Metadata-Version: 2.1
Name: Covid19India
Version: 0.0.1
Summary: A Python Library to get India's Total Covid patients stats as well State wise stats
Home-page: https://github.com/suraj-deshmukh/Covid19India
Author: Suraj Deshmukh
Author-email: surajdeshmukh96@gmail.com
License: MIT LICENSE
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}}
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
