Hi,
My question may be confusing.
Now I would like to extract temperature values from model output with python.
My model output have separate temperature, longitude and latitude variables.
So, I overlap these three grid variables on one figure to show temperature with
longitude and latitude thr
I have tried to make a plot of points with longitude and latitude coordinate,
and draw shaded area with distance from one point. So, I thought that I could
uae contourf function from matplotlibrary. My code is:
import haversine
import numpy as np
import matplotlib.pyplot as plt
wi
I am trying to combine netcdf files, but it contifuously shows " File
"CBL_plot.py", line 11, in f = MFDataset(fili) File "utils.pyx", line 274, in
netCDF4.MFDataset.init (netCDF4.c:3822) IOError: master dataset THref_11:00.nc
does not have a aggregation dimension."
So, I checked only one netcd
On Thursday, November 14, 2013 2:01:39 PM UTC-8, John Ladasky wrote:
> On Thursday, November 14, 2013 11:39:37 AM UTC-8, Isaac Won wrote:
>
> > I tried to plot one smaller contour inside of the other larger contour.
>
>
>
> Using what software? A plotting package i
I tried to plot one smaller contour inside of the other larger contour. I have
two different 2D-arrays. One is with smaller grid spacing and smaller domain
size and the other is with larger spacing and larger domain size. So, I tried
to use fig.add_axes function as follows:
fig = plt.figure()
ax
I just would like to make my previous question simpler and I bit adjusted my
code with help with Ulich and Chris.
The basic structure of my code is:
for c in range(5,25):
for columns in ( raw.strip().split() for raw in f ):
a.append(columns[c])
x = np.arra
UTC-6, Ulrich Eckhardt wrote:
> Am 01.03.2013 09:59, schrieb Isaac Won:
>
> > try to make my triple nested loop working. My code would be:
>
> > c = 4
>
> [...]
>
> > while c <24:
>
> > c = c + 1
>
>
>
> This is bad
On Friday, March 1, 2013 7:41:05 AM UTC-6, Chris Angelico wrote:
> On Fri, Mar 1, 2013 at 7:59 PM, Isaac Won wrote:
>
> > while c <24:
>
> > for columns in ( raw.strip().split() for raw in f ):
>
> > while d <335:
>
>
>
> Note
Thank you, Chris.
I just want to acculate value from y repeatedly.
If y = 1,2,3...10, just have a [1,2,3...10] at onece.
On Friday, March 1, 2013 7:41:05 AM UTC-6, Chris Angelico wrote:
> On Fri, Mar 1, 2013 at 7:59 PM, Isaac Won wrote:
>
> > while c <24:
>
> >
try to make my triple nested loop working. My code would be:
c = 4
y1 = []
m1 = []
std1 = []
while c <24:
c = c + 1
a = []
f.seek(0,0)
for columns in ( raw.strip().split() for raw in f ):
a.append(columns[c])
Dear all,
I am trying to calculate correlation coefficients between one time series data
and other time series. However,there are some missing values. So, I
interploated each time series with 1d interpolation in scipy and got
correlation coefficients between them. This code works well for some
On Wednesday, January 23, 2013 10:51:43 AM UTC-6, Oscar Benjamin wrote:
> On 23 January 2013 14:57, Isaac Won wrote:
>
> > On Wednesday, January 23, 2013 8:40:54 AM UTC-6, Oscar Benjamin wrote:
>
> >> On 23 January 2013 14:28, Isaac Won wrote:
>
> >>
&g
On Wednesday, January 23, 2013 8:40:54 AM UTC-6, Oscar Benjamin wrote:
> On 23 January 2013 14:28, Isaac Won wrote:
>
> > On Wednesday, January 23, 2013 4:08:13 AM UTC-6, Oscar Benjamin wrote:
>
> >
>
> > To Oscar
>
> > My actual error message is:
>
On Wednesday, January 23, 2013 2:55:14 AM UTC-6, Ulrich Eckhardt wrote:
> Am 23.01.2013 05:06, schrieb Isaac Won:
>
> > I have tried to use different interpolation methods with Scipy. My
>
> > code seems just fine with linear interpolation, but shows memory
>
> >
On Wednesday, January 23, 2013 4:08:13 AM UTC-6, Oscar Benjamin wrote:
> On 23 January 2013 08:55, Ulrich Eckhardt
>
>
>
> > Am 23.01.2013 05:06, schrieb Isaac Won:
>
> >
>
> >> I have tried to use different interpolation methods with Scipy. My
&
On Wednesday, January 23, 2013 4:08:13 AM UTC-6, Oscar Benjamin wrote:
> On 23 January 2013 08:55, Ulrich Eckhardt
>
> wrote:
>
> > Am 23.01.2013 05:06, schrieb Isaac Won:
>
> >
>
> >> I have tried to use different interpolation methods with Scipy. My
&
On Tuesday, January 22, 2013 10:06:41 PM UTC-6, Isaac Won wrote:
> Hi all,
>
>
>
> I have tried to use different interpolation methods with Scipy. My code seems
> just fine with linear interpolation, but shows memory error with quadratic. I
> am a novice for python. I wil
Hi all,
I have tried to use different interpolation methods with Scipy. My code seems
just fine with linear interpolation, but shows memory error with quadratic. I
am a novice for python. I will appreciate any help.
#code
f = open(filin, "r")
for columns in ( raw.strip().split() for raw in f ):
On Wednesday, January 2, 2013 5:54:18 PM UTC-6, Dave Angel wrote:
> On 01/02/2013 05:21 PM, Isaac Won wrote:
>
> > Hi all,
>
> >
>
> > Thanks to Hans, I have had a good progress on my problem.
>
> >
>
> > Followings are Hans's Id
Hi all,
Thanks to Hans, I have had a good progress on my problem.
Followings are Hans's Idea:
import numpy as np
b = []
c = 4
f = open("text.file", "r")
while c < 10:
c = c + 1
f.seek(0,0)
for columns in ( raw.strip().split() for raw in f ):
On Monday, December 31, 2012 6:59:34 AM UTC-6, Hans Mulder wrote:
> On 31/12/12 11:02:56, Isaac Won wrote:
>
> > Hi all,
>
> > I am a very novice for Python. Currently, I am trying to read continuous
>
> > columns repeatedly in the form of array.
On Monday, December 31, 2012 5:25:16 AM UTC-6, Gisle Vanem wrote:
> "Isaac Won" wrote:
>
>
>
> > while c < 10:
>
> >c = c + 1
>
> >
>
> >for columns in ( raw.strip().split() for raw in f ):
>
> >
>
&
Hi all,
I am a very novice for Python. Currently, I am trying to read continuous
columns repeatedly in the form of array.
my code is like below:
import numpy as np
b = []
c = 4
f = open("text.file", "r")
while c < 10:
c = c + 1
for columns in ( raw.strip().split() for raw
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