AkShare-疫情数据-CSSE数据
作者寄语
本次在 COVID-19 原有接口的基础上增加：美国约翰·霍普金斯大学系统科学与工程中心（JHU CSSE）收集各国卫生机构公开 2019-2020 年新型冠状病毒的数据存储项目的数据接口。
AkShare-更新记录
- "covid_19_csse_daily" # COVID-19-CSSE每日数据
- "covid_19_csse_global_confirmed" # COVID-19-CSSE-全球确诊
- "covid_19_csse_global_death" # COVID-19-CSSE-全球死亡
- "covid_19_csse_global_recovered" # COVID-19-CSSE-全球治愈
- "covid_19_csse_us_death" # COVID-19-CSSE-美国死亡
- "covid_19_csse_us_confirmed" # COVID-19-CSSE-美国确诊
COVID-19-CSSE
每日报告
接口: covid_19_csse_daily
目标地址: https://github.com/CSSEGISandData/COVID-19
描述: 获取 「COVID-19」 每个自然日的全球统计数据
限量: 单次返回指定 「date」 的所有历史数据
输入参数
名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
date | str | Y | date="2020-04-06"; 从 「2020-01-22」 开始至今 |
输出参数
名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
Province/State | str | Y | Province/State: China - province name; US/Canada/Australia/ - city name, state/province name; Others - name of the event (e.g., "Diamond Princess" cruise ship); other countries - blank. |
Country/Region | str | Y | country/region name conforming to WHO (will be updated). |
Last Update | float | Y | MM/DD/YYYY HH:mm (24 hour format, in UTC). |
Confirmed | float | Y | the number of confirmed cases. For Hubei Province: from Feb 13 (GMT +8), we report both clinically diagnosed and lab-confirmed cases. For lab-confirmed cases only (Before Feb 17), please refer to who_covid_19_situation_reports. For Italy, diagnosis standard might be changed since Feb 27 to "slow the growth of new case numbers." |
Deaths | float | Y | the number of deaths. |
Recovered | float | Y | the number of recovered cases. |
接口示例
import akshare as ak
covid_19_csse_daily_df = ak.covid_19_csse_daily(date="2020-04-06")
print(covid_19_csse_daily_df)
数据示例
FIPS Admin2 ... Active Combined_Key
0 45001.0 Abbeville ... 0 Abbeville, South Carolina, US
1 22001.0 Acadia ... 0 Acadia, Louisiana, US
2 51001.0 Accomack ... 0 Accomack, Virginia, US
3 16001.0 Ada ... 0 Ada, Idaho, US
4 19001.0 Adair ... 0 Adair, Iowa, US
... ... ... ... ...
2804 NaN NaN ... 229 West Bank and Gaza
2805 NaN NaN ... 4 ,,Western Sahara
2806 NaN NaN ... 33 Zambia
2807 NaN NaN ... 9 Zimbabwe
2808 NaN unassigned ... 0 unassigned, Wyoming, US
美国确诊
接口: covid_19_csse_us_confirmed
目标地址: https://github.com/CSSEGISandData/COVID-19
描述: 获取美国确诊数据所有历史数据
限量: 单次返回所有历史数据，每日更新
输入参数
名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
- | - | - | - |
输出参数
名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
Province/State | str | Y | Province/State: China - province name; US/Canada/Australia/ - city name, state/province name; Others - name of the event (e.g., "Diamond Princess" cruise ship); other countries - blank. |
Country/Region | str | Y | country/region name conforming to WHO (will be updated). |
Lat and Long | float | Y | a coordinates reference for the user. |
Date fields | float | Y | M/DD/YYYY (UTC), the same data as MM-DD-YYYY.csv file. |
接口示例
import akshare as ak
covid_19_csse_us_confirmed_df = ak.covid_19_csse_us_confirmed()
print(covid_19_csse_us_confirmed_df)
数据示例
UID iso2 iso3 code3 FIPS Admin2 \
0 16 AS ASM 16 60.0 NaN
1 316 GU GUM 316 66.0 NaN
2 580 MP MNP 580 69.0 NaN
3 630 PR PRI 630 72.0 NaN
4 850 VI VIR 850 78.0 NaN
... ... ... ... ... ...
