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.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
InfoLeaseExtract/venv/Lib/site-packages/pandas/_libs/reshape.pyi

16 lines
419 B

import numpy as np
from pandas._typing import npt
def unstack(
values: np.ndarray, # reshape_t[:, :]
mask: np.ndarray, # const uint8_t[:]
stride: int,
length: int,
width: int,
new_values: np.ndarray, # reshape_t[:, :]
new_mask: np.ndarray, # uint8_t[:, :]
) -> None: ...
def explode(
values: npt.NDArray[np.object_],
) -> tuple[npt.NDArray[np.object_], npt.NDArray[np.int64]]: ...