Merge pull request #19 from kupad95/kupad95-patch-1

add India state-level data

parsers/india.py

@@ -0,0 +1,52 @@
+import os, sys
+import csv
+import json
+import requests
+import numpy as np
+
+from collections import defaultdict
+from datetime import datetime
+from .utils import write_tsv
+
+# ------------------------------------------------------------------------
+# Globals
+
+URL  = "https://api.rootnet.in/covid19-in/stats/daily"
+LOC  = "case-counts/Asia/Southern Asia/India"
+cols = ['time', 'cases', 'deaths', 'hospitalized', 'ICU', 'recovered']
+
+# ------------------------------------------------------------------------
+# Functions
+
+def sorted_date(s):
+    return sorted(s, key=lambda d: datetime.strptime(d[cols.index('time')], "%Y-%m-%d"))
+
+# ------------------------------------------------------------------------
+# Main point of entry
+
+def parse():
+    r  = requests.get(URL)
+    if not r.ok:
+        print(f"Failed to fetch {URL}", file=sys.stderr)
+        exit(1)
+        r.close()
+
+    dbindia = json.loads(r.text)['data']
+    r.close()
+
+    # Convert to ready made TSVs
+    states = defaultdict(list)
+    for row in dbindia:
+        dates = row["day"]
+        for i in row['regional']:
+            confirmedCases = i["confirmedCasesIndian"] + i["confirmedCasesForeign"]
+            deaths = i["deaths"]
+            locations = i['loc']
+            elt  = [ dates, confirmedCases, deaths, None, None, None ]
+            states[locations].append(elt)
+
+      for cntry, data in states.items():
+        states[cntry] = sorted_date(states[cntry])
+
+    for state, data in states.items():
+        write_tsv(f"{LOC}/{state}.tsv", cols, data, "india")

populationData.tsv

@@ -146,3 +146,39 @@ USA-Florida	21992985	United States of America	57182	1906	300	10
 USA-Texas	29472295	United States of America	67786	2260	200	10
 USA-California	39937489	United States of America	71887	2396	1000	10
 India	1380004385	India	1376013	70000	5	40
+India-Andhra Pradesh	52883163	India	23138	2278	0	2
+IND-Arunachal Pradesh	1528296	India	2404	236	0	0.1
+IND-Assam	34586234	India	17142	1688	0	1
+IND-Bihar	119461013	India	12019	1183	0	1
+IND-Chhattisgarh	28566990	India	9412	926	0	0.1
+IND-Goa	1542750	India	3013	296	0	0.1
+IND-Gujarat	63907200	India	32280	3179	0	3
+IND-Haryana	27388008	India	11240	1106	0	1
+IND-Himachal Pradesh	7316708	India	12399	1221	0	1
+IND-Jammu & Kashmir	13635010	India	11651	1147	0	1
+IND-Jharkhand	37329128	India	10784	1062	0	1
+IND-Karnataka	66165886	India	70165	6910	0	6
+IND-Kerala	35330888	India	38004	3742	3	3
+IND-Madhya Pradesh	82342793	India	28839	2840	0	2
+IND-Maharashtra	120837347	India	51446	5066	0	5
+IND-Manipur	3008546	India	1427	140	0	0.1
+IND-Meghalaya	3276323	India	4457	438	0	0.1
+IND-Mizoram	1205974	India	1997	196	0	0.1
+IND-Nagaland	2189297	India	1880	185	0	0.1
+IND-Odisha	45429399	India	18519	1823	0	1
+IND-Punjab	29611935	India	17933	1766	0	1
+IND-Rajasthan	78230816	India	31848	3136	0	3
+IND-Sikkim	671720	India	1560	153	0	0.1
+IND-Tamil Nadu	76481545	India	77532	7635	0	7
+IND-Telangana	38472769	India	20983	2066	1	2
+IND-Tripura	4057847	India	4417	435	0	0.1
+IND-Uttar Pradesh	228959599	India	76260	7510	0	7
+IND-Uttarakhand	11090425	India	8512	838	0	0.1
+IND-West Bengal	97694960	India	78566	7737	0	7
+IND-Andaman & Nicobar Islands	419978	India	1075	105	0	0.1
+IND-Chandigarh	1126705	India	778	76	0	0.1
+IND-Dadra & Nagar Haveli	378979	India	589	58	0	0.1
+IND-Daman & Diu	220084	India	240	23	0	0.1
+IND-Delhi	18345784	India	24383	2401	1	2
+IND-Lakshadweep	71218	India	300	29	0	0.1
+IND-Puducherry	1375592	India	3569	351	0	0.1

sources.json

@@ -28,5 +28,10 @@
     "primarySource": "https://coronadatascraper.com/timeseries-byLocation.json",
     "dataProvenance": "Coronadatascraper.com",
     "license": "Scraped from many sources, no clear license"
+  },
+  "india": {
+    "primarySource": "https://api.rootnet.in/covid19-in/stats/daily",
+    "dataProvenance": "https://github.com/amodm/api-covid19-in",
+    "license": "Scraped from Ministry of Health and Family Welfare plus other sources, no clear license"
   }
 }