# Removal of data /indices values(range) from a tensor tensorflow

## Issue

Consider the following tensor

``````params = tf.constant([
1.3, 7, 1, 0.5, -2,
3, -0.033, 0.9, -6.3, 4.1,
9, 5, 0.25, -6, 0.2])

params
``````

The output of the above tensor is

``````<tf.Tensor: shape=(15,), dtype=float32, numpy=
array([ 1.3  ,  7.   ,  1.   ,  0.5  , -2.   ,  3.   , -0.033,  0.9  ,
-6.3  ,  4.1  ,  9.   ,  5.   ,  0.25 , -6.   ,  0.2  ],
dtype=float32)>
``````

Now I want to remove, lets say the first value , i.e., 1.3, remove values from indices starting from 4 to 6 and from value 0.25 onwards [12:]
The output shall be

``````<tf.Tensor: shape=(8,), dtype=float32, numpy=
array([  7.   ,  1.   ,  0.5  ,   0.9  ,
-6.3  ,  4.1  ,  9.   ,  5.],
dtype=float32)>
``````

Can it be done?

## Solution

Sure, have a look at tensor slicing. In your case it would be:

``````import tensorflow as tf

params = tf.constant([
1.3, 7, 1, 0.5, -2,
3, -0.033, 0.9, -6.3, 4.1,
9, 5, 0.25, -6, 0.2])

out = tf.concat([params[1:4], params[7:12]], 0)

print(out)
``````

Output:

``````tf.Tensor([ 7.   1.   0.5  0.9 -6.3  4.1  9.   5. ], shape=(8,), dtype=float32)
``````