To compute the inverse hyperbolic tangent with arctanh, use the numpy.emath.arctanh() method in Python. Returns the “principal value” of arctanh(x). For real x such that abs(x) < 1, this is a real number. If abs(x) > 1, or if x is complex, the result is complex. Finally, x = 1 returns``inf`` and x=-1 returns -inf.The method returns the inverse hyperbolic tangent(s) of the x value(s). If x was a scalar so is out, otherwise an array is returned. The 1st parameter is the value(s) whose arctanh is (are) required.StepsAt first, import the required libraries −import numpy as npCreate a numpy ... Read More

To compute the inverse sine with scimath, use the numpy.emath.arcsin() method in Python. Returns the “principal value” of the inverse sine of x. For real x such that abs(x)

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)

To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python. Returns x to the power p, i.e. the result of x**p. If x and p are scalars, so is out, otherwise an array is returned.If x contains negative values, the output is converted to the complex domain. The parameter x is the input value. The parameter p is the power(s) to which x is raised. If x contains multiple values, p has to either be a scalar, or contain the same number of values as x. In the ... Read More

To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python. Returns x to the power p, i.e. the result of x**p. If x and p are scalars, so is out, otherwise an array is returned. If x contains negative values, the output is converted to the complex domain. The parameter x is the input valueThe parameter p is the power(s) to which x is raised. If x contains multiple values, p has to either be a scalar, or contain the same number of values as x. In the ... Read More

To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python. Returns x to the power p, i.e. the result of x**p. If x and p are scalars, so is out, otherwise an array is returned. If x contains negative values, the output is converted to the complex domain. The parameter x is the input valueThe parameter p is the power(s) to which x is raised. If x contains multiple values, p has to either be a scalar, or contain the same number of values as x. In the ... Read More

To compute the logarithm base 10 with scimath, use the scimath.log10() method in Python Numpy. The method returns the log base 10 of the x value(s). If x was a scalar, so is out, otherwise an array object is returned.For a log10() that returns NAN when real x < 0, use numpy.log10 (note, however, that otherwise numpy.log10 and this log10 are identical, i.e., both return -inf for x = 0, inf for x = inf, and, notably, the complex principle value if x.imag != 0). The 1st parameter, x is the value(s) whose log base 10 is (are) required.StepsAt first, ... Read More

To compute the logarithm base n with scimath, use the scimath.logn() method in Python Numpy. The method returns the log base n of the x value(s). If x was a scalar, so is out, otherwise an array is returned.If x contains negative inputs, the answer is computed and returned in the complex domain. The 1st parameter, n is the integer base(s) in which the log is taken. The 2nd parameter, x is the value(s) whose log base n is (are) required.StepsAt first, import the required libraries −import numpy as npCreating a numpy array using the array() method −arr = np.array([-4, ... Read More

To compute the logarithm base 2 with scimath, use the np.emath.log2() method in Python Numpy. The method returns the log base 2 of the x value(s). If x was a scalar, so is out, otherwise an array is returned. The 1st parameter, x is the value(s) whose log base 2 is (are) required.StepsAt first, import the required libraries −import numpy as npCreating a numpy array using the array() method −arr = np.array([np.inf, -np.inf, 16, np.exp(1), -np.exp(1), -32]) Display the array −print("Our Array...", arr)Check the Dimensions −print("Dimensions of our Array...", arr.ndim) Get the Datatype −print("Datatype of our Array object...", arr.dtype)Get the ... Read More

To compute the natural logarithm with scimath, use the np.emath.log() method in Python Numpy. The method returns the log of the x value(s). If x was a scalar, so is out, otherwise an array is returned. The 1st parameter, x is the value(s) whose log is (are) required.StepsAt first, import the required libraries −import numpy as npCreating a numpy array using the array() method −arr = np.array([np.inf, -np.inf, np.exp(1), -np.exp(1)]) Display the array −print("Our Array...", arr)Check the Dimensions −print("Dimensions of our Array...", arr.ndim) Get the Datatype −print("Datatype of our Array object...", arr.dtype)Get the Shape −print("Shape of our Array object...", arr.shape) ... Read More