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_arrow_string_mixins.py
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from __future__ import annotations
from functools import partial
from typing import (
TYPE_CHECKING,
Literal,
)
import numpy as np
from pandas.compat import (
pa_version_under10p1,
pa_version_under17p0,
)
from pandas.core.dtypes.missing import isna
if not pa_version_under10p1:
import pyarrow as pa
import pyarrow.compute as pc
if TYPE_CHECKING:
from collections.abc import Sized
from pandas._typing import (
Scalar,
Self,
)
class ArrowStringArrayMixin:
_pa_array: Sized
def __init__(self, *args, **kwargs) -> None:
raise NotImplementedError
def _convert_bool_result(self, result):
# Convert a bool-dtype result to the appropriate result type
raise NotImplementedError
def _convert_int_result(self, result):
# Convert an integer-dtype result to the appropriate result type
raise NotImplementedError
def _str_pad(
self,
width: int,
side: Literal["left", "right", "both"] = "left",
fillchar: str = " ",
) -> Self:
if side == "left":
pa_pad = pc.utf8_lpad
elif side == "right":
pa_pad = pc.utf8_rpad
elif side == "both":
if pa_version_under17p0:
# GH#59624 fall back to object dtype
from pandas import array
obj_arr = self.astype(object, copy=False) # type: ignore[attr-defined]
obj = array(obj_arr, dtype=object)
result = obj._str_pad(width, side, fillchar) # type: ignore[attr-defined]
return type(self)._from_sequence(result, dtype=self.dtype) # type: ignore[attr-defined]
else:
# GH#54792
# https://github.com/apache/arrow/issues/15053#issuecomment-2317032347
lean_left = (width % 2) == 0
pa_pad = partial(pc.utf8_center, lean_left_on_odd_padding=lean_left)
else:
raise ValueError(
f"Invalid side: {side}. Side must be one of 'left', 'right', 'both'"
)
return type(self)(pa_pad(self._pa_array, width=width, padding=fillchar))
def _str_get(self, i: int) -> Self:
lengths = pc.utf8_length(self._pa_array)
if i >= 0:
out_of_bounds = pc.greater_equal(i, lengths)
start = i
stop = i + 1
step = 1
else:
out_of_bounds = pc.greater(-i, lengths)
start = i
stop = i - 1
step = -1
not_out_of_bounds = pc.invert(out_of_bounds.fill_null(True))
selected = pc.utf8_slice_codeunits(
self._pa_array, start=start, stop=stop, step=step
)
null_value = pa.scalar(
None,
type=self._pa_array.type, # type: ignore[attr-defined]
)
result = pc.if_else(not_out_of_bounds, selected, null_value)
return type(self)(result)
def _str_slice_replace(
self, start: int | None = None, stop: int | None = None, repl: str | None = None
) -> Self:
if repl is None:
repl = ""
if start is None:
start = 0
if stop is None:
stop = np.iinfo(np.int64).max
return type(self)(pc.utf8_replace_slice(self._pa_array, start, stop, repl))
def _str_capitalize(self) -> Self:
return type(self)(pc.utf8_capitalize(self._pa_array))
def _str_title(self) -> Self:
return type(self)(pc.utf8_title(self._pa_array))
def _str_swapcase(self) -> Self:
return type(self)(pc.utf8_swapcase(self._pa_array))
def _str_removesuffix(self, suffix: str):
ends_with = pc.ends_with(self._pa_array, pattern=suffix)
removed = pc.utf8_slice_codeunits(self._pa_array, 0, stop=-len(suffix))
result = pc.if_else(ends_with, removed, self._pa_array)
return type(self)(result)
def _str_startswith(self, pat: str | tuple[str, ...], na: Scalar | None = None):
if isinstance(pat, str):
result = pc.starts_with(self._pa_array, pattern=pat)
else:
if len(pat) == 0:
# For empty tuple we return null for missing values and False
# for valid values.
result = pc.if_else(pc.is_null(self._pa_array), None, False)
else:
result = pc.starts_with(self._pa_array, pattern=pat[0])
for p in pat[1:]:
result = pc.or_(result, pc.starts_with(self._pa_array, pattern=p))
if not isna(na): # pyright: ignore [reportGeneralTypeIssues]
result = result.fill_null(na)
return self._convert_bool_result(result)
def _str_endswith(self, pat: str | tuple[str, ...], na: Scalar | None = None):
if isinstance(pat, str):
result = pc.ends_with(self._pa_array, pattern=pat)
else:
if len(pat) == 0:
# For empty tuple we return null for missing values and False
# for valid values.
result = pc.if_else(pc.is_null(self._pa_array), None, False)
else:
result = pc.ends_with(self._pa_array, pattern=pat[0])
for p in pat[1:]:
result = pc.or_(result, pc.ends_with(self._pa_array, pattern=p))
if not isna(na): # pyright: ignore [reportGeneralTypeIssues]
result = result.fill_null(na)
return self._convert_bool_result(result)
def _str_isalnum(self):
result = pc.utf8_is_alnum(self._pa_array)
return self._convert_bool_result(result)
def _str_isalpha(self):
result = pc.utf8_is_alpha(self._pa_array)
return self._convert_bool_result(result)
def _str_isdecimal(self):
result = pc.utf8_is_decimal(self._pa_array)
return self._convert_bool_result(result)
def _str_isdigit(self):
result = pc.utf8_is_digit(self._pa_array)
return self._convert_bool_result(result)
def _str_islower(self):
result = pc.utf8_is_lower(self._pa_array)
return self._convert_bool_result(result)
def _str_isnumeric(self):
result = pc.utf8_is_numeric(self._pa_array)
return self._convert_bool_result(result)
def _str_isspace(self):
result = pc.utf8_is_space(self._pa_array)
return self._convert_bool_result(result)
def _str_istitle(self):
result = pc.utf8_is_title(self._pa_array)
return self._convert_bool_result(result)
def _str_isupper(self):
result = pc.utf8_is_upper(self._pa_array)
return self._convert_bool_result(result)
def _str_contains(
self, pat, case: bool = True, flags: int = 0, na=None, regex: bool = True
):
if flags:
raise NotImplementedError(f"contains not implemented with {flags=}")
if regex:
pa_contains = pc.match_substring_regex
else:
pa_contains = pc.match_substring
result = pa_contains(self._pa_array, pat, ignore_case=not case)
if not isna(na): # pyright: ignore [reportGeneralTypeIssues]
result = result.fill_null(na)
return self._convert_bool_result(result)