extras.pyi
1 from typing import Any 2 from numpy.lib.index_tricks import AxisConcatenator 3 4 from numpy.ma.core import ( 5 dot as dot, 6 mask_rowcols as mask_rowcols, 7 ) 8 9 __all__: list[str] 10 11 def count_masked(arr, axis=...): ... 12 def masked_all(shape, dtype = ...): ... 13 def masked_all_like(arr): ... 14 15 class _fromnxfunction: 16 __name__: Any 17 __doc__: Any 18 def __init__(self, funcname): ... 19 def getdoc(self): ... 20 def __call__(self, *args, **params): ... 21 22 class _fromnxfunction_single(_fromnxfunction): 23 def __call__(self, x, *args, **params): ... 24 25 class _fromnxfunction_seq(_fromnxfunction): 26 def __call__(self, x, *args, **params): ... 27 28 class _fromnxfunction_allargs(_fromnxfunction): 29 def __call__(self, *args, **params): ... 30 31 atleast_1d: _fromnxfunction_allargs 32 atleast_2d: _fromnxfunction_allargs 33 atleast_3d: _fromnxfunction_allargs 34 35 vstack: _fromnxfunction_seq 36 row_stack: _fromnxfunction_seq 37 hstack: _fromnxfunction_seq 38 column_stack: _fromnxfunction_seq 39 dstack: _fromnxfunction_seq 40 stack: _fromnxfunction_seq 41 42 hsplit: _fromnxfunction_single 43 diagflat: _fromnxfunction_single 44 45 def apply_along_axis(func1d, axis, arr, *args, **kwargs): ... 46 def apply_over_axes(func, a, axes): ... 47 def average(a, axis=..., weights=..., returned=..., keepdims=...): ... 48 def median(a, axis=..., out=..., overwrite_input=..., keepdims=...): ... 49 def compress_nd(x, axis=...): ... 50 def compress_rowcols(x, axis=...): ... 51 def compress_rows(a): ... 52 def compress_cols(a): ... 53 def mask_rows(a, axis = ...): ... 54 def mask_cols(a, axis = ...): ... 55 def ediff1d(arr, to_end=..., to_begin=...): ... 56 def unique(ar1, return_index=..., return_inverse=...): ... 57 def intersect1d(ar1, ar2, assume_unique=...): ... 58 def setxor1d(ar1, ar2, assume_unique=...): ... 59 def in1d(ar1, ar2, assume_unique=..., invert=...): ... 60 def isin(element, test_elements, assume_unique=..., invert=...): ... 61 def union1d(ar1, ar2): ... 62 def setdiff1d(ar1, ar2, assume_unique=...): ... 63 def cov(x, y=..., rowvar=..., bias=..., allow_masked=..., ddof=...): ... 64 def corrcoef(x, y=..., rowvar=..., bias = ..., allow_masked=..., ddof = ...): ... 65 66 class MAxisConcatenator(AxisConcatenator): 67 concatenate: Any 68 @classmethod 69 def makemat(cls, arr): ... 70 def __getitem__(self, key): ... 71 72 class mr_class(MAxisConcatenator): 73 def __init__(self): ... 74 75 mr_: mr_class 76 77 def ndenumerate(a, compressed=...): ... 78 def flatnotmasked_edges(a): ... 79 def notmasked_edges(a, axis=...): ... 80 def flatnotmasked_contiguous(a): ... 81 def notmasked_contiguous(a, axis=...): ... 82 def clump_unmasked(a): ... 83 def clump_masked(a): ... 84 def vander(x, n=...): ... 85 def polyfit(x, y, deg, rcond=..., full=..., w=..., cov=...): ...