numpy.log1p(arr, out = None, *, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘log1p’):
esta función matemática ayuda al usuario a calcular el valor logarítmico natural de x +1 donde x pertenece a todos los elementos del arreglo de entrada.
Parámetros:
array : [array_like]Input array or object. out : [ndarray, optional]Output array with same dimensions as Input array, placed with result. **kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function. where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.
Devolver :
An array with natural logarithmic value of x + 1; where x belongs to all elements of input array.
Código 1: Trabajando
# Python program explaining # log1p() function import numpy as np in_array = [1, 3, 5] print ("Input array : ", in_array) out_array = np.log1p(in_array) print ("Output array : ", out_array)
Producción :
Input array : [1, 3, 5] Output array : [ 0.69314718 1.38629436 1.79175947]
Código 2: Representación gráfica
# Python program showing # Graphical representation of # log1p() function import numpy as np import matplotlib.pyplot as plt in_array = [1, 1.2, 1.4, 1.6, 1.8, 2] out_array = np.log1p(in_array) print ("out_array : ", out_array) y = [1, 1.2, 1.4, 1.6, 1.8, 2] plt.plot(in_array, y, color = 'blue', marker = "*") # red for numpy.log1xp() plt.plot(out_array, y, color = 'red', marker = "o") plt.title("numpy.log1p()") plt.xlabel("X") plt.ylabel("Y") plt.show()
Producción :
out_array : [ 0.69314718 0.78845736 0.87546874 0.95551145 1.02961942 1.09861229]
Referencias:
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.exp.html
.
Publicación traducida automáticamente
Artículo escrito por GeeksforGeeks-1 y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA