def stack(dataset):
meta, data = dataset
_stack = qp.Stack(NAME_PROJ,
add_data={DATA_KEY: {'meta': meta,
'data': data.copy().head(250)}})
yield _stack
del _stack
def test_sig_diff_details(self):
dataset = self._get_dataset()
x = 'q5_3'
y = 'gender'
sig_level = 0.05
# here we use sig diff with the default parameters, which mimic Dimensions
with_sigdiff = dataset.crosstab(x,
y,
ci=['counts', 'c%'],
sig_level=sig_level)
# TODO: we can add expected sig-diffs here
assert with_sigdiff.shape == (22, 2)
# here we can test the sig-diff with different parameters
stack = qp.Stack(
name='sig',
add_data={'sig': {
'meta': dataset.meta(),
'data': dataset.data()
}})
stack.add_link(data_keys=['sig'], x=x, y=y, views=['c%', 'counts'])
link = stack['sig']['no_filter'][x][y]
test = qp.Test(link, 'x|f|:|||counts')
# possible parameters are here:
#https://github.com/Quantipy/quantipy3/blob/master/quantipy/core/quantify/engine.py#L1783
test = test.set_params(level=sig_level)
df = test.run()
# assert that we only have 1 significanctly higher value
assert df[('gender', 2)].isna().sum() == 7
assert df[('gender', 1)].isna().sum() == 6
def stack(dataset):
meta, data = dataset
data.loc[30:, 'q5_2'] = np.NaN
data.loc[30:, 'q5_4'] = np.NaN
store = {DATA_KEY: {'meta': meta, 'data': data.copy()}}
_stack = qp.Stack(NAME_PROJ, add_data=store)
yield _stack
del _stack
def test_vm_p_b_w_both(self):
path_stack = './tests/stack_vm.stack'
stack = qp.Stack('viewmanager').load(path_stack, load_cache=True)
vm = ViewManager(stack, basics=True, nets=False, stats=None, tests=None)
vm_views = vm.get_views(cell_items='p', weights='weight_a', bases='both').group().views
self.assertEqual(vm_views, E['p_b_w_both'])
path_cache = './tests/stack_vm.cache'
os.remove(path_stack)
os.remove(path_cache)
def stack(request, dataset):
meta, data = dataset
obj = qp.Stack(NAME_PROJ, add_data={'#': {'meta': meta, 'data': data}})
@request.addfinalizer
def teardown():
obj.pop('#')
return obj
def test_vm_p_b(self):
path_stack = './tests/stack_vm.stack'
stack = qp.Stack('viewmanager').load(path_stack, load_cache=True)
vm = ViewManager(stack)
vm.get_views(cell_items='colpct', freqs=True, nets=False,
stats=None, tests=None, weight=None,
bases='auto')
vm.set_bases('uw', 'uw', False, ['gross', 'base'])
vm_views = vm.views
self.assertEqual(vm_views, E['p_b'])
def test_vm_cp_b_w_auto(self):
path_stack = './tests/stack_vm.stack'
stack = qp.Stack('viewmanager').load(path_stack, load_cache=True)
vm = ViewManager(stack)
vm.get_views(cell_items='counts_colpct', freqs=True,
nets=False, stats=None, tests=None,
weight='weight_a', bases='auto')
vm.set_bases('w', 'w', 'w', ['gross', 'base', 'effective'])
vm_views = vm.views
self.assertEqual(vm_views, E['cp_b_w_auto'])
def test_vm_p_b_n_s_t_w_both(self):
path_stack = './tests/stack_vm.stack'
stack = qp.Stack('viewmanager').load(path_stack, load_cache=True)
vm = ViewManager(stack)
vm.get_views(cell_items='colpct', freqs=True, nets=True,
stats=['mean', 'stddev'], tests=['0.05'],
weight='weight_a', bases='both')
vm.set_bases('both', 'both', 'w', ['gross', 'base', 'effective'],
'before', True)
vm_views = vm.views
self.assertEqual(vm_views, E['p_b_n_s_t_w_both'])
def test_vm_p_b_w_both(self):
path_stack = './tests/stack_vm.stack'
stack = qp.Stack('viewmanager').load(path_stack, load_cache=True)
vm = ViewManager(stack)
vm.get_views(cell_items='colpct', freqs=True, nets=False,
stats=None, tests=None, weight='weight_a',
bases='both')
vm.set_bases('both', 'both', 'w', ['gross', 'base', 'effective'],
'before', True)
vm_views = vm.views
self.assertEqual(vm_views, E['p_b_w_both'])
path_cache = './tests/stack_vm.cache'
os.remove(path_stack)
os.remove(path_cache)
def test_vm_cp_b(self):
path_stack = './tests/stack_vm.stack'
stack = qp.Stack('viewmanager').load(path_stack, load_cache=True)
vm = ViewManager(stack, basics=True, nets=False, stats=None, tests=None)
vm_views = vm.get_views(cell_items='cp', weights=None, bases='auto').group().views
self.assertEqual(vm_views, E['cp_b'])
def test_vm_p_b_n_s_t_w_both(self):
path_stack = './tests/stack_vm.stack'
stack = qp.Stack('viewmanager').load(path_stack, load_cache=True)
vm = ViewManager(stack, basics=True, nets=True, stats=['mean', 'stddev'], tests=['0.05'])
vm_views = vm.get_views(cell_items='p', weights='weight_a', bases='both').group().views
self.assertEqual(vm_views, E['p_b_n_s_t_w_both'])