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Covid19India-0.0.5
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مشاهده بیشترتوضیحات
A Python3 Library to get India's Covid-19 Patient Count.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | Covid19India-0.0.5 |
| نام | Covid19India |
| نسخه کتابخانه | 0.0.5 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Suraj Deshmukh |
| ایمیل نویسنده | surajdeshmukh96@gmail.com |
| آدرس صفحه اصلی | https://github.com/suraj-deshmukh/Covid19India |
| آدرس اینترنتی | https://pypi.org/project/Covid19India/ |
| مجوز | MIT LICENSE |
# Covid19India
A Python3 Library to get India's Covid-19 Patient Count.
# Installation
pip3 install Covid19India
# Requirements
* requests
* BeautifulSoup
## Usage
### To get India's total count
In [1]: from Covid19India import CovidIndia
In [2]: obj = CovidIndia()
In [3]: stats = obj.getstats()
In [4]: stats['total']
Out[4]: {'active': 44029, 'recovered': 20917, 'deaths': 2206, 'confirmed': 67152}
### To get State and UT wise data
In [5]: stats['states']
Out[5]:
{'Andaman and Nicobar Islands': {'active': 0,
'recovered': 33,
'confirmed': 33,
'deaths': 0},
'Andhra Pradesh': {'active': 1010,
'recovered': 925,
'confirmed': 1980,
'deaths': 45},
'Arunachal Pradesh': {'active': 0,
'recovered': 1,
'confirmed': 1,
'deaths': 0},
'Assam': {'active': 27, 'recovered': 34, 'confirmed': 63, 'deaths': 2},
'Bihar': {'active': 325, 'recovered': 365, 'confirmed': 696, 'deaths': 6},
'Chandigarh': {'active': 143, 'recovered': 24, 'confirmed': 169, 'deaths': 2},
'Chhattisgarh': {'active': 10, 'recovered': 49, 'confirmed': 59, 'deaths': 0},
'Dadar Nagar Haveli': {'active': 1,
'recovered': 0,
'confirmed': 1,
'deaths': 0},
'Delhi': {'active': 4781, 'recovered': 2069, 'confirmed': 6923, 'deaths': 73},
'Goa': {'active': 0, 'recovered': 7, 'confirmed': 7, 'deaths': 0},
'Gujarat': {'active': 5156,
'recovered': 2545,
'confirmed': 8194,
'deaths': 493},
'Haryana': {'active': 393, 'recovered': 300, 'confirmed': 703, 'deaths': 10},
'Himachal Pradesh': {'active': 14,
'recovered': 39,
'confirmed': 55,
'deaths': 2},
'Jammu and Kashmir': {'active': 469,
'recovered': 383,
'confirmed': 861,
'deaths': 9},
'Jharkhand': {'active': 76, 'recovered': 78, 'confirmed': 157, 'deaths': 3},
'Karnataka': {'active': 393,
'recovered': 424,
'confirmed': 848,
'deaths': 31},
'Kerala': {'active': 19, 'recovered': 489, 'confirmed': 512, 'deaths': 4},
