A Python Dashboard in the time of Corona
Welcome to COVID-19 India Matplotlib Overview where I track coronavirus total cases, deaths, new cases and recovered in India. The dashboard is automatically updated every day. Requesting all to be safe and take care! My prayers are with all.
• Sakthisree • 2 min read
India
Last update: 2021-04-19
Confirmed cases:
15314714 (+256828)
Confirmed deaths:
180550 (+1757)
Recovered:
13103220 (+154234)
| State | Confirmed | Deceased | Recovered | PConfirmed | PDeceased | PRecovered | Fatality Rate | |
|---|---|---|---|---|---|---|---|---|
| 0 | India | 15314714 | 180550 | 13103220 | 15057886 | 178793 | 12948986 | 1.180000 |
| 1 | Maharashtra | 3898262 | 60824 | 3159240 | 3839338 | 60473 | 3106828 | 1.560000 |
| 2 | Kerala | 1253069 | 4951 | 1144791 | 1239425 | 4930 | 1140486 | 0.400000 |
| 3 | Karnataka | 1176850 | 13497 | 1021250 | 1161065 | 13351 | 1014152 | 1.150000 |
| 4 | Tamil Nadu | 1002392 | 13157 | 914119 | 991451 | 13113 | 907947 | 1.310000 |
| 5 | Andhra Pradesh | 968000 | 7437 | 912510 | 962037 | 7410 | 909941 | 0.770000 |
| 6 | Uttar Pradesh | 879831 | 9997 | 661311 | 851620 | 9830 | 650333 | 1.140000 |
| 7 | Delhi | 877146 | 12361 | 787898 | 853460 | 12121 | 766398 | 1.410000 |
| 8 | West Bengal | 668353 | 10606 | 604329 | 659927 | 10568 | 599721 | 1.590000 |
| 9 | Chhattisgarh | 558674 | 6083 | 423591 | 544840 | 5908 | 410913 | 1.090000 |
| 10 | Rajasthan | 426584 | 3204 | 346739 | 414617 | 3151 | 344331 | 0.750000 |
| 11 | Madhya Pradesh | 420977 | 4636 | 341783 | 408080 | 4557 | 334947 | 1.100000 |
| 12 | Gujarat | 415972 | 5494 | 341724 | 404569 | 5377 | 337545 | 1.320000 |
| 13 | Odisha | 372703 | 2001 | 347637 | 368258 | 1997 | 346134 | 0.540000 |
| 14 | Haryana | 363813 | 3448 | 315002 | 356971 | 3415 | 311339 | 0.950000 |
| 15 | Telangana | 355433 | 1838 | 314441 | 351424 | 1824 | 312563 | 0.520000 |
| 16 | Bihar | 331604 | 1790 | 280286 | 324117 | 1749 | 277667 | 0.540000 |
| 17 | Punjab | 304660 | 7985 | 261364 | 300038 | 7902 | 257946 | 2.620000 |
| 18 | Assam | 225822 | 1142 | 217017 | 224455 | 1135 | 216705 | 0.510000 |
| 19 | Jharkhand | 167235 | 1502 | 135256 | 162945 | 1456 | 133479 | 0.900000 |
| 20 | Jammu and Kashmir | 148208 | 2063 | 133981 | 146692 | 2057 | 133168 | 1.390000 |
| 21 | Uttarakhand | 126193 | 1892 | 102899 | 124033 | 1868 | 102367 | 1.500000 |
| 22 | Himachal Pradesh | 78070 | 1190 | 67072 | 76375 | 1177 | 66479 | 1.520000 |
| 23 | Goa | 68152 | 900 | 59705 | 67212 | 883 | 59277 | 1.320000 |
| 24 | Puducherry | 48336 | 713 | 42931 | 47771 | 708 | 42595 | 1.480000 |
| 25 | Chandigarh | 34546 | 417 | 30325 | 33934 | 413 | 29896 | 1.210000 |
| 26 | Tripura | 34031 | 391 | 33152 | 33999 | 391 | 33137 | 1.150000 |
| 27 | Manipur | 29775 | 377 | 29102 | 29721 | 376 | 29090 | 1.270000 |
| 28 | Arunachal Pradesh | 17052 | 56 | 16820 | 16987 | 56 | 16809 | 0.330000 |
| 29 | Meghalaya | 14979 | 154 | 14071 | 14869 | 153 | 14038 | 1.030000 |
| 30 | Nagaland | 12568 | 94 | 12110 | 12555 | 94 | 12110 | 0.750000 |
| 31 | Ladakh | 12131 | 133 | 10351 | 12131 | 133 | 10351 | 1.100000 |
| 32 | Sikkim | 6705 | 136 | 6017 | 6696 | 136 | 6014 | 2.030000 |
| 33 | Andaman and Nicobar Islands | 5421 | 64 | 5212 | 5390 | 64 | 5200 | 1.180000 |
| 34 | Dadra and Nagar Haveli and Daman and Diu | 4981 | 4 | 3880 | 4860 | 4 | 3802 | 0.080000 |
| 35 | Mizoram | 4904 | 12 | 4518 | 4859 | 12 | 4509 | 0.240000 |
| 36 | Lakshadweep | 1282 | 1 | 786 | 1165 | 1 | 769 | 0.080000 |