La biblioteca Numpy nos brinda funciones como real()
y imag()
para encontrar partes reales e imaginarias de un número complejo.
real() :
Para encontrar la parte real del número complejoimag() :
Para encontrar la parte imaginaria del número complejo
Ejemplo 1 :
# importing the module import numpy as np # creating a NumPy array complex_num = np.array([-1 + 9j, 2 - 77j, 31 - 25j, 40 - 311j, 72 + 11j]) # traversing the list for i in range(len(complex_num)): print("{}. complex number is {}".format(i + 1, complex_num[i])) print ("The real part is: {}".format(complex_num[i].real)) print ("The imaginary part is: {}\n".format(complex_num[i].imag))
Producción :
1. complex number is (-1+9j) The real part is: -1.0 The imaginary part is: 9.0 2. complex number is (2-77j) The real part is: 2.0 The imaginary part is: -77.0 3. complex number is (31-25j) The real part is: 31.0 The imaginary part is: -25.0 4. complex number is (40-311j) The real part is: 40.0 The imaginary part is: -311.0 5. complex number is (72+11j) The real part is: 72.0 The imaginary part is: 11.0
Ejemplo 2: El valor imaginario del número real será 0.
# importing the module import numpy as np # creating a NumPy array complex_num = np.array([-1, 31, 0.5]) # traversing the list for i in range(len(complex_num)): print("{}. Number is {}".format(i + 1, complex_num[i])) print ("The real part is: {}".format(complex_num[i].real)) print ("The imaginary part is: {}\n".format(complex_num[i].imag))
Producción :
1. Number is -1.0 The real part is: -1.0 The imaginary part is: 0.0 2. Number is 31.0 The real part is: 31.0 The imaginary part is: 0.0 3. Number is 0.5 The real part is: 0.5 The imaginary part is: 0.0
Publicación traducida automáticamente
Artículo escrito por shivanshsaxena1 y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA