regions = ctrl.ComboBox(items=get_regions, label="Region")
countries = ctrl.ComboBox(handler=countries_handler,
label="Country",
depends=[regions])
def country_output_handler(self: ctrl.Output, countries: ctrl.ComboBox):
df = get_data()
self.data = df[df["Country"] == countries.value()]
data_by_country_app = ds.app(
controls=[regions, countries],
outputs=[ctrl.Output(handler=country_output_handler, depends=[countries])])
def get_companies():
df = get_data()
return df["Company"].unique().tolist()
companies = ctrl.ComboBox(items=get_companies, label="Company")
def company_output_handler(self: ctrl.Output, companies: ctrl.ComboBox):
df = get_data()
row = df[df["Company"] == companies.value()].filter(
["y2015", "y2016", "y2017", "y2018", "y2019"], axis=1)
row.rename(columns={
import dstack.controls as ctrl
import dstack as ds
import plotly.express as px
@ds.cache()
def get_data():
return px.data.gapminder()
def output_handler(self: ctrl.Output, year: ctrl.Slider):
year = year.values[year.selected]
self.data = px.scatter(get_data().query("year==" + str(year)),
x="gdpPercap",
y="lifeExp",
size="pop",
color="country",
hover_name="country",
log_x=True,
size_max=60)
app = ds.app(controls=[
ctrl.Slider(values=get_data()["year"].unique().tolist(),
require_apply=False)
],
outputs=[ctrl.Output(handler=output_handler)])
result = ds.push('controls/slider', app)
print(result.url)
import dstack.controls as ctrl
import dstack as ds
import plotly.express as px
@ds.cache()
def get_data():
return px.data.stocks()
def symbols_handler(self: ctrl.ComboBox):
print("Calling symbols_handler")
self.items = get_data().columns[1:].tolist()
def output_handler(self, ticker):
print("Calling output_handler")
self.data = px.line(get_data(), x='date', y=ticker.value())
app = ds.app(controls=[(ctrl.ComboBox(handler=symbols_handler))],
outputs=[(ctrl.Output(handler=output_handler))])
result = ds.push("logs", app)
print(result.url)
import dstack as ds
import dstack.controls as ctrl
import pandas as pd
def app_handler(self: ctrl.Output, uploader: ctrl.FileUploader):
if len(uploader.uploads) > 0:
with uploader.uploads[0].open() as f:
self.data = pd.read_csv(f).head(100)
else:
self.data = ds.md("No file selected")
app = ds.app(controls=[ctrl.FileUploader(label="Select a CSV file")],
outputs=[ctrl.Output(handler=app_handler)])
url = ds.push("controls/file_uploader", app)
print(url)
import dstack.controls as ctrl
import dstack as ds
import plotly.express as px
@ds.cache()
def get_data():
return px.data.stocks()
def output_handler(self, ticker):
self.data = px.line(get_data(), x='date', y=ticker.value())
app = ds.app(
controls=[(ctrl.ComboBox(items=get_data().columns[1:].tolist()))],
outputs=[
ctrl.Output(data=ds.md(
"Here's a simple application with **Markdown** and a chart.")),
ctrl.Output(handler=output_handler)
])
result = ds.push("markdown", app)
print(result.url)
import dstack as ds
import dstack.controls as ctrl
from handlers import fake_handler
app = ds.app(outputs=[ctrl.Output(handler=fake_handler)],
depends=["handlers", "utils"],
requirements="requirements.txt")
# An equal alternative to this is the following:
# ds.app(outputs=[ctrl.Output(handler=fake_handler)], depends=["numpy", "pandas", "faker==5.5.0", "handlers", "utils"])
url = ds.push("depends", app)
print(url)