{"id":41616,"date":"2023-04-12T18:15:00","date_gmt":"2024-02-11T18:11:17","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/"},"modified":"2024-04-29T23:11:03","modified_gmt":"2024-04-29T15:11:03","slug":"%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/","title":{"rendered":"\u4f7f\u7528Jupyter\u8fde\u63a5\u5230PostgreSQL"},"content":{"rendered":"

\u5728\u67e5\u770b\u5b58\u50a8\u5728\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u65f6\uff0c\u80fd\u591f\u91cd\u65b0\u6c47\u603b\u7ed3\u679c\u5e76\u901a\u8fc7\u56fe\u8868\u8fdb\u884c\u786e\u8ba4\u662f\u5f88\u65b9\u4fbf\u7684\u3002\u540c\u65f6\uff0c\u53ef\u4ee5\u5c06\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u548c\u601d\u8003\u7684\u5185\u5bb9\u8fdb\u884c\u8bb0\u5f55\uff0c\u4ee5\u4fbf\u56e2\u961f\u5171\u4eab\u3002\u5982\u679c\u4e0d\u9700\u8981\u5efa\u7acb\u4e13\u95e8\u7684\u4eea\u8868\u677f\uff0c\u4f7f\u7528Jupyter Notebook\u4f5c\u4e3a\u524d\u7aef\u662f\u5f88\u65b9\u4fbf\u7684\u3002<\/p>\n

\u51c6\u5907\u6267\u884c\u73af\u5883<\/h2>\n

\u4f7f\u7528Docker\u51c6\u5907\u6d4b\u8bd5\u73af\u5883\u3002\u4f7f\u7528Jupyter\uff08jupyter\/datascience-notebook\uff09\u548cPostgreSQL\uff08postgres\uff09\u8fd9\u4e24\u4e2a\u955c\u50cf\u3002<\/p>\n

\u9996\u5148\uff0c\u542f\u52a8 PostgreSQL \u5e76\u5c06\u5176\u4e0e Jupyter \u8fdb\u884c\u94fe\u63a5\u3002\u7531\u4e8e\u6211\u4eec\u5c06\u4f7f\u7528\u7a0d\u540e\u4ecb\u7ecd\u7684 pagila \u6d4b\u8bd5\u6570\u636e\uff0c\u56e0\u6b64\u6570\u636e\u5e93\u540d\u79f0\u4e5f\u8981\u76f8\u5e94\u5730\u8bbe\u7f6e\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u5b98\u65b9\u7684 Docker \u955c\u50cf\u6765\u914d\u7f6e\u5b83\uff0c\u53ea\u9700\u63d0\u4f9b\u76f8\u5e94\u7684\u73af\u5883\u53d8\u91cf\u5373\u53ef\u3002<\/p>\n

\n
\u9805\u76ee\u5185\u5bb9\u30b3\u30f3\u30c6\u30ca\u540ddb<\/em>\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u540dpagila<\/em>\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u63a5\u7d9a\u30e6\u30fc\u30b6\u30fc\u540dnbuser<\/em>\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u63a5\u7d9a\u30e6\u30fc\u30b6\u30fc\u306e\u30d1\u30b9\u30ef\u30fc\u30c9nbuser_secret<\/em><\/div>\n<\/div>\n
$ <\/span>docker run -d<\/span> --name<\/span>=<\/span>db \\<\/span>\r\n             -e<\/span> POSTGRES_DB<\/span>=<\/span>pagila \\<\/span>\r\n             -e<\/span> POSTGRES_USER<\/span>=<\/span>nbuser \\<\/span>\r\n             -e<\/span> POSTGRES_PASSWORD<\/span>=<\/span>nbuser_secret \\<\/span>\r\n             postgres:9.5\r\n<\/code><\/pre>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u4f7f\u75288080\u7aef\u53e3\u542f\u52a8Notebook\u3002\u4e3a\u4e86\u80fd\u591f\u4ece\u73af\u5883\u53d8\u91cf\u4e2d\u83b7\u53d6\u6570\u636e\u5e93\u8fde\u63a5\u4fe1\u606f\uff0c\u6211\u4eec\u4f1a\u5c06\u6570\u636e\u5e93\u5bb9\u5668\u94fe\u63a5\u8d77\u6765\u3002\u94fe\u63a5\u540e\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u4e3b\u673a\u540d\u8fdb\u884c\u5f15\u7528\u3002<\/p>\n
$ <\/span>docker run -d<\/span> --name<\/span>=<\/span>notebook \\<\/span>\r\n             -p<\/span> 8080:8888 \\<\/span>\r\n             --link<\/span>=<\/span>db:db \\<\/span>\r\n             jupyter\/datascience-notebook\r\n<\/code><\/pre>\n
\u53e6\u5916\uff0c\u5728\u8bbe\u7f6e\u8fde\u63a5\u4fe1\u606f\u65f6\uff0c\u8bf7\u6839\u636e\u5b9e\u9645\u6267\u884c\u73af\u5883\u8fdb\u884c\u914d\u7f6e\u3002\u53e6\u5916\uff0c\u4ece\u7b14\u8bb0\u672c\u8fde\u63a5\u7684\u7528\u6237\u5982\u679c\u8bbe\u7f6e\u4e3a\u53ea\u8bfb\u6743\u9650\uff0c\u53ef\u4ee5\u9632\u6b62\u610f\u5916\u9500\u6bc1\u6570\u636e\u7684\u9519\u8bef\u3002<\/p>\n
\u51c6\u5907\u6d4b\u8bd5\u6570\u636e<\/h2>\n
\u5728PostgreSQL\u5b98\u65b9\u7ef4\u57fa\u7684\u793a\u4f8b\u6570\u636e\u5e93\u4e2d\uff0c\u6709\u4e00\u4e9b\u8bb0\u5f55\u3002\u5728\u8fd9\u4e9b\u8bb0\u5f55\u4e2d\uff0c\u6211\u4eec\u5c1d\u8bd5\u4f7f\u7528\u4e00\u4e2a\u79fb\u690d\u81eaMySQL\u7684Sakila\u793a\u4f8b\u6570\u636e\u5e93\u7684pagila\u3002\u5728pagila\u4e2d\uff0c\u6211\u4eec\u9700\u8981\u6267\u884c\u4e24\u4e2aSQL\u6587\u4ef6\uff1a\u4e00\u4e2a\u662f\u8868\u7ed3\u6784\u6587\u4ef6\uff08pagila-schema.sql\uff09\uff0c\u53e6\u4e00\u4e2a\u662f\u6570\u636e\u6587\u4ef6\uff08pagila-data.sql\u6216pagila-insert-data.sql\uff09\u3002<\/p>\n
