  # Numpy MaskedArray.all () Function | python

NumPy | Python Methods and Functions

`numpy.MaskedArray.all()` returns True if all elements are True.

Syntax: ` MaskedArray.all (axis = None, out = None, keepdims) `

Parameters:
axis: [int or None] Axis or axes along which a logical AND reduction is performed.
out: [ndarray, optional] A location into which the result is stored.
- & gt; If provided, it must have a shape that the inputs broadcast to.
- & gt; If not provided or None, a freshly-allocated array is returned.
keepdims: [bool, optional] If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array.

Return: [ndarray, bool] A new boolean or array is returned unless out is specified, in which case a reference to out is returned.

Code # 1:

 ` # Python program explaining ` ` # numpy.MaskedArray.all () method ` `   # import numy as geek # and numpy.ma module as ma `` import numpy as geek import numpy.ma as ma   # create input array in_arr  = geek.array ([ 1 , 2 , 3 , - 1 , 5 ]) print ( "Input array:" , in_arr)     # applying MaskedArray methods. all to enter an array out_arr = in_arr . all () print ( "Output array: " , out_arr)      # Now we create a masked array # make a third entry invalid. mask_arr = ma.masked_array (in_arr, mask = [ 0 , 0 , 1 , 0 , 0 ]) print ( "Masked array:" , mask_arr)   # using MaskedArray.all methods to mask the array out_arr = mask_arr. all () print ( "Output array:" , out_arr) `

Exit:

` Input array: [1 2 3 -1 5] Output array: True Masked array: [1 2 - -1 5] Output array: True `

Code # 2:

` `

` # Python program explaining # numpy.MaskedArray.all ( ) method   # import numy as a geek # and the numpy.m module a how ma import numpy as geek import numpy.ma as ma   # create input array in_arr = geek.array ([ 1 , 2 , 3 , - 1 , 5 ]) print ( "Input array:" , in_arr)   # Now we create a masked array < br /> # invalidate the entire post. mask_arr = ma.masked_array (in_arr, mask = [ 1 , 1 , 1 , 1 , 1 ]) print ( "Masked array:" , mask_arr)   # using MaskedArray.all methods to mask the array out_arr = mask_arr. all () print ( " Output array: " , out_arr) `

` ` Output :

` Input array: [1 2 3 -1 5] Masked array: [- - - - -] Output array: - - `