'Ladakh': {'active': 21, 'recovered': 21, 'confirmed': 42, 'deaths': 0},
'Madhya Pradesh': {'active': 1723,
'recovered': 1676,
'confirmed': 3614,
'deaths': 215},
'Maharashtra': {'active': 17140,
'recovered': 4199,
'confirmed': 22171,
'deaths': 832},
'Manipur': {'active': 0, 'recovered': 2, 'confirmed': 2, 'deaths': 0},
'Meghalaya': {'active': 2, 'recovered': 10, 'confirmed': 13, 'deaths': 1},
'Mizoram': {'active': 0, 'recovered': 1, 'confirmed': 1, 'deaths': 0},
'Odisha': {'active': 306, 'recovered': 68, 'confirmed': 377, 'deaths': 3},
'Puducherry': {'active': 3, 'recovered': 6, 'confirmed': 9, 'deaths': 0},
'Punjab': {'active': 1626, 'recovered': 166, 'confirmed': 1823, 'deaths': 31},
'Rajasthan': {'active': 1531,
'recovered': 2176,
'confirmed': 3814,
'deaths': 107},
'Tamil Nadu': {'active': 5198,
'recovered': 1959,
'confirmed': 7204,
'deaths': 47},
'Telengana': {'active': 416,
'recovered': 750,
'confirmed': 1196,
'deaths': 30},
'Tripura': {'active': 148, 'recovered': 2, 'confirmed': 150, 'deaths': 0},
'Uttarakhand': {'active': 21, 'recovered': 46, 'confirmed': 68, 'deaths': 1},
'Uttar Pradesh': {'active': 1740,
'recovered': 1653,
'confirmed': 3467,
'deaths': 74},
'West Bengal': {'active': 1337,
'recovered': 417,
'confirmed': 1939,
'deaths': 185}}
### To get time at which data has been updated
In [6]: stats['time']
Out[6]: '11 May 2020, 08:00 IST (GMT+5:30)'
### To get India's Historical data
In [7]: hist = obj.gethistorical()
In [8]: hist
Out[8]:
{'cases': {'1/22/20': 0,
'1/23/20': 0,
'1/24/20': 0,
'1/25/20': 0,
'1/26/20': 0,
'1/27/20': 0,
'1/28/20': 0,
'1/29/20': 0,
'1/30/20': 1,
'1/31/20': 1,
'2/1/20': 1,
'2/2/20': 2,
'2/3/20': 3,
'2/4/20': 3,
'2/5/20': 3,
'2/6/20': 3,
'2/7/20': 3,
'2/8/20': 3,
'2/9/20': 3,
'2/10/20': 3,
'2/11/20': 3,
'2/12/20': 3,
'2/13/20': 3,
'2/14/20': 3,
'2/15/20': 3,
'2/16/20': 3,
'2/17/20': 3,
'2/18/20': 3,
'2/19/20': 3,
'2/20/20': 3,
'2/21/20': 3,
'2/22/20': 3,
'2/23/20': 3,
'2/24/20': 3,
'2/25/20': 3,
'2/26/20': 3,
'2/27/20': 3,
'2/28/20': 3,
'2/29/20': 3,
'3/1/20': 3,
'3/2/20': 5,
'3/3/20': 5,
'3/4/20': 28,
'3/5/20': 30,
'3/6/20': 31,
'3/7/20': 34,
'3/8/20': 39,
'3/9/20': 43,
'3/10/20': 56,
'3/11/20': 62,
'3/12/20': 73,
'3/13/20': 82,
'3/14/20': 102,
'3/15/20': 113,
'3/16/20': 119,
'3/17/20': 142,
'3/18/20': 156,
'3/19/20': 194,
'3/20/20': 244,
'3/21/20': 330,
'3/22/20': 396,
'3/23/20': 499,
'3/24/20': 536,
'3/25/20': 657,
'3/26/20': 727,
'3/27/20': 887,
