Nikhil VJ answerquest

hydroSHEDS.org data vector tile layer publishing

	# adapted from https://github.com/CEPT-VZG/digipin/blob/main/src/digipin.js
	import re
	import math

	REGEX_PATTERN_DIGIPIN = re.compile(r'^[2-9CFJKLMPT]{3}-[2-9CFJKLMPT]{3}-[2-9CFJKLMPT]{4}$')
	REGEX_PATTERN_DIGIPIN_SEARCH = re.compile(r'[2-9CFJKLMPT]{3}-[2-9CFJKLMPT]{3}-[2-9CFJKLMPT]{4}')

	DIGIPIN_GRID = [
	['F', 'C', '9', '8'],
	['J', '3', '2', '7'],

	"""
	Program by Nikhil VJ, https://nikhilvj.co.in
	Based on solution worked out at https://gis.stackexchange.com/questions/475398/extract-features-in-lat-long-co-ordinates-from-vector-tile-layer-pbf-file-pytho
	License: Creative Commons Zero v1.0 Universal, ref: https://choosealicense.com/licenses/cc0-1.0/

	What this does:
	- Given any vector tile layer in .pbf format, and a poylgon or similar shape,
	- Extracts all the data from the vector tile layer falling over that shape,
	- And save it to local disk as a .gpkg shapefile which you can further use
	- If the vector tile layer had multiple layers, then .gpkg will have all those layers

	# Grouping lat-long locations geo-spatially into N clusters

	from sklearn.cluster import KMeans
	import pandas as pd

	def clusterPoints(df1, N=10, cluster_column='cluster', lat_column='lat', lon_column='lon'):
	kmeans = KMeans(n_clusters=N, random_state=None, n_init='auto')
	df1[cluster_column] = kmeans.fit_predict(df1[[lat_column, lon_column]].values) + 1
	# +1 so that 0,1,2,3..N-1 becomes 1,2,3..N
	return

	# by Nikhil VJ, https://nikhilvj.co.in , https://github.com/answerquest
	# generic SMTP emailing function in Python, using SSL
	# will take values from these env params:
	# EMAIL_SERVER : SMTP server url
	# EMAIL_PORT : SMTP port num (must be the SSL port)
	# EMAIL_SENDER : Email account whose SMTP login you're using
	# EMAIL_PW : SMTP password of the email account (likely same as regular password used to login to that account)
	# tested and works well with BigRock.in hosting account's email accounts.
	# ..and with Google workspace account IF you enable "allow less secure apps".

	// India_Outline_Map.js
	// Official India international boundary shapefile downloaded from https://surveyofindia.gov.in/pages/outline-maps-of-india
	// and converted to EPSG4326 (lat-longs), 5-decimal resolution, geojson format by https://gist.github.com/answerquest
	// All copyright / ownership belongs to source Govt of India website

	// NOTE: I wanted to put this in a .geojson file, but when Github shows its preview... guess what the background map is displaying! :P
	// Hence, if you want to get this as a .geojson shapefile,
	// please copy-paste the part from first { to last } to a text file
	// and name it as India.geojson