我正在尝试在 pandas 数据框上应用几个函数，但出现 OutOfBoundsDatetime 错误 -
def data_cleanser(data):
clean_df = data.str.strip().str.replace(r'\\', '')
return clean_df
connection = pyodbc.connect(conn)
sql = 'SELECT * FROM {}'.format(tablename)
df = pd.read_sql_query(sql, connection)
df.replace([None], np.nan, inplace=True)
df.fillna('', inplace=True)
df=df.applymap(str)
df = df.apply(lambda x: data_cleanser(x))
错误信息：
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Python_Scripts/lib64/python3.4/site-packages/pandas/core/internals.py", line 763, in replace
copy=not inplace) for b in blocks]
File "/Python_Scripts/lib64/python3.4/site-packages/pandas/core/internals.py", line 763, in <listcomp>
copy=not inplace) for b in blocks]
File "/Python_Scripts/lib64/python3.4/site-packages/pandas/core/internals.py", line 2135, in convert
blocks = self.split_and_operate(None, f, False)
File "/Python_Scripts/lib64/python3.4/site-packages/pandas/core/internals.py", line 478, in split_and_operate
nv = f(m, v, i)
File "/Python_Scripts/lib64/python3.4/site-packages/pandas/core/internals.py", line 2125, in f
values = fn(v.ravel(), **fn_kwargs)
File "/Python_Scripts/lib64/python3.4/site-packages/pandas/core/dtypes/cast.py", line 807, in soft_convert_objects
values = lib.maybe_convert_objects(values, convert_datetime=datetime)
File "pandas/_libs/src/inference.pyx", line 1290, in pandas._libs.lib.maybe_convert_objects
File "pandas/_libs/tslib.pyx", line 1575, in pandas._libs.tslib.convert_to_tsobject
File "pandas/_libs/tslib.pyx", line 1669, in pandas._libs.tslib.convert_datetime_to_tsobject
File "pandas/_libs/tslib.pyx", line 1848, in pandas._libs.tslib._check_dts_bounds
pandas._libs.tslib.OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 1-01-01 07:00:00
示例数据框：
| 约会ID | 开始时间 | 时间结束 | emp_id |
|---|---|---|---|
| 302205 | 2016-10-26 17:30:00 | 2016-10-26 18:30:00 | 45807 |
| 462501 | 2017-04-10 13:00:00 | 钠盐 | 45807 |
我怎样才能避免这个错误？