我正在尝试将数据从 Pandas 写入数据库。我正在运行在我的本地主机上运行的 postgresql 服务器。尝试使用 sqlalchemy 和 psycopg2 建立连接
我使用 pip 安装了 sqlalchemy,使用 pip psycopg2-binary 安装了 psycopg2。 操作系统:windows 和 ubuntu
enter code here
import pandas as pd
import sqlalchemy
import psycopg2
people={
'first':['lokesh','ramu','dhana'],
'last':['reddy','reddy','reddy'],
'mail':['lokesh@mail.com','ramu@mail.com','dhana@mail.com']
}
df=pd.Dataframe(people)
engine=sqlalchemy.create_engine('postgresql://postgres:admin@localhost:5432/postgres')
df.to_sql('sample_table',engine)
---------------------------------------------------------------------------
OperationalError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/sqlalchemy/engine/base.py in _wrap_pool_connect(self, fn, connection)
3210 try:
-> 3211 return fn()
3212 except dialect.dbapi.Error as e:
47 frames
OperationalError: could not connect to server: Connection refused
Is the server running on host "localhost" (127.0.0.1) and accepting
TCP/IP connections on port 5432?
could not connect to server: Cannot assign requested address
Is the server running on host "localhost" (::1) and accepting
TCP/IP connections on port 5432?
enter code here
The above exception was the direct cause of the following exception:
OperationalError Traceback (most recent call last)
<string> in run_callable(self, callable_, *args, **kwargs)
/usr/local/lib/python3.7/dist-packages/psycopg2/__init__.py in connect(dsn, connection_factory, cursor_factory, **kwargs)
128
129 dsn = _ext.make_dsn(dsn, **kwargs)
--> 130 conn = _connect(dsn, connection_factory=connection_factory, **kwasync)
131 if cursor_factory is not None:
132 conn.cursor_factory = cursor_factory
OperationalError: (psycopg2.OperationalError) could not connect to server: Connection refused
Is the server running on host "localhost" (127.0.0.1) and accepting
TCP/IP connections on port 5432?
could not connect to server: Cannot assign requested address
Is the server running on host "localhost" (::1) and accepting
TCP/IP connections on port 5432?
(Background on this error at: http://sqlalche.me/e/14/e3q8)