The numpy.ndarray.flat() function is used as a 1_D iterator over N-dimensional arrays.
It is not a subclass of, Python’s built-in iterator object, otherwise it a numpy.flatiter instance.
Syntax :
numpy.ndarray.flat()
Parameters :
index : [tuple(int)] index of the values to iterate
Return :
1-D iteration of array
Code 1 : Working on 2D array
Python
# Python Program illustrating# working of ndarray.flat()import numpy as geek # Working on 1D iteration of 2D array array = geek.arange(15).reshape(3, 5)print("2D array : \n",array )# Using flat() : 1D iterator over rangeprint("\nUsing Array : ", array.flat[2:6])# Using flat() to Print 1D represented arrayprint("\n1D representation of array : \n ->", array.flat[0:15]) |
Output :
2D array : [[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14]] Using Array : [2 3 4 5] 1D representation of array : -> [ 0 1 2 ..., 12 13 14]
Code 2 : Changing the values of array
Python
# Python Program illustrating# working of ndarray.flat()import numpy as geek # Working on 1D iteration of 2D array array = geek.arange(15).reshape(3, 5)print("2D array : \n",array )# All elements set to 1array.flat = 1print("\nAll Values set to 1 : \n", array)array.flat[3:6] = 8array.flat[8:10] = 9print("Changing values in a range : \n", array) |
Output :
2D array : [[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14]] All Values set to 1 : [[1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1]] Changing values in a range : [[1 1 1 8 8] [8 1 1 9 9] [1 1 1 1 1]]
What actually numpy.flatiter is ?
A flatiter iterator is returned by x.flat for any array x. It allows iterating(in row-major manner)over N-dimensional arrays, either in a for-loop or by calling its next method.
Code 3 : Role of numpy.flatitter()
Python
# Python Program illustrating# working of ndarray.flat()import numpy as geek # Working on 1D iteration of 2D array array = geek.arange(15).reshape(3, 5)print("2D array : \n",array )print("\nID array : \n", array.flat[0:15]) print("\nType of array,flat() : ", type(array.flat))for i in array.flat: print(i, end = ' ') |
Output :
2D array : [[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14]] ID array : [ 0 1 2 ..., 12 13 14] Type of array,flat() : 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14
References :
https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.flat.html#numpy.ndarray.flat
Note :
These codes won’t run on online IDE’s. So please, run them on your systems to explore the working.
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