\u4ece\u4ee3\u7801\u4ed3\u5e93\u83b7\u53d6\u6587\u4ef6\uff0c\u5e76\u542f\u52a8\u5de5\u4f5c\u5bb9\u5668\u4ee5\u6302\u8f7d\u4ee3\u7801\u4ed3\u5e93\u7684\u5185\u5bb9\u3002<\/p>\n
$ <\/span>git clone https:\/\/github.com\/devrimgunduz\/pagila.git\r\n$ <\/span>cd <\/span>pagila\r\n$ <\/span>git checkout pagila-0.11.0\r\n$ <\/span>cd<\/span> -\r\n\r\n$ <\/span>docker run --rm<\/span> -it<\/span> --link<\/span>=<\/span>db:db \\<\/span>\r\n             -v<\/span> `<\/span>pwd<\/span>`<\/span>\/pagila:\/tmp\/pagila \\<\/span>\r\n             -u<\/span> postgres \\<\/span>\r\n             postgres:9.5 \/bin\/bash\r\n<\/code><\/pre>\n
\u5728\u5bb9\u5668\u4e2d\uff0c\u5c06\u8fde\u63a5\u4fe1\u606f\u8bb0\u5f55\u5728\u5bc6\u7801\u6587\u4ef6\u4e2d\uff0c\u5e76\u4f7f\u7528psql\u547d\u4ee4\u6267\u884cSQL\u6587\u4ef6\u7684\u5185\u5bb9\u3002\u5f53\u542f\u52a8\u5bb9\u5668\u65f6\uff0c\u5b83\u5df2\u7ecf\u4e0edb\u5bb9\u5668\u8fdb\u884c\u4e86\u94fe\u63a5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u201cDB_ENV_\u201d\u5f00\u5934\u7684\u73af\u5883\u53d8\u91cf\u6765\u5f15\u7528\u5b57\u7b26\u4e32\u3002\u5c3d\u7ba1\u547d\u4ee4\u7684\u8868\u8ff0\u4f1a\u53d8\u5f97\u5197\u957f\uff0c\u4f46\u6d88\u9664\u4e86\u786c\u7f16\u7801\u7684\u5185\u5bb9\uff0c\u8fd9\u70b9\u5f88\u65b9\u4fbf\u3002<\/p>\n
$ <\/span>export <\/span>PGPASSFILE<\/span>=<\/span>\/tmp\/.pgpass\r\n$ <\/span>echo<\/span> \"db:<\/span>$DB_PORT_5432_TCP_PORT<\/span>:<\/span>$DB_ENV_POSTGRES_DB<\/span>:<\/span>$DB_ENV_POSTGRES_USER<\/span>:<\/span>$DB_ENV_POSTGRES_PASSWORD<\/span>\"<\/span> ><\/span> $PGPASSFILE<\/span>\r\n$ <\/span>chmod <\/span>600 $PGPASSFILE<\/span>\r\n\r\n$ <\/span>psql -h<\/span> db -U<\/span> $DB_ENV_POSTGRES_USER<\/span> -d<\/span> $DB_ENV_POSTGRES_DB<\/span> < \/tmp\/pagila\/pagila-schema.sql\r\n$ <\/span>psql -h<\/span> db -U<\/span> $DB_ENV_POSTGRES_USER<\/span> -d<\/span> $DB_ENV_POSTGRES_DB<\/span> < \/tmp\/pagila\/pagila-data.sql\r\n<\/code><\/pre>\n
\u5b8c\u6210\u6570\u636e\u6ce8\u518c\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528psql\u547d\u4ee4\u8fde\u63a5\u5e76\u68c0\u67e5\u8868\u4e2d\u7684\u6570\u636e\uff0c\u8fd9\u6837\u4f1a\u66f4\u597d\u3002<\/p>\n
pagila<\/span>=<\/span># \\dt<\/span>\r\n              List of relations\r\n Schema |       Name       | Type  |  Owner   \r\n--------<\/span>+------------------+-------+----------\r\n public | actor            | table | postgres\r\n public | address          | table | postgres\r\n public | category         | table | postgres\r\n public | city             | table | postgres\r\n public | country          | table | postgres\r\n public | customer         | table | postgres\r\n public | film             | table | postgres\r\n public | film_actor       | table | postgres\r\n public | film_category    | table | postgres\r\n public | inventory        | table | postgres\r\n public | language         | table | postgres\r\n public | payment          | table | postgres\r\n public | payment_p2015_01 | table | postgres\r\n public | payment_p2015_02 | table | postgres\r\n public | payment_p2015_03 | table | postgres\r\n public | payment_p2015_04 | table | postgres\r\n public | payment_p2015_05 | table | postgres\r\n public | payment_p2015_06 | table | postgres\r\n public | rental           | table | postgres\r\n public | staff            | table | postgres\r\n public | store            | table | postgres\r\n(<\/span>21 rows)<\/span>\r\n\r\npagila<\/span>=<\/span># select * from actor order by actor_id limit 10;<\/span>\r\n actor_id | first_name |  last_name   |     last_update     \r\n----------<\/span>+------------+--------------+---------------------\r\n        1 | PENELOPE   | GUINESS      | 2016-02-15 09:34:33\r\n        2 | NICK       | WAHLBERG     | 2016-02-15 09:34:33\r\n        3 | ED         | CHASE        | 2016-02-15 09:34:33\r\n        4 | JENNIFER   | DAVIS        | 2016-02-15 09:34:33\r\n        5 | JOHNNY     | LOLLOBRIGIDA | 2016-02-15 09:34:33\r\n        6 | BETTE      | NICHOLSON    | 2016-02-15 09:34:33\r\n        7 | GRACE      | MOSTEL       | 2016-02-15 09:34:33\r\n        8 | MATTHEW    | JOHANSSON    | 2016-02-15 09:34:33\r\n        9 | JOE        | SWANK        | 2016-02-15 09:34:33\r\n       10 | CHRISTIAN  | GABLE        | 2016-02-15 09:34:33\r\n(<\/span>10 rows)<\/span>\r\n<\/code><\/pre>\n
