subtract Subtract elements in second array from first array multiply Multiply array elements divide, floor_divide Divide or floor divide (truncating the remainder) power Raise elements in first array to powers indicated in second array maximum, fmax Element-wise maximum; fmax ignores NaN minimum, fmi...
>>> # Create an empty array with 2 elements >>> np.empty(2) array([3.14, 42\. ]) # may vary 您可以创建一个具有元素范围的数组: 代码语言:javascript 代码运行次数:0 运行 复制 >>> np.arange(4) array([0, 1, 2, 3]) 甚至可以创建一个包含一系列均匀间隔的区间的数组。为此,您需要...
numpy.log10(x, args, kwargs) Return the base 10 logarithm of the input array, element-wise. 2.2.4加法函数、乘法函数 numpy.sum numpy.sum(a[, axis=None, dtype=None, out=None, …]) * Sum of array elements over a given axis.
import numpy as np arr1 = np.array([1, 2, 3]) arr2 = np.array([4, 5, 6]) # 逐元素加法 result_add = arr1 + arr2 # 逐元素减法 result_subtract = arr1 - arr2 # 逐元素乘法 result_multiply = arr1 * arr2 # 逐元素除法 result_divide = arr1 / arr2 3.2幂运算和取余数 im...
array.sort(axis=0) 按照指定轴排序一个数组 https://docs.scipy.org/doc/numpy/reference/generated/numpy.sort.html 举例 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import numpy as np # Sort sorts in ascending order y = np.array([10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) y.sort(...
'''数组创建'''importnumpy as np#一、使用 array()函数创建a = np.array([1,2,3])print(a,a.dtype)#[1 2 3] int32b = np.array([1.2,3.3])print(b,b.dtype)#[1.2 3.3] float64#array不能同时调用多个参数nc = np.array([1,2,3],[4,5,6])print(c)#Field elements must be 2- or...
ediff1d(ary[, to_end, to_begin])The differences between consecutive elements of an array. gradient(f, *varargs, **kwargs)Return the gradient of an N-dimensional array. cross(a, b[, axisa, axisb, axisc, axis])Return the cross product of two (arrays of) vectors. trapz(y[, x, dx...
a: source elements size: replace: sampling with or without replacement.True(default, a value can be sampled multiple times) orFalse. p: probabilities of elements. np.random.rand(d0,d1,...dn) 生成由[0,1)之间随机数构成的指定维度数组,参数: ...
(N维数数组对象), or ndarray, which is a fast, flexible container(容器) for large datasets in Python. Arrays enable you to perform(执行) mathematical operations on whole blocks of data using similar syntax to the equivalent operations between scalar(标量) delements.(数组和标量运算, 会映射到...
An ndarray is a generic multidimensional container for homogeneous data; that is, all of the elements must be the same type. Every array has a shape, a tuple indicating the size of each dimension, and a dtype, an object describing the data type of the array: In [17]: data.shape Out[...