## numpy.partition() in Python

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… Read More »

## numpy.argpartition() in Python

numpy.argpartition() function is used to create a indirect partitioned copy of input array with its elements rearranged in such a way that the value of… Read More »

## numpy.argsort() in Python

numpy.argsort() function is used to perform an indirect sort along the given axis using the algorithm specified by the kind keyword. It returns an array… Read More »

## numpy.argwhere() in Python

numpy.argwhere() function is used to find the indices of array elements that are non-zero, grouped by element. Syntax : numpy.argwhere(arr) Parameters : arr : [array_like]… Read More »

## numpy.sort_complex() in Python

numpy.sort_complex() function is used to sort a complex array.It sorts the array by using the real part first, then the imaginary part. Syntax : numpy.sort_complex(arr)… Read More »

## numpy.searchsorted() in Python

numpy.searchsorted() function is used to find the indices into a sorted array arr such that, if elements are inserted before the indices, the order of… Read More »

## numpy.flatnonzero() in Python

numpy.flatnonzero()function is used to Compute indices that are non-zero in the flattened version of arr. Syntax : numpy.flatnonzero(arr) Parameters : arr : [array_like] Input array.… Read More »

## numpy.sort() in Python

numpy.sort() : This function returns a sorted copy of an array. Parameters : arr : Array to be sorted. axis : Axis along which we… Read More »

## a.sort(), sorted(a), np.argsort(a) and np.lexsort(b, a) in Python

These are all different types for sorting techniques that behave very differently. Let’s study which technique works how and which one to use. Let ‘a’… Read More »

## numpy.nanargmin() in Python

numpy.nanargmin(array, axis = None) : Returns indices of the min element of the array in a particular axis ignoring NaNs. The results cannot be trusted… Read More »

## numpy.nanargmax() in Python

numpy.nanargmax(array, axis = None) : Returns indices of the max element of the array in a particular axis ignoring NaNs. The results cannot be trusted… Read More »

## numpy.argmax() in Python

numpy.argmax(array, axis = None, out = None) : Returns indices of the max element of the array in a particular axis. Parameters : array :… Read More »

## numpy.argmin() in Python

numpy.argmin(array, axis = None, out = None) : Returns indices of the min element of the array in a particular axis. Parameters : array :… Read More »

## numpy.extract() in Python

numpy.extract(condition, array) : Return elements of input_array if they satisfy some specified condition. Parameters : array : Input array. User apply conditions on input_array elements… Read More »