def PlotObsPred( df, dataFile = None, E = None, Tp = None, block = True ):
'''Plot observations and predictions'''
# stats: {'MAE': 0., 'RMSE': 0., 'rho': 0. }
stats = pyBindEDM.ComputeError( df['Observations'],
df['Predictions' ] )
title = dataFile + "\nE=" + str(E) + " Tp=" + str(Tp) +\
" ρ=" + str( round( stats['rho'], 2 ) ) +\
" RMSE=" + str( round( stats['RMSE'], 2 ) )
time_col = df.columns[0]
df.plot( time_col, ['Observations', 'Predictions'],
title = title, linewidth = 3 )
show( block = block )
def PlotObsPred(df, dataFile=None, E=None, Tp=None, block=True):
'''Plot observations and predictions'''
# stats: {'MAE': 0., 'RMSE': 0., 'rho': 0. }
stats = pyBindEDM.ComputeError(df['Observations'].tolist(),
df['Predictions'].tolist())
title = dataFile + "\nE=" + str(E) + " Tp=" + str(Tp) +\
" ρ=" + str( round( stats['rho'], 2 ) ) +\
" RMSE=" + str( round( stats['RMSE'], 2 ) )
if "time" in df.columns:
time_col = "time"
elif "Time" in df.columns:
time_col = "Time"
else:
raise RuntimeError("PlotObsPred() Time column not found.")
df.plot(time_col, ['Observations', 'Predictions'],
title=title,
linewidth=3)
show(block=block)
def ComputeError( obs, pred ):
'''Pearson rho, RMSE, MAE.'''
D = pyBindEDM.ComputeError( obs, pred )
return D
