Py.Cafe
Interactive Taipy-Based Data Visualization
- app.py
- requirements.txt
app.py
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from taipy.gui import Gui
from math import cos, exp
value = 10
page = """
# Taipy *Getting Started*
Value: <|{value}|text|>
<|{value}|slider|on_change=on_slider|>
<|{data}|chart|>
"""
def on_slider(state):
state.data = compute_data(state.value)
def compute_data(decay:int)->list:
return [cos(i/6) * exp(-i*decay/600) for i in range(100)]
data = compute_data(value)
from flask import Flask
from taipy import Gui
flask_app = Flask(__name__)
@flask_app.route("/home")
def home_page():
return "The home page."
gui = Gui(page="# Taipy application", flask=flask_app)
gui._config.config['async_mode'] = "asgi"
gui.run()#services)
app = flask_app
# if __name__ == "__main__":
# Gui(page).run(title="Dynamic chart")
requirements.txt
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dash pandas taipy gitignore-parser # mock gevent # mock greenlet # mock pyarrow # mock pymongo # mock zope-interface # mock https://py.cafe/files/maartenbreddels/taipy-data-visualization/taipy-3.2.0.dev0-py3-none-any.whl https://py.cafe/files/maartenbreddels/taipy-data-visualization/watchdog-4.0.1-py3-none-any.whl