| Server IP : 66.29.132.122 / Your IP : 18.119.163.69 Web Server : LiteSpeed System : Linux business142.web-hosting.com 4.18.0-553.lve.el8.x86_64 #1 SMP Mon May 27 15:27:34 UTC 2024 x86_64 User : admazpex ( 531) PHP Version : 7.2.34 Disable Function : NONE MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : OFF | Pkexec : OFF Directory : /proc/self/root/proc/self/root/proc/thread-self/root/proc/thread-self/root/proc/self/root/proc/thread-self/root/proc/self/root/proc/self/root/opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/lib/ |
Upload File : |
from collections.abc import Sequence
from typing import (
Literal as L,
Any,
SupportsIndex,
)
from numpy._typing import (
NDArray,
ArrayLike,
)
_BinKind = L[
"stone",
"auto",
"doane",
"fd",
"rice",
"scott",
"sqrt",
"sturges",
]
__all__: list[str]
def histogram_bin_edges(
a: ArrayLike,
bins: _BinKind | SupportsIndex | ArrayLike = ...,
range: None | tuple[float, float] = ...,
weights: None | ArrayLike = ...,
) -> NDArray[Any]: ...
def histogram(
a: ArrayLike,
bins: _BinKind | SupportsIndex | ArrayLike = ...,
range: None | tuple[float, float] = ...,
density: bool = ...,
weights: None | ArrayLike = ...,
) -> tuple[NDArray[Any], NDArray[Any]]: ...
def histogramdd(
sample: ArrayLike,
bins: SupportsIndex | ArrayLike = ...,
range: Sequence[tuple[float, float]] = ...,
density: None | bool = ...,
weights: None | ArrayLike = ...,
) -> tuple[NDArray[Any], list[NDArray[Any]]]: ...