davisvictorns

import networkx as nx
import matplotlib.pyplot as plt

G = nx.read_graphml("football_network.graphml")

davisvictorns

retorno = get_tunnel()
print(retorno)
!python my_dash_app.py

davisvictorns

download_ngrok()

davisvictorns

%%writefile my_dash_app.py
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
import pandas as pd
import numpy as np
import json

from dash.dependencies import Input, Output

davisvictorns

fig = px.scatter_mapbox(df, 
                        lat='centroid_lat', 
                        lon='centroid_lon', 
                        text='text',
                        size='approxim',
                        size_max=40, 
                        zoom=15,
                        mapbox_style='carto-positron')
fig.update_layout(margin={'r':0,'t':0,'l':0,'b':0})
fig.show()

davisvictorns

# dataset example
df = pd.DataFrame(data={'centroid_lat':[48.858412],
                        'centroid_lon':[2.294492], 
                        'approxim':[50],
                        'text':['Torre Eiffel']})
df

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Response = namedtuple('Response', ['url', 'error'])

def get_tunnel():
    try:
        Tunnel = subprocess.Popen(['./ngrok','http','8050'])

        session = requests.Session()
        retry = Retry(connect=3, backoff_factor=0.5)
        adapter = HTTPAdapter(max_retries=retry)
        session.mount('http://', adapter)

davisvictorns

def download_ngrok():
    if not os.path.isfile('ngrok'):
        !wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
        !unzip -o ngrok-stable-linux-amd64.zip
    pass

davisvictorns

import os.path
import sys, json
import requests
import subprocess

import numpy as np
import pandas as pd
import plotly.express as px

from requests.exceptions import RequestException

davisvictorns

# Install Plotly
!pip install Plotly==4.12

# Install Dash
!pip install dash
!pip install dash-html-components
!pip install dash-core-components
!pip install dash-table