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 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 3rd parameter is where, the ... 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, which is the maximum of array_types ignoring scalar_types, unless the maximum of scalar_types is of a different kind (dtype.kind). If the kind is not understood, then None is returned.StepsAt first, import the required library −import numpy as npUsing the find_common_type() method in Numpy. Determine common type following standard coercion rules ... 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 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 must have length equal to the number of outputs.The 3rd parameter is where, the condition is broadcast over the input. At ... 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. The 2nd parameter is out, 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 ... 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 information to use when displaying the datetime. If ‘UTC’, end with a Z to indicate UTC time.StepsAt first, import the required library −import numpy as npCreate an array of datetime. The 'M' type specifies datetime −arr = np.arange('2022-02-20T03:25', 6*60, 60, dtype='M8[m]')Displaying our array −print("Array...", arr)Get the datatype −print("Array datatype...", ... 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 as npCreate an array of datetime. The 'M' type specifies datetime −arr = np.arange('2022-02-20T02:10', 6*60, 60, dtype='M8[m]')Displaying our array −print("Array...", arr)Get the datatype −print("Array datatype...", arr.dtype) Get the dimensions of the Array −print("Array Dimensions...", arr.ndim)Get the shape of the Array −print("Our Array Shape...", arr.shape)Get the number of elements of the ... Read More

To return the length of a string array element-wise, use the numpy.char.str_len() method in Python Numpy. The method returns an output array of integers.StepsAt first, import the required library −import numpy as npCreate a One-Dimensional array of strings −arr = np.array(['Amy', 'Scarlett', 'Katie', 'Brad', 'Tom'])Displaying our array −print("Array...", arr)Get the datatype −print("Array datatype...", arr.dtype) Get the dimensions of the Array −print("Array Dimensions...", arr.ndim)Get the shape of the Array −print("Our Array Shape...", arr.shape)Get the number of elements of the Array −print("Number of elements in the Array...", arr.size)To return the length of a string array element-wise, use the numpy.char.str_len() method −print("Result (length ... Read More

Return the highest index in the string where substring sub is found using the numpy.char.rindex() method in Python Numpy. The method returns the output array of ints. Raises ValueError if sub is not found. The first parameter is the input array. The second parameter is the substring to be searched. The third and fourth parameter are optional arguments, wherein start and end are interpreted as in slice notation.StepsAt first, import the required library −import numpy as npCreate a One-Dimensional array of strings −arr = np.array(['KATIE', 'KATE', 'BRATleukATp'])Displaying our array −print("Array...", arr)Get the datatype −print("Array datatype...", arr.dtype) Get the dimensions of ... Read More

To return the highest index in the string where substring sub is found, use the numpy.char.rfind() method in Python Numpy. The method returns the output array of ints. Returns -1 if sub is not found.The first parameter is the input array. The second parameter is the substring to be searched. The third and fourth parameter are optional arguments, wherein start and end are interpreted as in slice notation.StepsAt first, import the required library −import numpy as npCreate a One-Dimensional array of strings −arr = np.array(['KATIE', 'JOHN', 'AmY', 'BRATleuATp'])Displaying our array −print("Array...", arr)Get the datatype −print("Array datatype...", arr.dtype) Get the dimensions ... Read More

To return the highest index in the string where substring sub is found, use the numpy.char.rfind() method in Python Numpy. The method returns the output array of ints. Returns -1 if sub is not found. The first parameter is the input array. The second parameter is the substring to be searchedStepsAt first, import the required library −import numpy as npCreate a One-Dimensional array of strings −arr = np.array(['KATIE', 'JOHN', 'AmY', 'BRATleuATp'])Displaying our array −print("Array...", arr)Get the datatype −print("Array datatype...", arr.dtype) Get the dimensions of the Array −print("Array Dimensions...", arr.ndim)Get the shape of the Array −print("Our Array Shape...", arr.shape)Get the number ... Read More