In [1]:
%matplotlib inline
import os
import shutil
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import pyemu
instaniate pyemu object and drop prior info. Then reorder the jacobian and save as binary. This is needed because the pest utilities require strict order between the control file and jacobian
In [2]:
mc = pyemu.MonteCarlo(jco="freyberg.jcb",verbose=False)
mc.drop_prior_information()
jco_ord = mc.jco.get(mc.pst.obs_names,mc.pst.par_names)
ord_base = "freyberg_ord"
jco_ord.to_binary(ord_base + ".jco")
mc.pst.control_data.parsaverun = ' '
mc.pst.write(ord_base+".pst")
Draw some vectors from the prior and write the vectors to par files
In [3]:
# setup the dirs to hold all this stuff
par_dir = "prior_par_draws"
proj_dir = "proj_par_draws"
parfile_base = os.path.join(par_dir,"draw_")
projparfile_base = os.path.join(proj_dir,"draw_")
if os.path.exists(par_dir):
shutil.rmtree(par_dir)
os.mkdir(par_dir)
if os.path.exists(proj_dir):
shutil.rmtree(proj_dir)
os.mkdir(proj_dir)
# make some draws
mc.draw(10)
#write them to files
mc.parensemble.to_parfiles(parfile_base)
Run pnulpar
In [4]:
exe = os.path.join("exe","pnulpar.exe")
args = [ord_base+".pst","y","5","y","pnulpar_qhalfx.mat",parfile_base,projparfile_base]
in_file = os.path.join("misc","pnulpar.in")
with open(in_file,'w') as f:
f.write('\n'.join(args)+'\n')
os.system(exe + ' <'+in_file)
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In [5]:
pnul_en = pyemu.ParameterEnsemble(mc.pst)
parfiles =[os.path.join(proj_dir,f) for f in os.listdir(proj_dir) if f.endswith(".par")]
pnul_en.read_parfiles(parfiles)
In [7]:
pnul_en.loc[:,"fname"] = pnul_en.index
pnul_en.index = pnul_en.fname.apply(lambda x:str(int(x.split('.')[0].split('_')[-1])))
f = pnul_en.pop("fname")
In [8]:
pnul_en.sort(axis=1)
pnul_en
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Now for pyemu
In [9]:
print(mc.parensemble.islog)
en = mc.project_parensemble(nsing=5,inplace=False)
print(mc.parensemble.islog)
In [12]:
en.sort(axis=1)
en
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In [13]:
pnul_en.sort(inplace=True)
en.sort(inplace=True)
diff = 100.0 * np.abs(pnul_en - en) / en
dmax = diff.max(axis=0)
dmax.sort(ascending=False,inplace=True)
dmax.plot()
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