To return the scalar dtype or NumPy equivalent of Python type of an object, use the numpy.obj2sctype() method. The 1st parameter is the object of which the type is returned The default parameter, if given, is returned for objects whose types cannot be determined. If not given, None is returned ... Read More

To return a scalar type which is common to the input arrays, use the numpy.common_type() method in Python Numpy. The 1st parameter is the input array(s). The return type will always be an inexact (i.e. floating point) scalar type, even if all the arrays are integer arrays. If one of ... Read More

The numpy.can_cast() method returns True if array scalar and data type can occur according to the casting rule. The 1st parameter is the scalar or data type or array to cast from. The 2nd parameter is the data type to cast to.StepsAt first, import the required library −import numpy as ... Read More

To convert an array of datetimes into an array of strings, use the numpy.datetime_as_string() method in Python Numpy. The method returns an array of strings the same shape as the input array. The first parameter is the array of UTC timestamps to format.The second parameter is the "timezone", the Timezone ... Read More

To return the base 2 logarithm of the input array, use the numpy.log2() method in Python Numpy The method returns Base-2 logarithm of x. This is a scalar if x is a scalar. The 1st parameter, x is the input value, array-like. The 2nd parameter is out, a location into ... Read More

To determine common type following standard coercion rules, use the numpy.find_common_type() method in Python numpy. The 1st argument is a list of dtypes or dtype convertible objects representing arrays. The 2nd argument is A list of dtypes or dtype convertible objects representing scalars.The find_common_type() method returns the common data type, ... Read More

To return the base 2 logarithm of the input array, use the numpy.log2() method in Python Numpy The method returns Base-2 logarithm of x. This is a scalar if x is a scalar. The 1st parameter, x is the input value, array-like. The 2nd parameter is out, a location into ... Read More

The natural logarithm log is the inverse of the exponential function, so that log(exp(x)) = x. The natural logarithm is logarithm in base e. The method returns the natural logarithm of x, element-wise. This is a scalar if x is a scalar. The 1st parameter is the input value, array-like. ... Read More

To convert an array of datetimes into an array of strings, use the numpy.datetime_as_string() method in Python Numpy. The method returns an array of strings the same shape as the input array. The first parameter is the array of UTC timestamps to format. The second parameter is the "timezone", the ... Read More

To convert an array of datetimes into an array of strings, use the numpy.datetime_as_string() method in Python Numpy. The method returns an array of strings the same shape as the input array. The first parameter is the array of UTC timestamps to formatStepsAt first, import the required library −import numpy ... Read More