numpy.find_common_type() function - Python Last Updated : 18 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report 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 dtype convertible objects representing scalars. Return : [dtype] 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. Code #1 : Python3 # Python program explaining # numpy.find_common_type() function # importing numpy as geek import numpy as geek gfg = geek.find_common_type([geek.float32], [geek.int64, geek.float64]) print (gfg) Output : float32 Code #2 : Python3 # Python program explaining # numpy.find_common_type() function # importing numpy as geek import numpy as geek gfg = geek.find_common_type([geek.float32], [complex]) print (gfg) Output : complex128 Comment More infoAdvertise with us Next Article numpy.find_common_type() function - Python S sanjoy_62 Follow Improve Article Tags : Python Python-numpy Practice Tags : python Similar Reads numpy.common_type() function – Python 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 explain 1 min read numpy.typename() function – 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 numpy.dtype.subdtype() function – Python numpy.dtype.subdtype() function returns Tuple(item_dtype, shape) if this dtype describes a sub-array, and None otherwise. Syntax : numpy.dtype.subdtype(type) type : [dtype] The input data-type. Return : Return Tuple(item_dtype, shape) if this dtype describes a sub-array, and None otherwise. Code #1 1 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 – 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 Like