How to use _scale_to_exp method in pandera

Best Python code snippet using pandera_python

dtypes.py

Source: dtypes.py Github

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...270###############################################################################271# decimal272###############################################################################273DEFAULT_PYTHON_PREC = 28274def _scale_to_exp(scale: int) -> decimal.Decimal:275 scale_fmt = format(10**-scale, f".{scale}f")276 return decimal.Decimal(scale_fmt)277@immutable(init=True)278class Decimal(_Number):279 """Semantic representation of a decimal data type."""280 exact: bool = dataclasses.field(init=False, default=True)281 continuous: bool = dataclasses.field(init=False, default=True)282 precision: int = DEFAULT_PYTHON_PREC283 """The number of significant digits that the decimal type can represent."""284 scale: int = 0 # default 0 is aligned with pyarrow and various databases.285 """The number of digits after the decimal point."""286 # pylint: disable=line-too-long287 rounding: str = dataclasses.field(288 default_factory=lambda: decimal.getcontext().rounding289 )290 """291 The `rounding mode <https:/​/​docs.python.org/​3/​library/​decimal.html#rounding-modes>`__292 supported by the Python :py:class:`decimal.Decimal` class.293 """294 def __init__(295 self,296 precision: int = DEFAULT_PYTHON_PREC,297 scale: int = 0,298 rounding: Optional[str] = None,299 ):300 super().__init__()301 if precision <= 0:302 raise ValueError(303 f"Decimal precision {precision} must be positive."304 )305 if scale is not None and scale > precision:306 raise ValueError(307 f"Decimal scale {scale} must be between 0 and {precision}."308 )309 object.__setattr__(self, "precision", precision)310 object.__setattr__(self, "scale", scale)311 object.__setattr__(self, "rounding", rounding)312 object.__setattr__(313 self, "_exp", _scale_to_exp(scale) if scale else None314 )315 object.__setattr__(316 self,317 "_ctx",318 decimal.Context(prec=precision, rounding=self.rounding),319 )320 def __str__(self) -> str:321 return f"{self.__class__.__name__}({self.precision}, {self.scale})"322###############################################################################323# nominal324###############################################################################325@immutable(init=True)326class Category(DataType): # type: ignore327 """Semantic representation of a categorical data type."""...

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