Natural Log, or Log at Base eUse the log() function to perform log at the base e.Example Find log at base e of all elements of following array: import numpy as nparr = np.arange(1, 10)print(np.log(arr)) Try it
natural logarithm of3is1.0986122886681098natural logarithm of5is1.6094379124341003 Python Copy 如果输入是一个n-dim数组,那么函数将按元素顺序应用。例如,np.log([1,2,3])相当于[np.log(1),np.log(2),np.log(3)] 示例: importnumpy arr=np.array([...
numpy.log numpy.log(x, args, kwargs) Natural logarithm, element-wise. numpy.exp2 numpy.exp2(x, *args, kwargs) * Calculate 2p for all p in the input array. numpy.log2 numpy.log2(x, args, kwargs) Base-2 logarithm of x.
The natural logarithm log is the inverse of the exponential function, so that log(exp(x)) = x. The natural logarithm is logarithm in base e. import numpy as np 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...
5.77350269e-01 8.39099631e-01 1.19175359e+00 1.73205081e+00 2.74747742e+00 5.67128182e+00 1.63312394e+16] [0. 0.17453293 0.34906585 0.52359878 0.6981317 0.87266463 1.04719755 1.22173048 1.3962634 1.57079633] # The natural logarithm log is the inverse of the exponential function, so that log(exp(x))...
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...
z=np.array([1+1j,2-2j])# 复数指数函数exp_result=np.exp(z)print("numpyarray.com - Exponential:",exp_result)# 复数对数函数log_result=np.log(z)print("numpyarray.com - Natural logarithm:",log_result)# 复数平方根sqrt_result=np.sqrt(z)print("numpyarray.com - Square root:",sqrt_resul...
Now, we’ll use the Numpy log function onmy_arrayto calculate the natural log of each number. np.log(my_array) OUT: array([0., 0.69314718, 1.09861229, 1.38629436]) Explanation This should be very easy to understand. Here, we used np.log to calculate the natural logarithm, ...
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) ...
The numpy.log() method is used to calculate the natural logarithm of the elements in an array. The numpy.log() function is used to calculate the natural logarithm of the elements in an array.