[英]How to convert Pandas DataFrame column from Pandas datetime64[ns] to Pyodbc SQL_Timestamp
I am trying to populate Pandas Dataframe into empty MS Access 2016 table via pyodbc. 我正在尝试通过pyodbc将Pandas Dataframe填充到空的 MS Access 2016表中。 I get the following error message when I try to insert Dataframes into Access: pyodbc.dataerror: ('22008', [ODBC Microsoft Access Driver]Datetime field overflow .
当我尝试将数据帧插入Access中时,出现以下错误消息: pyodbc.dataerror :(“ 22008”,[ODBC Microsoft Access驱动程序] Datetime字段溢出 。
Research showed that MS Access Date/Time datatypes correspond to ODBC SQL_TIMESTAMP datatypes. 研究表明,MS Access 日期/时间数据类型与ODBC SQL_TIMESTAMP数据类型相对应。
I tried the following to convert datetime64[ns] to SQL_TIMESTAMP: 我尝试了以下方法将datetime64 [ns]转换为SQL_TIMESTAMP:
import datetime
cursor.execute("INSERT sql statement...VALUES(?)", datetime.datetime(order_date))
However, I get this error: TypeError: an integer is required (got type Timestamp). 但是,我收到此错误: TypeError:需要一个整数(类型为Timestamp)。
What do I need to do in order to successfully populate Pandas/Numpy's datetime64[ns] values into Access tables? 为了成功将Pandas / Numpy的datetime64 [ns]值填充到Access表中,我需要做什么? Do I need to convert them into SQL_TIMESTAMP and how?
我需要将它们转换为SQL_TIMESTAMP以及如何转换吗?
import datetime
dt = dt64_to_datetime(dt_ns)
>> AttributeError:'datetime' has no attribute 'utcfromtimestamp'
What is the reason behind this error? 此错误的原因是什么? (Tested on pyodbc 4.0.17, Python 3.6.2, MS Access 2016)
(在pyodbc 4.0.17,Python 3.6.2,MS Access 2016上测试)
What do I need to do in order to successfully populate Pandas/Numpy's datetime64[ns] values into Access tables?
为了成功将Pandas / Numpy的datetime64 [ns]值填充到Access表中,我需要做什么? Do I need to convert them into SQL_TIMESTAMP and how?
我需要将它们转换为SQL_TIMESTAMP以及如何转换吗?
As illustrated in this excellent answer , you'll probably need to convert the numpy.datetime64
values to Python datetime
values, perhaps like this: 如这个出色的答案所示 ,您可能需要将
numpy.datetime64
值转换为Python datetime
值,也许是这样的:
def dt64_to_datetime(dt64):
if np.isnat(dt64):
return None
else:
unix_epoch = np.datetime64(0, 's')
one_second = np.timedelta64(1, 's')
seconds_since_epoch = (dt64 - unix_epoch) / one_second
return datetime.utcfromtimestamp(seconds_since_epoch)
Example usage: 用法示例:
dt_ns = np.datetime64('2017-10-24 05:34:20.123456').astype('datetime64[ns]')
print(repr(dt_ns)) # numpy.datetime64('2017-10-24T05:34:20.123456000')
print(f'dt_ns.dtype: {dt_ns.dtype}') # dt_ns.dtype: datetime64[ns]
dt = dt64_to_datetime(dt_ns)
print(repr(dt)) # datetime.datetime(2017, 10, 24, 5, 34, 20, 123456)
sql = "UPDATE tablename SET datetimefield = ? WHERE id=1"
params = (dt,)
crsr.execute(sql, params)
(Tested with pyodbc 4.0.21 and Access 2010.) (已使用pyodbc 4.0.21和Access 2010测试。)
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