\u5728 Jupyter Notebook \u4e2d\u5b89\u88c5\u5e93\u3002<\/h2>\n
\u6253\u5f00\u7b14\u8bb0\u672c\uff0c\u901a\u8fc7\u6d4f\u89c8\u5668\u8bbf\u95ee\u542f\u52a8\u7684\u7aef\u53e3\u53f7\u3002\u5728\u4e0a\u8ff0\u6b65\u9aa4\u4e2d\uff0c\u5b83\u662f\u901a\u8fc78080\u53f7\u7aef\u53e3\u542f\u52a8\u7684\u3002\u7136\u540e\uff0c\u542f\u52a8Jupyter\u7ec8\u7aef\uff0c\u5e76\u5b89\u88c5psycopg2\u7528\u4e8ePostgreSQL\uff0c\u4ee5\u53caipython-sql\u7528\u4e8e\u7b80\u6613\u6267\u884cSQL\u3002<\/p>\n
    \n
  • \n
      Psycopg \u2013 PostgreSQL database adapter for Python<\/ul>\n<\/li>\n<\/ul>\n
       <\/p>\n
        %%sql magic for IPython, hopefully evolving into full SQL client<\/ul>\n
        \"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8_2016-06-27_1_11_02.png\"<\/div>\n
        $ <\/span>conda install<\/span> --yes<\/span> --quiet<\/span> 'psycopg2=2.6*'<\/span>\r\n$ <\/span>conda install<\/span> --yes<\/span> --quiet<\/span> -c<\/span> sodre 'ipython-sql=0.3*'<\/span>\r\n<\/code><\/pre>\n
        \"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
        \u5173\u4e0a\u7ec8\u7aef\uff0c\u65b0\u5efa\u4e00\u4e2aPython3\u7684\u7b14\u8bb0\u672c\u5427\u3002<\/p>\n
        \u4f7f\u7528Jupyter Notebook\u8fde\u63a5\u6570\u636e\u5e93<\/h2>\n
        \u73b0\u5728\uff0c\u8ba9\u6211\u4eec\u8bd5\u7740\u4ece\u7b14\u8bb0\u672c\u7535\u8111\u8fde\u63a5\u5230\u6570\u636e\u5e93\u3002<\/p>\n
        import<\/span> os<\/span>\r\nimport<\/span> psycopg2<\/span>\r\n\r\npgconfig<\/span> =<\/span> {<\/span>\r\n    'host'<\/span>:<\/span> 'db'<\/span>,<\/span>\r\n    'port'<\/span>:<\/span> os<\/span>.<\/span>environ<\/span>[<\/span>'DB_PORT_5432_TCP_PORT'<\/span>],<\/span>\r\n    'database'<\/span>:<\/span> os<\/span>.<\/span>environ<\/span>[<\/span>'DB_ENV_POSTGRES_DB'<\/span>],<\/span>\r\n    'user'<\/span>:<\/span> os<\/span>.<\/span>environ<\/span>[<\/span>'DB_ENV_POSTGRES_USER'<\/span>],<\/span>\r\n    'password'<\/span>:<\/span> os<\/span>.<\/span>environ<\/span>[<\/span>'DB_ENV_POSTGRES_PASSWORD'<\/span>],<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
        conn<\/span> =<\/span> psycopg2<\/span>.<\/span>connect<\/span>(<\/span>**<\/span>pgconfig<\/span>)<\/span>\r\ncur<\/span> =<\/span> conn<\/span>.<\/span>cursor<\/span>()<\/span>\r\ncur<\/span>.<\/span>execute<\/span>(<\/span>\"SELECT * FROM actor;\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
        cur<\/span>.<\/span>fetchone<\/span>()<\/span>\r\n<\/code><\/pre>\n
        (<\/span>1<\/span>,<\/span> 'PENELOPE'<\/span>,<\/span> 'GUINESS'<\/span>,<\/span> datetime<\/span>.<\/span>datetime<\/span>(<\/span>2016<\/span>,<\/span> 2<\/span>,<\/span> 15<\/span>,<\/span> 9<\/span>,<\/span> 34<\/span>,<\/span> 33<\/span>))<\/span>\r\n<\/code><\/pre>\n
        cur<\/span>.<\/span>fetchone<\/span>()<\/span>\r\n<\/code><\/pre>\n
        (<\/span>2<\/span>,<\/span> 'NICK'<\/span>,<\/span> 'WAHLBERG'<\/span>,<\/span> datetime<\/span>.<\/span>datetime<\/span>(<\/span>2016<\/span>,<\/span> 2<\/span>,<\/span> 15<\/span>,<\/span> 9<\/span>,<\/span> 34<\/span>,<\/span> 33<\/span>))<\/span>\r\n<\/code><\/pre>\n
        cur<\/span>.<\/span>close<\/span>()<\/span>\r\nconn<\/span>.<\/span>close<\/span>()<\/span>\r\n<\/code><\/pre>\n
        \u6211\u5df2\u7ecf\u786e\u8ba4\u5e38\u89c4\u7684 Python \u811a\u672c\u53ef\u4ee5\u8fd0\u884c\u3002
        \n\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u4f7f\u7528 ipython-sql \u6765\u76f4\u63a5\u786e\u8ba4 SQL \u6267\u884c\u7ed3\u679c\u3002<\/p>\n
