Hello,
I have a numpy array (2 rows 3 colums)
import numpy
a=numpy.array( [ [1,2,3] , [3,3,1] ])
I wish to add a row, this is how i do it
s=a.shape
numpy.resize(a, s[0]+1,s[1])
a[s[0]]=new row vector.
Q: Is this a costly operation? What happens if i have to it several
(and unknown) number of times?
is there a simpler way to add a row?
Thank you in advance
Saptarshi 2 23562
sapsi wrote:
Hello,
I have a numpy array (2 rows 3 colums)
import numpy
a=numpy.array( [ [1,2,3] , [3,3,1] ])
I wish to add a row, this is how i do it
s=a.shape
numpy.resize(a, s[0]+1,s[1])
a[s[0]]=new row vector.
Q: Is this a costly operation?
It can be if you have large arrays.
What happens if i have to it several
(and unknown) number of times?
is there a simpler way to add a row?
numpy.vstack([a, newrow])
Generally speaking, you shouldn't resize numpy arrays. If you need to construct
an array by appending, build up a list instead and use vstack() (or hstack() or
dstack() or column_stack() or concatenate() depending on the geometry).
We also have a numpy mailing list, which you should direct future numpy
questions to: http://www.scipy.org/Mailing_Lists

Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
 Umberto Eco
Hello,
Thank you. Yes, I will post to the numpy mailing list in future.
Regards
Saptarshi
On Jun 9, 4:04*pm, Robert Kern <robert.k...@gm ail.comwrote:
sapsi wrote:
Hello,
I have a numpy array (2 rows 3 colums)
import numpy
a=numpy.array( *[ [1,2,3] , [3,3,1] ])
I wish to add a row, this is how i do it
s=a.shape
numpy.resize(a, s[0]+1,s[1])
a[s[0]]=new row vector.
Q: Is this a costly operation?
It can be if you have large arrays.
What happens if i have to it several
(and unknown) number of times?
is there a simpler way to add a row?
numpy.vstack([a, newrow])
Generally speaking, you shouldn't resize numpy arrays. If you need to construct
an array by appending, build up a list instead and use vstack() (or hstack() or
dstack() or column_stack() or concatenate() depending on the geometry).
We also have a numpy mailing list, which you should direct future numpy
questions to:
* *http://www.scipy.org/Mailing_Lists

Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
* that is made terrible by our own mad attempt to interpret it as thoughit had
* an underlying truth."
* * Umberto Eco
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