On 2020-09-12 16:55, Stefan Du Rietz wrote:
On 2020-09-12 00:06, Stefan Du Rietz wrote:
On 2020-09-11 19:32, Samuel Gougeon wrote:
Le 11/09/2020 à 16:51, Stefan Du Rietz a écrit :
Hello Samuel,
read() never works OK with m = -1, see your own comment in Bug 15075!
This prevented me from
On 2020-09-12 00:06, Stefan Du Rietz wrote:
On 2020-09-11 19:32, Samuel Gougeon wrote:
Le 11/09/2020 à 16:51, Stefan Du Rietz a écrit :
Hello Samuel,
read() never works OK with m = -1, see your own comment in Bug 15075!
This prevented me from upgrading to Scilab 6 until I found out how to
Good evening everyone,
I appreciate everyone's availability. Great solutions!
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On 2020-09-11 19:32, Samuel Gougeon wrote:
Le 11/09/2020 à 16:51, Stefan Du Rietz a écrit :
Hello Samuel,
read() never works OK with m = -1, see your own comment in Bug 15075!
This prevented me from upgrading to Scilab 6 until I found out how to
do it with fscanfMat(). But then I had to
Le 11/09/2020 à 16:51, Stefan Du Rietz a écrit :
Hello Samuel,
read() never works OK with m = -1, see your own comment in Bug 15075!
This prevented me from upgrading to Scilab 6 until I found out how to
do it with fscanfMat(). But then I had to remove all blank lines in my
files (which I had
Please replace my latest e-mail with this.
Hello Samuel,
read() never works OK with m = -1, see your own comment in Bug 15075!
This prevented me from upgrading to Scilab 6 until I found out how to do
it with fscanfMat(). But then I had to remove all blank lines in my
files (which I had to
Hello Samuel,
read() never works OK with m = -1, see your own comment in Bug 15075!
This prevented me from upgrading to Scilab 6 until I found out how to do
it with fscanfMat(). But then I had to remove all blank lines in my
files (which I had to quickly find different parts of my data).
Hello Daniel,
In addition to Antoine simple and efficient solution, the following
works as well (and may be a bit faster for big files. To be confirmed):
File = "output.txt";
m = read(File,-1, size(evstr(mgetl(File,1)),2));
Regards
Le 10/09/2020 à 00:03, Daniel Stringari a écrit :
Good
The main problem I ran into with csvRead was reading files with a
variable number of separators in each row. Then my suggested solution
pads with 0. It could be changed to pad with NaN also.
Using strsplit in each row allows for several separators in the same
conversion. It may still be
I think csvRead is just fine.
[data header] = csvRead(fname, ' ', '.', 'string', [], [], [], 0);
As you may notice the data Matrix contains a lot of empty columns.
This is due to the many white spaces in the text file
anyways, after reading the dta in you may use evstr() to convert into
Hi Daniel
I made my own csvread, it seems to read your file OK with
exec('JcsvRead3.sce', -1);
M=JcsvRead3('output.txt',' ');
Brgds
Jan
On 2020-09-10 0:03 AM, Daniel Stringari wrote:
Good evening everyone,
I'm integrating scilab with other software, so I need to read an output file
Hello Daniel,
Do you have try with "evstr" function ?
data = evstr(mgetl("output.txt"));
Regards,
Antoine
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Good evening everyone,
I'm integrating scilab with other software, so I need to read an output file
(.txt), like the one attached (output).
It is worth mentioning that this file does not always have the same
dimensions (matrix), so I am trying to find something robust that can deal
with this
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