移除Python中Hermite_e多项式的尾部小系数
要移除Hermite_e多项式的尾部小系数,请在Python NumPy中使用hermite_e.hermetrim()方法。该方法返回一个已去除尾部零的1维数组。如果生成的序列为空,则返回包含单个零的序列。
“小”表示“绝对值小”,由参数tol控制;“尾部”表示最高阶系数,例如,在[0, 1, 1, 0, 0](表示0 + x + x**2 + 0*x**3 + 0*x**4)中,第3阶和第4阶系数都将被“修剪”。参数c是一个从低阶到高阶排序的1维系数数组。参数tol是:绝对值小于或等于tol的尾部元素将被移除。
步骤
首先,导入所需的库:
import numpy as np from numpy.polynomial import hermite_e as H
使用numpy.array()方法创建一个数组。这是一个1维系数数组:
c = np.array([0,5,0, 0,9,0])
显示数组:
print("Our Array...\n",c)
检查维度:
print("\nDimensions of our Array...\n",c.ndim)
获取数据类型:
print("\nDatatype of our Array object...\n",c.dtype)
获取形状:
print("\nShape of our Array object...\n",c.shape)
要移除Hermite_e多项式的尾部小系数,请在Python中使用hermite_e.hermetrim()方法:
print("\nResult...\n",H.hermetrim((c)))
示例
import numpy as np from numpy.polynomial import hermite_e as H # Create an array using the numpy.array() method # This is the 1-d array of coefficients c = np.array([0,5,0, 0,9,0]) # Display the array print("Our Array...\n",c) # Check the Dimensions print("\nDimensions of our Array...\n",c.ndim) # Get the Datatype print("\nDatatype of our Array object...\n",c.dtype) # Get the Shape print("\nShape of our Array object...\n",c.shape) # To remove small trailing coefficients from Hermite_e polynomial, use the hermite_e.hermetrim() method in Python Numpy. print("\nResult...\n",H.hermetrim((c)))
输出
Our Array... [0 5 0 0 9 0] Dimensions of our Array... 1 Datatype of our Array object... int64 Shape of our Array object... (6,) Result... [0. 5. 0. 0. 9.]
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