BUG: Segmentation fault using tuple as iterator for DataFrame constructor

[simonjayhawkins]

Code Sample, a copy-pastable example if possible

Python 3.7.2 (default, Feb 21 2019, 17:35:59) [MSC v.1915 64 bit (AMD64)]
Type 'copyright', 'credits' or 'license' for more information
IPython 7.3.0 -- An enhanced Interactive Python. Type '?' for help.

In [1]: import pandas as pd

In [2]: pd.DataFrame(())
Out[2]: 
Empty DataFrame
Columns: []
Index: []

In [3]: pd.DataFrame((()))
Out[3]: 
Empty DataFrame
Columns: []
Index: []

In [4]: pd.DataFrame(((),()))
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-4-8f97dbc592ec> in <module>
----> 1 pd.DataFrame(((),()))

~\OneDrive\code\pandas-simonjayhawkins\pandas\core\frame.py in __init__(self, data, index, columns, dtype, copy)
    433                     if is_named_tuple(data[0]) and columns is None:
    434                         columns = data[0]._fields
--> 435                     arrays, columns = to_arrays(data, columns, dtype=dtype)
    436                     columns = ensure_index(columns)
    437

~\OneDrive\code\pandas-simonjayhawkins\pandas\core\internals\construction.py in to_arrays(data, columns, coerce_float, dtype)
    396     if isinstance(data[0], (list, tuple)):
    397         return _list_to_arrays(data, columns, coerce_float=coerce_float,
--> 398                                dtype=dtype)
    399     elif isinstance(data[0], compat.Mapping):
    400         return _list_of_dict_to_arrays(data, columns,

~\OneDrive\code\pandas-simonjayhawkins\pandas\core\internals\construction.py in _list_to_arrays(data, columns, coerce_float, dtype)
    423 def _list_to_arrays(data, columns, coerce_float=False, dtype=None):
    424     if len(data) > 0 and isinstance(data[0], tuple):
--> 425         content = list(lib.to_object_array_tuples(data).T)
    426     else:
    427         # list of lists

TypeError: Argument 'rows' has incorrect type (expected list, got tuple)

In [6]: pd.DataFrame(([],[]))
Segmentation fault

on 23.4

Python 3.7.2 (default, Feb 21 2019, 17:35:59) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> pd.__version__
'0.23.4'
>>> pd.DataFrame(((),()))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\simon\Anaconda3\envs\pandas-dev\lib\site-packages\pandas\core\frame.py", line 422, in __init__
    raise ValueError('DataFrame constructor not properly called!')
ValueError: DataFrame constructor not properly called!
>>> pd.DataFrame(([],[]))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\simon\Anaconda3\envs\pandas-dev\lib\site-packages\pandas\core\frame.py", line 422, in __init__
    raise ValueError('DataFrame constructor not properly called!')
ValueError: DataFrame constructor not properly called!

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]
INSTALLED VERSIONS

commit: c285290
python: 3.7.2.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: None.None

pandas: 0.25.0.dev0+240.gc28529051.dirty
pytest: 4.3.0
pip: 19.0.3
setuptools: 40.6.3
Cython: 0.29.5
numpy: 1.16.2
scipy: 1.2.1
pyarrow: 0.11.1
xarray: 0.11.3
IPython: 7.3.0
sphinx: 1.8.4
patsy: 0.5.1
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 3.0.2
openpyxl: 2.6.0
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.5
lxml.etree: 4.3.1
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: 1.2.18
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: 0.2.0
fastparquet: 0.2.1
pandas_gbq: None
pandas_datareader: None
gcsfs: None