mtanco’s gists

mtanco / wave_plot_from_pandas.py

Created December 20, 2020 18:31

Example of how to format a pandas dataframe for plotting with native Wave plot functions

	# Plot / Dataframe
	# Examples of how to format pandas data when plotting
	# Use the `tolist()` function on `df.columns` and `df.values` along with Wave's `data` class
	# ---
	from h2o_wave import site, data, ui, main
	import pandas as pd
	import numpy as np

	# Page to hold our charts
	page = site['/demo']

mtanco / wave_use_uploaded_data.py

Last active February 26, 2021 04:15

wave_use_uploaded_data

	import os
	import time
	from h2o_wave import main, app, Q, ui, data
	import pandas as pd
	import numpy as np


	@app('/')
	async def serve(q: Q):
	print(q.args)

mtanco / wave_started_app.py

Created March 19, 2021 17:52

Starter code I have been using for most new apps

	from h2o_wave import main, app, Q, ui, handle_on, on, data
	from loguru import logger


	def on_startup():
	"""
	Runs when the app is started, even if there are no browsers connected
	:return:
	"""
	logger.info('http://localhost:10101/')

mtanco / testing_handlers_and_args.py

Created March 25, 2021 20:49

This is a simple app for understanding the behavior of `handle_on` and when `q.arg` dictionary is cleared.

	from h2o_wave import main, app, Q, ui, on, handle_on


	@app('/')
	async def serve(q: Q):
	if not q.client.initialized: # first time a tab comes this is app
	q.page['a'] = ui.form_card(
	box='4 3 4 2',
	items=[
	ui.textbox(name='color_textbox', placeholder='Purple'),

mtanco / exploring_stat_cards.py

Created March 26, 2021 17:27

This example script explores how to display stat cards nicely on a layout

	from h2o_wave import main, site, Q, ui


	def create_stat_card(name: str, n: int):
	page[name] = ui.tall_gauge_stat_card(
	box=ui.box(zone='body', width='200px', height='200px'),
	title='test '*n,
	value=str(n),
	aux_value=str(n*100),
	progress=n*0.1,

mtanco / permanate_cards.py

Last active April 27, 2021 18:21

The example application creates a new card from user text, all past cards stay on the page, and cards can be cleared with an additional button

	from datetime import datetime

	from h2o_wave import main, app, Q, ui, on, handle_on
	from loguru import logger


	def on_startup():
	logger.info('http://localhost:10101')

mtanco / wave_background_tests.py

Created May 5, 2021 16:41

This Gist extends the https://wave.h2o.ai/docs/examples/background/ example and shows that apps are still interactive while running background tasks.

	import time
	import random

	from h2o_wave import main, app, Q, ui


	def sleeper_agent(secs) -> str:
	time.sleep(secs) # Blocks!
	return f'Done waiting for {secs} seconds!'

mtanco / ScheduledInteractiveApp.py

Last active May 11, 2021 19:46

Use the AsyncIOScheduler to run a scheduled job for updating a dashboard while maintaining the ability to use all features of an interactive app

	import random

	from apscheduler.schedulers.asyncio import AsyncIOScheduler
	from h2o_wave import main, app, Q, ui, handle_on, on, data


	SCHEDULER = AsyncIOScheduler()


	@app('/')

mtanco / stock_ticker_wave.py

Created September 8, 2021 23:34

Wave for Python Stock Ticker Sample App

	from h2o_wave import main, app, ui, Q, on, handle_on, data

	from pandas_datareader import data as web
	import pandas as pd
	from datetime import datetime as dt


	@app("/")
	async def serve(q: Q):
	stock = q.args["my-dropdown"] or "COKE"

mtanco / mlops_predictions.py

Created September 24, 2021 17:10

An example of how to get predictions from a REST endpoint.

	import json

	import numpy as np
	import pandas as pd
	import requests

	"""
	Suggestions on how to use this in an H2O Wave app:
	1. Have a page with a textbox asking users for a URL of a REST endpoint
	2. Allow users to upload a CSV with new data

Michelle Tanco mtanco