我使用查询整个 postgres 表
c.execute("select * from train_temp")
trans=np.array(c.fetchall())
在预期的数据中,我得到了一行列名。
trans[-1,]
Out[63]:
array(['ACTION', 'RESOURCE', 'MGR_ID', 'ROLE_ROLLUP_1', 'ROLE_ROLLUP_2',
'ROLE_DEPTNAME', 'ROLE_TITLE', 'ROLE_FAMILY_DESC', 'ROLE_FAMILY',
'ROLE_CODE', None, None, None, None, None, None, None, None, None], dtype=object)
更令人费解的是返回的行数与表中的行数相匹配
trans.shape
Out[67]: (32770, 19)
select count(1) from train_temp ;
count
-------
32770
(1 row)
这是表的架构
Table "public.train_temp"
Column | Type | Modifiers | Storage | Description
---------------------+------------------+-----------+----------+-------------
action | text | | extended |
resource | text | | extended |
mgr_id | text | | extended |
role_rollup_1 | text | | extended |
role_rollup_2 | text | | extended |
role_deptname | text | | extended |
role_title | text | | extended |
role_family_desc | text | | extended |
role_family | text | | extended |
role_code | text | | extended |
av_role_code | double precision | | plain |
av_role_family | double precision | | plain |
av_role_family_desc | double precision | | plain |
av_role_title | double precision | | plain |
av_role_deptname | double precision | | plain |
av_role_rollup_2 | double precision | | plain |
av_role_rollup_1 | double precision | | plain |
av_mgr_id | double precision | | plain |
av_resource | double precision | | plain |
Has OIDs: no
这里发生了什么?请注意,并非所有表都发生这种情况。实际上,对于最后一个,该过程运行良好
Table "public.play"
Column | Type | Modifiers | Storage | Description
-----------+------------------+-----------+----------+-------------
row.names | text | | extended |
action | double precision | | plain |
color | text | | extended |
type | text | | extended |
Has OIDs: no
最后一张表完全作为字符串传递,而有问题的表则尊重数据类型。
play[1,]
Out[73]:
array(['2', '0.0', 'blue', 'car'],
dtype='|S5')
trans[1,]
Out[74]:
array(['1', '0', '36', '117961', '118413', '119968', '118321', '117906',
'290919', '118322', 0.920412992041299, 0.942349726775956,
0.933439675174014, 0.920412992041299, 0.976, 0.964478764478764,
0.949222217031812, 0.909090909090909, 0.923076923076923], dtype=object)
感谢您的洞察力。