NumPy NumPy参考

• 数组对象
•    N维数组（ndarray）
•       numpy.ndarray
•       numpy.ndarray.flatten
•             numpy.ndarray.getfield
•             numpy.ndarray.item
•             numpy.ndarray.itemset
•             numpy.ndarray.max
•             numpy.ndarray.mean
•             numpy.ndarray.min
•             numpy.ndarray.newbyteorder
•             numpy.ndarray.nonzero
•             numpy.ndarray.partition
•             numpy.ndarray.prod
•             numpy.ndarray.ptp
•             numpy.ndarray.put
•             numpy.ndarray.ravel
•             numpy.ndarray.repeat
•             numpy.ndarray.reshape
•             numpy.ndarray.resize
•             numpy.ndarray.round
•             numpy.ndarray.searchsorted
•             numpy.ndarray.setfield
•             numpy.ndarray.setflags
•       numpy.ndarray.sort
•       numpy.ndarray.tofile
•       numpy.ndarray.tolist
•       numpy.ndarray.T
•       numpy.ndarray.flat
•       numpy.ndarray.__lt__
•       numpy.ndarray.__le__
•       numpy.ndarray.__gt__
•       numpy.ndarray.__ge__
•       numpy.ndarray.__eq__
•       numpy.ndarray.__ne__
•       numpy.ndarray.__bool__
•       numpy.ndarray.__neg__
•       numpy.ndarray.__pos__
•       numpy.ndarray.__abs__
•       numpy.ndarray.__invert__
•       numpy.ndarray.__add__
•       numpy.ndarray.__sub__
•       numpy.ndarray.__mul__
•       numpy.ndarray.__truediv__
•       numpy.ndarray.__floordiv__
•       numpy.ndarray.__mod__
•       numpy.ndarray.__divmod__
•       numpy.ndarray.__pow__
•       numpy.ndarray.__lshift__
•       numpy.ndarray.__rshift__
•       numpy.ndarray.__and__
•       numpy.ndarray.__or__
•       numpy.ndarray.__xor__
•       numpy.ndarray.__iadd__
•       numpy.ndarray.__isub__
•       numpy.ndarray.__imul__
•       numpy.ndarray.__itruediv__
•       numpy.ndarray.__ifloordiv__
•       numpy.ndarray.__imod__
•       numpy.ndarray.__ipow__
•       numpy.ndarray.__ilshift__
•       numpy.ndarray.__irshift__
•       numpy.ndarray.__iand__
•       numpy.ndarray.__ior__
•       numpy.ndarray.__ixor__
•       numpy.ndarray .__ matmul__
•       numpy.ndarray .__ copy__
•       numpy.ndarray .__ deepcopy__
•       numpy.ndarray .__ reduce__
•       numpy.ndarray .__ setstate__
•       numpy.ndarray .__ new__
•       numpy.ndarray .__ array__
•       numpy.ndarray .__ array_wrap__
•       numpy.ndarray .__ len__
•       numpy.ndarray .__ getitem__
•       numpy.ndarray .__ setitem__
•       numpy.ndarray .__包含__
•       numpy.ndarray .__ int__
•       numpy.ndarray .__ float__
•       numpy.ndarray .__ complex__
•       numpy.ndarray .__ str__
•       numpy.ndarray .__ repr__
•    标量
•    数据类型对象（dtype）
•    索引编制
•    遍历数组
•    标准数组子类
•    Masked arrays
•    Masked array operations
•    阵列介面
•    日期时间和时间增量
• 常数
• 通用功能（ufunc）
• 例行程序
• Packaging (numpy.distutils)
• NumPy Distutils - Users Guide
• NumPy C-API
• NumPy内部
• NumPy和SWIG

方法

ndarray.prod（axis = None，dtype = None，out = None，keepdims = False，initial = 1，where = True ）¶

返回给定轴上数组元素的乘积

请参阅numpy.prod完整的文档。

也可以看看

numpy.prod

等效功能