3248 84090053 US USA 840 90053.0 Unassigned
3249 84090054 US USA 840 90054.0 Unassigned
3250 84090055 US USA 840 90055.0 Unassigned
3251 84090056 US USA 840 90056.0 Unassigned
3252 84099999 US USA 840 99999.0 NaN
Province_State Country_Region Lat Long_ \
0 American Samoa US -14.2710 -170.1320
1 Guam US 13.4443 144.7937
2 Northern Mariana Islands US 15.0979 145.6739
3 Puerto Rico US 18.2208 -66.5901
4 Virgin Islands US 18.3358 -64.8963
... ... ... ...
3248 Washington US 0.0000 0.0000
3249 West Virginia US 0.0000 0.0000
3250 Wisconsin US 0.0000 0.0000
3251 Wyoming US 0.0000 0.0000
3252 Grand Princess US 0.0000 0.0000
Combined_Key 1/22/20 1/23/20 1/24/20 1/25/20 \
0 American Samoa, US 0 0 0 0
1 Guam, US 0 0 0 0
2 Northern Mariana Islands, US 0 0 0 0
3 Puerto Rico, US 0 0 0 0
4 Virgin Islands, US 0 0 0 0
... ... ... ... ...
3248 Unassigned, Washington, US 0 0 0 0
3249 Unassigned, West Virginia, US 0 0 0 0
3250 Unassigned, Wisconsin, US 0 0 0 0
3251 Unassigned, Wyoming, US 0 0 0 0
3252 Grand Princess, US 0 0 0 0
3/30/20 3/31/20 4/1/20 4/2/20 4/3/20 4/4/20 4/5/20 4/6/20
0 0 0 0 0 0 0 0 0
1 58 69 77 82 84 93 112 113
2 0 2 6 6 6 6 6 6
3 174 239 286 316 316 452 475 513
4 0 30 30 30 37 40 42 43
... ... ... ... ... ... ... ...
3248 274 274 303 344 501 483 533 648
3249 0 0 0 0 0 0 0 0
3250 0 0 0 0 0 0 0 0
3251 0 0 0 0 0 0 0 0
3252 103 103 103 103 103 103 103 103
美国死亡
接口: covid_19_csse_us_death
目标地址: https://github.com/CSSEGISandData/COVID-19
描述: 获取美国死亡数据所有历史数据
限量: 单次返回所有历史数据，每日更新
输入参数
名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
- | - | - | - |
输出参数
名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
Province/State | str | Y | Province/State: China - province name; US/Canada/Australia/ - city name, state/province name; Others - name of the event (e.g., "Diamond Princess" cruise ship); other countries - blank. |
Country/Region | str | Y | country/region name conforming to WHO (will be updated). |
Lat and Long | float | Y | a coordinates reference for the user. |
Date fields | float | Y | M/DD/YYYY (UTC), the same data as MM-DD-YYYY.csv file. |
接口示例
import akshare as ak
covid_19_csse_us_death_df = ak.covid_19_csse_us_death()
print(covid_19_csse_us_death_df)
数据示例
UID iso2 iso3 code3 FIPS Admin2 \
0 16 AS ASM 16 60.0 NaN
1 316 GU GUM 316 66.0 NaN
2 580 MP MNP 580 69.0 NaN
3 630 PR PRI 630 72.0 NaN
4 850 VI VIR 850 78.0 NaN
... ... ... ... ... ...
3248 84090053 US USA 840 90053.0 Unassigned
3249 84090054 US USA 840 90054.0 Unassigned
3250 84090055 US USA 840 90055.0 Unassigned
3251 84090056 US USA 840 90056.0 Unassigned
3252 84099999 US USA 840 99999.0 NaN
Province_State Country_Region Lat Long_ \
0 American Samoa US -14.2710 -170.1320
1 Guam US 13.4443 144.7937
2 Northern Mariana Islands US 15.0979 145.6739
3 Puerto Rico US 18.2208 -66.5901
4 Virgin Islands US 18.3358 -64.8963
... ... ... ...
