np

wield.control.fitting.SISO.utilities.np

Functions

argsort(array)

Highly efficient argsort for pure python, this is also good for arrays where you only want the sort in the first dimesion

broadcast_arrays_none(*args)

common_type(nd_array)

continuous_phase(data[, op_idx, sep, deg, ...])

domain_sort(X, *Y)

first_non_NaN(arr)

generate_antisections(idx_start, idx_end, ...)

generate_sections(barray[, reconnect_length])

group_delay(F, data[, mult])

interval_limit(X_min, X_max, X, *Y)

loglinspaced(lower, upper, n_points[, frac])

Not very smart about preserving the number of points with a discontiguous interval set

logspaced(lower, upper, n_points)

Not very smart about preserving the number of points with a discontiguous interval set

mag_phase_signed(v[, deg])

masked_argsort(m_array)

Runs argsort on a masked array and only returns the argsort of the unmasked items

search_local_sorted(arr_x, arr_y, ...)

search_local_sorted_orig(arr_x, arr_y, ...)

select_through_none(select, *args)

type_reduce(type_A, obj_B)

Details

argsort(array)[source][github]

Highly efficient argsort for pure python, this is also good for arrays where you only want the sort in the first dimesion

broadcast_arrays_none(*args)[source][github]
common_type(nd_array)[source][github]
continuous_phase(data, op_idx=0, sep=3.173008580125691, deg=False, shiftmod=2)[source][github]
domain_sort(X, *Y)[source][github]
first_non_NaN(arr)[source][github]
generate_antisections(idx_start, idx_end, sections)[source][github]
generate_sections(barray, reconnect_length=None)[source][github]
group_delay(F, data, mult=300000000.0)[source][github]
interval_limit(X_min, X_max, X, *Y)[source][github]
loglinspaced(lower, upper, n_points, frac=0.75)[source][github]

Not very smart about preserving the number of points with a discontiguous interval set

logspaced(lower, upper, n_points)[source][github]

Not very smart about preserving the number of points with a discontiguous interval set

mag_phase_signed(v, deg=True)[source][github]
masked_argsort(m_array)[source][github]

Runs argsort on a masked array and only returns the argsort of the unmasked items

search_local_sorted(arr_x, arr_y, val_x_start, val_y)[source][github]
search_local_sorted_orig(arr_x, arr_y, val_x_start, val_y)[source][github]
select_through_none(select, *args)[source][github]
type_reduce(type_A, obj_B)[source][github]