A Python Library to get India's Total Covid patients stats as well State wise stats
Project description
Covid19India
A Python Library to get India's Total Covid patients stats as well State wise stats
Usage
To get India's total count
In [1]: from Covid19India import CovidIndia
In [2]: obj = CovidIndia()
In [3]: total = obj.gettotal()
In [4]: total
Out[4]: {'active': 41472, 'recovered': 19358, 'deaths': 2109, 'confirmed': 62939}
To get Indian States and UT wise data
In [5]: state = obj.getstatetotal()
In [6]: state
Out[6]:
{'Andaman and Nicobar Islands': {'active': 0,
'recovered': 33,
'confirmed': 33,
'deaths': 0},
'Andhra Pradesh': {'active': 999,
'recovered': 887,
'confirmed': 1930,
'deaths': 44},
'Arunachal Pradesh': {'active': 0,
'recovered': 1,
'confirmed': 1,
'deaths': 0},
'Assam': {'active': 27, 'recovered': 34, 'confirmed': 63, 'deaths': 2},
'Bihar': {'active': 264, 'recovered': 322, 'confirmed': 591, 'deaths': 5},
'Chandigarh': {'active': 143, 'recovered': 24, 'confirmed': 169, 'deaths': 2},
'Chhattisgarh': {'active': 16, 'recovered': 43, 'confirmed': 59, 'deaths': 0},
'Dadar Nagar Haveli': {'active': 1,
'recovered': 0,
'confirmed': 1,
'deaths': 0},
'Delhi': {'active': 4449, 'recovered': 2020, 'confirmed': 6542, 'deaths': 73},
'Goa': {'active': 0, 'recovered': 7, 'confirmed': 7, 'deaths': 0},
'Gujarat': {'active': 5233,
'recovered': 2091,
'confirmed': 7796,
'deaths': 472},
'Haryana': {'active': 376, 'recovered': 290, 'confirmed': 675, 'deaths': 9},
'Himachal Pradesh': {'active': 10,
'recovered': 38,
'confirmed': 50,
'deaths': 2},
'Jammu and Kashmir': {'active': 459,
'recovered': 368,
'confirmed': 836,
'deaths': 9},
'Jharkhand': {'active': 75, 'recovered': 78, 'confirmed': 156, 'deaths': 3},
'Karnataka': {'active': 378,
'recovered': 386,
'confirmed': 794,
'deaths': 30},
'Kerala': {'active': 16, 'recovered': 485, 'confirmed': 505, 'deaths': 4},
'Ladakh': {'active': 25, 'recovered': 17, 'confirmed': 42, 'deaths': 0},
'Madhya Pradesh': {'active': 1723,
'recovered': 1676,
'confirmed': 3614,
'deaths': 215},
'Maharashtra': {'active': 15649,
'recovered': 3800,
'confirmed': 20228,
'deaths': 779},
'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': 229, 'recovered': 63, 'confirmed': 294, 'deaths': 2},
'Puducherry': {'active': 3, 'recovered': 6, 'confirmed': 9, 'deaths': 0},
'Punjab': {'active': 1574, 'recovered': 157, 'confirmed': 1762, 'deaths': 31},
'Rajasthan': {'active': 1576,
'recovered': 2026,
'confirmed': 3708,
'deaths': 106},
'Tamil Nadu': {'active': 4667,
'recovered': 1824,
'confirmed': 6535,
'deaths': 44},
'Telengana': {'active': 383,
'recovered': 750,
'confirmed': 1163,
'deaths': 30},
'Tripura': {'active': 132, 'recovered': 2, 'confirmed': 134, 'deaths': 0},
'Uttarakhand': {'active': 20, 'recovered': 46, 'confirmed': 67, 'deaths': 1},
'Uttar Pradesh': {'active': 1800,
'recovered': 1499,
'confirmed': 3373,
'deaths': 74},
'West Bengal': {'active': 1243,
'recovered': 372,
'confirmed': 1786,
'deaths': 171}}
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