NumPy | Python Methods and Functions

** numpy.MaskedArray.transpose() ** is used to resize the masked array.

Syntax:`numpy.ma.transpose(axis)`

Parameters:

axis:[list of ints, optional ] By default, reverse the dimensions, otherwise permute the axes according to the values given.

Return:[ndarray] Resultant array with its axes permuted ..

Code # 1:

`# Python program explaining`

`# numpy.MaskedArray.transpose () method`

`# importing numy as a geek`

`# and the numpy.ma module as a ma`

`import`

`numpy as geek`

`import`

`numpy.ma as ma`

`# create input array`

`in_arr`

`=`

`geek.array ([[`

`1`

`,`

`2`

`], [`

`3`

`,`

`-`

`1`

`], [`

`5`

`,`

`-`

`3`

`]])`

`(`

`"Input array:"`

`, in_arr)`

`# Now we create a masked mac siv.`

`# invalidating the post.`

`mask_arr`

`=`

`ma.masked_array (in_arr, mask`

`=`

`[[`

`1`

`,`

`0`

`], [`

`0`

`,`

`1`

`], [`

`0`

`,`

`0`

`]])`

`(`

`"Masked array:"`

`, mask_arr)`

`# applying the MaskedArray.transpose methods`

`# into the masked array`

`out_arr`

`=`

`mask_arr.transpose ()`

`(`

`"Output transposed masked array:"`

`, out_arr)`

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

Code # 2:

`# Python program explaining`

`# numpy.MaskedArray.transpose () method`

`# import numy as a geek`

`# and the numpy.ma module as a ma`

`import`

`numpy as geek`

`import`

`numpy.ma as ma`

`# create input array`

`in_arr`

`=`

`geek.array ([[[`

`2e8`

`,`

`3e`

`-`

`5`

`]], [[`

`-`

`45.0`

`,`

`2e5`

`]]])`

`(`

`"Input array:"`

`, in_arr)`

`# Now we create a masked array.`

`# invalidating one entry.`

`mask_arr`

`=`

`ma.masked_array (in_arr, mask`

`=`

`[[[`

`1`

`,`

`0`

`]], [[`

`0`

`,`

`0`

`]]])`

`(`

`"3D Masked array:"`

`, mask_arr)`

`# applying MaskedArray.transpose methods`

`# to masked array`

`out_arr`

`=`

`mask_arr.transpose ( )`

`(`

`"Output transposed masked array: "`

`, out_arr)`

Output:Input array: [[[2.0e + 08 3.0e-05]] [[-4.5e + 01 2.0e + 05]]] 3D Masked array: [[[- 3e- 05]] [[-45.0 200000.0]]] Output transposed masked array: [[[- -45.0]] [[3e-05 200000.0]]]

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