        %<\/span>load_ext<\/span> sql<\/span>\r\ndsl<\/span> =<\/span> 'postgres:\/\/{user}:{password}@{host}:{port}\/{database}'<\/span>.<\/span>format<\/span>(<\/span>**<\/span>pgconfig<\/span>)<\/span>\r\n%<\/span>sql<\/span> $<\/span>dsl<\/span>\r\n<\/code><\/pre>\n
        'Connected: nbuser@pagila'<\/span>\r\n<\/code><\/pre>\n
        %%<\/span>sql<\/span>\r\nselect<\/span> *<\/span> from<\/span> actor<\/span> order<\/span> by<\/span> actor_id<\/span> limit<\/span> 10<\/span>\r\n<\/code><\/pre>\n
        \u6267\u884c\u7ed3\u679c\u5c06\u4ee5\u8868\u683c\u5f62\u5f0f\u663e\u793a\u3002<\/p>\n
        \n
        \nactor_idfirst_namelast_namelast_update01PENELOPEGUINESS2016-02-15 09:34:3312NICKWAHLBERG2016-02-15 09:34:3323EDCHASE2016-02-15 09:34:3334JENNIFERDAVIS2016-02-15 09:34:3345JOHNNYLOLLOBRIGIDA2016-02-15 09:34:3356BETTENICHOLSON2016-02-15 09:34:3367GRACEMOSTEL2016-02-15 09:34:3378MATTHEWJOHANSSON2016-02-15 09:34:3389JOESWANK2016-02-15 09:34:33910CHRISTIANGABLE2016-02-15 09:34:33<\/div>\n<\/div>\n
        \u5982\u679c\u5c06SqlMagic.autopandas\u53c2\u6570\u8bbe\u7f6e\u4e3aTrue\uff0c\u5b83\u5c06\u4ee5pandas\u7684DataFrame\u5f62\u5f0f\u5904\u7406\u7ed3\u679c\u96c6\u3002<\/p>\n
        %<\/span>config<\/span> SqlMagic<\/span>.<\/span>autopandas<\/span> =<\/span> True<\/span>\r\ndf<\/span> =<\/span> %<\/span>sql<\/span> select<\/span> *<\/span> from<\/span> actor<\/span> order<\/span> by<\/span> actor_id<\/span>\r\ndf<\/span>.<\/span>describe<\/span>()<\/span>\r\n<\/code><\/pre>\n
        \n
        \nactor_idcount200.000000mean100.500000std57.879185min1.00000025%50.75000050%100.50000075%150.250000max200.000000<\/div>\n<\/div>\n
        \u4e0d\u4ec5\u53ef\u4ee5\u7b80\u5355\u5730\u83b7\u53d6\u6570\u636e\uff0c\u8fd8\u53ef\u4ee5\u6210\u529f\u5730\u5904\u7406\u7a0d\u5fae\u590d\u6742\u7684 SQL\u3002\u5728\u5185\u90e8\uff0c\u5b83\u901a\u8fc7 sqlalchemy \u76f4\u63a5\u6267\u884c SQL\u3002<\/p>\n
        %%<\/span>sql<\/span>\r\nWITH<\/span> store_inv<\/span> AS<\/span> (<\/span>\r\n    SELECT<\/span> store_id<\/span>,<\/span> COUNT<\/span>(<\/span>*<\/span>)<\/span> AS<\/span> inventory_cnt<\/span>,<\/span> COUNT<\/span>(<\/span>DISTINCT<\/span> film_id<\/span>)<\/span> AS<\/span> film_cnt<\/span>\r\n    FROM<\/span> inventory<\/span> GROUP<\/span> BY<\/span> 1<\/span>\r\n),<\/span> store_staff<\/span> AS<\/span> (<\/span>\r\n    SELECT<\/span> store_id<\/span>,<\/span> COUNT<\/span>(<\/span>*<\/span>)<\/span> AS<\/span> staff_cnt<\/span>\r\n    FROM<\/span> staff<\/span> GROUP<\/span> BY<\/span> 1<\/span>\r\n),<\/span> store_customer<\/span> AS<\/span> (<\/span>\r\n    SELECT<\/span> store_id<\/span>,<\/span> COUNT<\/span>(<\/span>*<\/span>)<\/span> AS<\/span> customer_cnt<\/span>,<\/span> SUM<\/span>(<\/span>active<\/span>)<\/span> AS<\/span> active_customer_cnt<\/span>\r\n    FROM<\/span> customer<\/span> GROUP<\/span> BY<\/span> 1<\/span>\r\n)<\/span>\r\nSELECT<\/span> store<\/span>.<\/span>store_id<\/span>,<\/span> addr<\/span>.<\/span>address<\/span>,<\/span> addr<\/span>.<\/span>district<\/span>,<\/span> city<\/span>.<\/span>city<\/span>,<\/span> country<\/span>.<\/span>country<\/span>,<\/span>\r\n       store_inv<\/span>.<\/span>inventory_cnt<\/span>,<\/span> store_inv<\/span>.<\/span>film_cnt<\/span>,<\/span>\r\n       store_staff<\/span>.<\/span>staff_cnt<\/span>,<\/span>\r\n       store_customer<\/span>.<\/span>customer_cnt<\/span>,<\/span> store_customer<\/span>.<\/span>active_customer_cnt<\/span>\r\n  FROM<\/span> store<\/span>\r\n       LEFT<\/span> JOIN<\/span> address<\/span> addr<\/span> USING<\/span> (<\/span>address_id<\/span>)<\/span>\r\n    \u3000\u3000<\/span>  LEFT<\/span> JOIN<\/span> city<\/span> USING<\/span> (<\/span>city_id<\/span>)<\/span>\r\n    \u3000\u3000<\/span>  LEFT<\/span> JOIN<\/span> country<\/span> USING<\/span> (<\/span>country_id<\/span>)<\/span>\r\n    \u3000\u3000<\/span>  LEFT<\/span> JOIN<\/span> store_inv<\/span> USING<\/span> (<\/span>store_id<\/span>)<\/span>\r\n    \u3000\u3000<\/span>  LEFT<\/span> JOIN<\/span> store_staff<\/span> USING<\/span> (<\/span>store_id<\/span>)<\/span>\r\n    \u3000\u3000<\/span>  LEFT<\/span> JOIN<\/span> store_customer<\/span> USING<\/span> (<\/span>store_id<\/span>)<\/span>\r\nORDER<\/span> BY<\/span> 1<\/span>\r\n<\/code><\/pre>\n
