"""
Fit with Data in a pandas DataFrame
===================================

Simple example demonstrating how to read in the data using ``pandas`` and
supply the elements of the ``DataFrame`` to lmfit.

"""
import pandas as pd

from lmfit.models import LorentzianModel

###############################################################################
# read the data into a pandas DataFrame, and use the ``x`` and ``y`` columns:
dframe = pd.read_csv('peak.csv')

model = LorentzianModel()
params = model.guess(dframe['y'], x=dframe['x'])

result = model.fit(dframe['y'], params, x=dframe['x'])

###############################################################################
# and gives the fitting results:
print(result.fit_report())

###############################################################################
# and plot below:
result.plot_fit()