def setUp(self):
import warnings
warnings.filterwarnings(action='ignore', category=FutureWarning)
self.series_ints = Series(np.random.rand(4),
index=list(range(0, 8, 2)))
self.frame_ints = DataFrame(np.random.randn(4, 4),
index=list(range(0, 8, 2)),
columns=list(range(0, 12, 3)))
self.panel_ints = Panel(np.random.rand(4, 4, 4),
items=list(range(0, 8, 2)),
major_axis=list(range(0, 12, 3)),
minor_axis=list(range(0, 16, 4)))
self.series_labels = Series(np.random.randn(4), index=list('abcd'))
self.frame_labels = DataFrame(np.random.randn(4, 4),
index=list('abcd'),
columns=list('ABCD'))
self.panel_labels = Panel(np.random.randn(4, 4, 4),
items=list('abcd'),
major_axis=list('ABCD'),
minor_axis=list('ZYXW'))
self.series_mixed = Series(np.random.randn(4), index=[2, 4, 'null', 8])
self.frame_mixed = DataFrame(np.random.randn(4, 4),
index=[2, 4, 'null', 8])
self.panel_mixed = Panel(np.random.randn(4, 4, 4),
items=[2, 4, 'null', 8])
self.series_ts = Series(np.random.randn(4),
index=date_range('20130101', periods=4))
self.frame_ts = DataFrame(np.random.randn(4, 4),
index=date_range('20130101', periods=4))
self.panel_ts = Panel(np.random.randn(4, 4, 4),
items=date_range('20130101', periods=4))
#self.series_floats = Series(np.random.randn(4), index=[1.00, 2.00, 3.00, 4.00])
#self.frame_floats = DataFrame(np.random.randn(4, 4), columns=[1.00, 2.00, 3.00, 4.00])
#self.panel_floats = Panel(np.random.rand(4,4,4), items = [1.00,2.00,3.00,4.00])
self.frame_empty = DataFrame({})
self.series_empty = Series({})
self.panel_empty = Panel({})
# form agglomerates
for o in self._objs:
d = dict()
for t in self._typs:
d[t] = getattr(self, '%s_%s' % (o, t), None)
setattr(self, o, d)
def test_iloc_panel_issue(self):
# GH 3617
p = Panel(randn(4, 4, 4))
self.assert_(p.iloc[:3, :3, :3].shape == (3,3,3))
self.assert_(p.iloc[1, :3, :3].shape == (3,3))
self.assert_(p.iloc[:3, 1, :3].shape == (3,3))
self.assert_(p.iloc[:3, :3, 1].shape == (3,3))
self.assert_(p.iloc[1, 1, :3].shape == (3,))
self.assert_(p.iloc[1, :3, 1].shape == (3,))
self.assert_(p.iloc[:3, 1, 1].shape == (3,))
_frame = DataFrame(randn(10000, 4), columns=list('ABCD'), dtype='float64')
_frame2 = DataFrame(randn(100, 4), columns=list('ABCD'), dtype='float64')
_mixed = DataFrame({'A': _frame['A'].copy(),
'B': _frame['B'].astype('float32'),
'C': _frame['C'].astype('int64'),
'D': _frame['D'].astype('int32')})
_mixed2 = DataFrame({'A': _frame2['A'].copy(),
'B': _frame2['B'].astype('float32'),
'C': _frame2['C'].astype('int64'),
'D': _frame2['D'].astype('int32')})
_integer = DataFrame(
np.random.randint(1, 100,
size=(10001, 4)), columns=list('ABCD'), dtype='int64')
_integer2 = DataFrame(np.random.randint(1, 100, size=(101, 4)),
columns=list('ABCD'), dtype='int64')
_frame_panel = Panel(dict(ItemA=_frame.copy(), ItemB=(
_frame.copy() + 3), ItemC=_frame.copy(), ItemD=_frame.copy()))
_frame2_panel = Panel(dict(ItemA=_frame2.copy(), ItemB=(_frame2.copy() + 3),
ItemC=_frame2.copy(), ItemD=_frame2.copy()))
_integer_panel = Panel(dict(ItemA=_integer, ItemB=(_integer + 34).astype(
'int64')))
_integer2_panel = Panel(dict(ItemA=_integer2, ItemB=(_integer2 + 34).astype(
'int64')))
_mixed_panel = Panel(dict(ItemA=_mixed, ItemB=(_mixed + 3)))
_mixed2_panel = Panel(dict(ItemA=_mixed2, ItemB=(_mixed2 + 3)))
class TestExpressions(tm.TestCase):
_multiprocess_can_split_ = False
def setUp(self):
