streamlit_app.py

from collections import namedtuple
import altair as alt
import math
import pandas as pd
import streamlit as st
import requests

st.set_page_config(layout="wide") # Make wide the default :-)

"""
Little demo that is almost an URL builder app for the [ONC Oceans 3.0 API](https://wiki.oceannetworks.ca/display/O2A/Oceans+2.0+API+Home).


"""

try:
    query_params = st.experimental_get_query_params()
    #query_params
    token = query_params['token'][0]
except Exception as e:
    st.error('ONC API token required. Get yours at https://data.oceannetworks.ca/Profile')
    token = st.text_input('Enter your ONC API Token:', type="password")
    st.experimental_set_query_params(token=token)
    # e
 
@st.cache(ttl=3600)
def getDeviceCategories():
    url = 'https://data.oceannetworks.ca/api/deviceCategories'
    params = {
        'token': token,
        'method': 'get',
    }

    r = requests.get(url, params=params)
    return r
r_dc =  getDeviceCategories()
"Got device categories using: %s" % r_dc.url


device_categories = ['%s | %s' % (dc['deviceCategoryCode'], dc['deviceCategoryName']) for dc in r_dc.json()]
device_category = st.selectbox('Device Categories', device_categories)
'Selected device category: %s' % device_category

deviceCategoryCode = device_category.split(' | ')[0]

@st.cache(ttl=3600)
def getData(deviceCategoreyCode):
    url = 'https://data.oceannetworks.ca/api/locations'
    params = {
        'token': token,
        'method': 'get',
        'deviceCategoryCode': deviceCategoryCode,
        'locationCode': 'NEP',
        'includeChildren': 'true'
    }

    r = requests.get(url, params=params)
    return r

r = getData(deviceCategoryCode)    

r.url

#st.json(r.json())

sta = pd.DataFrame(r.json())[['locationCode', 'lon', 'lat', 'depth']]

@st.cache
def convert_df(df):
   return df.to_csv().encode('utf-8')


col1, col2 = st.columns(2)

with col1:
    sta
    csv = convert_df(sta)

    st.download_button(
       "Download table as CSV",
       csv,
       "%s_LocationTable.csv" % deviceCategoryCode,
       "text/csv",
       key='download-csv'
    )

with col2:
    st.map(sta)

"""
# Welcome to Streamlit!

Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:

If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
forums](https://discuss.streamlit.io).

In the meantime, below is an example of what you can do with just a few lines of code:
"""


with st.echo(code_location='below'):
    total_points = st.slider("Number of points in spiral", 1, 5000, 2000)
    num_turns = st.slider("Number of turns in spiral", 1, 100, 9)

    Point = namedtuple('Point', 'x y')
    data = []

    points_per_turn = total_points / num_turns

    for curr_point_num in range(total_points):
        curr_turn, i = divmod(curr_point_num, points_per_turn)
        angle = (curr_turn + 1) * 2 * math.pi * i / points_per_turn
        radius = curr_point_num / total_points
        x = radius * math.cos(angle)
        y = radius * math.sin(angle)
        data.append(Point(x, y))

    st.altair_chart(alt.Chart(pd.DataFrame(data), height=500, width=500)
        .mark_circle(color='#0068c9', opacity=0.5)
        .encode(x='x:Q', y='y:Q'))