Upadate class HBV96 :

	- Static dictionaries as parameter setup
	- **argument (argument pass by reference and assigned by hash table)
	- routines.py as Module, serving as core to compute discharge

// 14/07/17 Niko

HBV_class.py

@@ -2,8 +2,6 @@
 # -*- coding: utf-8 -*-
 # HBV-96 model class
 
-from pandas import Series, DataFrame
-import pandas as pd
 
 class HBV96(object):
  """docstring for HBV96"""
@@ -75,32 +73,28 @@ class HBV96(object):
  1.4] #sfcf
 
  # Initial status
- DEF_ST = Series([0.0, #sp: Snow pack
- 30.0, #sm: Soil moisture
- 30.0, #uz: Upper zone direct runoff
- 30.0, #lz: Lower zone direct runoff
- 0.0], #wc: Water content
- index = ['sp',
- 'sm',
- 'uz',
- 'lz',
- 'wc'])
-
+ DEF_ST = { 'sp': 0.0, #sp: Snow pack
+ 'sm': 30.0, #sm: Soil moisture
+ 'uz': 30.0, #uz: Upper zone direct runoff
+ 'lz': 30.0, #lz: Lower zone direct runoff
+ 'wc': 0.0 #wc: Water content
+ } 
+
  # Boundary conditions DataFrame
- BOUND = DataFrame({"P_LB": P_LB, "P_UB": P_UB}, 
- index = _ind[:18])
+ BOUND = {"low": dict(zip(_ind[:18], P_LB)),
+  "up": dict(zip(_ind[:18], P_UB))}
 
  # Initial flow rate 
  DEF_q0 = 10.0
 
  # HBV96 model initializer, only parameter enough?
  def __init__(self):
- self._par = Series(len(self._ind)*[0.0], index = self._ind)
+ self._par = dict(zip(self._ind, len(self._ind)*[0.0]))
 
- # Render parameter fuction
+ # Render parameter function
  def render_par(self, obj_name, par_name):
  return eval('self.'+obj_name+'[par_name]')
 
- # Set parameter function
+ # Set parameter function, external accessibility for Django
  def set_par(self, obj_name, par_name, value):
  exec('self.'+obj_name+'[par_name] = value')