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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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