3248 Washington US 0.0000 0.0000
3249 West Virginia US 0.0000 0.0000
3250 Wisconsin US 0.0000 0.0000
3251 Wyoming US 0.0000 0.0000
3252 Grand Princess US 0.0000 0.0000
Combined_Key 1/22/20 1/23/20 1/24/20 1/25/20 \
0 American Samoa, US 0 0 0 0
1 Guam, US 0 0 0 0
2 Northern Mariana Islands, US 0 0 0 0
3 Puerto Rico, US 0 0 0 0
4 Virgin Islands, US 0 0 0 0
... ... ... ... ...
3248 Unassigned, Washington, US 0 0 0 0
3249 Unassigned, West Virginia, US 0 0 0 0
3250 Unassigned, Wisconsin, US 0 0 0 0
3251 Unassigned, Wyoming, US 0 0 0 0
3252 Grand Princess, US 0 0 0 0
3/30/20 3/31/20 4/1/20 4/2/20 4/3/20 4/4/20 4/5/20 4/6/20
0 0 0 0 0 0 0 0 0
1 58 69 77 82 84 93 112 113
2 0 2 6 6 6 6 6 6
3 174 239 286 316 316 452 475 513
4 0 30 30 30 37 40 42 43
... ... ... ... ... ... ... ...
3248 274 274 303 344 501 483 533 648
3249 0 0 0 0 0 0 0 0
3250 0 0 0 0 0 0 0 0
3251 0 0 0 0 0 0 0 0
3252 103 103 103 103 103 103 103 103
全球确诊
接口: covid_19_csse_global_confirmed
目标地址: https://github.com/CSSEGISandData/COVID-19
描述: 获取全球确诊数据所有历史数据
限量: 单次返回所有历史数据，每日更新
输入参数
名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
- | - | - | - |
输出参数
名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
Province/State | str | Y | Province/State: China - province name; US/Canada/Australia/ - city name, state/province name; Others - name of the event (e.g., "Diamond Princess" cruise ship); other countries - blank. |
Country/Region | str | Y | country/region name conforming to WHO (will be updated). |
Lat and Long | float | Y | a coordinates reference for the user. |
Date fields | float | Y | M/DD/YYYY (UTC), the same data as MM-DD-YYYY.csv file. |
接口示例
import akshare as ak
covid_19_csse_global_confirmed_df = ak.covid_19_csse_global_confirmed()
print(covid_19_csse_global_confirmed_df)
数据示例
UID iso2 iso3 code3 FIPS Admin2 \
0 16 AS ASM 16 60.0 NaN
1 316 GU GUM 316 66.0 NaN
2 580 MP MNP 580 69.0 NaN
3 630 PR PRI 630 72.0 NaN
4 850 VI VIR 850 78.0 NaN
... ... ... ... ... ...
3248 84090053 US USA 840 90053.0 Unassigned
3249 84090054 US USA 840 90054.0 Unassigned
3250 84090055 US USA 840 90055.0 Unassigned
3251 84090056 US USA 840 90056.0 Unassigned
3252 84099999 US USA 840 99999.0 NaN
Province_State Country_Region Lat Long_ \
0 American Samoa US -14.2710 -170.1320
1 Guam US 13.4443 144.7937
2 Northern Mariana Islands US 15.0979 145.6739
3 Puerto Rico US 18.2208 -66.5901
4 Virgin Islands US 18.3358 -64.8963
... ... ... ...
3248 Washington US 0.0000 0.0000
3249 West Virginia US 0.0000 0.0000
3250 Wisconsin US 0.0000 0.0000
3251 Wyoming US 0.0000 0.0000
3252 Grand Princess US 0.0000 0.0000
Combined_Key 1/22/20 1/23/20 1/24/20 1/25/20 \
0 American Samoa, US 0 0 0 0
1 Guam, US 0 0 0 0
2 Northern Mariana Islands, US 0 0 0 0
3 Puerto Rico, US 0 0 0 0
4 Virgin Islands, US 0 0 0 0
... ... ... ... ...
3248 Unassigned, Washington, US 0 0 0 0
3249 Unassigned, West Virginia, US 0 0 0 0
3250 Unassigned, Wisconsin, US 0 0 0 0
3251 Unassigned, Wyoming, US 0 0 0 0
3252 Grand Princess, US 0 0 0 0
1/26/20 1/27/20 1/28/20 1/29/20 1/30/20 1/31/20 2/1/20 2/2/20 \
0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0
... ... ... ... ... ... ... ...
