bnordgren

## ProFX.conf.disabled
context.modules = [
{   name = libpipewire-module-loopback
    args = {
        node.description = "ProFX Channels 3-4"
        #target.delay.sec = 1.5
        capture.props = {
            node.name = "ProFX_3_4"
            media.class = "Audio/Sink"
            audio.channels = 2
            audio.position = [ FL FR ]

## BoxUploader.py
import datetime
import requests
import urllib
import os.path
import sys
import json

#
# Given a "File Request URL" and a local file, this program uploads to a box folder.
#

## lc_trends.py
import glob
import pandas as pd
import zonal_stats as z


def trends(shpfile, years, rasterpattern, histobins=10, historange=None) :

    rasterfiles = [ glob.glob(rasterpattern.format(y))[0] for y in years ]

## snow_notebook.ipynb

      
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                bnordgren
                / snow_notebook.ipynb
            
            
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              November 12, 2015 19:46
            
              
                EASE Grid 2.0 via Python, pyproj, and gdal_translate
              
          
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## qty_index.py
from abc import ABCMeta, abstractmethod
import numpy as np
import astropy.units as u
import astropy.coordinates as c

class SamplingFunction (object) :
    __metaclass__ = ABCMeta

    @abstractmethod
    def get_index(self, unit_val) :

## analysis_Asia_missoula
{
 "metadata": {
  "name": "analyze_chao_config"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
	context.modules = [
	{ name = libpipewire-module-loopback
	args = {
	node.description = "ProFX Channels 3-4"
	#target.delay.sec = 1.5
	capture.props = {
	node.name = "ProFX_3_4"
	media.class = "Audio/Sink"
	audio.channels = 2
	audio.position = [ FL FR ]
	import datetime
	import requests
	import urllib
	import os.path
	import sys
	import json

	#
	# Given a "File Request URL" and a local file, this program uploads to a box folder.
	#
	import glob
	import pandas as pd
	import zonal_stats as z



	def trends(shpfile, years, rasterpattern, histobins=10, historange=None) :

	rasterfiles = [ glob.glob(rasterpattern.format(y))[0] for y in years ]
	from abc import ABCMeta, abstractmethod
	import numpy as np
	import astropy.units as u
	import astropy.coordinates as c

	class SamplingFunction (object) :
	__metaclass__ = ABCMeta

	@abstractmethod
	def get_index(self, unit_val) :
	{
	"metadata": {
	"name": "analyze_chao_config"
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	"cells": [
	{