jrhone

import streamlit as st
import streamlit.ReportThread as ReportThread
from streamlit.server.Server import Server
import time
import functools
import random
import string


# Copied from tvst's great gist:

jrhone

import streamlit as st
import altair as alt
import pandas as pd
import erddapy
from vega_datasets import data

# Connect to ERDDAP
st.title('SWOT Prawler Data')
e = erddapy.ERDDAP('http://heron.pmel.noaa.gov:8080/erddap', protocol='tabledap')
e.dataset_id = 'TELON001_PRAWC_N001' # Data Set to Use

jrhone

# -*- coding: utf-8 -*-
# Copyright 2018-2019 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software

jrhone

import streamlit as st
import pandas as pd
import numpy as np

# Step 1: CREATE A MAP DATAFRAME WITH red green AND blue COLUMNS

sf_lat, sf_lon = [37.76, -122.4]
radius = 50
df = pd.DataFrame(
    np.random.randn(1000, 2) / [radius, radius] + [sf_lat, sf_lon],

jrhone

from typing import Tuple

import pandas as pd
import plotly.express as px
import streamlit as st
import pathlib


DATA_LOCAL = pathlib.Path(__file__).parent / "country_indicators.csv"

jrhone

from typing import Tuple

import pandas as pd
import plotly.express as px
import streamlit as st
import pathlib


DATA_LOCAL = pathlib.Path(__file__).parent / "country_indicators.csv"

jrhone

var source = mongodb({
  "uri": "mongodb://user:pass@db:27017/mongo_app_develop?authSource=admin",
  "ssl": true,
  "bulk": false,
})

var sink = elasticsearch({
  "uri": "http://ip:9200/mongo_app_develop"
})

jrhone

{
 "message": "ok",
 "result": {
  "count": 2,
  "products": [
   {
    "categoryNamePath": "Additional",
    "categoryId": 99999,
    "mpid": "1c444b4138d6df9be39cdb7c0f77bade",
    "categoryName": "Additional",

jrhone

------------
CLIENT
------------

Calories = new Meteor.Collection("calories")

Deps.autorun( ->
  try
    Meteor.subscribe('count_by_day', Meteor.user().services.facebook.email)
  catch err