pandas.Series.any 方法

pandas.Series.any 方法

描述

Series.any(*, axis=0, bool_only=False, skipna=True, **kwargs)
返回是否任意元素为 True，可以选择沿某个轴进行计算。除非至少有一个元素在 Series 或 DataFrame 的某轴上为 True（或等价值，如非零或非空），否则返回 False。

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参数说明

参数名	类型	默认值	描述
axis	{0 或 ‘index’, 1 或 ‘columns’, None}	0	指定要减少的轴。对于 Series，此参数未使用，默认为 0。
			- 0 / 'index'：减少索引，返回一个 Series，其索引是原始列标签。
			- 1 / 'columns'：减少列，返回一个 Series，其索引是原始索引。
			- None：减少所有轴，返回一个标量值。
bool_only	bool	False	仅包含布尔类型的列。对于 Series 未实现。
skipna	bool	True	排除 NA/null 值。如果整行/列均为 NA 且 skipna=True，则结果为 False，如同空行/列。如果 skipna=False，NA 被视为 True，因为它们不等于零。
**kwargs	any	None	其他关键字参数无实际作用，但可能为了与 NumPy 兼容而接受。

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返回值

类型	描述
标量或 Series	如果指定了 level，则返回 Series；否则返回标量值。

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翻译 (Translation)

Description

Series.any(*, axis=0, bool_only=False, skipna=True, **kwargs)
Returns whether any element is True, potentially over an axis. Unless there is at least one element within a Series or along a DataFrame axis that is True (or equivalent, such as non-zero or non-empty), it returns False.

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Parameters

Parameter	Type	Default	Description
axis	{0 or ‘index’, 1 or ‘columns’, None}	0	Specify which axis or axes should be reduced. For Series, this parameter is unused and defaults to 0.
			- 0 / 'index': Reduce the index, return a Series whose index is the original column labels.
			- 1 / 'columns': Reduce the columns, return a Series whose index is the original index.
			- None: Reduce all axes, return a scalar.
bool_only	bool	False	Include only boolean columns. Not implemented for Series.
skipna	bool	True	Exclude NA/null values. If the entire row/column is NA and skipna=True, then the result will be False, as for an empty row/column. If skipna=False, NA are treated as True, because these are not equal to zero.
**kwargs	any	None	Additional keywords have no effect but might be accepted for compatibility with NumPy.

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Returns

Type	Description
Scalar or Series	If level is specified, then a Series is returned; otherwise, a scalar is returned.