numpy.common_type() function – Python Last Updated : 18 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report numpy.common_type() function return a scalar type which is common to the input arrays. Syntax : numpy.common_type(arrays) Parameters : array1, array2, .... : [ndarrays] Input arrays. Return : [dtype] Return the data type which is common to the input arrays. Code #1 : Python3 # Python program explaining # numpy.common_type() function # importing numpy as geek import numpy as geek gfg = geek.common_type(geek.arange(2, dtype = geek.float32)) print (gfg) Output : class 'numpy.float32' Code #2 : Python3 # Python program explaining # numpy.common_type() function # importing numpy as geek import numpy as geek gfg = geek.common_type(geek.arange(2, dtype = geek.float32), geek.arange(2)) print (gfg) Output : class 'numpy.float64' Comment More infoAdvertise with us Next Article numpy.common_type() function – Python S sanjoy_62 Follow Improve Article Tags : Python Python-numpy Practice Tags : python Similar Reads numpy.find_common_type() function - Python numpy.find_common_type() function determine common type following standard coercion rules. Syntax : numpy.find_common_type(array_types, scalar_types) Parameters : array_types : [sequence] A list of dtypes or dtype convertible objects representing arrays. scalar_types : [sequence] A list of dtypes or 1 min read numpy.typename() function â Python numpy.typename() function return a description for the given data type code. Syntax : numpy.typename(char) Parameters : char : [str] Data type code. Return : [str] Description of the input data type code. Code #1 : Python3 # Python program explaining # numpy.typename() function # importing numpy as 2 min read Python most_common() Function most_common() function is a method provided by the Counter class in Python's collections module. It returns a list of the n most common elements and their counts from a collection, sorted by frequency. Example:Pythonfrom collections import Counter a = ['apple', 'banana', 'apple', 'orange', 'banana', 2 min read numpy.result_type() function â Python numpy.result_type() function returns the type that results from applying the NumPy type promotion rules to the arguments. NumPy type promotion by example : Suppose calculating 3*arr, where arr is an array of 32-bit floats, intuitively should result in a 32-bit float output. If the 3 is a 32-bit inte 1 min read type() function in Python The type() function is mostly used for debugging purposes. Two different types of arguments can be passed to type() function, single and three arguments. If a single argument type(obj) is passed, it returns the type of the given object. If three argument types (object, bases, dict) are passed, it re 5 min read Like