To compute the inverse cosine with scimath, use the numpy.emath.arccos() method in Python. Return the “principal value” of the inverse cosine of x. For real x such that abs(x) <= 1, this is a real number in the closed interval [0,π]. Otherwise, the complex principle value is returned.
The method returns the inverse cosine(s) of the x value(s). If x was a scalar, so is out, otherwise an array object is returned. The 1st parameter is the value(s) whose arccos is (are) required.
Steps
At first, import the required libraries −
import numpy as np
Create a numpy array using the array() method −
arr = np.array([1, -1, 2, 0])
Display the array −
print("Array...\n", arr)
Get the type of the array −
print("\nOur Array type...\n", arr.dtype)
Get the dimensions of the Array −
print("\nOur Array Dimension...\n",arr.ndim)
To compute the inverse cosine with scimath, use the numpy.emath.arccos() method in Python −
print("\nResult...",np.emath.arccos(arr))
Example
import numpy as np # Create a numpy array using the array() method arr = np.array([1, -1, 2, 0]) # Display the array print("Array...\n", arr) # Get the type of the array print("\nOur Array type...\n", arr.dtype) # Get the dimensions of the Array print("\nOur Array Dimensions...\n",arr.ndim) # Get the number of elements in the Array print("\nNumber of elements...\n", arr.size) # To compute the inverse cosine with scimath, use the numpy.emath.arccos() method in Python print("\nResult...",np.emath.arccos(arr))
Output
Array... [ 1 -1 2 0] Our Array type... int64 Our Array Dimensions... 1 Number of elements... 4 Result... [0. -0.j 3.14159265-0.j 0. -1.3169579j 1.57079633-0.j ]