day[1])

    fig=Figure()
    ax = fig.add_subplot(1,1,1)

    ax.plot(date, price, '-')

    ax.set_xlabel('Date')
    ax.set_ylabel('Price')
    ax.set_title("Google Stock")

    canvas = FigureCanvas(fig)
    response = HttpResponse(content_type='image/png')
    #canvas.print_png(response)
    return response

模板代码：

{% extends "home/header.html" %}
  {% block content %}
  <p>Search a stock to begin!</p>
  <img src="home/graph.py" />

  {% endblock %}

我现在得到的是：

当前页面

推荐答案

我知道这个问题被标记为matplotlib，但是我需要做同样的事情，并且发现 plotly 以便更易于使用和吸引人。您可以简单地绘制图形，然后在视图中获取图形的html代码，如下所示：

I know this question is tagged as matplotlib, but I needed to do the same thing and I have found plotly to be easier to use and appealing as well. You can simply plot a graph and then in the view get the html code of the graph as :

# fig is plotly figure object and graph_div the html code for displaying the graph
graph_div = plotly.offline.plot(fig, auto_open = False, output_type="div")
# pass the div to the template

在模板中执行以下操作：

In the template do:

<div style="width:1000;height:100">
{{ graph_div|safe }}
</div>

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