Thank you,
>
>1) There is a wide gap between label and the contours ie it appears like
>-- 2.4 . is there a way to reduce this gap?
Try inline=False for the clabel call, but that might over-do it.
I tried this but it totally removes the space, the inline_space=n do not app
On Mon, Mar 4, 2013 at 8:26 PM, Sudheer Joseph wrote:
> Thanks to all Matplotlib experts for extending help,
> With the suggestions I could make the script work and I am close to the
> target I had in mind,
> Below script produces as depth longitude contou-filled plot.
> However I have below conc
0-9440832534(Mobile)
E-mail:sjo.in...@gmail.com;sudheer.jos...@yahoo.com
Web- http://oppamthadathil.tripod.com
***
From: Jody Klymak
To: Sudheer Joseph
Cc: "Matplotlib-users@lists.sourceforge.net"
Sent: Tuesday, 5 March 2013 2:10 AM
Subject: Re: [Matplotlib-users] depth long
ceforge.net"
>
> Sent: Monday, 4 March 2013 8:19 PM
> Subject: Re: [Matplotlib-users] depth longitude plot
>
> Thank you,
>I just posted this question in numpy lists thinking
> that it is possible after regriding the data
13 7:53 PM
Subject: Re: [Matplotlib-users] depth longitude plot
On Sat, Mar 2, 2013 at 6:35 AM, Sudheer Joseph wrote:
Hi Phil,
>
>
>Though iris looked to be promising it needed many other libraries, so I chose
>the below suggestion. But is there a way to overlay contours on this ? al
On Sat, Mar 2, 2013 at 6:35 AM, Sudheer Joseph wrote:
> Hi Phil,
>
> Though iris looked to be promising it needed many other libraries, so I
> chose the below suggestion. But is there a way to overlay contours on this
> ? also is it possible to specify the levels?
> In [23]: plt.pcolormesh?? did n
***
From: Phil Elson
To: "Matplotlib-users@lists.sourceforge.net"
Sent: Saturday, 2 March 2013 3:07 PM
Subject: Re: [Matplotlib-users] depth longitude plot
Perhaps something like:
from matplotlib import pyplot as plt
from netCDF4 import Dataset
impor
Incidentally, if you wanted to do this a little more expressively than
indexing, you could look into using iris (
http://scitools.org.uk/iris/docs/latest/index.html). It doesn't currently
support DAP, but if you had the NetCDF file (from *
http://www.marine.csiro.au/dods-data/climatology-netcdf/lev
Perhaps something like:
from matplotlib import pyplot as plt
from netCDF4 import Dataset
import numpy as np
url=*'
http://www.marine.csiro.au/dods/nph-dods/dods-data/climatology-netcdf/levitus_monthly_temp_98.nc
'*
ds = Dataset(url)
temp = ds.variables[*'TEMP'*]
lats = ds.variables[*'**
Dear Users,
I am trying to make vertical section plot along
equator of Indian ocean from 45E to 100E and latitude 0.
from levitus climatology using below code. What is the best and simple way to
achieve this? np.meshgrid allows only 2 variables so I am not able to ma
10 matches
Mail list logo