        \n
        \nstore_idaddressdistrictcitycountryinventory_cntfilm_cntstaff_cntcustomer_cntactive_customer_cnt0147 MySakila DriveAlbertaLethbridgeCanada227075913263181228 MySQL BoulevardQLDWoodridgeAustralia23117621273266<\/div>\n<\/div>\n
        \u8fdb\u884c\u6570\u636e\u6c47\u603b\u5e76\u7ed8\u5236\u56fe\u8868\u7ed3\u679c<\/h2>\n
        \u4f60\u53ef\u4ee5\u628a\u7ed3\u679c\u4f5c\u4e3aPandas\u6570\u636e\u6846\u83b7\u53d6\uff0c\u7136\u540e\u53ef\u4ee5\u4f7f\u7528\u4efb\u610f\u7684\u65b9\u6cd5\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u6c47\u603b\u3002\u6b64\u5916\uff0c\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7ed8\u5236\u56fe\u8868\u3002\u7531\u4e8e\u5728jupyter\/datascience-notebook\u955c\u50cf\u4e2d\u8fd8\u5305\u542bseaborn\uff0c\u6240\u4ee5\u6211\u4eec\u53ef\u4ee5\u8bd5\u7740\u7528\u5b83\u6765\u7ed8\u5236\u56fe\u8868\u3002<\/p>\n
        import<\/span> seaborn<\/span> as<\/span> sns<\/span>\r\n%<\/span>matplotlib<\/span> inline<\/span>\r\n<\/code><\/pre>\n
        \u5728\u79df\u8d41\u8868\u4e2d\uff0c\u5305\u542b\u4e86\u5546\u54c1\u51fa\u501f\u4fe1\u606f\uff0c\u51fa\u501f\u65e5\u671f\u8bb0\u5f55\u5728rental_date\uff0c\u5f52\u8fd8\u65e5\u671f\u8bb0\u5f55\u5728return_date\u3002\u5546\u54c1\u7684ID\u7528inventory_id\u8868\u793a\uff0c\u987e\u5ba2\u7684ID\u7528customer_id\u8868\u793a\u3002\u5229\u7528\u8fd9\u4e9b\u4fe1\u606f\uff0c\u6211\u4eec\u5c06\u8ba1\u7b97\u672a\u5f52\u8fd8DVD\u7684\u987e\u5ba2\u4eba\u6570\u5206\u5e03\uff0c\u5e76\u7ed8\u5236\u6761\u5f62\u56fe\u3002<\/p>\n
        df<\/span> =<\/span> %<\/span>sql<\/span> select<\/span> *<\/span> from<\/span> rental<\/span>\r\ndf<\/span>.<\/span>head<\/span>()<\/span>\r\n<\/code><\/pre>\n
        \n
        \nrental_idrental_dateinventory_idcustomer_idreturn_datestaff_idlast_update012013-05-24 22:53:303671302013-05-26 22:04:3012014-02-15 21:30:53122013-05-24 22:54:3315254592013-05-28 19:40:3312015-02-16 02:30:53232013-05-24 23:03:3917114082013-06-01 22:12:3912015-02-16 02:30:53342013-05-24 23:04:4124523332013-06-03 01:43:4122015-02-16 02:30:53452013-05-24 23:05:2120792222013-06-02 04:33:2112015-02-16 02:30:53<\/div>\n<\/div>\n
        dt<\/span> =<\/span> []<\/span>\r\nfor<\/span> k<\/span> in<\/span> df<\/span>.<\/span>keys<\/span>():<\/span>\r\n    print<\/span>(<\/span>'{:20s} : {:,} ({:,})'<\/span>.<\/span>format<\/span>(<\/span>k<\/span>,<\/span> df<\/span>[<\/span>k<\/span>].<\/span>count<\/span>(),<\/span> df<\/span>[<\/span>k<\/span>].<\/span>nunique<\/span>()))<\/span>\r\n\r\n## \u7d50\u679c\r\n<\/span>rental_id<\/span>            :<\/span> 16<\/span>,<\/span>044<\/span> (<\/span>16<\/span>,<\/span>044<\/span>)<\/span>\r\nrental_date<\/span>          :<\/span> 16<\/span>,<\/span>044<\/span> (<\/span>15<\/span>,<\/span>815<\/span>)<\/span>\r\ninventory_id<\/span>         :<\/span> 16<\/span>,<\/span>044<\/span> (<\/span>4<\/span>,<\/span>580<\/span>)<\/span>\r\ncustomer_id<\/span>          :<\/span> 16<\/span>,<\/span>044<\/span> (<\/span>599<\/span>)<\/span>\r\nreturn_date<\/span>          :<\/span> 15<\/span>,<\/span>861<\/span> (<\/span>15<\/span>,<\/span>836<\/span>)<\/span>\r\nstaff_id<\/span>             :<\/span> 16<\/span>,<\/span>044<\/span> (<\/span>2<\/span>)<\/span>\r\nlast_update<\/span>          :<\/span> 16<\/span>,<\/span>044<\/span> (<\/span>3<\/span>)<\/span>\r\n<\/code><\/pre>\n
        \u603b\u5171\u670916,044\u6761\u79df\u501f\u4fe1\u606f\uff0c\u5546\u54c1\u6570\u91cf\u4e3a4,580\u4ef6\uff0c\u987e\u5ba2\u6570\u91cf\u4e3a599\u4eba\u3002\u53e6\u5916\uff0c\u670915,861\u4ef6\u5f52\u8fd8\u65e5\u671f\u5df2\u7ecf\u8fc7\u4e86\uff0c\u56e0\u6b64\u51cf\u53bb\u8fd9\u4e9b\uff0c\u53ef\u4ee5\u8bf4\u6709183\u4ef6\u5c1a\u672a\u5f52\u8fd8\u3002<\/p>\n
