Closed
Description
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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(optional) I have confirmed this bug exists on the master branch of pandas.
Code Sample, a copy-pastable example
>>> import numpy as np
>>> import pandas as pd
>>>
>>> pd.__version__
'1.1.0.dev0+1436.g6016b9841'
>>>
>>> from pandas.tests.extension.arrow.arrays import ArrowBoolDtype
>>>
>>> pd.Series(index=[1, 2, 3], dtype=ArrowBoolDtype())
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\simon\pandas\pandas\core\series.py", line 283, in __init__
data, index = self._init_dict(data, index, dtype)
File "C:\Users\simon\pandas\pandas\core\series.py", line 372, in _init_dict
s = create_series_with_explicit_dtype(
File "C:\Users\simon\pandas\pandas\core\construction.py", line 624, in create_series_with_explicit_dtype
return Series(
File "C:\Users\simon\pandas\pandas\core\series.py", line 329, in __init__
data = sanitize_array(data, index, dtype, copy, raise_cast_failure=True)
File "C:\Users\simon\pandas\pandas\core\construction.py", line 454, in sanitize_array
subarr = _try_cast(data, dtype, copy, raise_cast_failure)
File "C:\Users\simon\pandas\pandas\core\construction.py", line 537, in _try_cast
subarr = array_type(arr, dtype=dtype, copy=copy)
File "C:\Users\simon\pandas\pandas\tests\extension\arrow\arrays.py", line 82, in _from_sequence
return cls.from_scalars(scalars)
File "C:\Users\simon\pandas\pandas\tests\extension\arrow\arrays.py", line 72, in from_scalars
arr = pa.chunked_array([pa.array(np.asarray(values))])
File "pyarrow\array.pxi", line 265, in pyarrow.lib.array
File "pyarrow\array.pxi", line 80, in pyarrow.lib._ndarray_to_array
File "pyarrow\error.pxi", line 84, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: only handle 1-dimensional arrays
>>>Problem description
raises pyarrow.lib.ArrowInvalid
Expected Output
1 pa.NULL
2 pa.NULL
3 pa.NULL
dtype: arrow_bool
Output of pd.show_versions()
[paste the output of pd.show_versions() here leaving a blank line after the details tag]