Am 30.06.16 um 17:49 schrieb Heli:
Dear all,
After a few tests, I think I will need to correct a bit my question. I will
give an example here.
I have file 1 with 250 lines:
X1,Y1,Z1
X2,Y2,Z2
Then I have file 2 with 3M lines:
X1,Y1,Z1,value11,value12, value13,
X2,Y2,Z2,value21,value22
Dear all,
After a few tests, I think I will need to correct a bit my question. I will
give an example here.
I have file 1 with 250 lines:
X1,Y1,Z1
X2,Y2,Z2
Then I have file 2 with 3M lines:
X1,Y1,Z1,value11,value12, value13,
X2,Y2,Z2,value21,value22, value23,...
I will need to
On Tue, Jun 28, 2016 at 8:45 AM, Heli wrote:
> Hi,
>
> I need to read a file in to a 2d numpy array containing many number of lines.
> I was wondering what is the fastest way to do this?
>
> Is even reading the file in to numpy array the best method or there are
> better approaches?
>
numpy.genf
On Tue, Jun 28, 2016 at 10:08 AM Hedieh Ebrahimi wrote:
> File 1 has :
> x1,y1,z1
> x2,y2,z2
>
>
> and file2 has :
> x1,y1,z1,value1
> x2,y2,z2,value2
> x3,y3,z3,value3
> ...
>
> I need to read the coordinates from file 1 and then interpolate a value
> for these coordinates on file 2 to the
On Tue, Jun 28, 2016 at 9:51 AM Heli wrote:
> Is even reading the file in to numpy array the best method or there are
> better approaches?
>
What are you trying to accomplish?
Summary statistics, data transformation, analysis...?
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Hi,
I need to read a file in to a 2d numpy array containing many number of lines.
I was wondering what is the fastest way to do this?
Is even reading the file in to numpy array the best method or there are better
approaches?
Thanks for your suggestions,
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