How to delete specific values from numpy ndarray

Question

I have a numpy ndarray that looks like:

[[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[225 224 228],
[163 164 174],
[205 212 229],
[116 130 153],
[ 81 101 132],
[ 34  56  92],
[  2  16  35],
[ 33  44  64],
[ 38  49  71],
[ 63  75  99],
[ 76  88 116],
[ 45  62  95],
[ 29  50  88],
[ 18  40  82],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0]]

I want to delete all the zero elements i.e. [0,0,0]. How can I do this?

Possible duplicate of How do I remove rows from a numpy array based on multiple conditions? — languitar
– languitar, Commented Mar 2, 2017 at 14:07

ZdaR · Accepted Answer · 2017-03-02 14:13:12Z

11

You can use np.delete() and np.where() to get the elements where the condition is satisfied as :

del_arr = np.delete(arr, np.where(arr == [0, 0, 0]), axis=0)
print del_arr

answered Mar 2, 2017 at 14:13

ZdaR

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Comments

AddyB · Accepted Answer · 2017-03-02 14:12:17Z

Try this:

import numpy as np

array = np.array([  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[225 224 228],
[163 164 174],
[205 212 229],
[116 130 153],
[ 81 101 132],
[ 34  56  92],
[  2  16  35],
[ 33  44  64],
[ 38  49  71],
[ 63  75  99],
[ 76  88 116],
[ 45  62  95],
[ 29  50  88],
[ 18  40  82],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0],
[  0   0   0])


zeros = np.all(np.equal(a, 0), axis=1)
array[~zeros]

languitar · Accepted Answer · 2017-03-02 14:13:25Z

0

data[(data[:,1] & data[:, 2] & data[:, 0]).astype(bool)]

answered Mar 2, 2017 at 14:13

languitar

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