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How to use _str method in avocado
Best Python code snippet using avocado_python
generic.pyi
Source:generic.pyi 
1from typing import (2 Any,3 Callable,4 ClassVar,5 Hashable,6 Literal,7 Mapping,8 Sequence,9 overload,10)11import numpy as np12from pandas.core.base import PandasObject13from pandas.core.indexes.base import Index14import pandas.core.indexing as indexing15from pandas._typing import (16 S1,17 ArrayLike,18 Axis,19 Dtype,20 FilePathOrBuffer,21 FrameOrSeries,22 FrameOrSeriesUnion,23 IgnoreRaise,24 Level,25 Scalar,26 SeriesAxisType,27 T,28)29_bool = bool30_str = str31class NDFrame(PandasObject, indexing.IndexingMixin):32 __hash__: ClassVar[None] # type: ignore[assignment]33 def set_flags(34 self: FrameOrSeries,35 *,36 copy: bool = ...,37 allows_duplicate_labels: bool | None = ...,38 ) -> FrameOrSeries: ...39 @property40 def attrs(self) -> dict[Hashable | None, Any]: ...41 @attrs.setter42 def attrs(self, value: Mapping[Hashable | None, Any]) -> None: ...43 @property44 def shape(self) -> tuple[int, ...]: ...45 @property46 def axes(self) -> list[Index]: ...47 @property48 def ndim(self) -> int: ...49 @property50 def size(self) -> int: ...51 def swapaxes(52 self, axis1: SeriesAxisType, axis2: SeriesAxisType, copy: _bool = ...53 ) -> NDFrame: ...54 def droplevel(self, level: Level, axis: SeriesAxisType = ...) -> NDFrame: ...55 def pop(self, item: _str) -> NDFrame: ...56 def squeeze(self, axis=...): ...57 def swaplevel(self, i=..., j=..., axis=...) -> NDFrame: ...58 def equals(self, other: Series[S1]) -> _bool: ...59 def __neg__(self) -> None: ...60 def __pos__(self) -> None: ...61 def __nonzero__(self) -> None: ...62 def bool(self) -> _bool: ...63 def __abs__(self) -> NDFrame: ...64 def __round__(self, decimals: int = ...) -> NDFrame: ...65 def keys(self): ...66 def iteritems(self): ...67 def __len__(self) -> int: ...68 def __contains__(self, key) -> _bool: ...69 @property70 def empty(self) -> _bool: ...71 __array_priority__: int = ...72 def __array__(self, dtype=...) -> np.ndarray: ...73 def __array_wrap__(self, result, context=...): ...74 def to_excel(75 self,76 excel_writer,77 sheet_name: _str = ...,78 na_rep: _str = ...,79 float_format: _str | None = ...,80 columns: _str | Sequence[_str] | None = ...,81 header: _bool = ...,82 index: _bool = ...,83 index_label: _str | Sequence[_str] | None = ...,84 startrow: int = ...,85 startcol: int = ...,86 engine: _str | None = ...,87 merge_cells: _bool = ...,88 encoding: _str | None = ...,89 inf_rep: _str = ...,90 verbose: _bool = ...,91 freeze_panes: tuple[int, int] | None = ...,92 ) -> None: ...93 @overload94 def to_json(95 self,96 path_or_buf: FilePathOrBuffer | None,97 orient: _str98 | Literal["split", "records", "index", "columns", "values", "table"]99 | None = ...,100 date_format: _str | Literal["epoch", "iso"] | None = ...,101 double_precision: int = ...,102 force_ascii: _bool = ...,103 date_unit: _str | Literal["s", "ms", "us", "ns"] = ...,104 default_handler: Callable[[Any], _str | float | _bool | list | dict]105 | None = ...,106 lines: _bool = ...,107 compression: _str | Literal["infer", "gzip", "bz2", "zip", "xz"] = ...,108 index: _bool = ...,109 indent: int | None = ...,110 ) -> None: ...111 @overload112 def to_json(113 self,114 orient: _str115 | Literal["split", "records", "index", "columns", "values", "table"]116 | None = ...,117 date_format: _str | Literal["epoch", "iso"] | None = ...,118 double_precision: int = ...,119 force_ascii: _bool = ...,120 date_unit: _str | Literal["s", "ms", "us", "ns"] = ...,121 default_handler: Callable[[Any], _str | float | _bool | list | dict]122 | None = ...,123 lines: _bool = ...,124 compression: _str | Literal["infer", "gzip", "bz2", "zip", "xz"] | None = ...,125 index: _bool = ...,126 indent: int | None = ...,127 ) -> _str: ...128 def to_hdf(129 self,130 path_or_buf: FilePathOrBuffer,131 key: _str,132 mode: _str = ...,133 complevel: int | None = ...,134 complib: _str | None = ...,135 append: _bool = ...,136 format: _str | None = ...,137 index: _bool = ...,138 min_itemsize: int | dict[_str, int] | None = ...,139 nan_rep=...,140 dropna: _bool | None = ...,141 data_columns: list[_str] | None = ...,142 errors: _str = ...,143 encoding: _str = ...,144 ) -> None: ...145 def to_sql(146 self,147 name: _str,148 con,149 schema: _str | None = ...,150 if_exists: _str = ...,151 index: _bool = ...,152 index_label: _str | Sequence[_str] | None = ...,153 chunksize: int | None = ...,154 dtype: dict | Scalar | None = ...,155 method: _str | Callable | None = ...,156 ) -> None: ...157 def to_pickle(158 self,159 path: _str,160 compression: _str | Literal["infer", "gzip", "bz2", "zip", "xz"] = ...,161 protocol: int = ...,162 ) -> None: ...163 def to_clipboard(164 self, excel: _bool = ..., sep: _str | None = ..., **kwargs165 ) -> None: ...166 def to_xarray(self): ...167 @overload168 def to_latex(169 self,170 buf: FilePathOrBuffer | None,171 columns: list[_str] | None = ...,172 col_space: int | None = ...,173 header: _bool = ...,174 index: _bool = ...,175 na_rep: _str = ...,176 formatters=...,177 float_format=...,178 sparsify: _bool | None = ...,179 index_names: _bool = ...,180 bold_rows: _bool = ...,181 column_format: _str | None = ...,182 longtable: _bool | None = ...,183 escape: _bool | None = ...,184 encoding: _str | None = ...,185 decimal: _str = ...,186 multicolumn: _bool | None = ...,187 multicolumn_format: _str | None = ...,188 multirow: _bool | None = ...,189 caption: _str | tuple[_str, _str] | None = ...,190 label: _str | None = ...,191 position: _str | None = ...,192 ) -> None: ...193 @overload194 def to_latex(195 self,196 columns: list[_str] | None = ...,197 col_space: int | None = ...,198 header: _bool = ...,199 index: _bool = ...,200 na_rep: _str = ...,201 formatters=...,202 float_format=...,203 sparsify: _bool | None = ...,204 index_names: _bool = ...,205 bold_rows: _bool = ...,206 column_format: _str | None = ...,207 longtable: _bool | None = ...,208 escape: _bool | None = ...,209 encoding: _str | None = ...,210 decimal: _str = ...,211 multicolumn: _bool | None = ...,212 multicolumn_format: _str | None = ...,213 multirow: _bool | None = ...,214 caption: _str | tuple[_str, _str] | None = ...,215 label: _str | None = ...,216 position: _str | None = ...,217 ) -> _str: ...218 @overload219 def to_csv(220 self,221 path_or_buf: FilePathOrBuffer | None,222 sep: _str = ...,223 na_rep: _str = ...,224 float_format: _str | None = ...,225 columns: Sequence[Hashable] | None = ...,226 header: _bool | list[_str] = ...,227 index: _bool = ...,228 index_label: _bool | _str | Sequence[Hashable] | None = ...,229 mode: _str = ...,230 encoding: _str | None = ...,231 compression: _str | Mapping[_str, _str] = ...,232 quoting: int | None = ...,233 quotechar: _str = ...,234 line_terminator: _str | None = ...,235 chunksize: int | None = ...,236 date_format: _str | None = ...,237 doublequote: _bool = ...,238 escapechar: _str | None = ...,239 decimal: _str = ...,240 errors: _str = ...,241 storage_options: dict[_str, Any] | None = ...,242 ) -> None: ...243 @overload244 def to_csv(245 self,246 sep: _str = ...,247 na_rep: _str = ...,248 float_format: _str | None = ...,249 columns: Sequence[Hashable] | None = ...,250 header: _bool | list[_str] = ...,251 index: _bool = ...,252 index_label: _bool | _str | Sequence[Hashable] | None = ...,253 mode: _str = ...,254 encoding: _str | None = ...,255 compression: _str | Mapping[_str, _str] = ...,256 quoting: int | None = ...,257 quotechar: _str = ...,258 line_terminator: _str | None = ...,259 chunksize: int | None = ...,260 date_format: _str | None = ...,261 doublequote: _bool = ...,262 escapechar: _str | None = ...,263 decimal: _str = ...,264 errors: _str = ...,265 storage_options: dict[_str, Any] | None = ...,266 ) -> _str: ...267 def take(268 self, indices, axis=..., is_copy: _bool | None = ..., **kwargs269 ) -> NDFrame: ...270 def xs(271 self,272 key: _str | tuple[_str],273 axis: SeriesAxisType = ...,274 level: Level | None = ...,275 drop_level: _bool = ...,276 ) -> FrameOrSeriesUnion: ...277 def __delitem__(self, idx: Hashable): ...278 def get(self, key: object, default: Dtype | None = ...) -> Dtype: ...279 def reindex_like(280 self,281 other,282 method: _str | None = ...,283 copy: _bool = ...,284 limit=...,285 tolerance=...,286 ) -> NDFrame: ...287 @overload288 def drop(289 self,290 labels: Hashable | Sequence[Hashable] = ...,291 *,292 axis: Axis = ...,293 index: Hashable | Sequence[Hashable] = ...,294 columns: Hashable | Sequence[Hashable] = ...,295 level: Level | None = ...,296 inplace: Literal[True],297 errors: IgnoreRaise = ...,298 ) -> None: ...299 @overload300 def drop(301 self: NDFrame,302 labels: Hashable | Sequence[Hashable] = ...,303 *,304 axis: Axis = ...,305 index: Hashable | Sequence[Hashable] = ...,306 columns: Hashable | Sequence[Hashable] = ...,307 level: Level | None = ...,308 inplace: Literal[False] = ...,309 errors: IgnoreRaise = ...,310 ) -> NDFrame: ...311 @overload312 def drop(313 self: NDFrame,314 labels: Hashable | Sequence[Hashable] = ...,315 *,316 axis: Axis = ...,317 index: Hashable | Sequence[Hashable] = ...,318 columns: Hashable | Sequence[Hashable] = ...,319 level: Level | None = ...,320 inplace: _bool = ...,321 errors: IgnoreRaise = ...,322 ) -> NDFrame | None: ...323 def add_prefix(self, prefix: _str) -> NDFrame: ...324 def add_suffix(self, suffix: _str) -> NDFrame: ...325 def sort_index(326 self,327 axis=...,328 level=...,329 ascending: _bool = ...,330 inplace: _bool = ...,331 kind: _str = ...,332 na_position: _str = ...,333 sort_remaining: _bool = ...,334 ignore_index: _bool = ...,335 ): ...336 def filter(337 self,338 items=...,339 like: _str | None = ...,340 regex: _str | None = ...,341 axis=...,342 ) -> NDFrame: ...343 def head(self: FrameOrSeries, n: int = ...) -> FrameOrSeries: ...344 def tail(self: FrameOrSeries, n: int = ...) -> FrameOrSeries: ...345 def pipe(346 self, func: Callable[..., T] | tuple[Callable[..., T], str], *args, **kwargs347 ) -> T: ...348 def __finalize__(self, other, method=..., **kwargs) -> NDFrame: ...349 def __getattr__(self, name: _str): ...350 def __setattr__(self, name: _str, value) -> None: ...351 @property352 def values(self) -> ArrayLike: ...353 @property354 def dtypes(self): ...355 def astype(356 self: FrameOrSeries, dtype, copy: _bool = ..., errors: str = ...357 ) -> FrameOrSeries: ...358 def copy(self: FrameOrSeries, deep: _bool = ...) -> FrameOrSeries: ...359 def __copy__(self, deep: _bool = ...) -> NDFrame: ...360 def __deepcopy__(self, memo=...) -> NDFrame: ...361 def infer_objects(self) -> NDFrame: ...362 def convert_dtypes(363 self: FrameOrSeries,364 infer_objects: _bool = ...,365 convert_string: _bool = ...,366 convert_integer: _bool = ...,367 convert_boolean: _bool = ...,368 ) -> FrameOrSeries: ...369 def fillna(370 self,371 value=...,372 method=...,373 axis=...,374 inplace: _bool = ...,375 limit=...,376 downcast=...,377 ) -> NDFrame | None: ...378 def replace(379 self,380 to_replace=...,381 value=...,382 inplace: _bool = ...,383 limit=...,384 regex: _bool = ...,385 method: _str = ...,386 ): ...387 def asof(self, where, subset=...): ...388 def isna(self) -> NDFrame: ...389 def isnull(self) -> NDFrame: ...390 def notna(self) -> NDFrame: ...391 def notnull(self) -> NDFrame: ...392 def clip(393 self, lower=..., upper=..., axis=..., inplace: _bool = ..., *args, **kwargs394 ) -> NDFrame: ...395 def asfreq(396 self,397 freq,398 method=...,399 how: _str | None = ...,400 normalize: _bool = ...,401 fill_value=...,402 ) -> NDFrame: ...403 def at_time(self, time, asof: _bool = ..., axis=...) -> NDFrame: ...404 def between_time(405 self,406 start_time,407 end_time,408 include_start: _bool = ...,409 include_end: _bool = ...,410 axis=...,411 ) -> NDFrame: ...412 def first(self, offset) -> NDFrame: ...413 def last(self, offset) -> NDFrame: ...414 def rank(415 self,416 axis=...,417 method: _str = ...,418 numeric_only: _bool | None = ...,419 na_option: _str = ...,420 ascending: _bool = ...,421 pct: _bool = ...,422 ) -> NDFrame: ...423 def where(424 self,425 cond,426 other=...,427 inplace: _bool = ...,428 axis=...,429 level=...,430 errors: _str = ...,431 try_cast: _bool = ...,432 ): ...433 def mask(434 self,435 cond,436 other=...,437 inplace: _bool = ...,438 axis=...,439 level=...,440 errors: _str = ...,441 try_cast: _bool = ...,442 ): ...443 def shift(self, periods=..., freq=..., axis=..., fill_value=...) -> NDFrame: ...444 def slice_shift(self, periods: int = ..., axis=...) -> NDFrame: ...445 def tshift(self, periods: int = ..., freq=..., axis=...) -> NDFrame: ...446 def truncate(447 self, before=..., after=..., axis=..., copy: _bool = ...448 ) -> NDFrame: ...449 def tz_convert(self, tz, axis=..., level=..., copy: _bool = ...) -> NDFrame: ...450 def tz_localize(451 self,452 tz,453 axis=...,454 level=...,455 copy: _bool = ...,456 ambiguous=...,457 nonexistent: str = ...,458 ) -> NDFrame: ...459 def abs(self) -> NDFrame: ...460 def describe(461 self,462 percentiles=...,463 include=...,464 exclude=...,465 datetime_is_numeric: _bool | None = ...,466 ) -> NDFrame: ...467 def pct_change(468 self, periods=..., fill_method=..., limit=..., freq=..., **kwargs469 ) -> NDFrame: ...470 def transform(self, func, *args, **kwargs): ...471 def first_valid_index(self): ...472 def last_valid_index(self): ......
