preprocessing

exception pydaddy.preprocessing.Error

Bases: Exception

Base class for exceptions in this module.

exception pydaddy.preprocessing.InputError(expression, message)

Exception raised for errors in the input.

Attributes:
expression – input expression in which the error occurred message – explanation of the error

class pydaddy.preprocessing.Preprocessing(**kwargs)

pass

_find_order(x): Get expected order by elemination least likely to be values from all possble values. Then decides the order by looking at the R2 values.

_optimium_timescale(X, M_square, t_int, Dt='auto', max_order=10, t_lag=1000, inc=0.01): Get timescale based on observed order of drift

_order(X, M_square, t_int, Dt='auto', dt=1, max_order=10, inc=0.01)

Find the order of drift and diffusion, and timescale based on drift order.

Notes

Time scale = autocorrelation time if drift order is 1, else its auto correaltion time.

_r2_vs_order(op1, op2, avgDrift, avgDiff, max_order): Get R2 for different order

_r2_vs_order_multi_dt(X, M_square, t_int, dt=1, max_order=10, inc=0.01): Get R2 vs order for different Dt

_remove_nan(x, y, sample_size=10)

Removes NaN’s by deleting the indices where both x and y have NaN’s

Parameters

Returns

x, y - with all nan’s removed

Return type

array

_remove_outliers(xs, y, quantile=0.01): Remove points corresponding to outliers in y. xs is a list of one or more arrays, indices corresponding to outliers in y will be removed from each array in xs as well.