devdattaT

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Stage 1 (extract the boundaries)

Step 1: Get the geojson file To begin with we need a Geojson representing the boundaries - For this example I am using the one present at https://github.com/datameet/maps/blob/b3fbbde595310b397a55d718e0958ce249a4fa1f/Country/india-soi.geojson- Download this file (Note : This file may possibly not be accurate - Please do thorough research before putting this in prod) - Replace the propertie

devdattaT

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import os

#get List of files
def getFiles(fldr):
    files = os.listdir(fldr)
    return [os.path.join(fldr, f) for  f  in files]

def getFileContents(file):
    lines = []
    with open(file, 'r') as inpFile:

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nin_pmjay,type,address,latitude,longitude,contact,mobile,categoryno,name,pincode,district,state,categoryname,block,city
HOSP24P04978,Paid,"Zanzada Chokdi, Junagadh","21.520954599675065","70.45339999991012",Dr Nirav Satasiya,"7622868893","2",satasia surgical hospital,"362001",JUNAGADH,GUJARAT,Private PMJAY,,
,,PHC CHEETHWARI,"27.14396860027074","75.80109620042936",,,"3",PHC CHEETHWARI,"303806",JAIPUR,RAJASTHAN,Health Facilities All States,Govindgarh,
,,Dabaycha PHC,"23.89449530011808","73.43864659956097",,,"3",Dabaycha PHC,"313804",UDAIPUR,RAJASTHAN,Health Facilities All States,Kherwara,
,,B K SARERI,"25.620528900088743","74.4438872996592",,,"3",B K Sareri PHC,"311026",BHILWARA,RAJASTHAN,Health Facilities All States,Asind,
,,CHC NOKHRA HCW,"25.478365300418318","71.61838520031682",,,"3",CHC NOKHRA,"344702",BARMER,RAJASTHAN,Health Facilities All States,Sindhari,
,,BUHANA,"28.205316599881257","75.87573540036851",,,"3",CHC BUHANA 2,"333502",JHUNJHUNUN,RAJASTHAN,Health Facilities All States,Buhana,

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Longitude,Latitude,objectid,dm_name,strucode,nrld_no,dm_lat,dm_long,dm_ncity,dtcode,stcode,rivcode,bacode,dm_type,dm_cmp_yr,dm_length,dm_height,dm_flod_des,dm_spil_type,dm_spil_leng,dm_spil_lev,dm_spil_cap,dm_gate_type,dm_gate_no,dm_gate_sz,dam_vol,dm_coment,uname,dm_cmn_yr,dm_name_al,dm_status,dm_ses_zone,dm_no_river_sluice,dm_sluice_purpose,dm_sluice_sz,dm_mod_oper,dm_inst_inter_ager,dm_inst_inter,dm_perliament,dm_ener_dissp,dm_instru_embed,class,dm_oper_main_age,dm_gt_ungtd,dm_lat_1,dm_long_1,created_user,created_date,last_edited_user,last_edited_date,ltype
86.2955202501893,25.0331853491585,"1",Ajan Dam,D00105,BR02HH0020,25.033076,86.295052,Jamui,Jamui,BR,Ajan,2A,TE,"1989","518.3","39.02",,CH,"76.25","123.32","878.5",UG,,,,,Vineeta,,"Anjan, Azan",Completed,Seismic Zone-IV,,,,,,,Jamui,,,Class 2,"Water Resources Department, Govt.of Bihar",UG,25.03318596,86.29551697,,,,,dam

devdattaT

Google is extremely transparent about the Location History it has on you. You can check it out on the timeline feature in the Google Maps application on the phone, or on https://www.google.com/maps/timeline It is possible that you have that turned off, and in that case, consider yourself lucky.

If there is data there, you can view it online, or Download and Analyze it yourself.

• To extract that data, you can go to takeout.google.com and request for the Location History data from there.
• This gets generated as a JSON file which you should download.
• You can then convert that JSON file to a CSV, by using https://gist.github.com/devdattaT/c9dcae2107622215ff2e798dd185087e
• Finally load that data in https://kepler.gl/#/demo to view locations on a Map

Note: The conversion script has been updated on 2024-06-24, to match the updated format which is now generated by Google Takeout

devdattaT

import json
import csv
import sys
from datetime import datetime
import os

def has_keys(dictionary, keys):
    return all(key in dictionary for key in keys)

def make_reader(in_json):

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<!DOCTYPE qgis PUBLIC 'http://mrcc.com/qgis.dtd' 'SYSTEM'>
<qgis simplifyMaxScale="1" labelsEnabled="0" hasScaleBasedVisibilityFlag="0" simplifyAlgorithm="0" readOnly="0" simplifyDrawingTol="1" simplifyLocal="1" minScale="1e+8" simplifyDrawingHints="1" version="3.2.0-Bonn" maxScale="0">
  <renderer-v2 symbollevels="0" enableorderby="0" attr="name" forceraster="0" type="categorizedSymbol">
    <categories>
      <category symbol="0" render="true" label="Circle Line" value="Circle Line"/>
      <category symbol="1" render="true" label="Circle Line Extension" value="Circle Line Extension"/>
      <category symbol="2" render="true" label="Circle Line MRT" value="Circle Line MRT"/>
      <category symbol="3" render="true" label="Downtown Line" value="Downtown Line"/>
      <category symbol="4" render="true" label="Downtown Line MRT" value="Downtown Line MRT"/>
      <category symbol="5" render="true" label="MRT East West Line (EW)" value="MRT East West Line (EW)"/>

devdattaT

Upgrading Postgresql Client to 10.x on Ubuntu
==
We need to first check which Postgresql components are currently installed. This can be done by running a command like:

`dpkg -l | grep postgres`

This returned:

`
    ii  postgresql-client                9.5+173ubuntu0.1                           all          front-end programs for PostgreSQL (supported version)