Re: [Matplotlib-users] Extended load function
Oups, now i have attached the file
-- Forwarded message --
From: Troels Kofoed Jacobsen [EMAIL PROTECTED]
Date: Mon, Mar 3, 2008 at 3:51 PM
Subject: Extended load function
To: matplotlib-users@lists.sourceforge.net
Hi everybody
I have modified the load function (in matplotlib.mlab) to be able to load
strings e.g for use as xticks. Anyone willing to test and comment, 'cause
when i'm done i'll send it as a patch.
The usage is as follows:
from reload import load
s,A,B=reload('data.dat',usecols=(1,2),unpack=True,string=0)
here the data file is like:
# Molecule Energy1 Energy2
Fe -831-832
Pt -923-932
It can also be used without unpack, but only one array of strings can be
extracted.
--
Med Venlig Hilsen / Best regards
Troels Kofoed Jacobsen
--
Med Venlig Hilsen
Troels Kofoed Jacobsen
reload.py
Description: application/python
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[Matplotlib-users] Extended load function
Hi everybody
I have modified the load function (in matplotlib.mlab) to be able to load
strings e.g for use as xticks. Anyone willing to test and comment, 'cause
when i'm done i'll send it as a patch.
The usage is as follows:
from reload import load
s,A,B=reload('data.dat',usecols=(1,2),unpack=True,string=0)
here the data file is like:
# Molecule Energy1 Energy2
Fe -831-832
Pt -923-932
It can also be used without unpack, but only one array of strings can be
extracted.
--
Med Venlig Hilsen / Best regards
Troels Kofoed Jacobsen
-
This SF.net email is sponsored by: Microsoft
Defy all challenges. Microsoft(R) Visual Studio 2008.
http://clk.atdmt.com/MRT/go/vse012070mrt/direct/01/___
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Re: [Matplotlib-users] Extended load function
On Mon, Mar 3, 2008 at 8:51 AM, Troels Kofoed Jacobsen
[EMAIL PROTECTED] wrote:
Hi everybody
I have modified the load function (in matplotlib.mlab) to be able to load
strings e.g for use as xticks. Anyone willing to test and comment, 'cause
when i'm done i'll send it as a patch.
The usage is as follows:
from reload import load
s,A,B=reload('data.dat',usecols=(1,2),unpack=True,string=0)
You probably want to be using matplotlib.mlab.csv2rec, which already
supports heterogeneous types (including strings and datetime). load
is meant to handle only float output, and will probably become
deprecated in favor of numpy's loadtxt. If you want to enhance load
you should concentrate your efforts there -- numpy.io.loadtxt is just
a copy plus enhancement of matplotlib.mlab.load.
JDH
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