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3 changes: 1 addition & 2 deletions pandas/__init__.py
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Expand Up @@ -65,8 +65,7 @@

# misc
np, Grouper, factorize, unique, value_counts, NamedAgg,
array, Categorical, set_eng_float_format, Series, DataFrame,
Panel)
array, Categorical, set_eng_float_format, Series, DataFrame)

from pandas.core.sparse.api import (
SparseArray, SparseDataFrame, SparseSeries, SparseDtype)
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1 change: 0 additions & 1 deletion pandas/core/api.py
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Expand Up @@ -35,7 +35,6 @@

from pandas.core.series import Series
from pandas.core.frame import DataFrame
from pandas.core.panel import Panel

# TODO: Remove import when statsmodels updates #18264
from pandas.core.reshape.reshape import get_dummies
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1 change: 0 additions & 1 deletion pandas/core/dtypes/generic.py
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Expand Up @@ -45,7 +45,6 @@ def _check(cls, inst):
ABCDataFrame = create_pandas_abc_type("ABCDataFrame", "_typ", ("dataframe", ))
ABCSparseDataFrame = create_pandas_abc_type("ABCSparseDataFrame", "_subtyp",
("sparse_frame", ))
ABCPanel = create_pandas_abc_type("ABCPanel", "_typ", ("panel",))
ABCSparseSeries = create_pandas_abc_type("ABCSparseSeries", "_subtyp",
('sparse_series',
'sparse_time_series'))
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2 changes: 0 additions & 2 deletions pandas/core/internals/concat.py
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Expand Up @@ -376,8 +376,6 @@ def is_uniform_join_units(join_units):
all(not ju.is_na or ju.block.is_extension for ju in join_units) and
# no blocks with indexers (as then the dimensions do not fit)
all(not ju.indexers for ju in join_units) and
# disregard Panels
all(ju.block.ndim <= 2 for ju in join_units) and
# only use this path when there is something to concatenate
len(join_units) > 1)

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2 changes: 1 addition & 1 deletion pandas/core/internals/managers.py
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Expand Up @@ -42,7 +42,7 @@

class BlockManager(PandasObject):
"""
Core internal data structure to implement DataFrame, Series, Panel, etc.
Core internal data structure to implement DataFrame, Series, etc.

Manage a bunch of labeled 2D mixed-type ndarrays. Essentially it's a
lightweight blocked set of labeled data to be manipulated by the DataFrame
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