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- from typing import (
- Hashable,
- Literal,
- )
- import numpy as np
- from pandas._typing import (
- ArrayLike,
- Dtype,
- npt,
- )
- STR_NA_VALUES: set[str]
- def sanitize_objects(
- values: npt.NDArray[np.object_],
- na_values: set,
- ) -> int: ...
- class TextReader:
- unnamed_cols: set[str]
- table_width: int # int64_t
- leading_cols: int # int64_t
- header: list[list[int]] # non-negative integers
- def __init__(
- self,
- source,
- delimiter: bytes | str = ..., # single-character only
- header=...,
- header_start: int = ..., # int64_t
- header_end: int = ..., # uint64_t
- index_col=...,
- names=...,
- tokenize_chunksize: int = ..., # int64_t
- delim_whitespace: bool = ...,
- converters=...,
- skipinitialspace: bool = ...,
- escapechar: bytes | str | None = ..., # single-character only
- doublequote: bool = ...,
- quotechar: str | bytes | None = ..., # at most 1 character
- quoting: int = ...,
- lineterminator: bytes | str | None = ..., # at most 1 character
- comment=...,
- decimal: bytes | str = ..., # single-character only
- thousands: bytes | str | None = ..., # single-character only
- dtype: Dtype | dict[Hashable, Dtype] = ...,
- usecols=...,
- error_bad_lines: bool = ...,
- warn_bad_lines: bool = ...,
- na_filter: bool = ...,
- na_values=...,
- na_fvalues=...,
- keep_default_na: bool = ...,
- true_values=...,
- false_values=...,
- allow_leading_cols: bool = ...,
- skiprows=...,
- skipfooter: int = ..., # int64_t
- verbose: bool = ...,
- float_precision: Literal["round_trip", "legacy", "high"] | None = ...,
- skip_blank_lines: bool = ...,
- encoding_errors: bytes | str = ...,
- ) -> None: ...
- def set_noconvert(self, i: int) -> None: ...
- def remove_noconvert(self, i: int) -> None: ...
- def close(self) -> None: ...
- def read(self, rows: int | None = ...) -> dict[int, ArrayLike]: ...
- def read_low_memory(self, rows: int | None) -> list[dict[int, ArrayLike]]: ...
- # _maybe_upcast, na_values are only exposed for testing
- def _maybe_upcast(
- arr, use_dtype_backend: bool = ..., dtype_backend: str = ...
- ) -> np.ndarray: ...
|
