def fig_contexts_use(df, months, level, **kwargs):
col_count = 3
row_count = math.ceil(len(month_range(months)) / col_count)
figure = make_subplots(
row_count,
col_count,
specs=[[{
'type': 'domain'
} for c in range(col_count)] for r in range(row_count)],
subplot_titles=[MONTH_NAMES[m - 1] for m in month_range(months)])
def take_month(months):
for m in month_range(months):
yield trace_context_use(df[df.index.month == m],
level,
name=MONTH_NAMES[m - 1])
pie_factory = take_month(months)
try:
for r in range(row_count):
for c in range(col_count):
figure.add_trace(next(pie_factory), r + 1, c + 1)
except StopIteration as stop:
pass
return figure
def test_month_range(self):
d = datetime(2010, 4, 16, 23, 3)
start, end = utils.month_range(d)
self.assertEqual(datetime(2010, 4, 1), start)
self.assertEqual(datetime(2010, 4, 30, 23, 59, 59, 999999), end)
d = datetime(2012, 12, 27, 0, 0)
start, end = utils.month_range(d)
self.assertEqual(datetime(2012, 12, 1), start)
self.assertEqual(datetime(2012, 12, 31, 23, 59, 59, 999999), end)
def fig_total_capacity_2(df, month_caps, months):
machine_list = df['Tipo Máquina'].unique()
months = month_range(months)
month_names = [MONTH_NAMES[m - 1] for m in months]
figure = go.Figure()
for machine in machine_list:
texts = []
caps = []
for month in months:
total_cap = cap_per_machine_per_month(month_caps, machine, month)
hours = total_cap // 60
used_cap = df[df.index.month == month].groupby(
'Tipo Máquina')['Tiempo de uso en minutos'].sum().divide(
total_cap).multiply(100).round(2).get(machine, 0)
caps.append(used_cap)
texts.append(
f'{used_cap}% utilizado de una capacidad total de {hours} horas.'
)
figure.add_trace(
go.Bar(x=month_names, y=caps, name=machine, hovertext=texts))
figure.update_layout(barmode='group',
yaxis=dict(type='linear',
ticksuffix='%',
title='Capacidad Utilizada'))
return figure
def fig_records(df, months=None, stacked=False):
machine_list = df['Tipo Máquina'].unique()
months = month_range(months)
def create_frame(df, serie_name):
count = df['Tipo Máquina'].value_counts()
frame = pd.DataFrame({'Tipo de Máquina': machine_list})
frame[serie_name] = [count.get(machine, 0) for machine in machine_list]
return frame
extras = {'barmode': 'relative' if stacked else 'group'}
figure = go.Figure()
for m in months:
name = MONTH_NAMES[m - 1]
frame = create_frame(df[df.index.month == m], name)
figure.add_trace(
go.Bar(x=frame['Tipo de Máquina'],
y=frame[name],
name=name,
hoverinfo='name+y'))
if stacked and months:
frame = create_frame(df[df.index.month.isin(months)], 'Total')
figure.add_trace(
go.Scatter(x=frame['Tipo de Máquina'],
y=frame['Total'],
text=frame['Total'],
textposition='top center',
mode='text',
showlegend=False,
hoverinfo='skip'))
figure.update_layout(yaxis={'title': 'Número de registros'}, **extras)
return figure
def total_ranges():
return (
("prev_year", utils.prev_year_range()),
("this_year", utils.year_range()),
("prev_month", utils.prev_month_range()),
("this_month", utils.month_range()),
("prev_week", utils.prev_week_range()),
("this_week", utils.week_range()),
("this_day", utils.day_range()),
("prev_day", utils.prev_day_range()))
def fig_hours(df, months=None, stacked=False):
machine_list = df['Tipo Máquina'].unique()
months = month_range(months)
def create_frame(df, serie_name):
count = df.groupby('Tipo Máquina').sum(
)['Tiempo de uso en minutos'].divide(60).round(0)
frame = pd.DataFrame({'Tipo de Máquina': machine_list})
frame[serie_name] = [count.get(machine, 0) for machine in machine_list]
return frame
if months and type(months) == list:
df = df[df.index.month.isin(months)]
frame = create_frame(df, 'Total')
figure = go.Figure()
extras = {'barmode': 'relative' if stacked else 'group'}
for m in months:
name = MONTH_NAMES[m - 1]
frame = create_frame(df[df.index.month == m], name)
figure.add_trace(
go.Bar(y=frame['Tipo de Máquina'],
x=frame[name],
name=name,
hoverinfo='name+x',
orientation='h'))
if stacked and months:
frame = create_frame(df[df.index.month.isin(months)], 'Total')
figure.add_trace(
go.Scatter(y=frame['Tipo de Máquina'],
x=frame['Total'],
text=frame['Total'],
textposition='middle right',
mode='text',
showlegend=False,
hoverinfo='skip'))
figure.update_layout(
xaxis={'title': f'Horas de uso {"total" if stacked else ""}'},
**extras)
return figure
def take_month(months):
for m in month_range(months):
yield trace_context_use(df[df.index.month == m],
level,
name=MONTH_NAMES[m - 1])
