def test_constructor(self):
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
self.assertRaises(ValueError, SparsePanel, self.data_dict,
items=['Item0', 'ItemA', 'ItemB'])
with tm.assertRaisesRegexp(TypeError,
"input must be a dict, a 'list' was "
"passed"):
SparsePanel(['a', 'b', 'c'])
def setUp(self):
self.data_dict = {
'ItemA': panel_data1(),
'ItemB': panel_data2(),
'ItemC': panel_data3(),
'ItemD': panel_data1(),
}
self.panel = SparsePanel(self.data_dict)
def setUp(self):
self.data_dict = {
'ItemA': panel_data1(),
'ItemB': panel_data2(),
'ItemC': panel_data3(),
'ItemD': panel_data1(),
}
with tm.assert_produces_warning(FutureWarning):
self.panel = SparsePanel(self.data_dict)
def _read_sparse_panel(self, group, where=None):
default_fill_value = getattr(group._v_attrs, 'default_fill_value')
default_kind = getattr(group._v_attrs, 'default_kind')
items = self._read_index(group, 'items')
sdict = {}
for name in items:
key = 'sparse_frame_%s' % name
node = getattr(group, key)
sdict[name] = self._read_sparse_frame(node)
return SparsePanel(sdict, items=items, default_kind=default_kind,
default_fill_value=default_fill_value)
def test_to_frame(self):
def _compare_with_dense(panel):
slp = panel.to_frame()
dlp = panel.to_dense().to_frame()
self.assert_(np.array_equal(slp.values, dlp.values))
self.assert_(slp.index.equals(dlp.index))
_compare_with_dense(self.panel)
_compare_with_dense(self.panel.reindex(items=['ItemA']))
zero_panel = SparsePanel(self.data_dict, default_fill_value=0)
self.assertRaises(Exception, zero_panel.to_frame)
self.assertRaises(Exception,
self.panel.to_frame,
filter_observations=False)
def test_to_frame(self):
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
def _compare_with_dense(panel):
slp = panel.to_frame()
dlp = panel.to_dense().to_frame()
self.assert_numpy_array_equal(slp.values, dlp.values)
self.assertTrue(slp.index.equals(dlp.index))
_compare_with_dense(self.panel)
_compare_with_dense(self.panel.reindex(items=['ItemA']))
with tm.assert_produces_warning(FutureWarning):
zero_panel = SparsePanel(self.data_dict, default_fill_value=0)
self.assertRaises(Exception, zero_panel.to_frame)
self.assertRaises(Exception, self.panel.to_frame,
filter_observations=False)
def test_constructor_empty(self):
with tm.assert_produces_warning(FutureWarning):
sp = SparsePanel()
self.assertEqual(len(sp.items), 0)
self.assertEqual(len(sp.major_axis), 0)
self.assertEqual(len(sp.minor_axis), 0)
def test_deprecation(self):
with tm.assert_produces_warning(FutureWarning):
SparsePanel()
