78 lines
2.3 KiB
Python
78 lines
2.3 KiB
Python
from typing import (
|
|
Hashable,
|
|
Literal,
|
|
)
|
|
|
|
import numpy as np
|
|
|
|
from pandas._typing import (
|
|
ArrayLike,
|
|
Dtype,
|
|
npt,
|
|
)
|
|
|
|
STR_NA_VALUES: set[str]
|
|
DEFAULT_BUFFER_HEURISTIC: int
|
|
|
|
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
|
|
na_values: dict
|
|
|
|
def _maybe_upcast(
|
|
arr, use_dtype_backend: bool = ..., dtype_backend: str = ...
|
|
) -> np.ndarray: ...
|