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show folium outside of ipython notebooks

See original GitHub issue

Hey guys i am trying to run one of the examples you provide. However, I am unable to render it. It’s probably because I am using it in a normal python script inside the PyCharm. Is there any functionality similar to matplotlib show()? I tried render() but it does not do anything…

import folium
from folium.plugins import HeatMap
import numpy as np
print(folium.__version__)
#0.6.0

data = (np.random.normal(size=(100, 3)) *
        np.array([[1, 1, 1]]) +
        np.array([[48, 5, 1]])).tolist()
m = folium.Map([48., 5.], tiles='stamentoner', zoom_start=6)
HeatMap(data).add_to(m)
m
# <folium.folium.Map object at 0x7f4c56e14b70>
m.render()
# nothing happens

Issue Analytics

State:
Created 5 years ago
Reactions:1
Comments:20 (14 by maintainers)

Top GitHub Comments

23reactions

Conengmocommented, Aug 30, 2018

If you want to open your map in your web browser you could do something like this:

import os
import webbrowser
filepath = 'C:/whatever/map.html'
m = folium.Map()
m.save(filepath)
webbrowser.open('file://' + filepath)

On my Windows machine this opens the map in my default webbrowser. No need to run a server or anything.

Does this work for you?

2reactions

Demetrio92commented, Aug 30, 2018

Proof of concept. Tested with python 3.5 and folium 0.6.0

import numpy as np
import folium
from folium.plugins import HeatMap

# create map
data = (np.random.normal(size=(100, 3)) *
        np.array([[1, 1, 1]]) +
        np.array([[48, 5, 1]])).tolist()
folium_map = folium.Map([48., 5.], tiles='stamentoner', zoom_start=6)
HeatMap(data).add_to(folium_map)

# this won't work:
folium_map
folium_map.render()



# ------------------------------------------------------------------------------------------------
# so let's write a custom temporary-HTML renderer
# pretty much copy-paste of this answer: https://stackoverflow.com/a/38945907/3494126
import subprocess
import webbrowser
from http.server import BaseHTTPRequestHandler, HTTPServer


PORT = 7000
HOST = '127.0.0.1'
SERVER_ADDRESS = '{host}:{port}'.format(host=HOST, port=PORT)
FULL_SERVER_ADDRESS = 'http://' + SERVER_ADDRESS


def TemproraryHttpServer(page_content_type, raw_data):
    """
    A simpe, temprorary http web server on the pure Python 3.
    It has features for processing pages with a XML or HTML content.
    """

    class HTTPServerRequestHandler(BaseHTTPRequestHandler):
        """
        An handler of request for the server, hosting XML-pages.
        """

        def do_GET(self):
            """Handle GET requests"""

            # response from page
            self.send_response(200)

            # set up headers for pages
            content_type = 'text/{0}'.format(page_content_type)
            self.send_header('Content-type', content_type)
            self.end_headers()

            # writing data on a page
            self.wfile.write(bytes(raw_data, encoding='utf'))

            return

    if page_content_type not in ['html', 'xml']:
        raise ValueError('This server can serve only HTML or XML pages.')

    page_content_type = page_content_type

    # kill a process, hosted on a localhost:PORT
    subprocess.call(['fuser', '-k', '{0}/tcp'.format(PORT)])

    # Started creating a temprorary http server.
    httpd = HTTPServer((HOST, PORT), HTTPServerRequestHandler)

    # run a temprorary http server
    httpd.serve_forever()


def run_html_server(html_data=None):

    if html_data is None:
        html_data = """
        <!DOCTYPE html>
        <html>
        <head>
        <title>Page Title</title>
        </head>
        <body>
        <h1>This is a Heading</h1>
        <p>This is a paragraph.</p>
        </body>
        </html>
        """

    # open in a browser URL and see a result
    webbrowser.open(FULL_SERVER_ADDRESS)

    # run server
    TemproraryHttpServer('html', html_data)

# ------------------------------------------------------------------------------------------------


# now let's save the visualization into the temp file and render it
from tempfile import NamedTemporaryFile
tmp = NamedTemporaryFile()
folium_map.save(tmp.name)
with open(tmp.name) as f:
    folium_map_html = f.read()

run_html_server(folium_map_html)

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