def test_col_order(self):
dxp.box(x='price',
y='neighborhood',
data=airbnb,
split='superhost',
col='property_type',
col_order=['House', 'Condominium'])
def test_x_order(self):
dxp.box(x='price', y='neighborhood', data=airbnb,
y_order=['Dupont Circle', 'Edgewood', 'Union Station'])
with pytest.raises(ValueError):
dxp.box(x='price', y='neighborhood', data=airbnb,
y_order=['Dupont Circle', 'Edgewood', 'DOES NOT EXIST'])
def test_col_wrap(self):
dxp.box(x='price',
y='neighborhood',
data=airbnb,
split='superhost',
col='property_type',
wrap=2)
def test_row_col(self):
dxp.box(x='price',
y='neighborhood',
data=airbnb,
split='superhost',
col='property_type',
col_order=['House', 'Condominium', 'Apartment'],
row='bedrooms',
row_order=[0, 1, 2, 3])
def test_desc_values(self):
fig = dxp.box(x='price',
y='neighborhood',
data=airbnb,
sort_values='desc')
ticklabels = [t.get_text() for t in fig.axes[0].get_xticklabels()]
ticklabels = [label.replace('\n', ' ') for label in ticklabels]
def test_row(self):
dxp.box(x='price', y='neighborhood', data=airbnb,
split='superhost', row='property_type')
def test_stacked(self):
dxp.box(x='price', y='neighborhood', data=airbnb,
split='superhost', split_order=['Yes', 'No'])
def test_split(self):
dxp.box(x='price', y='neighborhood', data=airbnb, split='superhost')
def test_vert(self):
dxp.box(x='neighborhood', y='price', data=airbnb, orientation='v')
def test_lex_desc(self):
fig = dxp.box(x='price', y='neighborhood', data=airbnb, sort='lex_desc')
ticklabels = [t.get_text() for t in fig.axes[0].get_xticklabels()]
correct = sorted(ticklabels, reverse=True)
assert ticklabels == correct
def test_lex_asc(self):
fig = dxp.box(x='price', y='neighborhood', data=airbnb)
ticklabels = [t.get_text() for t in fig.axes[0].get_xticklabels()]
correct = sorted(ticklabels)
assert ticklabels == correct
