![\"covid-19](\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/covid-19-analysis-output.gif\")
<\/a><\/p>\nAnalyze COVID-19 Virus Spread with Python<\/h2>\n
We will be using flask and folium python packages for making interactive dashboards.<\/p>\n
Flask:<\/strong> It is a web server gateway interface application in python. This is used for developing web apps. Using Flask we can build applications that can scale up to complex applications. Install Flask using:<\/p>\n Folium:<\/strong> It is a python API for visualizing data. It is a good API to include map related visualizations. Install Folium using:<\/p>\n The dataset consists of corona spread data from different countries and different cities.\u00a0This dataset also contains the latitude and longitude of corona affected areas. We will filter and visualize the countries and the cites within countries with maximum corona cases.<\/p>\n Please download all the datasets: Covid-19 DataSet<\/strong><\/a><\/p>\n The directory tree for the project is as follows:<\/p>\n Create a file app.py and add the following code:<\/strong><\/p>\n 1. Load the dataset and collect the top 15 regions having the largest corona cases:<\/p>\n For ease, let’s make a function that will return the updated data frame, cdf.<\/p>\n 2. Make a sample map using the folium package and write a function to make circles on active corona cases regions:<\/p>\n 3. Now do the required settings for flask app.<\/p>\n 4. Now create two HTML pages inside templates folder: base.html and home.html and paste the below code in it.<\/p>\n base.html:<\/strong><\/p>\n home.html:<\/strong><\/p>\n 5. Inside static folder make style.css file and paste the below code.<\/p>\n style.css:<\/strong><\/p>\n Now run the flask app and visualize corona statistics using the dashboard. To run the flask app open the terminal and run the app.py file.<\/p>\n Now, open the dashboard at localhost:5050<\/p>\n Let’s perform a similar analysis on new datasets. The steps are similar which we have discussed in the previous run<\/p>\n Please download the second dataset: Covid-19 DataSet<\/strong><\/a><\/p>\n Create the following files:<\/p>\n After creating all the files paste the below code inside respective files:<\/p>\n app.py:<\/strong><\/p>\n base.html:<\/strong><\/p>\n home.html:<\/strong><\/p>\n style.css:<\/strong><\/p>\n Run the app.py file to run the flask app:<\/p>\n Let’s perform a similar analysis on a different datasets. The steps are similar which we have discussed in the previous run<\/p>\npip install Flask\r\n<\/pre>\n
pip install folium\r\n<\/pre>\n
Download Dataset<\/h3>\n
Let’s dive to project code<\/h3>\n
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import pandas as pd\r\ncorona_df = pd.read_csv('dataset.csv')\r\nby_country = corona_df.groupby('Country_Region').sum()[['Confirmed', 'Deaths', 'Recovered', 'Active']]\r\ncdf = by_country.nlargest(n, 'Confirmed')[['Confirmed']]\r\n<\/pre>\ndef find_top_confirmed(n = 15):\r\n\r\n import pandas as pd\r\n corona_df = pd.read_csv('dataset.csv')\r\n by_country = corona_df.groupby('Country_Region').sum()[['Confirmed', 'Deaths', 'Recovered', 'Active']]\r\n cdf = by_country.nlargest(n, 'Confirmed')[['Confirmed']]\r\n return cdf\r\n<\/pre>\nimport folium\r\nimport pandas as pd\r\ncorona_df = pd.read_csv('dataset.csv')\r\n\r\ncorona_df=corona_df.dropna()\r\n\r\nm=folium.Map(location=[34.223334,-82.461707],\r\n tiles='Stamen toner',\r\n zoom_start=8)\r\n\r\ndef circle_maker(x):\r\n folium.Circle(location=[x[0],x[1]],\r\n radius=float(x[2])*10,\r\n color=\"red\",\r\n popup='{}\\n confirmed cases:{}'.format(x[3],x[2])).add_to(m)\r\ncorona_df[['Lat','Long_','Confirmed','Combined_Key']].apply(lambda x:circle_maker(x),axis=1)\r\n\r\nhtml_map=m._repr_html_()\r\n<\/pre>\nfrom flask import Flask,render_template\r\n\r\napp=Flask(__name__)\r\n\r\n@app.route('\/')\r\ndef home():\r\n return render_template(\"home.html\",table=cdf, cmap=html_map,pairs=pairs)\r\n\r\nif __name__==\"__main__\":\r\n app.run(debug=True)\r\n<\/pre>\n<head>\r\n <link\r\n rel=\"stylesheet\"\r\n href=\"https:\/\/stackpath.bootstrapcdn.com\/bootstrap\/4.5.0\/css\/bootstrap.min.css\"\r\n