def test_dynamic_lisa_rose():
_, y1, rose = _data_generation()
fig1, _ = dynamic_lisa_rose(rose)
plt.close(fig1)
fig2, _ = dynamic_lisa_rose(rose, attribute=y1)
plt.close(fig2)
fig3, _ = dynamic_lisa_rose(rose, c='r')
plt.close(fig3)
def test_dynamic_lisa_rose():
from splot.giddy import dynamic_lisa_rose
_, y1, rose = _data_generation()
fig1, _ = dynamic_lisa_rose(rose)
plt.close(fig1)
fig2, _ = dynamic_lisa_rose(rose, attribute=y1)
plt.close(fig2)
fig3, _ = dynamic_lisa_rose(rose, c="r")
plt.close(fig3)
raises(ValueError, dynamic_lisa_rose, rose, attribute=y1, color="blue")
def plot(self, attribute=None, ax=None, **kwargs):
"""
Plot the rose diagram.
Parameters
----------
attribute : (n,) ndarray, optional
Variable to specify colors of the colorbars.
ax : Matplotlib Axes instance, optional
If given, the figure will be created inside this axis.
Default =None. Note, this axis should have a polar projection.
**kwargs : keyword arguments, optional
Keywords used for creating and designing the plot.
Note: 'c' and 'color' cannot be passed when attribute is not None
Returns
-------
fig : Matplotlib Figure instance
Moran scatterplot figure
ax : matplotlib Axes instance
Axes in which the figure is plotted
"""
from splot.giddy import dynamic_lisa_rose
fig, ax = dynamic_lisa_rose(self, attribute=attribute, ax=ax, **kwargs)
return fig, ax
def test_dynamic_lisa_rose():
_, y1, rose = _data_generation()
fig1, _ = dynamic_lisa_rose(rose)
plt.close(fig1)
fig2, _ = dynamic_lisa_rose(rose, attribute=y1)
plt.close(fig2)
fig3, _ = dynamic_lisa_rose(rose, c='r')
plt.close(fig3)
assert_raises(ValueError,
dynamic_lisa_rose,
rose,
attribute=y1,
color='blue')
