def interactive_distance_histograms(dm, sample_metadata):
def on_update(category, metadata, check_within, check_between):
order = []
if check_within:
order.append('Within')
if check_between:
order.append('Between')
distance_histogram(dm, category, metadata, order=order)
check_within = widgets.Checkbox(description='Show within category', value=True)
check_between = widgets.Checkbox(description='Show between category', value=True)
extras = widgets.VBox(children=[check_within, check_between])
return metadata_controls(sample_metadata, on_update, extras)
def interactive_plot_pcoa(metadata, dms):
def on_update(category, metadata, metric):
dm = dms[metric]
filtered_dm, _ = filter_dm_and_map(dm, metadata)
pc = pcoa(filtered_dm)
pc.plot(df=metadata,
column=category,
axis_labels=['PC 1', 'PC 2', 'PC 3'],
s=35).set_size_inches(12, 9)
metric_but = ipywidgets.Dropdown(options=list(dms.keys()), description='Metrics')
extras = ipywidgets.VBox(children=[metric_but])
return metadata_controls(metadata, on_update, extras)
def interactive_plot_pcoa(metadata, dms):
def on_update(category, metadata, metric):
dm = dms[metric]
filtered_dm, _ = filter_dm_and_map(dm, metadata)
pc = pcoa(filtered_dm)
pc.plot(df=metadata,
column=category,
axis_labels=['PC 1', 'PC 2', 'PC 3'],
s=35).set_size_inches(12, 9)
metric_but = ipywidgets.Dropdown(options=list(dms.keys()),
description='Metrics')
extras = ipywidgets.VBox(children=[metric_but])
return metadata_controls(metadata, on_update, extras)
def interactive_distance_histograms(dm, sample_metadata):
def on_update(category, metadata, check_within, check_between):
order = []
if check_within:
order.append('Within')
if check_between:
order.append('Between')
distance_histogram(dm, category, metadata, order=order)
check_within = ipywidgets.Checkbox(description='Show within category',
value=True)
check_between = ipywidgets.Checkbox(description='Show between category',
value=True)
extras = ipywidgets.VBox(children=[check_within, check_between])
return metadata_controls(sample_metadata, on_update, extras)
def interactive_distance_violinplots(dms, sample_metadata):
def on_update(category, metadata, metric, check_within, check_between):
order = []
if check_within:
order.append('Within')
if check_between:
order.append('Between')
dm = dms[metric]
distance_violinplots(dm, category, metadata, metric, order=order)
check_within = ipywidgets.Checkbox(description='Show within category', value=True)
check_between = ipywidgets.Checkbox(description='Show between category', value=True)
metric_but = ipywidgets.Dropdown(options=list(dms.keys()), description='Metrics')
extras = ipywidgets.VBox(children=[metric_but, check_within, check_between])
return metadata_controls(sample_metadata, on_update, extras)
def interactive_distance_violinplots(dms, sample_metadata):
def on_update(category, metadata, metric, check_within, check_between):
order = []
if check_within:
order.append('Within')
if check_between:
order.append('Between')
dm = dms[metric]
distance_violinplots(dm, category, metadata, metric, order=order)
check_within = ipywidgets.Checkbox(description='Show within category',
value=True)
check_between = ipywidgets.Checkbox(description='Show between category',
value=True)
metric_but = ipywidgets.Dropdown(options=list(dms.keys()),
description='Metrics')
extras = ipywidgets.VBox(
children=[metric_but, check_within, check_between])
return metadata_controls(sample_metadata, on_update, extras)
