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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