rothnic’s gists

rothnic / mqttcomm.py

Created September 20, 2023 19:23

cassandra mqtt connection test

	import logging
	logger = logging.getLogger(__name__)

	import time
	import json
	import paho.mqtt.client as mqtt
	import pandas as pd
	import random

	from src.backend.data import datatodf, roverdata, mapdata

rothnic / default___settings.json

Last active October 31, 2018 04:18

Golem Docker-Compose Example - Selenium Grid - Headless Firefox and Chrome Device Configs

	{
	"remote_browsers": {
	"chrome_remote_desktop_headless": {
	"goog:chromeOptions": {
	"args": ["--headless", "--disable-gpu", "--window-size=1366,768"]
	},
	"platform": "ANY",
	"browserName": "chrome"
	},
	"chrome_remote_mobile_headless": {

rothnic / docker-compose.yml

Created April 7, 2017 11:14

Native Spark Cluster on Docker with Jupyter Notebook and PySpark

	master:
	image: jupyter/pyspark-notebook
	command: bash -c "/usr/local/spark/bin/spark-class org.apache.spark.deploy.master.Master -h master && \
	start-notebook.sh"
	hostname: master
	environment:
	MASTER: spark://master:7077
	SPARK_CONF_DIR: /conf
	SPARK_PUBLIC_DNS: localhost
	expose:

rothnic / dask_slow_bag_conda_env.txt

Last active February 9, 2017 17:47

Stacktrace when killing a slow read_text command on s3 files with dask.

	→ conda list
	# packages in environment at /Users/nroth/anaconda/envs/dask:
	#
	appnope 0.1.0 py36_0 defaults
	bokeh 0.12.4 py36_0 defaults
	boto3 1.4.3 py36_0 defaults
	botocore 1.4.90 py36_0 defaults
	chest 0.2.3 py36_0 defaults
	cloudpickle 0.2.2 py36_0 defaults
	cycler 0.10.0 py36_0 defaults

rothnic / Uncertainties.py

Created August 30, 2016 04:50

Modeling and Simulation Uncertainty Distribution

	__author__ = 'Nick'

	import os

	from openmdao.main.api import Component
	from openmdao.lib.datatypes.api import Float
	import pandas as pd

	from calc_uncertainties import Distribution
	from Common.AttributeTools.io import get_outputs

rothnic / dynamic_plot_example.py

Last active May 20, 2019 13:34

Example Bokeh app that swaps axis and range out dynamically

	from bokeh.models import GlyphRenderer, ColumnDataSource
	from bokeh.models.plots import Plot
	from bokeh.models import Circle, Range1d, LinearAxis, CategoricalAxis, Axis, FactorRange
	from bokeh.models.widgets import HBox, VBoxForm, Select

	from bokeh.io import curdoc

	data = {'a': [1, 2, 3, 4],
	'b': [3, 5, 4, 5],
	'c': ['foo', 'bar', 'foo', 'bar']}

rothnic / watch_examples.py

Created December 10, 2015 18:21

Refresh chart examples when chart source or chart example is modified

	from selenium import webdriver
	from selenium.webdriver.common.keys import Keys
	from time import sleep
	import os
	import subprocess
	from watchdog.observers import Observer
	from watchdog.events import PatternMatchingEventHandler


	CHARTS = {

rothnic / chart_app_new_server.py

Last active June 4, 2016 11:49

Example interactive app with bokeh charts and new server refactor

	from bokeh.models.widgets import HBox, VBoxForm, Select
	from bokeh.charts import Bar
	from bokeh.io import curdoc

	data = {'a': [1, 2, 3, 4],
	'b': [3, 5, 4, 5],
	'c': ['foo', 'bar', 'foo', 'bar']}

	col_names = list(data.keys())

rothnic / line_palette.py

Created November 4, 2015 19:07

bokeh line with custom palette

	from bokeh.charts import Line, show, output_file, color

	# build a dataset where multiple columns measure the same thing
	data = dict(python=[2, 3, 7, 5, 26, 221, 44, 233, 254, 265, 266, 267, 120, 111],
	pypy=[12, 33, 47, 15, 126, 121, 144, 233, 254, 225, 226, 267, 110, 130],
	jython=[22, 43, 10, 25, 26, 101, 114, 203, 194, 215, 201, 227, 139, 160],
	test=['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'bar',
	'foo', 'bar', 'foo', 'bar']
	)

rothnic / chart_app.py

Created October 23, 2015 15:10

Prototype Interactive Bokeh Chart

	from bokeh.models import Plot, ColumnDataSource, GlyphRenderer
	from bokeh.properties import Instance, Dict, String, Any
	from bokeh.server.app import bokeh_app
	from bokeh.server.utils.plugins import object_page
	from bokeh.models.widgets import HBox, TextInput, VBoxForm, Select
	from bokeh.charts import Bar


	class ChartApp(HBox):
	"""An example of a browser-based, interactive plot with column selection controls."""

Nick Roth rothnic