Kann in einigen Fällen keine Serie an den Datenrahmen anhängen

Question

Ich bin ein Neuling Pandas Benutzer und für einige Schwierigkeiten verärgern.

Hier ist der Fall. Dies ist der anfängliche Datenrahmen.

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 

Und das ist der Datensatz zum Anhängen.

In [10]: record = df.iloc[0].copy() 

Kein Fehler beim Anhängen dieses Datensatzes.

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 

Ändern Sie einen NaN-Wert des Datensatzes in int und hängen Sie ihn an, und es tritt kein Fehler auf.

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 

Dann ändern Sie einen anderen NaN-Wert des Datensatzes in pd.Timestamp und append. Dies tritt ein Fehler auf.

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 

Meine Pandas Version 0.20.3
Könnten Sie mir einen Rat geben?

Danke

Answer 1

Das ist ein Fehler. Siehe den folgenden Link.

Github Issues #16044

Answer 2

Sie pd.to_datetime statt Zeitstempel versuchen und versuchen