mtanco

# 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

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

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

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

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

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

import random

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


SCHEDULER = AsyncIOScheduler()


@app('/')

mtanco

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

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

mtanco

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


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

    if not q.client.initialized: