---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[2], line 8
      4 options = PipelineOptions()
      6 pipeline = beam.Pipeline(options=options)
----> 8 data = pipeline | 'CreateData' >> beam.Create(['Pandas, 2.0,2'])
     10 data | 'PrintData' >> beam.Map(print)
     11 # Ejecutar el pipeline

File /usr/local/lib/python3.11/site-packages/apache_beam/transforms/ptransform.py:1092, in _NamedPTransform.__ror__(self, pvalueish, _unused)
   1091 def __ror__(self, pvalueish, _unused=None):
-> 1092   return self.transform.__ror__(pvalueish, self.label)

File /usr/local/lib/python3.11/site-packages/apache_beam/transforms/ptransform.py:614, in PTransform.__ror__(self, left, label)
    612 pvalueish = _SetInputPValues().visit(pvalueish, replacements)
    613 self.pipeline = p
--> 614 result = p.apply(self, pvalueish, label)
    615 if deferred:
    616   return result

File /usr/local/lib/python3.11/site-packages/apache_beam/pipeline.py:666, in Pipeline.apply(self, transform, pvalueish, label)
    664 old_label, transform.label = transform.label, label
    665 try:
--> 666   return self.apply(transform, pvalueish)
    667 finally:
    668   transform.label = old_label

File /usr/local/lib/python3.11/site-packages/apache_beam/pipeline.py:674, in Pipeline.apply(self, transform, pvalueish, label)
    670 # Attempts to alter the label of the transform to be applied only when it's
    671 # a top-level transform so that the cell number will not be prepended to
    672 # every child transform in a composite.
    673 if self._current_transform() is self._root_transform():
--> 674   alter_label_if_ipython(transform, pvalueish)
    676 full_label = '/'.join(
    677     [self._current_transform().full_label, label or
    678      transform.label]).lstrip('/')
    679 if full_label in self.applied_labels:

File /usr/local/lib/python3.11/site-packages/apache_beam/utils/interactive_utils.py:71, in alter_label_if_ipython(transform, pvalueish)
     59 """Alters the label to an interactive label with ipython prompt metadata
     60 prefixed for the given transform if the given pvalueish belongs to a
     61 user-defined pipeline and current code execution is within an ipython kernel.
   (...)
     68 `Cell {prompt}: {original_label}`.
     69 """
     70 if is_in_ipython():
---> 71   from apache_beam.runners.interactive import interactive_environment as ie
     72   # Tracks user defined pipeline instances in watched scopes so that we only
     73   # alter labels for any transform to pvalueish belonging to those pipeline
     74   # instances, excluding any transform to be applied in other pipeline
     75   # instances the Beam SDK creates implicitly.
     76   ie.current_env().track_user_pipelines()

File /usr/local/lib/python3.11/site-packages/apache_beam/runners/interactive/interactive_environment.py:41
     39 from apache_beam.runners.direct import direct_runner
     40 from apache_beam.runners.interactive import cache_manager as cache
---> 41 from apache_beam.runners.interactive.messaging.interactive_environment_inspector import InteractiveEnvironmentInspector
     42 from apache_beam.runners.interactive.recording_manager import RecordingManager
     43 from apache_beam.runners.interactive.sql.sql_chain import SqlChain

File /usr/local/lib/python3.11/site-packages/apache_beam/runners/interactive/messaging/interactive_environment_inspector.py:26
     23 # pytype: skip-file
     25 import apache_beam as beam
---> 26 from apache_beam.runners.interactive.utils import as_json
     27 from apache_beam.runners.interactive.utils import obfuscate
     30 class InteractiveEnvironmentInspector(object):

File /usr/local/lib/python3.11/site-packages/apache_beam/runners/interactive/utils.py:33
     30 import pandas as pd
     32 import apache_beam as beam
---> 33 from apache_beam.dataframe.convert import to_pcollection
     34 from apache_beam.dataframe.frame_base import DeferredBase
     35 from apache_beam.internal.gcp import auth

File /usr/local/lib/python3.11/site-packages/apache_beam/dataframe/convert.py:33
     31 from apache_beam.dataframe import expressions
     32 from apache_beam.dataframe import frame_base
---> 33 from apache_beam.dataframe import transforms
     34 from apache_beam.dataframe.schemas import element_typehint_from_dataframe_proxy
     35 from apache_beam.dataframe.schemas import generate_proxy

File /usr/local/lib/python3.11/site-packages/apache_beam/dataframe/transforms.py:33
     31 from apache_beam import transforms
     32 from apache_beam.dataframe import expressions
---> 33 from apache_beam.dataframe import frames  # pylint: disable=unused-import
     34 from apache_beam.dataframe import partitionings
     35 from apache_beam.utils import windowed_value

File /usr/local/lib/python3.11/site-packages/apache_beam/dataframe/frames.py:1231
   1224       return func(*args, **kwargs)
   1226     return func(self, *args, **kwargs)
   1229 @populate_not_implemented(pd.Series)
   1230 @frame_base.DeferredFrame._register_for(pd.Series)
-> 1231 class DeferredSeries(DeferredDataFrameOrSeries):
   1232   def __repr__(self):
   1233     return (
   1234         f'DeferredSeries(name={self.name!r}, dtype={self.dtype}, '
   1235         f'{self._render_indexes()})')

File /usr/local/lib/python3.11/site-packages/apache_beam/dataframe/frames.py:1338, in DeferredSeries()
   1331 transpose = frame_base._elementwise_method('transpose', base=pd.Series)
   1332 shape = property(
   1333     frame_base.wont_implement_method(
   1334         pd.Series, 'shape', reason="non-deferred-result"))
   1336 @frame_base.with_docs_from(pd.Series)
   1337 @frame_base.args_to_kwargs(pd.Series)
-> 1338 @frame_base.populate_defaults(pd.Series)
   1339 def append(self, to_append, ignore_index, verify_integrity, **kwargs):
   1340   """``ignore_index=True`` is not supported, because it requires generating an
   1341   order-sensitive index."""
   1342   if not isinstance(to_append, DeferredSeries):

File /usr/local/lib/python3.11/site-packages/apache_beam/dataframe/frame_base.py:600, in populate_defaults.<locals>.wrap(func)
    599 def wrap(func):
--> 600   base_argspec = getfullargspec(unwrap(getattr(base_type, func.__name__)))
    601   if not base_argspec.defaults:
    602     return func

AttributeError: type object 'Series' has no attribute 'append'