我想使用 jupyter 笔记本在开普勒 gl 地图上可视化数据。我从 xlsx 文件导入数据并选择了一张纸（一个 DataFrame 对象）。之后，我将此数据添加到开普勒地图并得到了错误：
ValueError: NaTType does not support strftime
sales_sheets2 = pd.read_excel("Sales_with_coordinates.xlsx", sheet_name=None)
data = sales_sheets2['Feb 2014']
from keplergl import KeplerGl
map_2 = KeplerGl(height=400)
map_2.add_data(data=data, name='data_1')
map_2
如何解决这个问题呢 ？Pandas DataFrame 有问题吗？我发现了几篇关于这个错误的文章，但它们都与将日历数据转换为不同的格式有关，但我不明白这在 Kepler 中是如何工作的。
这是追溯
User Guide: https://docs.kepler.gl/docs/keplergl-jupyter
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-13-f3128ba8751f> in <module>
1 from keplergl import KeplerGl
2 map_2 = KeplerGl(height=400)
----> 3 map_2.add_data(data=a, name='data_1')
4 map_2
~/Anaconda3/lib/python3.8/site-packages/keplergl/keplergl.py in add_data(self, data, name)
134 copy.update({name: normalized})
135
--> 136 self.data = copy
137
138 def _repr_html_(self, data=None, config=None, read_only=False, center_map=False):
~/Anaconda3/lib/python3.8/site-packages/traitlets/traitlets.py in __set__(self, obj, value)
602 raise TraitError('The "%s" trait is read-only.' % self.name)
603 else:
--> 604 self.set(obj, value)
605
606 def _validate(self, obj, value):
~/Anaconda3/lib/python3.8/site-packages/traitlets/traitlets.py in set(self, obj, value)
591 # we explicitly compare silent to True just in case the equality
592 # comparison above returns something other than True/False
--> 593 obj._notify_trait(self.name, old_value, new_value)
594
595 def __set__(self, obj, value):
~/Anaconda3/lib/python3.8/site-packages/traitlets/traitlets.py in _notify_trait(self, name, old_value, new_value)
1215
1216 def _notify_trait(self, name, old_value, new_value):
-> 1217 self.notify_change(Bunch(
1218 name=name,
1219 old=old_value,
~/Anaconda3/lib/python3.8/site-packages/ipywidgets/widgets/widget.py in notify_change(self, change)
603 if name in self.keys and self._should_send_property(name, getattr(self, name)):
604 # Send new state to front-end
--> 605 self.send_state(key=name)
606 super(Widget, self).notify_change(change)
607
~/Anaconda3/lib/python3.8/site-packages/ipywidgets/widgets/widget.py in send_state(self, key)
487 state, buffer_paths, buffers = _remove_buffers(state)
488 msg = {'method': 'update', 'state': state, 'buffer_paths': buffer_paths}
--> 489 self._send(msg, buffers=buffers)
490
491
~/Anaconda3/lib/python3.8/site-packages/ipywidgets/widgets/widget.py in _send(self, msg, buffers)
735 """Sends a message to the model in the front-end."""
736 if self.comm is not None and self.comm.kernel is not None:
--> 737 self.comm.send(data=msg, buffers=buffers)
738
739 def _repr_keys(self):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/comm/comm.py in send(self, data, metadata, buffers)
120 def send(self, data=None, metadata=None, buffers=None):
121 """Send a message to the frontend-side version of this comm"""
--> 122 self._publish_msg('comm_msg',
123 data=data, metadata=metadata, buffers=buffers,
124 )
~/Anaconda3/lib/python3.8/site-packages/ipykernel/comm/comm.py in _publish_msg(self, msg_type, data, metadata, buffers, **keys)
63 data = {} if data is None else data
64 metadata = {} if metadata is None else metadata
---> 65 content = json_clean(dict(data=data, comm_id=self.comm_id, **keys))
66 self.kernel.session.send(self.kernel.iopub_socket, msg_type,
67 content,
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in json_clean(obj)
189 out = {}
190 for k,v in iteritems(obj):
--> 191 out[unicode_type(k)] = json_clean(v)
192 return out
193 if isinstance(obj, datetime):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in json_clean(obj)
189 out = {}
190 for k,v in iteritems(obj):
--> 191 out[unicode_type(k)] = json_clean(v)
192 return out
193 if isinstance(obj, datetime):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in json_clean(obj)
189 out = {}
190 for k,v in iteritems(obj):
--> 191 out[unicode_type(k)] = json_clean(v)
192 return out
193 if isinstance(obj, datetime):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in json_clean(obj)
189 out = {}
190 for k,v in iteritems(obj):
--> 191 out[unicode_type(k)] = json_clean(v)
192 return out
193 if isinstance(obj, datetime):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in json_clean(obj)
189 out = {}
190 for k,v in iteritems(obj):
--> 191 out[unicode_type(k)] = json_clean(v)
192 return out
193 if isinstance(obj, datetime):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in json_clean(obj)
175
176 if isinstance(obj, list):
--> 177 return [json_clean(x) for x in obj]
178
179 if isinstance(obj, dict):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in <listcomp>(.0)
175
176 if isinstance(obj, list):
--> 177 return [json_clean(x) for x in obj]
178
179 if isinstance(obj, dict):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in json_clean(obj)
175
176 if isinstance(obj, list):
--> 177 return [json_clean(x) for x in obj]
178
179 if isinstance(obj, dict):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in <listcomp>(.0)
175
176 if isinstance(obj, list):
--> 177 return [json_clean(x) for x in obj]
178
179 if isinstance(obj, dict):
~/Anaconda3/lib/python3.8/site-packages/ipykernel/jsonutil.py in json_clean(obj)
192 return out
193 if isinstance(obj, datetime):
--> 194 return obj.strftime(ISO8601)
195
196 # we don't understand it, it's probably an unserializable object
pandas/_libs/tslibs/nattype.pyx in pandas._libs.tslibs.nattype._make_error_func.f()
ValueError: NaTType does not support strftime