'3/28/20': 987,
'3/29/20': 1024,
'3/30/20': 1251,
'3/31/20': 1397,
'4/1/20': 1998,
'4/2/20': 2543,
'4/3/20': 2567,
'4/4/20': 3082,
'4/5/20': 3588,
'4/6/20': 4778,
'4/7/20': 5311,
'4/8/20': 5916,
'4/9/20': 6725,
'4/10/20': 7598,
'4/11/20': 8446,
'4/12/20': 9205,
'4/13/20': 10453,
'4/14/20': 11487,
'4/15/20': 12322,
'4/16/20': 13430,
'4/17/20': 14352,
'4/18/20': 15722,
'4/19/20': 17615,
'4/20/20': 18539,
'4/21/20': 20080,
'4/22/20': 21370,
'4/23/20': 23077,
'4/24/20': 24530,
'4/25/20': 26283,
'4/26/20': 27890,
'4/27/20': 29451,
'4/28/20': 31324,
'4/29/20': 33062,
'4/30/20': 34863,
'5/1/20': 37257,
'5/2/20': 39699,
'5/3/20': 42505,
'5/4/20': 46437,
'5/5/20': 49400,
'5/6/20': 52987,
'5/7/20': 56351,
'5/8/20': 59695,
'5/9/20': 62808,
'5/10/20': 67161},
'deaths': {'1/22/20': 0,
'1/23/20': 0,
'1/24/20': 0,
'1/25/20': 0,
'1/26/20': 0,
'1/27/20': 0,
'1/28/20': 0,
'1/29/20': 0,
'1/30/20': 0,
'1/31/20': 0,
'2/1/20': 0,
'2/2/20': 0,
'2/3/20': 0,
'2/4/20': 0,
'2/5/20': 0,
'2/6/20': 0,
'2/7/20': 0,
'2/8/20': 0,
'2/9/20': 0,
'2/10/20': 0,
'2/11/20': 0,
'2/12/20': 0,
'2/13/20': 0,
'2/14/20': 0,
'2/15/20': 0,
'2/16/20': 0,
'2/17/20': 0,
'2/18/20': 0,
'2/19/20': 0,
'2/20/20': 0,
'2/21/20': 0,
'2/22/20': 0,
'2/23/20': 0,
'2/24/20': 0,
'2/25/20': 0,
'2/26/20': 0,
'2/27/20': 0,
'2/28/20': 0,
'2/29/20': 0,
'3/1/20': 0,
'3/2/20': 0,
'3/3/20': 0,
'3/4/20': 0,
'3/5/20': 0,
'3/6/20': 0,
'3/7/20': 0,
'3/8/20': 0,
'3/9/20': 0,
'3/10/20': 0,
'3/11/20': 1,
'3/12/20': 1,
'3/13/20': 2,
'3/14/20': 2,
'3/15/20': 2,
'3/16/20': 2,
'3/17/20': 3,
'3/18/20': 3,
'3/19/20': 4,
'3/20/20': 5,
'3/21/20': 4,
'3/22/20': 7,
'3/23/20': 10,
'3/24/20': 10,
'3/25/20': 12,
'3/26/20': 20,
'3/27/20': 20,
'3/28/20': 24,
'3/29/20': 27,
'3/30/20': 32,
'3/31/20': 35,
'4/1/20': 58,
'4/2/20': 72,
'4/3/20': 72,
'4/4/20': 86,
'4/5/20': 99,
'4/6/20': 136,
'4/7/20': 150,
'4/8/20': 178,
'4/9/20': 226,
'4/10/20': 246,
'4/11/20': 288,
'4/12/20': 331,
'4/13/20': 358,
'4/14/20': 393,
'4/15/20': 405,
'4/16/20': 448,
'4/17/20': 486,
'4/18/20': 521,
'4/19/20': 559,
'4/20/20': 592,
'4/21/20': 645,
'4/22/20': 681,
'4/23/20': 721,
'4/24/20': 780,
'4/25/20': 825,
'4/26/20': 881,
'4/27/20': 939,
'4/28/20': 1008,
'4/29/20': 1079,
'4/30/20': 1154,
'5/1/20': 1223,
'5/2/20': 1323,
'5/3/20': 1391,
'5/4/20': 1566,
'5/5/20': 1693,
'5/6/20': 1785,
'5/7/20': 1889,
'5/8/20': 1985,
'5/9/20': 2101,
'5/10/20': 2212},
'recovered': {'1/22/20': 0,
'1/23/20': 0,
'1/24/20': 0,
