def on_change_module_plot_type(widget, event, data):
if date_selection_waffle.v_model and parameter_selection_waffle.v_model:
with waffle:
waffle.clear_output()
genotype = genotypes_selection_waffle.v_model
vids = get_vid_of_genotype(misc.all_mtg, [genotype])
df = extract_at_module_scale(misc.all_mtg, vids=vids)
if aggfunc_selection_waffle.v_model == 'concat_string':
tmp = df2waffle(df,
index='order',
date=date_selection_waffle.v_model,
variable=parameter_selection_waffle.v_model,
aggfunc=lambda x: ' '.join(x),
crosstab=False)
else:
tmp = df2waffle(df,
index='order',
date=date_selection_waffle.v_model,
variable=parameter_selection_waffle.v_model,
aggfunc=aggfunc_selection_waffle.v_model,
crosstab=False)
fig = plot_waffle(
tmp,
# layout=layout,
plot_func=data)
display(fig)
def on_change_node_waffle_parameter(widget, event, data):
if not date_selection_waffle.v_model:
pass
else:
with waffle:
waffle.clear_output()
genotype = genotypes_selection_waffle.v_model
vids = get_vid_of_genotype(misc.all_mtg, [genotype])
df = extract_at_node_scale(misc.all_mtg, vids=vids)
tmp = df2waffle(df,
index='rank',
date=date_selection_waffle.v_model,
variable=data,
order=order_selection_waffle.v_model)
# TODO: remove the legend here (which only apply to branching_type)
l_names = {
"1": "Stolon",
"2": "Vegetative bud",
"3": "Initiated bud",
"4": "Aborted bud",
"5": "Floral bud",
"6": "Branch crown"
}
fig = plot_waffle(
tmp,
# layout=layout,
legend_name=l_names,
plot_func=plot_type_waffle.v_model)
display(fig)
def test_df2waffle():
files = shared_data(openalea.strawberry).glob('*.mtg')
mtg_path = dict((name(f), f) for f in files)
mtg = read_mtg_file(mtg_path['Capriss'])
df = extract_at_node_scale(mtg)
node_scale = df2waffle(df,
index='rank',
date='2015/03/02',
variable='branching_type')
assert node_scale.shape == (20, 9)
df = extract_at_module_scale(mtg)
module_scale = df2waffle(df,
index='order',
date='2015/03/02',
variable='crown_status',
aggfunc='median')
assert module_scale.shape == (3, 9)
def on_change_date_p3(widget, event, data):
genotype = genotypes_selection_analyze.v_model
vids = get_vid_of_genotype(misc.all_mtg, [genotype])
df = extract_at_module_scale(misc.all_mtg, vids=vids)
tmp = df2waffle(df,
index='order',
date=data,
variable='stage',
crosstab=True)
try:
fig = plot_pie(tmp)
fig.update_layout(
title="Percentage representation of each stage at one date")
transfert_figure_pie(fig, pie_plantscale)
except ValueError:
pass