ABHISHEK SHARMA abhishek-shrm

## folium-tutorial-8.py
fig5=Figure(height=550,width=750)
m5=folium.Map(location=[28.644800, 77.216721],tiles='cartodbpositron',zoom_start=14)
fig5.add_child(m5)

## folium-tutorial-10.py
f1.add_to(m5)
f2.add_to(m5)
f3.add_to(m5)
folium.LayerControl().add_to(m5)
m5

## folium-tutorial-11.py
import numpy as np
import pandas as pd

# For plotting maps
import folium

# For Regular Expressions
import re

# For working with geographical data

## folium-tutorial-12.py
df_covid=pd.read_csv('/covid19-corona-virus-india-dataset/complete.csv')
df_covid.head()

## folium-tutorial-13.py
india_geojson=geopandas.read_file('/india-geojson/india_geo.json')
india_geojson.head()

## folium-tutorial-14.py
india_geojson.plot()

## folium-tutorial-15.py
df_covid.isnull().sum()

## folium-tutorial-16.py
df_covid.dtypes

## folium-tutorial-18.py
df_covid['Name of State / UT'].unique()

## folium-tutorial-20.py
id_dict={'Andaman and Nicobar Islands': '0',
 'Arunachal Pradesh': '1',
 'Assam': '2',
 'Bihar': '3',
 'Chandigarh': '4',
 'Chhattisgarh': '5',
 'Dadra and Nagar Haveli': '6',
 'Daman and Diu': '7',
 'Goa': '8',
 'Gujarat': '9',
	fig5=Figure(height=550,width=750)
	m5=folium.Map(location=[28.644800, 77.216721],tiles='cartodbpositron',zoom_start=14)
	fig5.add_child(m5)
	f1.add_to(m5)
	f2.add_to(m5)
	f3.add_to(m5)
	folium.LayerControl().add_to(m5)
	m5
	import numpy as np
	import pandas as pd

	# For plotting maps
	import folium

	# For Regular Expressions
	import re

	# For working with geographical data
	df_covid=pd.read_csv('/covid19-corona-virus-india-dataset/complete.csv')
	df_covid.head()
	india_geojson=geopandas.read_file('/india-geojson/india_geo.json')
	india_geojson.head()
	id_dict={'Andaman and Nicobar Islands': '0',
	'Arunachal Pradesh': '1',
	'Assam': '2',
	'Bihar': '3',
	'Chandigarh': '4',
	'Chhattisgarh': '5',
	'Dadra and Nagar Haveli': '6',
	'Daman and Diu': '7',
	'Goa': '8',
	'Gujarat': '9',