numpy.log2 numpy.log2(x,args, kwargs)Base-2 logarithm of x. numpy.log10 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 ov...
numpy.log10(x, *args, **kwargs) Return the base 10 logarithm of the input array, element-wise. 4.加法乘法函数
numpy.log(x, *args, **kwargs) Natural logarithm, element-wise. 3 )numpy.exp2 numpy.exp2(x, *args, kwargs) Calculate 2p for all p in the input array. 4 )numpy.log2 numpy.log2(x, *args, **kwargs) Base-2 logarithm of x . 5 )numpy.log10 numpy.log10(x, *args, **kwargs...
log(arr2))) # Base 10 logarithm print(repr(np.log10(arr2))) array([[ 2.71828183, 7.3890561 ], [20.08553692, 54.59815003]]) array([[ 2., 4.], [ 8., 16.]]) array([[2.30258509, 4.60517019], [1. , 1.14472989]]) array([[1. , 2. ], [0.43429448, 0.49714987]]) 要执行任何...
numpy.log10(x, *args, **kwargs)Return the base 10 logarithm of the input array, element-wise. 【例】The natural logarithmlogis the inverse of the exponential function, so thatlog(exp(x)) = x. The natural logarithm is logarithm in basee. ...
log, log10,log2, log1p Natural logarithm (base e), log base 10, log base 2, and log(1 + x), respectivelysign Compute the sign of each element: 1 (positive), 0 (zero), or –1 (negative)ceil 计算大于等于的最大整数值 Compute the ceiling of each element (i.e., the smallest ...
Natural logarithm (base e), log base 10, log base 2, and log(1 + x), respectively sign Compute the sign of each element: 1 (positive), 0 (zero), or –1 (negative) ceil 计算大于等于的最大整数值 Compute the ceiling of each element (i.e., the smallest integer greater than or equ...
Base-2 logarithm of x. numpy.log10(x, *args, **kwargs) Return the base 10 logarithm of the input array, element-wise. 示例 x = np.arange(1, 5) print(x) # [1 2 3 4] y = np.exp(x) print(y) # [ 2.71828183 7.3890561 20.08553692 54.59815003] ...
log10(x[, out])以10为底对数 log2(x[, out]) 以2为底对数. log1p(x[, out])exp(x) - 1 logaddexp(x1, x2[, out])Logarithm of the sum of exponentiations of the inputs. logaddexp2(x1, x2[, out]) Logarithm of the sum of exponentiations of the inputs in base-2. 算术运算...
Logarithm of the sum of exponentiations of the inputs in base-2: -113.599555228 Click me to see the sample solution3. Write a NumPy program to get true division of the element-wise array inputs. Expected Output: Original array: [0 1 2 3 4 5 6 7 8 9] Division of the array inp...