##### Series 二元操作及运算符 - [[Series.combine()]] 通过指定的函数对相同索引位置的元素进行合并 ```python series + other Series.add(other[, level, fill_value, axis]) Series.radd(other[, level, fill_value, axis]) # other + series # 按索引相加 series - other Series.sub(other[, level, fill_value, axis]) Series.rsub(other[, level, fill_value, axis]) # other - series # 按索引相减 series * other Series.mul(other[, level, fill_value, axis]) Series.rmul(other[, level, fill_value, axis]) # other * series # 按索引相乘 series / other Series.div(other[, level, fill_value, axis]) Series.rdiv(other[, level, fill_value, axis]) # other / series Series.truediv(other[, level, fill_value, axis]) Series.rtruediv(other[, level, fill_value, axis]) # other / series # 按索引相除 series // other Series.floordiv(other[, level, fill_value, axis]) Series.rfloordiv(other[, level, fill_value, ...]) # other // series # 按索引整除 series % other Series.mod(other[, level, fill_value, axis]) Series.rmod(other[, level, fill_value, axis]) # other % series # 按索引模运算 series ** other Series.pow(other[, level, fill_value, axis]) Series.rpow(other[, level, fill_value, axis]) # other ** series # 按索引幂运算 series < other Series.lt(other[, level, fill_value, axis]) series > other Series.gt(other[, level, fill_value, axis]) series <= other Series.le(other[, level, fill_value, axis]) series >= other Series.ge(other[, level, fill_value, axis]) series != other Series.ne(other[, level, fill_value, axis]) series == other Series.eq(other[, level, fill_value, axis]) # 按索引对比值，返回布尔值 series @ other Series.dot(other) # 点积 Series.round([decimals]) # 四舍五入 Series.product([axis, skipna, numeric_only, ...]) # 沿轴累乘 Series.combine_first(other) # 通过用来自另一个 Series 的非空值填充一个 Series 中的空值来组合两个 Series 对象 ```