我是一个新手熊猫用户，并为一些麻烦感到沮丧。
情况就是这样。这是最初的数据帧。
In [9]: df
Out[9]:
importance interval last_read last_update name trigger
0 2 NaN NaN 2017-12-09 00:00:00+09:00 foobar NaN
这是追加的记录。
In [10]: record = df.iloc[0].copy()
附加此记录时没有错误。
In [11]: df.append(record)
Out[11]:
importance interval last_read last_update name trigger
0 2 NaN NaN 2017-12-09 00:00:00+09:00 foobar NaN
0 2 NaN NaN 2017-12-09 00:00:00+09:00 foobar NaN
将记录的NaN值更改为int并附加它，并且不会发生错误。
In [12]: record['interval'] = 1
In [13]: df.append(record)
Out[13]:
importance interval last_read last_update name trigger
0 2 NaN NaN 2017-12-09 00:00:00+09:00 foobar NaN
0 2 1 NaN 2017-12-09 00:00:00+09:00 foobar NaN
然后将记录的另一个NaN值更改为pd.Timestamp并追加。这发生了错误。
In [10]: record
Out[10]:
importance 2
interval NaN
last_read NaN
last_update 2017-12-09 00:00:00+09:00
name foobar
trigger NaN
Name: 0, dtype: object
In [11]: record['trigger'] = record['last_update']
In [12]: record
Out[12]:
importance 2
interval NaN
last_read NaN
last_update 2017-12-09 00:00:00+09:00
name foobar
trigger 2017-12-09 00:00:00+09:00
Name: 0, dtype: object
In [13]: df.append(record)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-13-7c027f1cbb54> in <module>()
----> 1 df.append(record)
~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in append(self, other, ignore_index, verify_integrity)
4545 to_concat = [self, other]
4546 return concat(to_concat, ignore_index=ignore_index,
-> 4547 verify_integrity=verify_integrity)
4548
4549 def join(self, other, on=None, how='left', lsuffix='', rsuffix='',
~/anaconda3/lib/python3.6/site-packages/pandas/core/reshape/concat.py in concat(objs, axis, join, join_axes, ignore_index, keys, levels, names, verify_integrity, copy)
205 verify_integrity=verify_integrity,
206 copy=copy)
--> 207 return op.get_result()
208
209
~/anaconda3/lib/python3.6/site-packages/pandas/core/reshape/concat.py in get_result(self)
405 new_data = concatenate_block_managers(
406 mgrs_indexers, self.new_axes, concat_axis=self.axis,
--> 407 copy=self.copy)
408 if not self.copy:
409 new_data._consolidate_inplace()
~/anaconda3/lib/python3.6/site-packages/pandas/core/internals.py in concatenate_block_managers(mgrs_indexers, axes, concat_axis, copy)
4830 blocks = [make_block(
4831 concatenate_join_units(join_units, concat_axis, copy=copy),
-> 4832 placement=placement) for placement, join_units in concat_plan]
4833
4834 return BlockManager(blocks, axes)
~/anaconda3/lib/python3.6/site-packages/pandas/core/internals.py in <listcomp>(.0)
4830 blocks = [make_block(
4831 concatenate_join_units(join_units, concat_axis, copy=copy),
-> 4832 placement=placement) for placement, join_units in concat_plan]
4833
4834 return BlockManager(blocks, axes)
~/anaconda3/lib/python3.6/site-packages/pandas/core/internals.py in concatenate_join_units(join_units, concat_axis, copy)
4937 to_concat = [ju.get_reindexed_values(empty_dtype=empty_dtype,
4938 upcasted_na=upcasted_na)
-> 4939 for ju in join_units]
4940
4941 if len(to_concat) == 1:
~/anaconda3/lib/python3.6/site-packages/pandas/core/internals.py in <listcomp>(.0)
4937 to_concat = [ju.get_reindexed_values(empty_dtype=empty_dtype,
4938 upcasted_na=upcasted_na)
-> 4939 for ju in join_units]
4940
4941 if len(to_concat) == 1:
~/anaconda3/lib/python3.6/site-packages/pandas/core/internals.py in get_reindexed_values(self, empty_dtype, upcasted_na)
5210 pass
5211 else:
-> 5212 missing_arr = np.empty(self.shape, dtype=empty_dtype)
5213 missing_arr.fill(fill_value)
5214 return missing_arr
TypeError: data type not understood
我的熊猫版本是0.20.3 你能给我一些建议吗？
谢谢