Astrolabe1993 - 6 months ago 17x

Python Question

I get a little problem with a simple idea. I have an array of data and I would like to replace each value if the value is greater than X.

To solve that, I wrote a little script as example which give the same idea :

`import numpy as np`

# Array creation

array = np.array([0.5, 0.6, 0.9825])

print array

# If value > 0.7 replace by 0.

new_array = array[array > 0.7] == 0

print new_array

I would like to obtain :

`>>> [0.5, 0.6, 0] # 0.9825 is replaced by 0 because > 0.7`

Thank you if you could me help ;)

I didn't find How this subject could help me : Replace all elements of Python NumPy Array that are greater than some value

The answer given by @ColonelBeauvel is not noticed in the previous post.

Answer

I wonder why this solution is not provided in the link @DonkeyKong provided:

```
np.where(arr>0.7, 0, arr)
#Out[282]: array([ 0.5, 0.6, 0. ])
```

Source (Stackoverflow)

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