3248 0 0 0 0 0 0 0 0
3249 0 0 0 0 0 0 0 0
3250 0 0 0 0 0 0 0 0
3251 0 0 0 0 0 0 0 0
3252 0 0 0 0 0 0 0 0
3/30/20 3/31/20 4/1/20 4/2/20 4/3/20 4/4/20 4/5/20 4/6/20
0 0 0 0 0 0 0 0 0
1 58 69 77 82 84 93 112 113
2 0 2 6 6 6 6 6 6
3 174 239 286 316 316 452 475 513
4 0 30 30 30 37 40 42 43
... ... ... ... ... ... ... ...
3248 274 274 303 344 501 483 533 648
3249 0 0 0 0 0 0 0 0
3250 0 0 0 0 0 0 0 0
3251 0 0 0 0 0 0 0 0
3252 103 103 103 103 103 103 103 103
全球死亡
接口: covid_19_csse_global_death
目标地址: https://github.com/CSSEGISandData/COVID-19
描述: 获取全球死亡数据所有历史数据
限量: 单次返回所有历史数据，每日更新
输入参数
名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
- | - | - | - |
输出参数
名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
Province/State | str | Y | Province/State: China - province name; US/Canada/Australia/ - city name, state/province name; Others - name of the event (e.g., "Diamond Princess" cruise ship); other countries - blank. |
Country/Region | str | Y | country/region name conforming to WHO (will be updated). |
Lat and Long | float | Y | a coordinates reference for the user. |
Date fields | float | Y | M/DD/YYYY (UTC), the same data as MM-DD-YYYY.csv file. |
接口示例
import akshare as ak
covid_19_csse_global_death_df = ak.covid_19_csse_global_death()
print(covid_19_csse_global_death_df)
数据示例
UID iso2 iso3 code3 FIPS Admin2 \
0 16 AS ASM 16 60.0 NaN
1 316 GU GUM 316 66.0 NaN
2 580 MP MNP 580 69.0 NaN
3 630 PR PRI 630 72.0 NaN
4 850 VI VIR 850 78.0 NaN
... ... ... ... ... ...
3248 84090053 US USA 840 90053.0 Unassigned
3249 84090054 US USA 840 90054.0 Unassigned
3250 84090055 US USA 840 90055.0 Unassigned
3251 84090056 US USA 840 90056.0 Unassigned
3252 84099999 US USA 840 99999.0 NaN
Province_State Country_Region Lat Long_ \
0 American Samoa US -14.2710 -170.1320
1 Guam US 13.4443 144.7937
2 Northern Mariana Islands US 15.0979 145.6739
3 Puerto Rico US 18.2208 -66.5901
4 Virgin Islands US 18.3358 -64.8963
... ... ... ...
3248 Washington US 0.0000 0.0000
3249 West Virginia US 0.0000 0.0000
3250 Wisconsin US 0.0000 0.0000
3251 Wyoming US 0.0000 0.0000
3252 Grand Princess US 0.0000 0.0000
Combined_Key 1/22/20 1/23/20 1/24/20 1/25/20 \
0 American Samoa, US 0 0 0 0
1 Guam, US 0 0 0 0
2 Northern Mariana Islands, US 0 0 0 0
3 Puerto Rico, US 0 0 0 0
4 Virgin Islands, US 0 0 0 0
... ... ... ... ...
3248 Unassigned, Washington, US 0 0 0 0
3249 Unassigned, West Virginia, US 0 0 0 0
3250 Unassigned, Wisconsin, US 0 0 0 0
3251 Unassigned, Wyoming, US 0 0 0 0
3252 Grand Princess, US 0 0 0 0
1/26/20 1/27/20 1/28/20 1/29/20 1/30/20 1/31/20 2/1/20 2/2/20 \
0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0
... ... ... ... ... ... ... ...
3248 0 0 0 0 0 0 0 0
3249 0 0 0 0 0 0 0 0
3250 0 0 0 0 0 0 0 0
3251 0 0 0 0 0 0 0 0
3252 0 0 0 0 0 0 0 0
3/30/20 3/31/20 4/1/20 4/2/20 4/3/20 4/4/20 4/5/20 4/6/20
0 0 0 0 0 0 0 0 0
1 58 69 77 82 84 93 112 113
2 0 2 6 6 6 6 6 6
3 174 239 286 316 316 452 475 513
4 0 30 30 30 37 40 42 43
... ... ... ... ... ... ... ...