integrity=\"sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk\"\r\n crossorigin=\"anonymous\"\r\n \/>\r\n\r\n <link\r\n rel=\"stylesheet\"\r\n type=\"text\/css\"\r\n href=\"{{ url_for('static',filename='style.css')}}\"\r\n \/>\r\n<\/head>\r\n\r\n{% block content %} {% endblock %}\r\n<\/pre>\n{% extends \"base.html\" %} {% block content %}\r\n\r\n\r\n<div class=\"container\">\r\n <h1>COVID-19 Spread Analysis<\/h1>\r\n <div class=\"row\">\r\n \r\n <div class=\"col-4\">\r\n <h5><font color=\"red\">Top 15 countries<\/font><\/h5>\r\n <p>This data comes from a resource<\/p>\r\n <table class=\"table-responsive-sm table-dark\">\r\n <thead>\r\n <tr>\r\n <th scope=\"col\">Country<\/th>\r\n <th scope=\"col\">Confirmed<\/tr>\r\n <\/tr>\r\n <\/thead>\r\n <tbody>\r\n {% for pair in pairs %}\r\n <tr>\r\n <td>{{ pair[0]}}<\/td>\r\n <td>{{ pair[1]}}<\/td>\r\n <\/tr>\r\n {% endfor %}\r\n <\/tbody>\r\n <\/table><\/div>\r\n <div class=\"col-8\">\r\n <h5><font color=\"firebrick\">world map of corona cases<\/font><\/h5>\r\n <p>using the same data we provided an updated map that contains<\/p>\r\n {{cmap|safe}}<\/div>\r\n \r\n <\/div>\r\n<\/div>\r\n\r\n\r\n{% endblock %}\r\n<\/pre>\nbody {\r\n background-color: black;\r\n color: white;\r\n}\r\n\r\nh1, td, tr {\r\n color: white;\r\n}\r\n<\/pre>\npython3 app.py\r\n<\/pre>\n
<\/a><\/p>\nProject part-2<\/h3>\n
Download the dataset<\/h3>\n
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def find_top_confirmed(n = 15):\r\n\r\n import pandas as pd\r\n corona_df=pd.read_csv(\"dataset2.csv\")\r\n by_country = corona_df.groupby('Country').sum()[['Confirmed', 'Deaths', 'Recovered', 'Active']]\r\n cdf = by_country.nlargest(n, 'Confirmed')[['Confirmed']]\r\n return cdf\r\n\r\ncdf=find_top_confirmed()\r\npairs=[(country,confirmed) for country,confirmed in zip(cdf.index,cdf['Confirmed'])]\r\n\r\n\r\nimport folium\r\nimport pandas as pd\r\ncorona_df = pd.read_csv(\"dataset2.csv\")\r\ncorona_df=corona_df[['Lat','Long_','Confirmed']]\r\ncorona_df=corona_df.dropna()\r\n\r\nm=folium.Map(location=[34.223334,-82.461707],\r\n tiles='Stamen toner',\r\n zoom_start=8)\r\n\r\ndef circle_maker(x):\r\n folium.Circle(location=[x[0],x[1]],\r\n radius=float(x[2]),\r\n color=\"red\",\r\n popup='confirmed cases:{}'.format(x[2])).add_to(m)\r\ncorona_df.apply(lambda x:circle_maker(x),axis=1)\r\n\r\nhtml_map=m._repr_html_()\r\nfrom flask import Flask,render_template\r\n\r\napp=Flask(__name__)\r\n\r\n@app.route('\/')\r\ndef home():\r\n return render_template(\"home.html\",table=cdf, cmap=html_map,pairs=pairs)\r\n\r\nif __name__==\"__main__\":\r\n app.run(debug=True)\r\n<\/pre>\n<head>\r\n <link\r\n rel=\"stylesheet\"\r\n href=\"https:\/\/stackpath.bootstrapcdn.com\/bootstrap\/4.5.0\/css\/bootstrap.min.css\"\r\n integrity=\"sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk\"\r\n crossorigin=\"anonymous\"\r\n \/>\r\n\r\n <link\r\n rel=\"stylesheet\"\r\n type=\"text\/css\"\r\n href=\"{{ url_for('static',filename='style.css')}}\"\r\n \/>\r\n<\/head>\r\n\r\n{% block content %} {% endblock %}\r\n<\/pre>\n{% extends \"base.html\" %} {% block content %}\r\n\r\n\r\n<div class=\"container\">\r\n <h1>COVID-19 Spread Analysis<\/h1>\r\n <div class=\"row\">\r\n \r\n <div class=\"col-4\">\r\n <h5><font color=\"red\">Top 15 country<\/font><\/h5>\r\n <p>This is the countrywise covid-19 data upto 20 july 2020.<\/p>\r\n <table class=\"table-responsive-sm table-dark\">\r\n <thead>\r\n <tr>\r\n <th scope=\"col\">Country<\/th>\r\n <th scope=\"col\">Confirmed<\/tr>\r\n <\/tr>\r\n <\/thead>\r\n <tbody>\r\n {% for pair in pairs %}\r\n <tr>\r\n <td>{{ pair[0]}}<\/td>\r\n <td>{{ pair[1]}}<\/td>\r\n <\/tr>\r\n {% endfor %}\r\n <\/tbody>\r\n <\/table><\/div>\r\n <div class=\"col-8\">\r\n <h5><font color=\"firebrick\">world map of corona cases. The bigger the circle, bigger is the impace of corona virus in that province state.<\/font><\/h5>\r\n <p>using the same data we provided an updated map that contains<\/p>\r\n {{cmap|safe}}<\/div>\r\n \r\n <\/div>\r\n<\/div>\r\n\r\n\r\n{% endblock %}\r\n<\/pre>\nbody {\r\n background-color: black;\r\n color: white;\r\n}\r\n\r\nh1,\r\ntd,\r\ntr {\r\n color: white;\r\n}\r\n<\/pre>\npython3 app.py\r\n<\/pre>\n
<\/a><\/p>\nProject part 3<\/h3>\n