CalibrationCurve 0.0.5

A collection of functions that streamline the process of creating calibration curves using Python.

CalibrationCurve

This file will become your README and also the index of your documentation.

Install

pip install CalibrationCurve

How to use

def generate_test_data(slope, intercept):
        x = np.linspace(1, 10, num=5)
        y = intercept + x * slope
        df = pd.DataFrame({'concentration': x, "abs": y})
        return df

def generate_sample_data():
    x = np.array(['unknown1', 'unknown2'])
    y = np.array([13.75, 20.50])
    df = pd.DataFrame({'sample': x, "abs": y})
    df = df.set_index('sample')
    return df


test_data = generate_test_data(3, 4)
sample_data = generate_sample_data()

CalibrationCurve = cc.CalibrationModel(test_data, sample_data, 1)