def test_estimate_posteriors():
window = BayesConditions(
df=df,
y='isi',
treatment='stim',
condition=[
'neuron_x_mouse',
'i_trial',
],
group='mouse',
)
window.fit(model=models.model_single)
chart = window.plot(
x='stim:O',
column='neuron',
row='mouse',
)
chart.display()
chart = window.plot(
x='stim:O',
column='neuron',
row='mouse',
)
chart.display()
def test_plot_generic():
# conditions:
window = BayesConditions(df=df,
y='isi',
treatment='stim',
condition='neuron',
group='mouse')
window.fit(model=models.model_single)
window.plot()
def test_facet():
# conditions:
window = BayesConditions(df=df,
y='isi',
treatment='stim',
condition='neuron',
group='mouse')
window.fit(model=models.model_single)
window.plot(row='neuron', width=40)
window.plot(x='neuron').facet(column='mouse')
def test_conditions2():
df.neuron = df.neuron.astype(int)
window = BayesConditions(df=df,
y='isi',
treatment='stim',
condition='neuron',
group='mouse',
add_data=True)
window.fit(model=models.model_single, num_chains=1)
assert window.window.y in window.data_and_posterior
window.plot(x='stim:O', independent_axes=False, add_data=True)
def test_estimate_posteriors_data_overlay():
window = BayesConditions(df=df,
y='isi',
treatment='stim',
condition='neuron',
group='mouse')
window.fit(model=models.model_single, )
chart = window.plot(x='stim:O',
independent_axes=False,
column='neuron',
row='mouse')
chart.display()
def test_plot_slope_data_only():
window = BayesConditions(df=df, y='isi', treatment='stim')
chart = window.plot()
chart.display()