cx_Oracle equivalent of datetime64[ns]

问题

Given the following kind of data in a column of a Pandas data frame (Pandas data type is datetime64[ns]:

Contract_EffDt
1974-02-01

I want to import this (along with some string and int columns) into Oracle like this:

import cx_Oracle as cx
.
.
.
cur.setinputsizes(25,25,255,255,25,25,25,255,255,25,25,cx.DATE,int)
cur=con.cursor()
cur.bindarraysize = 1000
cur.executemany('''insert into Table(Contract_ID,Plan_ID,Org_Type,Plan_Type,Offers_Part_D,SNP_Plan,\
EGHP,Org_Name,Org_Mkt_Name,Plan_Name,Parent_Org,Contract_EffDt,YYYYMM) values (:1,:2,:3,:4,:5,:6,:7,:8,:9,:10,:11,:12,:13)''', rows)
con.commit()
cur.close()
con.close()

How can I get cx_Oracle to recognize my datetime column for what it is and insert it accordingly? As you can see, I've tried cx.DATE but this doesn't work.

Thanks in advance!

Update with more information:

import cx_Oracle as cx
import pandas as pd
pwd=pwd
namec='table'
con = cx.Connection("table/"+pwd+"@server")
dfc=pd.read_csv(r'\\...\CPSC_Contract_Info_2016_03.csv',
                encoding='latin-1')
#taken from https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MCRAdvPartDEnrolData/Downloads/2016/March/CPSC-Enrollment-2016-03.zip 
#^contract info file^
rows=dfc.values.tolist()
dfc['Contract_EffDt'] = pd.to_datetime(dfc['Contract_EffDt'])
dfc['Contract_EffDt'] = pd.to_datetime(dfc['Contract_EffDt'],format='%YYYY-%mm-%dd')
dfc['Plan_ID']=dfc['Plan_ID'].astype(str)
dfc.dtypes

Contract_ID               object
Plan_ID                   object
Org_Type                  object
Plan_Type                 object
Offers_Part_D             object
SNP_Plan                  object
EGHP                      object
Org_Name                  object
Org_Mkt_Name              object
Plan_Name                 object
Parent_Org                object
Contract_EffDt    datetime64[ns]
YYYYMM                     int64
dtype: object

cur.setinputsizes(25,25,255,255,25,25,25,255,255,25,25,cx.DATETIME,int)
cur=con.cursor()
cur.bindarraysize = 1000
cur.executemany('''insert into table(Contract_ID,Plan_ID,Org_Type,Plan_Type,Offers_Part_D,SNP_Plan,\
EGHP,Org_Name,Org_Mkt_Name,Plan_Name,Parent_Org,Contract_EffDt,YYYYMM) values (:1,:2,:3,:4,:5,:6,:7,:8,:9,:10,:11,to_date(:12,'yyyy-mm-dd'),:13)''', rows)
con.commit()
cur.close()
con.close()

Output:

TypeError                                 Traceback (most recent call last)
<ipython-input-152-6696ee05e0f2> in <module>()
      4 cur=con.cursor()
      5 cur.bindarraysize = 1000
----> 6 cur.executemany('''insert into table(Contract_ID,Plan_ID,Org_Type,Plan_Type,Offers_Part_D,SNP_Plan,EGHP,Org_Name,Org_Mkt_Name,Plan_Name,Parent_Org,Contract_EffDt,YYYYMM) values (:1,:2,:3,:4,:5,:6,:7,:8,:9,:10,:11,to_date(:12,'yyyy-mm-dd'),:13)''', rows)
      7 con.commit()
      8 cur.close()


TypeError: expecting numeric data

来源：https://stackoverflow.com/questions/36869371/cx-oracle-equivalent-of-datetime64ns

标签

Oracle

python-3.x

pandas

cx-oracle