        \u901a\u8fc7\u6309\u987e\u5ba2ID\u6c47\u603b\u672a\u767b\u8bb0\u9000\u8fd8\u65e5\u671f\u7684\u8bb0\u5f55\uff0c\u8ba1\u7b97\u6bcf\u4e2a\u987e\u5ba2\u7684\u672a\u9000\u8fd8DVD\u6570\u91cf\uff0c\u7136\u540e\u901a\u8fc7\u8fdb\u4e00\u6b65\u7684\u6c47\u603b\u8ba1\u7b97\uff0c\u5f97\u51fa\u5b58\u5728\u672a\u9000\u8fd8DVD\u7684\u987e\u5ba2\u6570\u91cf\u7684\u5206\u5e03\u3002<\/p>\n
        dd<\/span> =<\/span> df<\/span>[<\/span>df<\/span>[<\/span>'return_date'<\/span>].<\/span>isnull<\/span>()].<\/span>groupby<\/span>(<\/span>'customer_id'<\/span>).<\/span>count<\/span>()[[<\/span>'rental_id'<\/span>,]].<\/span>reset_index<\/span>()<\/span>\r\ndd<\/span>.<\/span>groupby<\/span>(<\/span>'rental_id'<\/span>).<\/span>count<\/span>().<\/span>reset_index<\/span>().<\/span>rename<\/span>(<\/span>\r\n    columns<\/span>=<\/span>{<\/span>'rental_id'<\/span>:<\/span> 'rental_cnt'<\/span>,<\/span> 'customer_id'<\/span>:<\/span> 'customer_cnt'<\/span>})<\/span>\r\n<\/code><\/pre>\n
        \n
        \nrental_cntcustomer_cnt011361222231<\/div>\n<\/div>\n
        \u6211\u5011\u8a66\u8457\u7528\u9577\u689d\u5716\u4f86\u8868\u793a\u9019\u500b\u5206\u4f48\u3002<\/p>\n
        d<\/span> =<\/span> _<\/span>\r\nsns<\/span>.<\/span>barplot<\/span>(<\/span>x<\/span>=<\/span>'rental_cnt'<\/span>,<\/span> y<\/span>=<\/span>'customer_cnt'<\/span>,<\/span> data<\/span>=<\/span>d<\/span>)<\/span>\r\n<\/code><\/pre>\n
        \"Kobito.nuXPsJ.png\"<\/div>\n
        \u6709\u5f88\u591a\u5ba2\u6237\u53ea\u6709\u4e00\u4ef6\u672a\u5f52\u8fd8\u7684DVD\uff0c\u4f46\u6211\u4e5f\u5728\u89c6\u89c9\u4e0a\u786e\u8ba4\u4e86\u6709\u4e00\u4e2a\u5ba2\u6237\u6709\u4e09\u4ef6\u672a\u5f52\u8fd8\u7684DVD\u3002\uff08\u867d\u7136\u901a\u8fc7\u8868\u683c\u7684\u6570\u5b57\u5c31\u80fd\u7406\u89e3\u8fd9\u4e2a\u5185\u5bb9\uff09<\/p>\n
        \u4f7f\u7528\u53d8\u91cf\u66ff\u6362\u6267\u884c\u67e5\u8be2\u3002<\/h2>\n
        \u89c2\u5bdf\u4e0a\u8ff0\u56fe\u8868\uff0c\u6211\u4eec\u53ef\u4ee5\u8bf4\u6301\u6709\u4e09\u4e2a\u672a\u5f52\u8fd8\u7269\u54c1\u7684\u5ba2\u6237\u53ef\u80fd\u662f\u7279\u6b8a\u60c5\u51b5\uff0c\u56e0\u6b64\u6211\u4eec\u9700\u8981\u5177\u4f53\u6307\u5b9a\u4e2a\u4eba\u3002<\/p>\n
        dd<\/span>[<\/span>dd<\/span>[<\/span>'rental_id'<\/span>]<\/span> ==<\/span> 3<\/span>]<\/span>\r\n<\/code><\/pre>\n
        \n
        \ncustomer_idrental_id23753<\/div>\n<\/div>\n
        \u53ef\u4ee5\u901a\u8fc7\u77e5\u9053customer ID\u4e3a75\u7684\u4eba\u662f\u76ee\u6807\u5bf9\u8c61\u6765\u786e\u8ba4\uff0c\u5728customer\u8868\u4e2d\u5177\u4f53\u67e5\u770b\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u4f7f\u7528ipython-sql\u7684\u53d8\u91cf\u66ff\u6362\uff0c\u800c\u4e0d\u662f\u5728SQL\u4e2d\u786c\u7f16\u7801\u6570\u5b57\u3002<\/p>\n
        \u5728Notebook\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5b9a\u4e49\u666e\u901a\u53d8\u91cf\u5e76\u5728SQL\u8bed\u53e5\u4e2d\u52a0\u4e0a”:”\u6765\u8fdb\u884c\u53d8\u91cf\u66ff\u6362\u3002<\/p>\n
        customer_id<\/span> =<\/span> 75<\/span>\r\nc<\/span> =<\/span> %<\/span>sql<\/span> select<\/span> *<\/span> from<\/span> customer<\/span> where<\/span> customer_id<\/span> =<\/span> :<\/span>customer_id<\/span>\r\nc<\/span>.<\/span>T<\/span>\r\n<\/code><\/pre>\n
        \n
        \n0customer_id75store_id2first_nameTAMMYlast_nameSANDERSemailTAMMY.SANDERS@sakilacustomer.org<\/code>address_id79activeboolTruecreate_date2014-02-14last_update2014-02-15 09:57:20active1<\/div>\n<\/div>\n
        \u7531\u4e8e\u53d8\u91cf\u53ef\u4ee5\u63a5\u53d7\u5217\u8868\u4f5c\u4e3a\u53c2\u6570\uff0c\u56e0\u6b64\u4e0d\u9700\u8981\u786c\u7f16\u7801\u7279\u5b9a\u7684ID\u3002\u5728SQL\u7684WHERE\u5b50\u53e5\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528IN\u3002<\/p>\n
        customers<\/span> =<\/span> tuple<\/span>([<\/span>int<\/span>(<\/span>i<\/span>)<\/span> for<\/span> i<\/span> in<\/span> dd<\/span>[<\/span>dd<\/span>[<\/span>'rental_id'<\/span>]<\/span> ==<\/span> 3<\/span>][<\/span>'customer_id'<\/span>].<\/span>tolist<\/span>()])<\/span>\r\nc<\/span> =<\/span> %<\/span>sql<\/span> select<\/span> *<\/span> from<\/span> customer<\/span> where<\/span> customer_id<\/span> in<\/span> :<\/span>customers<\/span>\r\nc<\/span>.<\/span>T<\/span>\r\n<\/code><\/pre>\n
