API Design¶
Base Model¶
model = GaussianFitter(n_peaks=2)
df = pd.DataFrame({
'x' : [0, 1, 2],
'y' : [0, 10, 50],
'y2': [0, 5, 10]
})
model.fit(x=df.x, y=df.y)
model.score()
model.centers
model.widths
model.heights
model.plot()
Gaussian spectrum¶
# Import gaussian
from ambigauss import GaussianSpectrum
# Initialize a model.
m = GaussianSpectrum(n_peaks=3)
# Fit data.
m.fit(x, y)
# Plot data
m.plot()
# Print parameters
m.print_parameters()
Voigt spectrum¶
# Import gaussian
from ambigauss import VoigtSpectrum
# Initialize a model.
m = VoigtSpectrum(n_peaks=3)
# Fit data.
m.fit(x, y)
# Plot data
m.plot()
# Print parameters
m.print_parameters()