locale.pyi
Source:locale.pyi
1import sys2from _typeshed import StrPath3from collections.abc import Callable, Iterable, Mapping4__all__ = [5 "getlocale",6 "getdefaultlocale",7 "getpreferredencoding",8 "Error",9 "setlocale",10 "resetlocale",11 "localeconv",12 "strcoll",13 "strxfrm",14 "str",15 "atof",16 "atoi",17 "format",18 "format_string",19 "currency",20 "normalize",21 "LC_CTYPE",22 "LC_COLLATE",23 "LC_MESSAGES",24 "LC_TIME",25 "LC_MONETARY",26 "LC_NUMERIC",27 "LC_ALL",28 "CHAR_MAX",29]30if sys.version_info >= (3, 11):31 __all__ += ["getencoding"]32# This module defines a function "str()", which is why "str" can't be used33# as a type annotation or type alias.34from builtins import str as _str35from decimal import Decimal36from typing import Any37CODESET: int38D_T_FMT: int39D_FMT: int40T_FMT: int41T_FMT_AMPM: int42AM_STR: int43PM_STR: int44DAY_1: int45DAY_2: int46DAY_3: int47DAY_4: int48DAY_5: int49DAY_6: int50DAY_7: int51ABDAY_1: int52ABDAY_2: int53ABDAY_3: int54ABDAY_4: int55ABDAY_5: int56ABDAY_6: int57ABDAY_7: int58MON_1: int59MON_2: int60MON_3: int61MON_4: int62MON_5: int63MON_6: int64MON_7: int65MON_8: int66MON_9: int67MON_10: int68MON_11: int69MON_12: int70ABMON_1: int71ABMON_2: int72ABMON_3: int73ABMON_4: int74ABMON_5: int75ABMON_6: int76ABMON_7: int77ABMON_8: int78ABMON_9: int79ABMON_10: int80ABMON_11: int81ABMON_12: int82RADIXCHAR: int83THOUSEP: int84YESEXPR: int85NOEXPR: int86CRNCYSTR: int87ERA: int88ERA_D_T_FMT: int89ERA_D_FMT: int90ERA_T_FMT: int91ALT_DIGITS: int92LC_CTYPE: int93LC_COLLATE: int94LC_TIME: int95LC_MONETARY: int96LC_MESSAGES: int97LC_NUMERIC: int98LC_ALL: int99CHAR_MAX: int100class Error(Exception): ...101def setlocale(category: int, locale: _str | Iterable[_str | None] | None = ...) -> _str: ...102def localeconv() -> Mapping[_str, int | _str | list[int]]: ...103def nl_langinfo(__key: int) -> _str: ...104def getdefaultlocale(envvars: tuple[_str, ...] = ...) -> tuple[_str | None, _str | None]: ...105def getlocale(category: int = ...) -> tuple[_str | None, _str | None]: ...106def getpreferredencoding(do_setlocale: bool = ...) -> _str: ...107def normalize(localename: _str) -> _str: ...108def resetlocale(category: int = ...) -> None: ...109def strcoll(__os1: _str, __os2: _str) -> int: ...110def strxfrm(__string: _str) -> _str: ...111def format(percent: _str, value: float | Decimal, grouping: bool = ..., monetary: bool = ..., *additional: Any) -> _str: ...112def format_string(f: _str, val: Any, grouping: bool = ..., monetary: bool = ...) -> _str: ...113def currency(val: float | Decimal, symbol: bool = ..., grouping: bool = ..., international: bool = ...) -> _str: ...114def delocalize(string: _str) -> _str: ...115def atof(string: _str, func: Callable[[_str], float] = ...) -> float: ...116def atoi(string: _str) -> int: ...117def str(val: float) -> _str: ...118# native gettext functions119# https://docs.python.org/3/library/locale.html#access-to-message-catalogs120# https://github.com/python/cpython/blob/f4c03484da59049eb62a9bf7777b963e2267d187/Modules/_localemodule.c#L626121if sys.platform == "linux" or sys.platform == "darwin":122 def gettext(__msg: _str) -> _str: ...123 def dgettext(__domain: _str | None, __msg: _str) -> _str: ...124 def dcgettext(__domain: _str | None, __msg: _str, __category: int) -> _str: ...125 def textdomain(__domain: _str | None) -> _str: ...126 def bindtextdomain(__domain: _str, __dir: StrPath | None) -> _str: ...127 def bind_textdomain_codeset(__domain: _str, __codeset: _str | None) -> _str | None: ...128if sys.version_info >= (3, 11):129 def getencoding() -> _str: ...130locale_alias: dict[_str, _str] # undocumented131locale_encoding_alias: dict[_str, _str] # undocumented...
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