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Initial configuration commit

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Alex Selimov 2023-10-24 22:54:55 -04:00
commit 31c8abea59
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typings/matplotlib/mlab.pyi Normal file
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"""
This type stub file was generated by pyright.
"""
import numpy as np
from collections.abc import Callable
from typing import Literal
from numpy.typing import ArrayLike
def window_hanning(x: ArrayLike) -> ArrayLike:
...
def window_none(x: ArrayLike) -> ArrayLike:
...
def detrend(x: ArrayLike, key: Literal["default", "constant", "mean", "linear", "none"] | Callable[[ArrayLike, int | None], ArrayLike] | None = ..., axis: int | None = ...) -> ArrayLike:
...
def detrend_mean(x: ArrayLike, axis: int | None = ...) -> ArrayLike:
...
def detrend_none(x: ArrayLike, axis: int | None = ...) -> ArrayLike:
...
def detrend_linear(y: ArrayLike) -> ArrayLike:
...
def psd(x: ArrayLike, NFFT: int | None = ..., Fs: float | None = ..., detrend: Literal["none", "mean", "linear"] | Callable[[ArrayLike, int | None], ArrayLike] | None = ..., window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ..., noverlap: int | None = ..., pad_to: int | None = ..., sides: Literal["default", "onesided", "twosided"] | None = ..., scale_by_freq: bool | None = ...) -> tuple[ArrayLike, ArrayLike]:
...
def csd(x: ArrayLike, y: ArrayLike | None, NFFT: int | None = ..., Fs: float | None = ..., detrend: Literal["none", "mean", "linear"] | Callable[[ArrayLike, int | None], ArrayLike] | None = ..., window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ..., noverlap: int | None = ..., pad_to: int | None = ..., sides: Literal["default", "onesided", "twosided"] | None = ..., scale_by_freq: bool | None = ...) -> tuple[ArrayLike, ArrayLike]:
...
complex_spectrum = ...
magnitude_spectrum = ...
angle_spectrum = ...
phase_spectrum = ...
def specgram(x: ArrayLike, NFFT: int | None = ..., Fs: float | None = ..., detrend: Literal["none", "mean", "linear"] | Callable[[ArrayLike, int | None], ArrayLike] | None = ..., window: Callable[[ArrayLike], ArrayLike] | ArrayLike | None = ..., noverlap: int | None = ..., pad_to: int | None = ..., sides: Literal["default", "onesided", "twosided"] | None = ..., scale_by_freq: bool | None = ..., mode: Literal["psd", "complex", "magnitude", "angle", "phase"] | None = ...) -> tuple[ArrayLike, ArrayLike, ArrayLike]:
...
def cohere(x: ArrayLike, y: ArrayLike, NFFT: int = ..., Fs: float = ..., detrend: Literal["none", "mean", "linear"] | Callable[[ArrayLike, int | None], ArrayLike] = ..., window: Callable[[ArrayLike], ArrayLike] | ArrayLike = ..., noverlap: int = ..., pad_to: int | None = ..., sides: Literal["default", "onesided", "twosided"] = ..., scale_by_freq: bool | None = ...) -> tuple[ArrayLike, ArrayLike]:
...
class GaussianKDE:
dataset: ArrayLike
dim: int
num_dp: int
factor: float
data_covariance: ArrayLike
data_inv_cov: ArrayLike
covariance: ArrayLike
inv_cov: ArrayLike
norm_factor: float
def __init__(self, dataset: ArrayLike, bw_method: Literal["scott", "silverman"] | float | Callable[[GaussianKDE], float] | None = ...) -> None:
...
def scotts_factor(self) -> float:
...
def silverman_factor(self) -> float:
...
def covariance_factor(self) -> float:
...
def evaluate(self, points: ArrayLike) -> np.ndarray:
...
def __call__(self, points: ArrayLike) -> np.ndarray:
...