ghtmtt

In [1]: from plotly.offline import download_plotlyjs, init_notebook_mode, iplot

In [2]: init_notebook_mode()
<IPython.core.display.HTML object>

In [3]: iplot([{"x": [1, 2, 3], "y": [3, 1, 6]}])
<IPython.core.display.HTML object>
<IPython.core.display.HTML object>
  

ghtmtt

# -*- coding: utf-8 -*-

from PyQt5.QtCore import QCoreApplication, QVariant
from qgis.core import (QgsProcessing,
                       QgsFeatureSink,
                       QgsField,
                       QgsFields,
                       QgsProcessingUtils,
                       QgsProcessingException,
                       QgsProcessingAlgorithm,

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# the function needs geopy
# for Windows users, to install geopy, open the OSGEO4W Shell and type: 
# py3_env 
# pip3 install geopy

from qgis.core import *
from qgis.gui import *

from geopy.geocoders import Nominatim
locator = Nominatim(user_agent="myGeocoder")

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project = QgsProject.instance()

start_points = project.mapLayersByName('start_points')[0] # start
end_points = project.mapLayersByName('end_points')[0] # end
network = project.mapLayersByName('network')[0] # network


## from polyline to director
director = QgsVectorLayerDirector(
    source=network,

ghtmtt

# -*- coding: utf-8 -*-
"""
/***************************************************************************
 DataPlotlyDialog
                                 A QGIS plugin
 D3 Plots for QGIS
                             -------------------
        begin                : 2020-08-17
        git sha              : $Format:%H$
        copyright            : (C) 2017 by matteo ghetta

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import ee 
from ee_plugin import Map 

# Sentinel data
collection = ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_NO2')
# Band of NO2
collection = collection.select('tropospheric_NO2_column_number_density')

# 2019 data
collection2019 = collection.filterDate('2019-03-01', '2019-04-30')

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# -*- coding: utf-8 -*-

"""
***************************************************************************
*                                                                         *
*   This program is free software; you can redistribute it and/or modify  *
*   it under the terms of the GNU General Public License as published by  *
*   the Free Software Foundation; either version 2 of the License, or     *
*   (at your option) any later version.                                   *
*                                                                         *

ghtmtt

# -*- coding: utf-8 -*-

from PyQt5.QtCore import QCoreApplication
from qgis.core import (QgsProcessing,
                       QgsFeatureSink,
                       QgsProcessingAlgorithm,
                       QgsProcessingParameterFeatureSource,
                       QgsProcessingParameterFeatureSink)

import processing

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import pandas as pd
import plotly.express as px

df = pd.read_csv("https://gist.github.com/ghtmtt/66164cc25a7b160cef99fa61b2feca59/raw/3034facfdecf7358934d9f0a78341c4d13f2af47/covid-pandas.csv")
col = [col for col in df.columns if '20' in col]

dfm = pd.melt(
  df, 
  id_vars=["Province/State", "Country/Region", "continent", "Lat", "Long"], 
  value_vars=col, 

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Province/State,Country/Region,Lat,Long,1/22/20,1/23/20,1/24/20,1/25/20,1/26/20,1/27/20,1/28/20,1/29/20,1/30/20,1/31/20,2/1/20,2/2/20,2/3/20,2/4/20,2/5/20,2/6/20,2/7/20,2/8/20,2/9/20,2/10/20,2/11/20,2/12/20,2/13/20,2/14/20,2/15/20,2/16/20,2/17/20,2/18/20,2/19/20,2/20/20,2/21/20,2/22/20,2/23/20,2/24/20,2/25/20,2/26/20,2/27/20,2/28/20,2/29/20,3/1/20,3/2/20,3/3/20,3/4/20,3/5/20,3/6/20,3/7/20,3/8/20,3/9/20,3/10/20,3/11/20,3/12/20,3/13/20,3/14/20,3/15/20,3/16/20,3/17/20,3/18/20,3/19/20,3/20/20,3/21/20,3/22/20,3/23/20,3/24/20,3/25/20,3/26/20,3/27/20,3/28/20,3/29/20,3/30/20,3/31/20,4/1/20,4/2/20,4/3/20,4/4/20,4/5/20,4/6/20,4/7/20,4/8/20,4/9/20,4/10/20,4/11/20,4/12/20,4/13/20,continent
,Afghanistan,33,65,"0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","1","1","1","1","1","1","1","1","1","1","1","1","1","4","4","5","7","7","7","11","16","21","22","22","22","24","24","40","40","74","84","94","110","110","120","170","174","237","273","281