        \u5f53\u7136\uff0c\u53ef\u4ee5\u5f97\u5230\u76f8\u540c\u7684\u7ed3\u679c\u3002<\/p>\n
        \u7ed3\u675f<\/h2>\n
        \u6211\u5df2\u7ecf\u786e\u8ba4\u53ef\u4ee5\u4f7f\u7528Jupyter Notebook\u8fde\u63a5\u5230PostgreSQL\u5e76\u4ee5\u6570\u636e\u6846\u7684\u5f62\u5f0f\u83b7\u53d6\u7ed3\u679c\u3002\u6b64\u5916\uff0c\u6211\u8fd8\u4f7f\u7528pandas\u7684\u529f\u80fd\u5bf9\u6570\u636e\u8fdb\u884c\u4e86\u5904\u7406\uff0c\u5e76\u5728Notebook\u4e0a\u7ed8\u5236\u4e86\u56fe\u8868\u3002\u6211\u8ba4\u4e3a\u53ef\u4ee5\u8bb0\u5f55\u601d\u8003\u8fc7\u7a0b\u65f6\u67e5\u770b\u6570\u636e\u975e\u5e38\u65b9\u4fbf\u3002<\/p>\n
        \u4ee5\u4e0b\u662f\u4e00\u4e2a\u4e2d\u56fd\u4eba\u7684\u6bcd\u8bed\u89e3\u91ca\uff1a<\/p>\n
        \u53c2\u8003\uff1a<\/p>\n
          \n
        • \n
            \u73fe\u4ee3\u306e\u30a8\u30f3\u30b8\u30cb\u30a2\u306e\u305f\u3081\u306e\u5f37\u529b\u306a\u30e1\u30e2\u5e33 Jupyter notebook\u306e\u3059\u309d\u3081 – \u30af\u30c3\u30af\u30d1\u30c3\u30c9\u958b\u767a\u8005\u30d6\u30ed\u30b0<\/ul>\n<\/li>\n<\/ul>\n
             <\/p>\n
              Jupyter \u304b\u3089\u898b\u305f Treasure Data \u306e\u4f7f\u3044\u65b9 – Qiita<\/ul>\n","protected":false},"excerpt":{"rendered":"
              \u5728\u67e5\u770b\u5b58\u50a8\u5728\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u65f6\uff0c\u80fd\u591f\u91cd\u65b0\u6c47\u603b\u7ed3\u679c\u5e76\u901a\u8fc7\u56fe\u8868\u8fdb\u884c\u786e\u8ba4\u662f\u5f88\u65b9\u4fbf\u7684\u3002\u540c\u65f6\uff0c\u53ef\u4ee5\u5c06\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u548c\u601d\u8003\u7684\u5185 […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-41616","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n\u4f7f\u7528Jupyter\u8fde\u63a5\u5230PostgreSQL - Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/\u4f7f\u7528jupyter\u8fde\u63a5\u5230postgresql\u3002\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u4f7f\u7528Jupyter\u8fde\u63a5\u5230PostgreSQL\" \/>\n<meta property=\"og:description\" content=\"\u5728\u67e5\u770b\u5b58\u50a8\u5728\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u65f6\uff0c\u80fd\u591f\u91cd\u65b0\u6c47\u603b\u7ed3\u679c\u5e76\u901a\u8fc7\u56fe\u8868\u8fdb\u884c\u786e\u8ba4\u662f\u5f88\u65b9\u4fbf\u7684\u3002\u540c\u65f6\uff0c\u53ef\u4ee5\u5c06\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u548c\u601d\u8003\u7684\u5185 […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/\u4f7f\u7528jupyter\u8fde\u63a5\u5230postgresql\u3002\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - Silicon Cloud\" \/>\n<meta property=\"article:published_time\" content=\"2024-02-11T18:11:17+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-29T15:11:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/657d47fc37434c4406ca9e66\/20-0.png\" \/>\n<meta name=\"author\" content=\"\u79d1, \u9896\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u79d1, \u9896\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/\",\"url\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/\",\"name\":\"\u4f7f\u7528Jupyter\u8fde\u63a5\u5230PostgreSQL - Blog - Silicon Cloud\",\"isPartOf\":{\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#website\"},\"datePublished\":\"2024-02-11T18:11:17+00:00\",\"dateModified\":\"2024-04-29T15:11:03+00:00\",\"author\":{\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/8ca01ba7f7362ad4edb7da206a12f29e\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.silicloud.com\/zh\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u4f7f\u7528Jupyter\u8fde\u63a5\u5230PostgreSQL\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#website\",\"url\":\"https:\/\/www.silicloud.com\/zh\/blog\/\",\"name\":\"Blog - Silicon Cloud\",\"description\":\"\",\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/8ca01ba7f7362ad4edb7da206a12f29e\",\"name\":\"\u79d1, \u9896\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/8a6fb3cc7ba2f69d2189ba532aec4633ea7ed75ac0af162ec367cb3abc0fb2af?