numpy.partition() in Python Last Updated : 28 Dec, 2018 Comments Improve Suggest changes Like Article Like Report numpy.partition() function is used to create a partitioned copy of input array with its elements rearranged in such a way that the value of the element in k-th position is in the position it would be in a sorted array. All elements smaller than the k-th element are moved before this element and all equal or greater are moved behind it. The ordering of the elements in the two partitions is undefined. Syntax : numpy.partition(arr, kth, axis=-1, kind='introselect', order=None) Parameters : arr : [array_like] Input array. kth : [int or sequence of ints ] Element index to partition by. axis : [int or None] Axis along which to sort. If None, the array is flattened before sorting. The default is -1, which sorts along the last axis. kind : Selection algorithm. Default is ‘introselect’. order : [str or list of str] When arr is an array with fields defined, this argument specifies which fields to compare first, second, etc. Return : [ndarray] Partitioned array of the same type and shape as arr. Code #1 : Python3 # Python program explaining # partition() function import numpy as geek # input array in_arr = geek.array([ 2, 0, 1, 5, 4, 9]) print ("Input array : ", in_arr) out_arr = geek.partition(in_arr, 3) print ("Output partitioned array : ", out_arr) Output: Input array : [2 0 1 5 4 9] Output partitioned array : [0 1 2 4 5 9] Code #2 : Python3 # Python program explaining # partition() function import numpy as geek # input array in_arr = geek.array([ 2, 0, 1, 5, 4, 9, 3]) print ("Input array : ", in_arr) out_arr = geek.partition(in_arr, (0, 3)) print ("Output partitioned array : ", out_arr) Output: Input array : [2 0 1 5 4 9 3] Output partitioned array : [0 1 2 3 4 9 5] Comment More infoAdvertise with us Next Article numpy.partition() in Python J jana_sayantan Follow Improve Article Tags : Python Python numpy-Sorting Searching Practice Tags : python Similar Reads numpy.packbits() in Python numpy.packbits() is another function for doing binary operations in numpy.It is used to packs the elements of a binary-valued array into bits in a uint8 array.The result is padded to full bytes by inserting zero bits at the end. Syntax : numpy.packbits(arr, axis=None) Parameters : arr : [array_like] 2 min read Numpy recarray.partition() function | Python In numpy, arrays may have a data-types containing fields, analogous to columns in a spreadsheet. An example is [(a, int), (b, float)], where each entry in the array is a pair of (int, float). Normally, these attributes are accessed using dictionary lookups such as arr['a'] and arr['b']. Record array 3 min read SymPy | Partition.next_lex() in Python Partition.next_lex() : next_lex() is a sympy Python library function that returns the next integer partition, n in lexicographical order. This ordering wraps around [n] if the partition is [1, …, 1]. Syntax : sympy.combinatorics.partitions.Partition.next_lex() Return : next integer partition, n in l 1 min read SymPy | Partition.as_dict() in Python Partition.as_dict() : as_dict() is a sympy Python library function that returns the partition as a dictionary. In this dictionary, the keys are the partition integers. The values are the multiplicity of that integer. Syntax : sympy.combinatorics.partitions.Partition.as_dict() Return : Partition as a 1 min read SymPy | Partition.prev_lex() in Python Partition.prev_lex() : prev_lex() is a sympy Python library function that returns the previous integer partition, n in lexicographical order. This ordering wraps around [n] if the partition is [1, …, 1]. Syntax : sympy.combinatorics.partitions.Partition.prev_lex()Return : previous integer partition 1 min read Like