To test whether similar float type of different sizes are subdtypes of floating class, use the numpy.issubdtype() method in Python Numpy. The parameters are the dtype or object coercible to one.StepsAt first, import the required library −import numpy as npUsing the issubdtype() method in Numpy. Checking for floating point datatype ... Read More

To find the Trigonometric cosine of an array of angles given in degrees, use the numpy.cos() method in Python Numpy. The method returns the cosine of each element of the 1st parameter x. The 1st parameter, x, is an Angle, in radians (2pi means 360 degrees). Here, it is an ... Read More

To find the Trigonometric cosine, use the numpy.cos() method in Python Numpy. The method returns the sine of each element of the 1st parameter x. The 1st parameter, x, is an Angle, in radians (2pi means 360 degrees). The 2nd and 3rd parameters are optional. The 2nd parameter is an ... Read More

To integrate along the given axis using the composite trapezoidal rule, use the numpy.trapz() method. If x is provided, the integration happens in sequence along its elements - they are not sorted. The method returns the definite integral of ‘y’ = n-dimensional array as approximated along a single axis by ... Read More

To determine if a class is a subclass of a second class, use the numpy.issubclass_() method in Python numpy. The 1st argument is the input class. True is returned if arg1 is a subclass of arg2. The 2nd argument is the input class. If a tuple of classes, True is ... Read More

To get the Trigonometric sines of an array of angles given in degrees, use the numpy.sin() method in Python Numpy. The method returns the sine of each element of the 1st parameter x. This is a scalar if is a scalar. The 1st parameter, x, is an Angle, in radians ... Read More

To find the Trigonometric sine of an angle, use the numpy.sin() method in Python Numpy. The method returns the sine of each element of the 1st parameter x. The 1st parameter, x, is an Angle, in radians (2pi means 360 degrees). The 2nd and 3rd parameters are optional.The 2nd parameter ... Read More

To return the scalar type of highest precision of the same kind as the input, use the maximum_sctype() method in Python Numpy. The parameter is the input data type. This can be a dtype object or an object that is convertible to a dtype.StepsAt first, import the required library −import ... Read More

To return the string representation of a scalar dtype, use the sctype2char() method in Python Numpy. The 1st argument, if a scalar dtype, the corresponding string character is returned. If an object, sctype2char tries to infer its scalar type and then return the corresponding string character.StepsAt first, import the required ... Read More

To return a description for the given data type code, use the typename() method in Python Numpy. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse ... Read More