# Numpy MaskedArray.flatten() function | Python

`numpy.MaskedArray.flatten() ` function is used to return a copy of the input masked array collapsed into one dimension.

Syntax : `numpy.ma.flatten(order='C')`

Parameters:
order : [‘C’, ‘F’, ‘A’, ‘K’, optional] Whether to flatten in C (row-major), Fortran (column-major) order, or preserve the C/Fortran ordering from a. The default is ‘C’.

Return : [ ndarray] A copy of the input array, flattened to one dimension.

Code #1 :

 `# Python program explaining ` `# numpy.MaskedArray.flatten() method  ` `   `  `# importing numpy as geek   ` `# and numpy.ma module as ma  ` `import` `numpy as geek  ` `import` `numpy.ma as ma  ` `   `  `# creating input array of 2 * 2   ` `in_arr ``=` `geek.array([[``10``, ``20``], [``-``10``, ``40``]])  ` `print` `(``"Input array : "``, in_arr)  ` `   `  `# Now we are creating a masked array  ` `# by making one entry as invalid.   ` `mask_arr ``=` `ma.masked_array(in_arr, mask ``=``[[ ``1``, ``0``], [ ``0``, ``0``]])  ` `print` `(``"Masked array : "``, mask_arr)  ` `   `  `# applying MaskedArray.flatten methods to make   ` `# it a 1D flattened array ` `out_arr ``=` `mask_arr.flatten()  ` `print` `(``"Output flattened masked array : "``, out_arr)  `

Output:

```Input array :  [[ 10  20]
[-10  40]]
[-10 40]]
Output flattened masked array :  [-- 20 -10 40]
```

Code #2 :

 `# Python program explaining ` `# numpy.MaskedArray.flatten() method  ` `   `  `# importing numpy as geek   ` `# and numpy.ma module as ma  ` `import` `numpy as geek  ` `import` `numpy.ma as ma  ` `   `  `# creating input array  ` `in_arr ``=` `geek.array([[[ ``2e8``, ``3e``-``5``]], [[ ``-``4e``-``6``, ``2e5``]]]) ` `print` `(``"Input array : "``, in_arr)  ` `   `  `# Now we are creating a masked array  ` `# by making one entry as invalid.   ` `mask_arr ``=` `ma.masked_array(in_arr, mask ``=``[[[ ``1``, ``0``]], [[ ``0``, ``0``]]])  ` `print` `(``"Masked array : "``, mask_arr)  ` `   `  `# applying MaskedArray.flatten methods to make   ` `# it a 1D masked array ` `out_arr ``=` `mask_arr.flatten(order ``=``'F'``)  ` `print` `(``"Output flattened masked array : "``, out_arr) `

Output:

```Input array :  [[[ 2.e+08  3.e-05]]

[[-4.e-06  2.e+05]]]

[[-4e-06 200000.0]]]
Output flattened masked array :  [-- -4e-06 3e-05 200000.0]

```

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