3248 274 274 303 344 501 483 533 648
3249 0 0 0 0 0 0 0 0
3250 0 0 0 0 0 0 0 0
3251 0 0 0 0 0 0 0 0
3252 103 103 103 103 103 103 103 103
全球治愈
接口: covid_19_csse_global_recovered
目标地址: https://github.com/CSSEGISandData/COVID-19
描述: 获取全球治愈数据所有历史数据
限量: 单次返回所有历史数据，每日更新
输入参数
名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
- | - | - | - |
输出参数
名称 | 类型 | 默认显示 | 描述 |
|---|---|---|---|
Province/State | str | Y | Province/State: China - province name; US/Canada/Australia/ - city name, state/province name; Others - name of the event (e.g., "Diamond Princess" cruise ship); other countries - blank. |
Country/Region | str | Y | country/region name conforming to WHO (will be updated). |
Lat and Long | float | Y | a coordinates reference for the user. |
Date fields | float | Y | M/DD/YYYY (UTC), the same data as MM-DD-YYYY.csv file. |
接口示例
import akshare as ak
covid_19_csse_global_recovered_df = ak.covid_19_csse_global_recovered()
print(covid_19_csse_global_recovered_df)
数据示例
UID iso2 iso3 code3 FIPS Admin2 \
0 16 AS ASM 16 60.0 NaN
1 316 GU GUM 316 66.0 NaN
2 580 MP MNP 580 69.0 NaN
3 630 PR PRI 630 72.0 NaN
4 850 VI VIR 850 78.0 NaN
... ... ... ... ... ...
3248 84090053 US USA 840 90053.0 Unassigned
3249 84090054 US USA 840 90054.0 Unassigned
3250 84090055 US USA 840 90055.0 Unassigned
3251 84090056 US USA 840 90056.0 Unassigned
3252 84099999 US USA 840 99999.0 NaN
Province_State Country_Region Lat Long_ \
0 American Samoa US -14.2710 -170.1320
1 Guam US 13.4443 144.7937
2 Northern Mariana Islands US 15.0979 145.6739
3 Puerto Rico US 18.2208 -66.5901
4 Virgin Islands US 18.3358 -64.8963
... ... ... ...
3248 Washington US 0.0000 0.0000
3249 West Virginia US 0.0000 0.0000
3250 Wisconsin US 0.0000 0.0000
3251 Wyoming US 0.0000 0.0000
3252 Grand Princess US 0.0000 0.0000
Combined_Key 1/22/20 1/23/20 1/24/20 1/25/20 \
0 American Samoa, US 0 0 0 0
1 Guam, US 0 0 0 0
2 Northern Mariana Islands, US 0 0 0 0
3 Puerto Rico, US 0 0 0 0
4 Virgin Islands, US 0 0 0 0
... ... ... ... ...
3248 Unassigned, Washington, US 0 0 0 0
3249 Unassigned, West Virginia, US 0 0 0 0
3250 Unassigned, Wisconsin, US 0 0 0 0
3251 Unassigned, Wyoming, US 0 0 0 0
3252 Grand Princess, US 0 0 0 0
1/26/20 1/27/20 1/28/20 1/29/20 1/30/20 1/31/20 2/1/20 2/2/20 \
0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0
... ... ... ... ... ... ... ...
3248 0 0 0 0 0 0 0 0
3249 0 0 0 0 0 0 0 0
3250 0 0 0 0 0 0 0 0
3251 0 0 0 0 0 0 0 0
3252 0 0 0 0 0 0 0 0
3/30/20 3/31/20 4/1/20 4/2/20 4/3/20 4/4/20 4/5/20 4/6/20
0 0 0 0 0 0 0 0 0
1 58 69 77 82 84 93 112 113
2 0 2 6 6 6 6 6 6
3 174 239 286 316 316 452 475 513
4 0 30 30 30 37 40 42 43
... ... ... ... ... ... ... ...
3248 274 274 303 344 501 483 533 648
3249 0 0 0 0 0 0 0 0
3250 0 0 0 0 0 0 0 0
3251 0 0 0 0 0 0 0 0
3252 103 103 103 103 103 103 103 103