Python | Numpy np.flatiter() method Last Updated : 03 Nov, 2019 Comments Improve Suggest changes Like Article Like Report With the help of np.flatiter() method, we can get the flat iterator with the help of np.flatiter() method. Syntax : np.flatiter() Return : Return the flat iterator. Example #1 : In this example we can see that by using np.flatiter() method, we are able to get the flat iterator using this method. Python3 1=1 # import numpy import numpy as np # using np.flatiter() method a = np.array([6, 5, 4, 3, 2, 1]) gfg = a.flat for items in gfg: print(items) Output : 6 5 4 3 2 1 Example #2 : Python3 1=1 # import numpy import numpy as np # using np.flatiter() method a = np.array(['geeks', 'for', 'geeks']) gfg = a.flat for items in gfg: print(items) Output : geeks for geeks Comment More infoAdvertise with us Next Article Python | Numpy np.flatiter() method J Jitender_1998 Follow Improve Article Tags : Technical Scripter Python Python-numpy Python numpy-arrayManipulation Practice Tags : python Similar Reads Python | Numpy np.hermezero() method With the help of np.hermezero() method, we can use hermezero instead of np.zeros() by using np.hermezero() method. Syntax : np.hermezero Return : Return the array of zeros. Example #1 : In this example we can see that by using np.hermezero() method, we are able to get the functionality of np.zeros a 1 min read 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. Return : ndarray Output array, containing the indices of the elements of arr.ravel() that are non-zero. Code #1 : Wor 1 min read numpy.fromiter() function – Python NumPy's fromiter() function is a handy tool for creating a NumPy array from an iterable object. This iterable can be any Python object that provides elements one at a time. The function is especially useful when you need to convert data from a custom data source, like a file or generator, into a Num 2 min read Numpy MaskedArray.filled() method - Python numpy.MaskedArray.filled() function return a copy of self, with masked values filled with a given value. However, if there are no masked values to fill, self will be returned instead as an ndarray. Syntax : numpy.MaskedArray.filled(self, fill_value = None) Parameters : fill_value : [scalar, optional 2 min read numpy.around() in Python The numpy.around() returns a new array with each element rounded to the given number of decimals. It is similar to numpy.round() function and supports various rounding options including rounding to integers or decimal places or even rounding to tens, hundreds and so forth.Pythonimport numpy as np a 2 min read numpy.ndarray.flat() in Python 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 i 3 min read Numpy ndarray.flatten() function in Python The flatten() function is used to convert a multi-dimensional NumPy array into a one-dimensional array. It creates a new copy of the data so that original array stays unchanged. If your array has rows and columns or even more dimensions, then flatten() line up every single value into a straight list 3 min read numpy.fix() in Python The numpy.fix() is a mathematical function that rounds elements of the array to the nearest integer towards zero. The rounded values are returned as floats. Syntax : numpy.fix(a, b = None) Parameters : a : [array_like] Input array to be floated. b : [ndarray, optional] Output array. Return : The arr 2 min read numpy.argmin() in Python The numpy.argmin() method returns indices of the min element of the array in a particular axis. Syntax : numpy.argmin(array, axis = None, out = None) Parameters : array : Input array to work on axis : [int, optional]Along a specified axis like 0 or 1 out : [array optional]Provides a feature to inser 2 min read Numpy recarray.flatten() 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 Like