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# Python – Numpy Array Column Deletion

• Last Updated : 27 Feb, 2020

Given a numpy array, write a programme to delete columns from numpy array.

Examples –

```Input: [['akshat', 'nikhil'], ['manjeeet', 'akash']]
Output:  [['akshat']['manjeeet']]

Input:  [[1, 0, 0, 1, 0], [0, 1, 2, 1, 1]]
Output:  [[1 0 1 0][0 2 1 1]]
```

Given below are various methods to delete columns from numpy array.

Method #1: Using np.delete()

 `# Python code to demonstrate``# deletion of columns from numpy array`` ` `import` `numpy as np`` ` `# initialising numpy array``ini_array ``=` `np.array([[``1``, ``0``, ``0``, ``1``, ``0``],``                        ``[``0``, ``1``, ``2``, ``1``, ``1``]])``                         ` ` ` `# deleting second column from array``result ``=` `np.delete(ini_array, ``1``, ``1``)`` ` `# print result``print` `(``"Resultant Array :"``+``str``(result))`

Output:

```Resultant Array :[[1 0 1 0]
[0 2 1 1]]
```

Method #2: Using compress() and logical_not()

 `# Python code to demonstrate``# deletion of columns from numpy array`` ` `import` `numpy as np`` ` `# initialising numpy array``ini_array ``=` `np.array([[``1``, ``0``, ``0``, ``1``, ``0``], [``1``, ``2``, ``0``, ``0``, ``1``]])``z ``=` `[``False``, ``True``, ``False``, ``False``, ``False``]``                         ` ` ` `# deleting second column from array``result ``=` `ini_array.compress(np.logical_not(z), axis ``=` `1``)`` ` `# print result``print` `(``"Resultant Array :"``+``str``(result))`

Output:

```Resultant Array :[[1 0 1 0]
[1 0 0 1]]
```

Method #3: Using logical_not()

 `# Python code to demonstrate``# deletion of columns from numpy array`` ` `import` `numpy as np`` ` `# initialising numpy array``ini_array ``=` `np.array([[``1``, ``0``, ``0``, ``1``, ``0``], [``1``, ``2``, ``0``, ``0``, ``1``]])``z ``=` `[``False``, ``True``, ``False``, ``False``, ``False``]``                         ` ` ` `# deleting second column from array``result ``=` `ini_array[:, np.logical_not(z)]`` ` `# print result``print` `(``"Resultant Array :"``+``str``(result))`

Output:

```Resultant Array :[[1 0 1 0]
[1 0 0 1]]
```

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