This method is probably simpler:
In [1]: import numpy as N
In [2]: A = N.random.random_integers(-10, 10, 25).reshape((5, 5))
In [3]: A
Out[3]:
array([[ -5, 9, 1, 9, -2],
[ -8, 0, 9, 7, -10],
[ 2, -3, -1, 5, -7],
[ 0, -2, -2, 9, 1],
[ -7, -9, -4, -1, 6]])
In [4]: A[A < 0] = 0
In [5]: A
Out[5]:
array([[0, 9, 1, 9, 0],
[0, 0, 9, 7, 0],
[2, 0, 0, 5, 0],
[0, 0, 0, 9, 1],
[0, 0, 0, 0, 6]])
~Brett
On Mon, Aug 1, 2011 at 4:31 AM, dileep kunjaai <dileepkunj...@gmail.com> wrote:
> Dear sir,
> How can we fill a particular value in the place of number satisfying
> certain condition by another number in an array.
>
>
> Example:
> A=[[[ 9.42233087e-42 - 4.71116544e-42 0.00000000e+00 ...,
> 1.48303127e+01
> 1.31524124e+01 1.14745111e+01]
> [ 3.91788793e+00 1.95894396e+00 0.00000000e+00 ..., 1.78252487e+01
> 1.28667984e+01 7.90834856e+00]
> [ 7.83592510e+00 -3.91796255e+00 0.00000000e+00 ..., 2.08202991e+01
> 1.25811749e+01 4.34205008e+00]
> ...,
> [ -8.51249974e-03 7.00901222e+00 -1.40095119e+01 ...,
> 0.00000000e+00
> 0.00000000e+00 0.00000000e+00]
> [ 4.26390441e-03 3.51080871e+00 -7.01735353e+00 ..., 0.00000000e+00
> 0.00000000e+00 0.00000000e+00]
> [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ..., 0.00000000e+00
> 0.00000000e+00 0.00000000e+00]]
>
> [[ 9.42233087e-42 -4.71116544e-42 0.00000000e+00 ..., 8.48242474e+00
> 7.97146845e+00 7.46051216e+00]
> [ 5.16325808e+00 2.58162904e+00 0.00000000e+00 ..., 8.47719383e+00
> 8.28024673e+00 8.08330059e+00]
> [ 1.03267126e+01 5.16335630e+00 0.00000000e+00 ..., 8.47196198e+00
> 8.58903694e+00 8.70611191e+00]
> ...,
> [ 0.00000000e+00 2.74500012e-01 5.49000025e-01 ..., 0.00000000e+00
> 0.00000000e+00 0.00000000e+00]
> [ 0.00000000e+00 1.37496844e-01 -2.74993688e-01 ..., 0.00000000e+00
> 0.00000000e+00 0.00000000e+00]
> [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ..., 0.00000000e+00
> 0.00000000e+00 0.00000000e+00]]
>
> [[ 9.42233087e-42 4.71116544e-42 0.00000000e+00 ..., 1.18437748e+01
> 9.72778034e+00 7.61178637e+00]
> [ 2.96431869e-01 1.48215935e-01 0.00000000e+00 ..., 1.64031239e+01
> 1.32768812e+01 1.01506386e+01]
> [ 5.92875004e-01 2.96437502e-01 0.00000000e+00 ..., 2.09626484e+01
> 1.68261185e+01 1.26895866e+01]
> ...,
> [ 1.78188753e+00 -8.90943766e-01 0.00000000e+00 ..., 0.00000000e+00
> 1.27500005e-03 2.55000009e-03]
> [ 9.34620261e-01 -4.67310131e-01 0.00000000e+00 ..., 0.00000000e+00
> 6.38646539e-04 1.27729308e-03]
> [ 8.43000039e-02 4.21500020e-02 0.00000000e+00 ..., 0.00000000e+00
> 0.00000000e+00 0.00000000e+00]]]
> A contain some negative value i want to change the negative numbers to
> '0'.
> I used 'masked_where', command but I failed.
>
>
>
> Please help me
>
> --
> DILEEPKUMAR. R
> J R F, IIT DELHI
>
>
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
>
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