嵌入WebAgg
此示例演示如何在您自己的Web应用程序和框架中嵌入matplotlib WebAgg交互式绘图。 基于龙卷风的服务器“侧面”是基于龙卷风的服务器。
使用的框架必须支持Web套接字。
import iotry:import tornadoexcept ImportError:raise RuntimeError("This example requires tornado.")import tornado.webimport tornado.httpserverimport tornado.ioloopimport tornado.websocketfrom matplotlib.backends.backend_webagg_core import (FigureManagerWebAgg, new_figure_manager_given_figure)from matplotlib.figure import Figureimport numpy as npimport jsondef create_figure():"""Creates a simple example figure."""fig = Figure()a = fig.add_subplot(111)t = np.arange(0.0, 3.0, 0.01)s = np.sin(2 * np.pi * t)a.plot(t, s)return fig# The following is the content of the web page. You would normally# generate this using some sort of template facility in your web# framework, but here we just use Python string formatting.html_content = """<html><head><!-- TODO: There should be a way to include all of the required javascriptand CSS so matplotlib can add to the set in the future if itneeds to. --><link rel="stylesheet" href="_static/css/page.css" type="text/css"><link rel="stylesheet" href="_static/css/boilerplate.css" type="text/css" /><link rel="stylesheet" href="_static/css/fbm.css" type="text/css" /><link rel="stylesheet" href="_static/jquery/css/themes/base/jquery-ui.min.css" ><script src="_static/jquery/js/jquery-1.11.3.min.js"></script><script src="_static/jquery/js/jquery-ui.min.js"></script><script src="mpl.js"></script><script>/* This is a callback that is called when the user saves(downloads) a file. Its purpose is really to map from afigure and file format to a url in the application. */function ondownload(figure, format) {window.open('download.' + format, '_blank');};$(document).ready(function() {/* It is up to the application to provide a websocket that the figurewill use to communicate to the server. This websocket object canalso be a "fake" websocket that underneath multiplexes messagesfrom multiple figures, if necessary. */var websocket_type = mpl.get_websocket_type();var websocket = new websocket_type("%(ws_uri)sws");// mpl.figure creates a new figure on the webpage.var fig = new mpl.figure(// A unique numeric identifier for the figure%(fig_id)s,// A websocket object (or something that behaves like one)websocket,// A function called when a file type is selected for downloadondownload,// The HTML element in which to place the figure$('div#figure'));});</script><title>matplotlib</title></head><body><div id="figure"></div></body></html>"""class MyApplication(tornado.web.Application):class MainPage(tornado.web.RequestHandler):"""Serves the main HTML page."""def get(self):manager = self.application.managerws_uri = "ws://{req.host}/".format(req=self.request)content = html_content % {"ws_uri": ws_uri, "fig_id": manager.num}self.write(content)class MplJs(tornado.web.RequestHandler):"""Serves the generated matplotlib javascript file. The contentis dynamically generated based on which toolbar functions theuser has defined. Call `FigureManagerWebAgg` to get itscontent."""def get(self):self.set_header('Content-Type', 'application/javascript')js_content = FigureManagerWebAgg.get_javascript()self.write(js_content)class Download(tornado.web.RequestHandler):"""Handles downloading of the figure in various file formats."""def get(self, fmt):manager = self.application.managermimetypes = {'ps': 'application/postscript','eps': 'application/postscript','pdf': 'application/pdf','svg': 'image/svg+xml','png': 'image/png','jpeg': 'image/jpeg','tif': 'image/tiff','emf': 'application/emf'}self.set_header('Content-Type', mimetypes.get(fmt, 'binary'))buff = io.BytesIO()manager.canvas.figure.savefig(buff, format=fmt)self.write(buff.getvalue())class WebSocket(tornado.websocket.WebSocketHandler):"""A websocket for interactive communication between the plot inthe browser and the server.In addition to the methods required by tornado, it is required tohave two callback methods:- ``send_json(json_content)`` is called by matplotlib whenit needs to send json to the browser. `json_content` isa JSON tree (Python dictionary), and it is the responsibilityof this implementation to encode it as a string to send overthe socket.- ``send_binary(blob)`` is called to send binary image datato the browser."""supports_binary = Truedef open(self):# Register the websocket with the FigureManager.manager = self.application.managermanager.add_web_socket(self)if hasattr(self, 'set_nodelay'):self.set_nodelay(True)def on_close(self):# When the socket is closed, deregister the websocket with# the FigureManager.manager = self.application.managermanager.remove_web_socket(self)def on_message(self, message):# The 'supports_binary' message is relevant to the# websocket itself. The other messages get passed along# to matplotlib as-is.# Every message has a "type" and a "figure_id".message = json.loads(message)if message['type'] == 'supports_binary':self.supports_binary = message['value']else:manager = self.application.managermanager.handle_json(message)def send_json(self, content):self.write_message(json.dumps(content))def send_binary(self, blob):if self.supports_binary:self.write_message(blob, binary=True)else:data_uri = "data:image/png;base64,{0}".format(blob.encode('base64').replace('\n', ''))self.write_message(data_uri)def __init__(self, figure):self.figure = figureself.manager = new_figure_manager_given_figure(id(figure), figure)super().__init__([# Static files for the CSS and JS(r'/_static/(.*)',tornado.web.StaticFileHandler,{'path': FigureManagerWebAgg.get_static_file_path()}),# The page that contains all of the pieces('/', self.MainPage),('/mpl.js', self.MplJs),# Sends images and events to the browser, and receives# events from the browser('/ws', self.WebSocket),# Handles the downloading (i.e., saving) of static images(r'/download.([a-z0-9.]+)', self.Download),])if __name__ == "__main__":figure = create_figure()application = MyApplication(figure)http_server = tornado.httpserver.HTTPServer(application)http_server.listen(8080)print("http://127.0.0.1:8080/")print("Press Ctrl+C to quit")tornado.ioloop.IOLoop.instance().start()
