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