def update_plots(avg_month):
"""
Updates the plots
Args:
avg_month: month to use in time average
"""
return (
plt_ev.plot_timeserie(DFS[c.dfs.TRANS],
avg_month=avg_month,
height=self.plot_height),
plt_inv.total_worth_plot(DFS[c.dfs.LIQUID],
DFS[c.dfs.WORTH],
avg_month,
height=self.plot_height),
plt_li.plot_expenses_vs_liquid(DFS[c.dfs.LIQUID],
DFS[c.dfs.TRANS],
avg_month,
False,
height=self.plot_height),
plt_li.plot_months(DFS[c.dfs.LIQUID],
DFS[c.dfs.TRANS],
avg_month,
False,
height=self.plot_height),
)
def get_body(self):
return [
plt_db.get_summary(DFS),
lay.two_columns([
lay.card(
dcc.Graph(
id="plot_dash_evol",
config=c.dash.PLOT_CONFIG,
figure=plt_ev.plot_timeserie(
DFS[c.dfs.TRANS],
avg_month=c.dash.DEFAULT_SMOOTHING,
height=self.plot_height,
),
)),
lay.card(
dcc.Graph(
id="plot_dash_total_worth",
config=c.dash.PLOT_CONFIG,
figure=plt_inv.total_worth_plot(
DFS[c.dfs.LIQUID],
DFS[c.dfs.WORTH],
c.dash.DEFAULT_SMOOTHING,
height=self.plot_height,
),
)),
]),
lay.two_columns([
lay.card(
dcc.Graph(
id="plot_dash_l_vs_e",
config=c.dash.PLOT_CONFIG,
figure=plt_li.plot_expenses_vs_liquid(
DFS[c.dfs.LIQUID],
DFS[c.dfs.TRANS],
c.dash.DEFAULT_SMOOTHING,
False,
height=self.plot_height,
),
)),
lay.card(
dcc.Graph(
id="plot_dash_liq_months",
config=c.dash.PLOT_CONFIG,
figure=plt_li.plot_months(
DFS[c.dfs.LIQUID],
DFS[c.dfs.TRANS],
c.dash.DEFAULT_SMOOTHING,
False,
height=self.plot_height,
),
)),
]),
]
def update_plots(df_in, categories, timewindow, type_trans, aux):
"""
Updates the plots
Args:
df_in: transactions dataframe
categories: categories to use
timewindow: timewindow to use for grouping
type_trans: type of transacions [Expenses/Inc]
"""
df = u.dfs.filter_data(u.uos.b64_to_df(df_in), categories)
return (
plots.plot_timeserie(df, timewindow),
plots.plot_timeserie_by_categories(df, type_trans, timewindow),
)
def update_plots(categories, type_trans, timewindow, avg_month):
"""
Updates evolution plots
Args:
categories: categories to use
type_trans: type of transacions [Expenses/Inc]
timewindow: timewindow to use for grouping
avg_month: month to use in time average
"""
df = u.filter_data(DFS[c.dfs.TRANS], categories)
return (
plots.plot_timeserie(df, avg_month, timewindow),
plots.plot_timeserie_by_categories(df, DFS[c.dfs.CATEG],
avg_month, type_trans,
timewindow),
plots.plot_savings_ratio(df, avg_month, timewindow),
)
def get_body(self):
return [
lay.card(
dcc.Graph(
id="plot_evol",
config=c.dash.PLOT_CONFIG,
figure=plots.plot_timeserie(DFS[c.dfs.TRANS],
c.dash.DEFAULT_SMOOTHING,
self.def_tw),
)),
lay.card([
dcc.Graph(
id="plot_evo_detail",
config=c.dash.PLOT_CONFIG,
figure=plots.plot_timeserie_by_categories(
DFS[c.dfs.TRANS],
DFS[c.dfs.CATEG],
c.dash.DEFAULT_SMOOTHING,
self.def_type,
self.def_tw,
),
),
dbc.RadioItems(
id="radio_evol_type",
options=lay.get_options(
[c.names.EXPENSES, c.names.INCOMES]),
value=self.def_type,
inline=True,
),
]),
lay.card(
dcc.Graph(
id="plot_evo_savings",
config=c.dash.PLOT_CONFIG,
figure=plots.plot_savings_ratio(DFS[c.dfs.TRANS],
c.dash.DEFAULT_SMOOTHING,
self.def_tw),
)),
]