借助Numpy matrix.cumprod()
方法,我們能夠找到一個cumulative product
給定矩陣的矩陣,並將輸出作為一維矩陣。
用法: matrix.cumprod()
返回: 返回矩陣的累計積
範例1:
在此示例中,我們可以借助matrix.cumprod()
方法,我們能夠找到給定矩陣的累積積。
# import the important module in python
import numpy as np
# make matrix with numpy
gfg = np.matrix('[6, 2, 3]')
# applying matrix.cumprod() method
geeks = gfg.cumprod()
print(geeks)
輸出:
[[ 6 12 36]]
範例2:
# import the important module in python
import numpy as np
# make a matrix with numpy
gfg = np.matrix('[1, 2, 3; 4, 5, 6]')
# applying matrix.cumprod() method
geeks = gfg.cumprod()
print(geeks)
輸出:
[[ 1 2 6 24 120 720]]
相關用法
- Python Numpy numpy.ndarray.__mod__()用法及代碼示例
- Python Numpy numpy.ndarray.__ge__()用法及代碼示例
- Python Numpy numpy.ndarray.__invert__()用法及代碼示例
- Python Numpy numpy.ndarray.__divmod__()用法及代碼示例
- Python Numpy numpy.ndarray.__eq__()用法及代碼示例
- Python Numpy numpy.ndarray.__pow__()用法及代碼示例
- Python Numpy numpy.ndarray.__rshift__()用法及代碼示例
- Python Numpy numpy.ndarray.__le__()用法及代碼示例
- Python Numpy numpy.ndarray.__lt__()用法及代碼示例
- Python Numpy numpy.ndarray.__gt__()用法及代碼示例
- Python Numpy numpy.ndarray.__truediv__()用法及代碼示例
- Python Numpy numpy.ndarray.__mul__()用法及代碼示例
- Python Numpy numpy.ndarray.__sub__()用法及代碼示例
- Python Numpy numpy.ndarray.__pos__()用法及代碼示例
- Python Numpy numpy.ndarray.__add__()用法及代碼示例
注:本文由純淨天空篩選整理自Jitender_1998大神的英文原創作品 Python | Numpy matrix.cumprod()。非經特殊聲明,原始代碼版權歸原作者所有,本譯文未經允許或授權,請勿轉載或複製。