excellent, thanks, that worked and was able to plot using matplotlib
without ending up with the logical_or error.
thanks everyone
On Thu, Mar 22, 2012 at 3:59 AM, Goyo wrote:
> El día 21 de marzo de 2012 01:03, questions anon
>
> > f=np.genfromtxt(inputfile, skip_header=6, dtype=None, names=True
El día 21 de marzo de 2012 01:03, questions anon
> f=np.genfromtxt(inputfile, skip_header=6, dtype=None, names=True)
I don't think you should be using dtype=None if you wand a 2D array.
Also the names=True thing makes no sense to me since there isn't a row
with field names. Try just this and I gu
thanks for all of your responses. I agree with Benjamin that I have two
issues, and firstly I need to figure out importing the text to a 2d array
before plotting.
I can take this question elsewhere but will run it by you first:
My problem seems to be that when I use np.genfromtxt it imports my 2d a
On Mon, Mar 19, 2012 at 5:28 PM, questions anon wrote:
> So when I add "np.logical_or" to the beginning of the script it makes no
> difference to the error message that I receive.
>
> I have tried reshaping the array but I receive an error message of:
> Traceback (most recent call last):
> File
So when I add "np.logical_or" to the beginning of the script it makes no
difference to the error message that I receive.
I have tried reshaping the array but I receive an error message of:
Traceback (most recent call last):
File "", line 1, in
f.reshape(691,886)
ValueError: total size of ne
El día 15 de marzo de 2012 05:14, questions anon
escribió:
> I think my error is from the np.genfromtxt because I just checked the size
> of my data and it appears in 1D rather than 2D.
This is unsurprising since your file has just one row of data. I
overlooked that because the weird error messag
I think my error is from the np.genfromtxt because I just checked the size
of my data and it appears in 1D rather than 2D.
if I try taking out 'skip_header' I end up with this error:
Traceback (most recent call last):
File "d:\BoMdata\plotrainfall.py", line 63, in
f=np.genfromtxt(inputfile,
Thanks for responding. It is 'sort of' good to know that it can't be
explained as I just thought it was my incompetency!
I tried the np rather than N but that made no differences.
thanks again
On Thu, Mar 15, 2012 at 7:48 AM, Benjamin Root wrote:
>
>
> On Tue, Mar 13, 2012 at 4:23 PM, questions
On Tue, Mar 13, 2012 at 4:23 PM, questions anon wrote:
> also I have tried running it on a different computer and the same error
> occurred
>
>
> On Wed, Mar 14, 2012 at 8:22 AM, questions anon
> wrote:
>
>> thanks for looking into this Goyo.
>> The complete code:
>>
>>
>> import numpy as N
>> im
also I have tried running it on a different computer and the same error
occurred
On Wed, Mar 14, 2012 at 8:22 AM, questions anon wrote:
> thanks for looking into this Goyo.
> The complete code:
>
>
> import numpy as N
> import matplotlib.pyplot as plt
> from numpy import ma as MA
> from mpl_toolk
thanks for looking into this Goyo.
The complete code:
import numpy as N
import matplotlib.pyplot as plt
from numpy import ma as MA
from mpl_toolkits.basemap import Basemap
import os
shapefile="E:/GIS_layers/DSE_REGIONS"
inputfile=r"d:/BoMdata/r19000117.txt"
outputfolder=r"d:/BoMdata/outputfolder"
El día 12 de marzo de 2012 23:25, questions anon
escribió:
[...]
>
> Is this how the data should look when it has been imported from an ascii to
> a numpy array?
I can't see anything obiously wrong in your code or your data --I did
not dive too deep into it though. What is weird is the traceback:
Thanks for responding. I do think the error is with how I prepare the data
(importing as a numpy array) because I have used matplotlib a million time
with no problems.
Maybe I should be taking this question elsewhere about importing the data
but thought I would add some more info.
The data in the t
On Wednesday, March 7, 2012, questions anon
wrote:
> Hi all,
> I am still having a problem with the same code. I am not sure if maybe
the problem is how I read the data in as numpy.genfromtxt
> Is there a step I need to take to convert the data to numpy array to then
read into matplotlib?
Sorry f
In my GIS experience, rasters don't have prj files. That's something
that seems to be pretty specific to ESRI shapefiles. Point is, I don't
think that's going to help you.
All of the basemap examples use netcdf files. I think your path of
least resistance right now is to figure out how to convert
Hi all,
I am still having a problem with the same code. I am not sure if maybe the
problem is how I read the data in as numpy.genfromtxt
Is there a step I need to take to convert the data to numpy array to then
read into matplotlib?
Thanks
On Fri, Mar 2, 2012 at 11:49 AM, questions anon wrote:
>
python, numpy through enthought -
Python 2.7.2 |EPD 7.1-1 (32-bit)| (default, Jul 3 2011, 15:13:59) [MSC
v.1500 32 bit (Intel)] on win32
imports at the top of the script:
import numpy as N
import matplotlib.pyplot as plt
from numpy import ma as MA
from mpl_toolkits.basemap import Basemap
import o
Le 29 févr. 2012 à 23:29, questions anon a écrit :
> I have a txt file (with an associated prj file) containing gridded weather
> data.
> Firstly how can I open this file and convert it to a numpy array?
You should have a look on ATpy package : http://atpy.github.com/
Cheers
JB
On Wednesday, February 29, 2012, questions anon wrote:
> I have had some progress reading in the data but am unsure how to create
> lats and lons from the info I have (see above).
> the error I am receiving is:
>
> Traceback (most recent call last):
> File "d:\plotrainfall.py", line 40, in
>
I have had some progress reading in the data but am unsure how to create
lats and lons from the info I have (see above).
the error I am receiving is:
Traceback (most recent call last):
File "d:\plotrainfall.py", line 40, in
CS = map.contourf(x,y, f, 15,cmap=plt.cm.jet)
File "C:\Python27\l
I have a txt file (with an associated prj file) containing gridded weather
data.
Firstly how can I open this file and convert it to a numpy array?
and then how to plot in matplotlib, paticularly how to use the lat, lon and
nrows,ncols.
ncols=886
nrows=691
longitude west=111.975, east=156.275
latitu
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