ฟังก์ชัน numpy.emath.log2() คำนวณ log2 รองรับค่าพิเศษเช่น inf, -inf และค่าลบ
ขั้นตอน
import numpy as np
arr = np.array([np.inf, -np.inf, 16, np.exp(1), -np.exp(1), -32])
print("Our Array...\n", arr)
print("\nDimensions of our Array...\n", arr.ndim)
print("\nDatatype of our Array object...\n", arr.dtype)
print("\nShape of our Array object...\n", arr.shape)
print("\nResult (log2)...\n", np.emath.log2(arr))
ตัวอย่างโค้ดสมบูรณ์
import numpy as np
arr = np.array([np.inf, -np.inf, 16, np.exp(1), -np.exp(1), -32])
print("Our Array...\n", arr)
print("\nDimensions of our Array...\n", arr.ndim)
print("\nDatatype of our Array object...\n", arr.dtype)
print("\nShape of our Array object...\n", arr.shape)
print("\nResult (log2)...\n", np.emath.log2(arr))
ผลลัพธ์
Our Array... [ inf -inf 16. 2.71828183 -2.71828183 -32. ] Dimensions of our Array... 1 Datatype of our Array object... float64 Shape of our Array object... (6,) Result (log2)... [ inf+0.j inf+4.53236014j 4. +0.j 1.44269504+0.j 1.44269504+4.53236014j 5. +4.53236014j]