line_cumul_county = page.ui.charts.chartJs.line(y_columns=["cases", "deaths"],
x_axis="date")
line_cumul_county.options.scales.y_axis().ticks.toNumber()
line_cumul_county.options.stacked = True
line_cumul_county.options.tooltips.callbacks.labelNumber()
# Create a container for the HTML page
box = page.studio.containers.box()
box.extend([
dt, title_us, bar_states, title_state, line_cumul, title_county, row,
title, line_cumul_county
])
box.style.standard()
# Group data for the processing on the JavaScript side
grp = page.data.js.record(std.var("covidData",
global_scope=True)).filterGroup("aggData")
grp2 = page.data.js.record(std.var("covidData",
global_scope=True)).filterGroup("aggData2")
grp3 = page.data.js.record(std.var("covidData",
global_scope=True)).filterGroup("aggData3")
grp4 = page.data.js.record(std.var("covidData",
global_scope=True)).filterGroup("aggData4")
grp5 = page.data.js.record(std.var("covidData",
global_scope=True)).filterGroup("aggData5")
# Events sections for the interactivity
dt.select([
bar_states.build(
grp.match(datamap(components=[dt])).group().sumBy(
["cases", "deaths", "flips"], ["state"], cast_vals=True)),
])
[cols_keys.dom.add(events.value),
button.dom.events.trigger("click")])
line = page.ui.charts.chartJs.line(x_axis="Date", profile=True)
x_axis = line.options.scales.x_axes()
#x_axis.type = "time"
x_axis.ticks.callback("@")
line.options.elements.point.radius = 0
#line.options.scales.x_axes().distribution = 'linear'
tag = page.ui.rich.powered()
tag.style.css.margin_bottom = 5
tag.style.css.margin_top = 5
items.enter([cols_keys.dom.add(items.dom.content), items.dom.empty()])
button.click([
std.var("graphData").fromArrayToRecord().setVar("records"),
line.build(std.var("records"),
options={
"y_columns": cols_keys.dom.content,
"x_axis": "Date"
})
])
page.body.onReady([items.js.source(std.var("graphData")[0])])
if __name__ == "__main__":
# If the script is run directly for Python.
page.outs.html_file()
items.options.on_select([
cols_keys.dom.add(events.value, category='Country/Region'),
button.dom.events.trigger("click")
])
bar = page.ui.charts.chartJs.bar([], ['Confirmed', 'Deaths', 'Recovered'], 'Country/Region')
bar.options.scales.y_axis().ticks.toNumber()
ref = page.ui.texts.references.website(author="rsharankumar", name="Learn Data Science in 100Days", site="github",
url="https://github.com/rsharankumar/Learn_Data_Science_in_100Days")
box = page.studio.containers.box()
box.extend([title, items, page.ui.div([button_all, button_clear]), cols_keys, button, bar, ref])
box.style.standard()
grp = page.data.js.record(std.var("covidData", global_scope=True)).filterGroup("aggData")
button.click([
page.js.console.log(cols_keys.dom.content),
bar.build(grp.match(cols_keys.dom.content).group().sumBy(['Confirmed', 'Deaths', 'Recovered'], ['Country/Region']))
])
countries = set()
for rec in data:
countries.add(rec['Country/Region'])
button_all.click([
cols_keys.dom.clear(), cols_keys.dom.add(list(countries), category='Country/Region', no_duplicate=False)])
button_clear.click([cols_keys.dom.clear()])
page.body.onReady([std.var("covidData", data, global_scope=True), items.js.source(list(countries))])
def create_page():
page = Report()
page.headers.dev()
page.body.add_template(defined_style="doc")
page.theme = ThemeBlue.BlueGrey()
title = page.ui.title("Python")
page.ui.layouts.underline()
title.options.editable = True
sub_title = page.ui.titles.subtitle("The Python Community")
page.ui.menu(sub_title, post="/bar")
p = page.ui.paragraph('''
The [Python Software Foundation](https://www.python.org/psf/) and the global Python community welcome and encourage
participation by everyone. Our community is based on mutual respect, tolerance, and encouragement, and we are working
to help each other live up to these principles.
''',
options={"markdown": True})
page.ui.menu(p)
table = page.ui.tables.tabulator(mocks.languages)
page.ui.tables.menu(table, post="/table")
page.ui.titles.subtitle("Zoom on a package")
pkg_name = page.ui.fields.input("epyk",
label="Package name",
html_code="package")
bar_chart = page.ui.charts.chartJs.bar(y_columns=["download"],
x_axis="name")
menu_bar = page.ui.charts.menu(bar_chart,
post={
"url": "/chart",
"components": [pkg_name]
})
pie_chart = page.ui.charts.chartJs.pie(y_columns=["value"], x_axis="type")
menu_pie = page.ui.charts.menu(pie_chart,
post={
"url": "/pie",
"components": [pkg_name]
})
row = page.ui.row([[menu_bar, bar_chart], [menu_pie, pie_chart]],
position="top")
row.options.responsive = False
row.options.autoSize = False
sub_title2 = page.ui.titles.subtitle("Conferences and Workshops")
sub_title2.options.editable = True
p2 = page.ui.paragraph('''
There are a number of conferences held each year where the Python community gathers together (listed alphabetically):
''',
options={"markdown": True})
page.ui.menu(p2,
save_funcs=[page.js.alert(p2.dom.content)],
update_funcs=[p2.build("Updated paragraph")],
profile=True)
sq = page.ui.lists.squares(["DjangoCon Europe"])
page.ui.lists.menu(sq)
page.ui.layouts.hr().css({"margin-top": '20px'})
page.ui.titles.subtitle("Report powered by")
page.ui.rich.powered()
page.ui.icons.fixed("fas fa-file-download").click([
std.var("backboneData", global_scope=True).addComponent(sub_title),
page.js.clipboard(
std.var("backboneData", global_scope=True).stringify()),
page.js.window.download(
page.js.window.btoa(
std.var("backboneData", global_scope=True).stringify()),
"configuration.json")
# page.js.location.download(page.js.location.getUrlFromData(std.var("backboneData", global_scope=True).stringify()))
])
page.body.onReady([
std.var("backboneData", value={}, global_scope=True),
])
return page
line_cumul.options.stacked = True
line_cumul.options.tooltips.callbacks.labelNumber()
title = page.ui.title()
line_cumul_county = page.ui.charts.chartJs.line(y_columns=["cases", "deaths"], x_axis="date")
line_cumul_county.options.scales.y_axis().ticks.toNumber()
line_cumul_county.options.stacked = True
line_cumul_county.options.tooltips.callbacks.labelNumber()
# Create a container for the HTML page
box = page.studio.containers.box()
box.extend([dt, page.ui.row([us, [title_state, line_cumul]]), title_county, row, title, line_cumul_county])
box.style.configs.doc(background=page.theme.greys[0])
# Group data for the processing on the JavaScript side
grp = page.data.js.record(std.var("covidData", global_scope=True)).filterGroup("aggData")
grp2 = page.data.js.record(std.var("covidData", global_scope=True)).filterGroup("aggData2")
grp3 = page.data.js.record(std.var("covidData", global_scope=True)).filterGroup("aggData3")
grp4 = page.data.js.record(std.var("covidData", global_scope=True)).filterGroup("aggData4")
grp5 = page.data.js.record(std.var("covidData", global_scope=True)).filterGroup("aggData5")
# Events sections for the interactivity
dt.select(
us.build(grp.match(datamap(components=[dt])).group().sumBy(["deaths"], ["state"], cast_vals=True).to_dict('state', 'deaths') )
)
us.click([
title_state.build(us.activePoints().label),
bar.build(grp.match(datamap(attrs={"state": us.activePoints().label}, components=[dt])).group().sumBy(["cases", "deaths"], ["county"], cast_vals=True)),
bar_total.build(grp4.match(datamap(attrs={"state": us.activePoints().label}, components=[dt])).group().sumBy(["cases", "deaths", "fips"], ["state"], cast_vals=True)),
line_cumul.build(grp2.match(datamap(attrs={"state": us.activePoints().label})).group().sumBy(["cases", "deaths"], ["date"], cast_vals=True)),
button_all = page.ui.button("All languages")
button_all.style.css.margin_top = 5
button_all.style.css.margin_left = 20
button_all.style.css.margin_bottom = 5
table = page.ui.table()
table.config.layout.fitDataFill()
table.config.paginationSize = 10
table.style.strip()
box = page.studio.containers.box()
box.extend([title, items, cols_keys, items, button, button_all, table])
box.style.standard()
button.click([
table.js.clearData(),
table.js.setDataFromArray(
std.var("graphData"),
header=cols_keys.dom.content,
formatters={
"Date":
"(function(data){return data['Date'].toISOString().split('T')[0]})"
}),
table.js.redraw(True),
])
button_all.click([cols_keys.dom.add(std.var("graphData")[0])])
page.body.onReady([items.js.source(std.var("graphData")[0])])
cols_keys.items_style(style="bullets")
cols_keys.drop()
button = page.ui.buttons.colored("Display")
button.style.css.margin_top = 5
items.options.on_select([
cols_keys.dom.add(events.value),
button.dom.events.trigger("click")
])
line = page.ui.charts.c3.line(x_axis="Date")
tag = page.ui.rich.powered()
tag.style.css.margin_bottom = 5
tag.style.css.margin_top = 5
box = page.studio.containers.box()
box.extend([title, tag, items, cols_keys, button, line])
box.style.standard()
items.enter([cols_keys.dom.add(items.dom.content), items.dom.empty()])
button.click([
std.var("graphData").fromArrayToRecord().setVar("records"),
page.js.console.log(cols_keys.dom.content),
line.build(std.var("records"), options={"y_columns": cols_keys.dom.content, "x_axis": "Date"})
])
page.body.onReady([items.js.source(std.var("graphData")[0])])
row2 = page.ui.row([world2, [title_country2, bar2]], position="top")
row2.set_size_cols(7)
row2.options.responsive = False
powered = page.ui.rich.powered()
ref = page.ui.texts.references.website(author="rsharankumar", name="Learn Data Science in 100Days", site="github",
url="https://github.com/rsharankumar/Learn_Data_Science_in_100Days")
# Create a container for the HTML page
box = page.ui.div()
box.extend([title, powered, row, row2, ref])
box.style.configs.doc(background="white")
# Group data for the processing on the JavaScript side
grp = page.data.js.record(std.var("covidData", global_scope=True)).filterGroup("aggData")
grp3 = page.data.js.record(std.var("covidData", global_scope=True)).filterGroup("aggData3")
grp2 = page.data.js.record(std.var("covidData", global_scope=True)).filterGroup("aggData2")
world.click([
page.js.if_(world.activePoints().label == "United States of America", [
title_country.build("US"),
bar.build(grp.match(datamap(attrs={"Country/Region": "US"})).group().sumBy(
["Deaths", 'Confirmed', 'Recovered'], ["Country/Region"], cast_vals=True))
]).else_([
title_country.build(world.activePoints().label),
bar.build(grp3.match(datamap(attrs={"Country/Region": world.activePoints().label})).group().sumBy(
["Deaths", 'Confirmed', 'Recovered'], ["Country/Region"], cast_vals=True))
])
])