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
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 ):
>
> >
>
&
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.
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 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,
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 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
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 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 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 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 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
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
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 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
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
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
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
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])
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:
>
> >
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
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
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
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