def _dataframe_dict(data, index=None, filler='', header=None):
if isinstance(data, dict):
try:
if depth(data, isiter=True) < 2:
return data
except TypeError:
return data
if not isinstance(data, dict):
header = resolve_header(header)
if header is None:
header = get_header(data[0])
data = pack(data, header)
data = flatten(data)
data = fill_keys(data, filler)
return data
def test_basic(self):
keys = [(n, None) for n in names]
keys.extend(('self', n) for n in names)
flat = dictionary.flatten(basic_dict)
filled = dictionary.fill_keys(flat)
self.assertEqual(set(keys), set(filled))
def test_dict(self):
header = get_header(testdata[0])
custom_data = fill_keys(flatten(pack(testdata, header)), '')
result = dataframe_dict(testdata)
expected = dataframe_dict(custom_data)
assert_frame_equal(result, expected, check_names=True)