Trigonometric tangent is equivalent to np.sin(x)/np.cos(x) element-wise. To get the Trigonometric tangent of an array of angles given in degrees, use the numpy.tan() method in Python Numpy. The method returns the tangent 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 array of angles.The 2nd and 3rd parameters are optional. The 2nd parameter is an ndarray, A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array ... Read More

The gradient is computed using second order accurate central differences in the interior points and either first or second order accurate one-sides (forward or backwards) differences at the boundaries. The returned gradient hence has the same shape as the input array. The 1st parameter, f is an Ndimensional array containing samples of a scalar function. The 2nd parameter is the varargs i.e. the spacing between f values. Default unitary spacing for all dimensions.The 3rd parameter is the edge_order{1, 2} i.e. the Gradient is calculated using N-th order accurate differences at the boundaries. Default: 1. The 4th parameter is the Gradient, ... Read More

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 with different sizes −print("Result...", np.issubdtype(np.float16, np.floating)) print("Result...", np.issubdtype(np.float32, np.floating)) print("Result...", np.issubdtype(np.float64, np.floating))Exampleimport numpy as np # 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 print("Using ... 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 array of angles. The 2nd and 3rd parameters are optional.The 2nd parameter is an ndarray, A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple must have length ... 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 ndarray, A location into which the result is stored.If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshlyallocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.The 3rd parameter is ... 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 the trapezoidal rule. If ‘y’ is a 1-dimensional array, then the result is a float. If ‘n’ is greater than 1, then the result is an ‘n-1’ dimensional array.The 1st parameter, y is the input array to integrate. The 2nd parameter, x is the sample points corresponding to the y ... 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 returned if arg1 is a subclass of any of the tuple elements. The issubclass_ is equivalent to the Python built-in issubclass, except that it returns False instead of raising a TypeError if one of the arguments is not a class.StepsAt first, import the required library −import numpy as npUsing the ... 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 (2pi means 360 degrees). Here, it is an array of angles. The 2nd and 3rd parameters are optional.The 2nd parameter is an ndarray, A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated ... 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 is an ndarray, A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. The ... 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 numpy as npUsing the maximum_sctype() method in Numpy. Get the scalar type of highest precision −print("Result...", np.maximum_sctype(int)) print("Result...", np.maximum_sctype(np.uint8)) print("Result...", np.maximum_sctype(complex)) print("Result...", np.maximum_sctype(str)) print("Result...", np.maximum_sctype('f4')) print("Result...", np.maximum_sctype('i2')) print("Result...", np.maximum_sctype('i4')) print("Result...", np.maximum_sctype('i8'))Exampleimport numpy as np # To return the scalar type of highest precision of the same kind as the ... Read More