drheinheimer

var simplifyPath = function( points, tolerance ) {

	// helper classes 
	var Vector = function( x, y ) {
		this.x = x;
		this.y = y;
		
	};
	var Line = function( p1, p2 ) {
		this.p1 = p1;

drheinheimer

import os
import win32com.client as client  # get win32com from Python package pywin32

# See WEAP API at https://www.weap21.org/WebHelp/WEAPApplication.htm
WEAP = client.Dispatch('WEAP.WEAPApplication')  # create WEAP object

# Open the area
WEAP.Areas("my area").Open()

# Set the expression

drheinheimer

import requests
import json


class Hydra(object):
    """
    Example:

    # Set up the class
    hydra = Hydra('https://www.openagua.org/hydra', api_key=os.environ['OPENAGUA_SECRET_KEY'])

drheinheimer

def simplify_network(m, delete_gauges=False):
    # simplify the network
    mission_complete = False
    obsolete_gauges = []
    while not mission_complete:
        mission_complete = True
        up_nodes = []
        down_nodes = []
        up_edges = {}
        down_edges = {}

drheinheimer

from graphviz import Digraph
import json

with open('./pywr_model.json') as f:
    model = json.load(f)
    
dot = Digraph(comment='System')
dot.edges(model['edges'])
dot.render('system.gv', view=True)

drheinheimer

import os
from itertools import product
import win32com.client as client  # get win32com from Python package pywin32

# See WEAP API at https://www.weap21.org/WebHelp/WEAPApplication.htm

WEAP = client.Dispatch('WEAP.WEAPApplication')  # create WEAP object
WEAP.Areas("Shire_ZAMCOM_v27_AB_ROR").Open()  # open the model

realizations = [1,2,3]

drheinheimer

import win32com.client as client
weap = client.Dispatch('WEAP.WEAPApplication')
print weap.ActiveArea.Name

drheinheimer

# script to run the HHLSM model
import os, os.path
import win32com.client

# install win32com with "pip install pywin32"

HHLSM = "HHSM_2008_v3.1_PEIR_BD_VULNERABILITY.xlsm"
MACRO = "{}!HHSM_2008_v2.HHSM_2008_v2".format(HHLSM)

scenarios = [1,2,3]

drheinheimer

import os
from pypxlib import Table
def db(dir, name):
    filelist = os.listdir(dir)
    dbname = '{}.db'.format(name)
    dbname = dbname if dbname in filelist else dbname.replace('.db', '.DB')
    if dbname not in filelist:
        return
    mbname = dbname.replace('.db', '.MB').replace('.DB', '.MB')
    if mbname not in filelist:

drheinheimer

import pandas as pd
from math import ceil
for region in ['CherryEleanor', 'DonPedro', 'Hetchy']:
    
    # define input and output paths
    inpath = 'baserun/{}/statvar.csv'.format(region)
    outpath = 'baserun/{}/10day.csv'.format(region)
    
    # read in the original csv
    df = pd.read_csv(inpath, index_col=0, parse_dates=True)