def from_dataframe_test():
import os
import numpy as np
import pandas as pd
from pyemu import MonteCarlo,Ensemble,ParameterEnsemble,Pst
jco = os.path.join("pst","pest.jcb")
pst = jco.replace(".jcb",".pst")
mc = MonteCarlo(jco=jco,pst=pst)
names = ["par_{0}".format(_) for _ in range(10)]
df = pd.DataFrame(np.random.random((10,mc.pst.npar)),columns=mc.pst.par_names)
mc.parensemble = ParameterEnsemble.from_dataframe(df=df,pst=mc.pst)
print(mc.parensemble.shape)
mc.project_parensemble()
mc.parensemble.to_csv(os.path.join("temp","test.csv"))
def from_dataframe_test():
import os
import numpy as np
import pandas as pd
from pyemu import MonteCarlo,Ensemble,ParameterEnsemble,Pst
jco = os.path.join("pst","pest.jcb")
pst = jco.replace(".jcb",".pst")
mc = MonteCarlo(jco=jco,pst=pst)
names = ["par_{0}".format(_) for _ in range(10)]
df = pd.DataFrame(np.random.random((10,mc.pst.npar)),columns=mc.pst.par_names)
mc.parensemble = ParameterEnsemble.from_dataframe(df=df,pst=mc.pst)
print(mc.parensemble.shape)
mc.project_parensemble()
mc.parensemble.to_csv(os.path.join("temp","test.csv"))
def from_dataframe_test():
import os
import numpy as np
import pandas as pd
from pyemu import MonteCarlo,Ensemble,ParameterEnsemble,Pst, Cov
jco = os.path.join("pst","pest.jcb")
pst = jco.replace(".jcb",".pst")
mc = MonteCarlo(jco=jco,pst=pst)
names = ["par_{0}".format(_) for _ in range(10)]
df = pd.DataFrame(np.random.random((10,mc.pst.npar)),columns=mc.pst.par_names)
mc.parensemble = ParameterEnsemble.from_dataframe(df=df,pst=mc.pst)
print(mc.parensemble.shape)
mc.project_parensemble()
mc.parensemble.to_csv(os.path.join("temp","test.csv"))
pstc = Pst(pst)
par = pstc.parameter_data
par.sort_values(by="parnme",ascending=False,inplace=True)
cov = Cov.from_parameter_data(pstc)
pe = ParameterEnsemble.from_gaussian_draw(pst=mc.pst,cov=cov)
