A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/pandas/_libs/arrays.pyi

34 lines
940 B

from typing import Sequence
import numpy as np
from pandas._typing import (
DtypeObj,
Shape,
)
class NDArrayBacked:
_dtype: DtypeObj
_ndarray: np.ndarray
def __init__(self, values: np.ndarray, dtype: DtypeObj): ...
@classmethod
def _simple_new(cls, values: np.ndarray, dtype: DtypeObj): ...
def _from_backing_data(self, values: np.ndarray): ...
def __setstate__(self, state): ...
def __len__(self) -> int: ...
@property
def shape(self) -> Shape: ...
@property
def ndim(self) -> int: ...
@property
def size(self) -> int: ...
@property
def nbytes(self) -> int: ...
def copy(self): ...
def delete(self, loc, axis=...): ...
def swapaxes(self, axis1, axis2): ...
def repeat(self, repeats: int | Sequence[int], axis: int | None = ...): ...
def reshape(self, *args, **kwargs): ...
def ravel(self, order=...): ...
@property
def T(self): ...