'1/25/20': 0,
'1/26/20': 0,
'1/27/20': 0,
'1/28/20': 0,
'1/29/20': 0,
'1/30/20': 0,
'1/31/20': 0,
'2/1/20': 0,
'2/2/20': 0,
'2/3/20': 0,
'2/4/20': 0,
'2/5/20': 0,
'2/6/20': 0,
'2/7/20': 0,
'2/8/20': 0,
'2/9/20': 0,
'2/10/20': 0,
'2/11/20': 0,
'2/12/20': 0,
'2/13/20': 0,
'2/14/20': 0,
'2/15/20': 0,
'2/16/20': 3,
'2/17/20': 3,
'2/18/20': 3,
'2/19/20': 3,
'2/20/20': 3,
'2/21/20': 3,
'2/22/20': 3,
'2/23/20': 3,
'2/24/20': 3,
'2/25/20': 3,
'2/26/20': 3,
'2/27/20': 3,
'2/28/20': 3,
'2/29/20': 3,
'3/1/20': 3,
'3/2/20': 3,
'3/3/20': 3,
'3/4/20': 3,
'3/5/20': 3,
'3/6/20': 3,
'3/7/20': 3,
'3/8/20': 3,
'3/9/20': 3,
'3/10/20': 4,
'3/11/20': 4,
'3/12/20': 4,
'3/13/20': 4,
'3/14/20': 4,
'3/15/20': 13,
'3/16/20': 13,
'3/17/20': 14,
'3/18/20': 14,
'3/19/20': 15,
'3/20/20': 20,
'3/21/20': 23,
'3/22/20': 27,
'3/23/20': 27,
'3/24/20': 40,
'3/25/20': 43,
'3/26/20': 45,
'3/27/20': 73,
'3/28/20': 84,
'3/29/20': 95,
'3/30/20': 102,
'3/31/20': 123,
'4/1/20': 148,
'4/2/20': 191,
'4/3/20': 192,
'4/4/20': 229,
'4/5/20': 229,
'4/6/20': 375,
'4/7/20': 421,
'4/8/20': 506,
'4/9/20': 620,
'4/10/20': 774,
'4/20/20': 3273,
'4/21/20': 3975,
'4/22/20': 4370,
'4/23/20': 5012,
'4/24/20': 5498,
'4/25/20': 5939,
'4/26/20': 6523,
'4/27/20': 7137,
'4/28/20': 7747,
'4/29/20': 8437,
'4/30/20': 9068,
'5/1/20': 10007,
'5/2/20': 10819,
'5/3/20': 11775,
'5/4/20': 12847,
'5/5/20': 14142,
'5/6/20': 15331,
'5/7/20': 16776,
'5/8/20': 17887,
'5/9/20': 19301,
'5/10/20': 20969}}11/20': 969,
'4/12/20': 1080,
'4/13/20': 1181,
'4/14/20': 1359,
'4/15/20': 1432,
'4/16/20': 1768,
'4/17/20': 2041,
'4/18/20': 2463,
'4/19/20': 2854,
'4/20/20': 3273,
'4/21/20': 3975,
'4/22/20': 4370,
'4/23/20': 5012,
'4/24/20': 5498,
'4/25/20': 5939,
'4/26/20': 6523,
'4/27/20': 7137,
'4/28/20': 7747,
'4/29/20': 8437,
'4/30/20': 9068,
'5/1/20': 10007,
'5/2/20': 10819,
'5/3/20': 11775,
'5/4/20': 12847,
'5/5/20': 14142,
'5/6/20': 15331,
'5/7/20': 16776,
'5/8/20': 17887,
'5/9/20': 19301,
'5/10/20': 20969}}
# Data Source
* [Ministry of Health and Family Welfar Govt of India](https://www.mohfw.gov.in/): For latest counts
* [NovelCovid](https://github.com/NovelCOVID/API): For historical data
نیازمندی
| مقدار | نام |
|---|---|
| - | requests |
| - | beautifulsoup4 |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3 | Python |
نحوه نصب
نصب پکیج whl Covid19India-0.0.5:
pip install Covid19India-0.0.5.whl
نصب پکیج tar.gz Covid19India-0.0.5:
pip install Covid19India-0.0.5.tar.gz