little_helpers

Some helpful functions that keep being used in various of my repositories, install via:

pip install little_helpers

array_tools.py

• y_at_y: Find values in y_values that belongs to the values in x_values clostest to x.
• closest_index: Find the index of a value in array x_values that is clostest to x.
• segment_xy_values: Segment the x_values and y_values according to segment borders.

math_functions.py

• langmuir_isotherm: Calculate the q_e values of a simple Langmuir isotherm.
• langmuir_isotherm_hydrogel: Calculate the adsotpion inside a hydrogel based on a Langmuir model taking the swelling into account.
• langmuir_comp: Calculate the q_e values of a Langmuir isotherm taking into account competetive adsorption of two species.
• triangle: Calculate a triangle function.
• gaussian: Calculate one or a superposition of Gaussian normal distributions.
• boxcar: Calculate a boxcar function.
• boxcar_convolution: Calculate the convolution of a boxcar function with another function.
• piecewise_polynomial: Calculate the y values of a piecewise polynomial.
• flory_rehner: Calculate 1/M_c according to the Flory-Rehner equation.
• Herschel_Bulkley: Calculate the stress according tot he Herschel-Bulkley model.
• cum_dist_normal: Cumulative distribution function for the normal distribution.
• cum_dist_normal_with_rise: Superposition of cum_dist_normal and a linear function through the origin.

num_derive.py

A simple method to calculate the derivative of discrete data.

statsmodel_wrapper.py

A universal sklearn-style wrapper for statsmodels regressors.