def bar_color_by_year():
df = odo(g.ds, pd.DataFrame)
df1 = df.groupby(['production_year', 'color'
]).size().reset_index().rename(columns={0: 'count'})
sums = df.groupby(
['production_year',
'color']).agg('size').reset_index().groupby('production_year').sum()
df1['prc'] = df1.apply(lambda x: x[2] * 100 / sums.loc[x[0]], axis=1)
form = CarsRelativeValuesForm(request.args, csrf_enabled=False)
field = 'prc' if 'submit' in request.args and form.validate(
) and form.is_relative.data else 'count'
p = Bar(
df1,
values=field,
label='production_year',
stack='color',
legend=False, #'top_right',
title='Colors by Year of production',
xlabel="Year",
ylabel="Count",
)
p.background_fill_color = "beige"
return render(p, dict(form=form))
def systemEvolutionBarPlot(df, yLabel, values):
with Timer(key='systemEvolutionBarPlot', verbose=True):
p = Bar(df, label='snapshot', values=values, agg='sum', stack='software',
legend='bottom_left', bar_width=0.5, xlabel="Snapshots", ylabel=yLabel, responsive=True, height=200,tools='hover')
glyph_renderers = p.select(GlyphRenderer)
bar_source = [glyph_renderers[i].data_source for i in range(len(glyph_renderers))]
hover = p.select(HoverTool)
hover.tooltips = [
('software',' @software'),
('value', '@height'),
]
p.xaxis.formatter=FuncTickFormatter.from_py_func(getWeekStringTick)
p.axis.minor_tick_line_color = None
p.background_fill_color = "#fafafa"
p.legend.location = "top_left"
p.toolbar.logo = None
p.toolbar_location = None
legend=p.legend[0].legends
p.legend[0].legends=[]
l = Legend( location=(0, -30))
l.items=legend
p.add_layout(l, 'right')
return p
