numpy.ma.append() function | Python

numpy.ma.filled() function - Python

Last Updated : 05 May, 2020

numpy.ma.filled() function return input as an array with masked data replaced by a fill value. If arr is not a MaskedArray, arr itself is returned. If arr is a MaskedArray and fill_value is None, fill_value is set to arr.fill_value.

Syntax : numpy.ma.filled(arr, fill_value = None) Parameters : arr : [MaskedArray or array_like] An input object. fill_value : [scalar, optional] Filling value. Default is None. Return : [ndarray] The filled array.

Code #1 :

Python3

# Python program explaining
# numpy.ma.filled() function
  
# importing numpy as geek   
# and numpy.ma module as ma  
import numpy as geek  
import numpy.ma as ma
 
arr = geek.ma.array(geek.arange(4).reshape(2, 2),
                         mask =[[1, 0], [0, 1]])

gfg = arr.filled()

print (gfg)

Output :

[[999999      1]
 [     2 999999]]

Code #2 :

Python3

# Python program explaining
# numpy.ma.filled() function
  
# importing numpy as geek   
# and numpy.ma module as ma  
import numpy as geek  
import numpy.ma as ma
 
arr = geek.ma.array(geek.arange(9).reshape(3, 3), 
          mask =[[1, 0, 0], [1, 0, 0], [0, 0, 0]])

gfg = arr.filled()

print (gfg)

Output :

[[999999      1      2]
 [999999      4      5]
 [     6      7      8]]

numpy.ma.append() function | Python

sanjoy_62

Improve

Article Tags :

Practice Tags :

Similar Reads

numpy.ma.allclose() function - Python

numpy.ma.allclose() function returns True if two arrays are element-wise equal within a tolerance. This function is equivalent to allclose except that masked values are treated as equal (default) or unequal, depending on the masked_equal argument. Syntax : numpy.ma.allclose(a, b, masked_equal = True

numpy.ma.append() function | Python

numpy.ma.append() function append the values to the end of an array. Syntax : numpy.ma.append(arr1, arr2, axis = None) Parameters : arr1 : [array_like] Values are appended to a copy of this array. arr2 : [array_like] Values are appended to a copy of this array. If axis is not specified, arr2 can be

numpy.ma.choose() function - Python

numpy.ma.choose() function use an index array to construct a new array from a set of choices. Given an array of integers and a set of n choice arrays, this method will create a new array that merges each of the choice arrays. Where arr value in arr is i, the new array will have the value that choice

numpy.ma.masked_all() function | Python

numpy.ma.masked_all() function return an empty masked array of the given shape and dtype, where all the data are masked. Syntax : numpy.ma.masked_all(shape, dtype) Parameter : shape : [tuple] Shape of the required MaskedArray. dtype : [dtype, optional] Data type of the output. Return : [MaskedArray]

numpy.matrix.A() function - Python

numpy.matrix.A() function return self as an ndarray object. Syntax : numpy.matrix.A() Parameters : None Return : [ndarray] Return self as an ndarray. Code #1 : Python3 # Python program explaining # numpy.matrix.A() function # importing numpy as geek import numpy as geek mat = geek.matrix(geek.arange

numpy.ma.ediff1d() function in Python

numpy.ma.ediff1d() function return the differences between consecutive elements of an array. Syntax : numpy.ma.ediff1d(arr, to_end = None, to_begin = None)Â Parameters :Â arr : [array_like] Input array.Â to_end : [array_like, optional] Number to append at the end of the returned differences.Â to_begin

numpy.ma.fix_invalid() function | Python

numpy.ma.fix_invalid() function return input with invalid data masked and replaced by a fill value. Where invalid data means values of nan, inf, etc. Syntax : numpy.ma.fix_invalid(arr, mask = False, copy = True, fill_value = None) Parameter : arr : [array_like] Input array. mask : [sequence, optiona

numpy.ma.mask_cols() function | Python

In thisnumpy.ma.mask_cols() function, mask columns of a 2D array that contain masked values. This function is a shortcut to mask_rowcols with axis equal to 1. Syntax : numpy.ma.mask_cols(arr, axis = None) Parameters : arr : [array_like, MaskedArray] The array to mask. axis : [int, optional] Axis alo

numpy.matlib.empty() function | Python

numpy.matlib.empty() function return a new matrix of given shape and type, without initializing entries. Syntax : numpy.matlib.empty(shape, dtype = None, order = 'C') Parameters : shape : [int or tuple of int] Shape of the empty matrix. dtype : [data-type, optional] Desired output data-type. order :

numpy.ma.where() function - Python

numpy.ma.where() function return a masked array with elements from x or y, depending on condition. Syntax : numpy.ma.where(condition, x, y) Parameter : condition : [array_like, bool] Where True, yield x, otherwise yield y. x, y : [array_like, optional] Values from which to choose. x, y and condition