reference_year=reference_date.dropdown_objects[0].value,
reference_month=reference_date.dropdown_objects[1].value,
)
init_data_set = define_datasets(static=static, dfs=dfs, **CONTROLS)
########################################
# DATACARDS #
########################################
# DATACARD 1 #
country_overview_scatter = ChartDataCard(
title=
"Overview: Across the country, the number of $label$ changed by between 04-2019 and 04-2020",
fig_title="Total number of $label$ across the country",
data=init_data_set,
data_transform=scatter_country_plot,
fig_type="Scatter",
)
country_overview_scatter.set_colors({
"fig": {
2018: "rgb(185, 221, 241)",
2019: "rgb(106, 155, 195)",
2020: "rgb(200, 19, 60)",
}
})
# DATACARD 2 #
country_overview_map = MapDataCard(
@timeit
def scatter_reporting_district_plot_tooltip(data):
data_in = data.get("reporting_district")
data_out = reporting_count_transform_tooltip(data_in.copy())
return data_out
# DATACARD 7 #
stacked_bar_district = ChartDataCard(
data=init_data_set,
data_transform=scatter_reporting_district_plot,
fig_title="$label$",
fig_object="Scatter",
trace_params=scatter_reporting_district_plot_tooltip(init_data_set),
)
stacked_bar_district.set_colors({
"fig": {
"Percentage of facilities expected to report which reported on their 105-1 form":
"rgb(106, 155, 195)",
"Percentage of reporting facilities that reported a value of one or above for this indicator":
"rgb(200, 19, 60)",
},
"title": "white",
"subtitle": "rgb(34, 94, 140)",
})
compare_map = MapDataCard(
data=init_data_set,
data_transform=map_country_compare_plot,
geodata=shapefile,
locations="id",
map_tolerance=0.005,
)
bar_chart_ranks_bottom = ChartDataCard(
data=init_data_set,
data_transform=bar_country_compare_plot,
fig_object="Bar",
bar_mode="overlay",
fig_orientation="h",
trace_params={
"textposition": "inside",
"texttemplate": "%{x:%}",
"marker": {
"color": "rgb(211, 41, 61)"
},
"showlegend": False,
"hoverinfo": "none",
},
)
trends_map_compare = CardLayout(
title="$label$",
elements=[compare_map, bar_chart_ranks_bottom],
dropdown=dropdown,
)
period_map = MapDataCard(
data=init_data_set,
data_transform=map_country_dated_plot,
geodata=shapefile,
locations="id",
map_tolerance=0.005,
)
bar_chart_ranks_bottom = ChartDataCard(
data=init_data_set,
data_transform=bar_country_dated_plot,
fig_object="Bar",
fig_orientation="h",
trace_params={
"textposition": "inside",
"texttemplate": "%{x:,.0}",
"marker": {
"color": "rgb(184, 190, 200)"
},
"showlegend": False,
"hoverinfo": "none",
},
)
trends_map_period = CardLayout(
title="$label$",
elements=[period_map, bar_chart_ranks_bottom],
dropdown=dropdown,
)
# DATACARD 1 #
db = Database()
# TODO The class would need to include this title function by default to avoid repetition
default_title = get_title_country_overview(
scatter_country_plot(init_data_set),
db.get_indicator_view(DEFAULTS.get("indicator")),
**DEFAULTS,
)
country_overview_scatter = ChartDataCard(
title=default_title,
fig_title="$label$",
data=init_data_set,
data_transform=scatter_country_plot,
fig_type="Scatter",
)
country_overview_scatter.set_colors({
"fig": {
YEARS[0]: "rgb(185, 221, 241)",
YEARS[1]: "rgb(106, 155, 195)",
YEARS[2]: "rgb(13, 119, 65)",
YEARS[3]: "rgb(200, 19, 60)",
},
"title": "white",
"subtitle": "rgb(34, 94, 140)",
})
return title
# DATACARD 3 #
db = Database()
default_title = get_title_district_overview(
scatter_district_plot(init_data_set),
db.get_indicator_view(DEFAULTS.get("indicator")),
**DEFAULTS,
)
district_overview_scatter = ChartDataCard(
title=default_title,
fig_title="$label$",
data=init_data_set,
data_transform=scatter_district_plot,
fig_type="Scatter",
)
district_overview_scatter.set_colors({
"fig": {
YEARS[0]: "rgb(185, 221, 241)",
YEARS[1]: "rgb(106, 155, 195)",
YEARS[2]: "rgb(13, 119, 65)",
YEARS[3]: "rgb(200, 19, 60)",
},
})
visible_id=False,
)
tree_map_district = AreaDataCard(
fig_title="$label$",
data=init_data_set,
data_transform=tree_map_district_dated_plot,
fig_object="Treemap",
dropdown=dropdown,
)
tree_map_district.set_colors({"fig": ["#e2d5d1", "#96c0e0", "#3c6792"]})
facility_scatter = ChartDataCard(
fig_title="$label$",
data=init_data_set,
data_transform=scatter_facility_plot,
)
facility_scatter.set_colors(
{
"fig": {
YEARS[0]: "rgb(185, 221, 241)",
YEARS[1]: "rgb(106, 155, 195)",
YEARS[2]: "rgb(13, 119, 65)",
YEARS[3]: "rgb(200, 19, 60)",
},
}
)