def get_single_cell_data(df=None, coords=None, max_cells=None, **kwargs):
if df is None:
df = get_tile_graph_data_selection(coords=coords)
if df is None:
return None, None
# Downsample if necessary
n_cells_in_tile = len(df)
max_cells = max_cells or cfg.max_single_cells
if len(df) > max_cells:
logger.info(
'Sampling single cell data for %s cells down to %s records %s',
len(df), max_cells,
'' if coords is None else '[tile = ' + str(coords) + ']')
df = df.sample(n=max_cells, random_state=cfg.random_state)
raw_tile = get_tile_image(apply_display_settings=False, coords=coords)
display_tile = get_tile_image(apply_display_settings=True, coords=coords)
channels = data.get_tile_image_channels()
cell_data = lib.get_single_cell_data(df,
raw_tile,
display_tile,
channels,
cell_image_size=cfg.cell_image_size,
**kwargs)
return cell_data, n_cells_in_tile
def get_tile_nchannels():
return len(data.get_tile_image_channels())
children=[
html.Div(html.H4('Selected Cells', style=TITLE_STYLE),
id='single-cells',
className='two columns'),
html.Div([
html.Div(id='tile-title'),
lib.get_interactive_image(
'tile', ac['layouts']['tile'], style=TILE_IMAGE_STYLE)
],
className='seven columns',
style={
'overflowY': 'scroll',
'overflowX': 'scroll'
}),
get_image_settings_layout('tile-ch-{}',
data.get_tile_image_channels(),
'three columns')
]),
html.Div(className='row',
children=[
html.Div(html.Div([
dcc.Checklist(options=[{
'label': '',
'value': 'enabled'
}],
values=[],
id='enable-buffer',
style={
'display': 'inline-block',
'vertical-align': 'top',
'margin-top': '5px',