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Description
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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 pandas as pd
>>>
>>> pd.__version__
'1.1.0.dev0+1436.g6016b9841'
>>>
>>> from pandas.tests.extension.json.array import JSONDtype
>>>
>>> pd.Series({"g": 63}, index=[1, 2, 3], dtype=JSONDtype())
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 441, 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\json\array.py", line 64, in _from_sequence
return cls(scalars)
File "C:\Users\simon\pandas\pandas\tests\extension\json\array.py", line 52, in __init__
raise TypeError("All values must be of type " + str(self.dtype.type))
TypeError: All values must be of type <class 'collections.abc.Mapping'>
Problem description
Extension arrays may be able to hold a collection as a scalar value. should this be allowed?
Expected Output
same as
>>> pd.Series([{"g": 63}, {"g": 63}, {"g": 63}], index=[1, 2, 3], dtype=JSONDtype())
1 {'g': 63}
2 {'g': 63}
3 {'g': 63}
dtype: json
Output of pd.show_versions()
[paste the output of pd.show_versions()
here leaving a blank line after the details tag]