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/8a6fb3cc7ba2f69d2189ba532aec4633ea7ed75ac0af162ec367cb3abc0fb2af?s=96&d=mm&r=g\",\"caption\":\"\u79d1, \u9896\"},\"url\":\"https:\/\/www.silicloud.com\/zh\/blog\/author\/keying\/\"},{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/#local-main-organization-logo\",\"url\":\"\",\"contentUrl\":\"\",\"caption\":\"Blog - Silicon Cloud\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"\u4f7f\u7528Jupyter\u8fde\u63a5\u5230PostgreSQL - Blog - Silicon Cloud","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.silicloud.com\/zh\/blog\/\u4f7f\u7528jupyter\u8fde\u63a5\u5230postgresql\u3002\/","og_locale":"zh_CN","og_type":"article","og_title":"\u4f7f\u7528Jupyter\u8fde\u63a5\u5230PostgreSQL","og_description":"\u5728\u67e5\u770b\u5b58\u50a8\u5728\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u65f6\uff0c\u80fd\u591f\u91cd\u65b0\u6c47\u603b\u7ed3\u679c\u5e76\u901a\u8fc7\u56fe\u8868\u8fdb\u884c\u786e\u8ba4\u662f\u5f88\u65b9\u4fbf\u7684\u3002\u540c\u65f6\uff0c\u53ef\u4ee5\u5c06\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u548c\u601d\u8003\u7684\u5185 […]","og_url":"https:\/\/www.silicloud.com\/zh\/blog\/\u4f7f\u7528jupyter\u8fde\u63a5\u5230postgresql\u3002\/","og_site_name":"Blog - Silicon Cloud","article_published_time":"2024-02-11T18:11:17+00:00","article_modified_time":"2024-04-29T15:11:03+00:00","og_image":[{"url":"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/657d47fc37434c4406ca9e66\/20-0.png"}],"author":"\u79d1, \u9896","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"\u79d1, \u9896","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"5 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/","url":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/","name":"\u4f7f\u7528Jupyter\u8fde\u63a5\u5230PostgreSQL - Blog - Silicon Cloud","isPartOf":{"@id":"https:\/\/www.silicloud.com\/zh\/blog\/#website"},"datePublished":"2024-02-11T18:11:17+00:00","dateModified":"2024-04-29T15:11:03+00:00","author":{"@id":"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/8ca01ba7f7362ad4edb7da206a12f29e"},"breadcrumb":{"@id":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/www.silicloud.com\/zh\/blog\/"},{"@type":"ListItem","position":2,"name":"\u4f7f\u7528Jupyter\u8fde\u63a5\u5230PostgreSQL"}]},{"@type":"WebSite","@id":"https:\/\/www.silicloud.com\/zh\/blog\/#website","url":"https:\/\/www.silicloud.com\/zh\/blog\/","name":"Blog - Silicon Cloud","description":"","inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/8ca01ba7f7362ad4edb7da206a12f29e","name":"\u79d1, \u9896","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.silicloud.com\/zh\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/8a6fb3cc7ba2f69d2189ba532aec4633ea7ed75ac0af162ec367cb3abc0fb2af?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8a6fb3cc7ba2f69d2189ba532aec4633ea7ed75ac0af162ec367cb3abc0fb2af?s=96&d=mm&r=g","caption":"\u79d1, \u9896"},"url":"https:\/\/www.silicloud.com\/zh\/blog\/author\/keying\/"},{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8jupyter%e8%bf%9e%e6%8e%a5%e5%88%b0postgresql%e3%80%82\/#local-main-organization-logo","url":"","contentUrl":"","caption":"Blog - Silicon Cloud"}]}},"_links":{"self":[{"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/posts\/41616","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/comments?post=41616"}],"version-history":[{"count":2,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/posts\/41616\/revisions"}],"predecessor-version":[{"id":88213,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/posts\/41616\/revisions\/88213"}],"wp:attachment":[{"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/media?parent=41616"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/categories?post=41616"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.silicloud.com\/zh\/blog\/wp-json\/wp\/v2\/tags?post=41616"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}