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from typing import List, Optional, Any | |
from numpy import ndarray, _OrderCF | |
from numpy.typing import ArrayLike, DTypeLike | |
__all__: List[str] | |
def fliplr(m): ... | |
def flipud(m): ... | |
def eye( | |
N: int, | |
M: Optional[int] = ..., | |
k: int = ..., | |
dtype: DTypeLike = ..., | |
order: _OrderCF = ..., | |
*, | |
like: Optional[ArrayLike] = ... | |
) -> ndarray[Any, Any]: ... | |
def diag(v, k=...): ... | |
def diagflat(v, k=...): ... | |
def tri(N, M=..., k=..., dtype = ..., *, like=...): ... | |
def tril(m, k=...): ... | |
def triu(m, k=...): ... | |
def vander(x, N=..., increasing=...): ... | |
def histogram2d(x, y, bins=..., range=..., normed=..., weights=..., density=...): ... | |
def mask_indices(n, mask_func, k=...): ... | |
def tril_indices(n, k=..., m=...): ... | |
def tril_indices_from(arr, k=...): ... | |
def triu_indices(n, k=..., m=...): ... | |
def triu_indices_from(arr, k=...): ... | |