Ok, I played with it a little bit.
Here is what I know:
importing the data is not a big issue, I aready wrote a tutorial about it
here:
http://www.tabula0rasa.org/?p=21
here is a sample code I wrote.
from matplotlib import pyplot as plt
from pylab import *
temperature=[
[1,3,4],
[2,4,5],
[6,3,2]
]
distance = (100,200,300)
depth = (10,30,50)
plt.colorbar()
plt.contourf(distance,depth,temperature)
plt.gca().invert_yaxis()
plt.show()
Can I plot the dots as different series on top of the contours ?
many many 10x.
Oz
On Wed, Jul 16, 2008 at 8:58 PM, Eric Firing <[EMAIL PROTECTED]> wrote:
> Oz Nahum wrote:
>
>> Thanks for the quick answer.
>> So if I have a series of 18 points withe measured distance, and 18 data
>> points with distance, it makes it almost impossible to build the graph ??? I
>> can't type 18^18 points.... I want the computer to plot the points and
>> extrapulate between them...
>>
>
> I'm puzzled. You said you knew how to read in your data from files, so
> there should be no question of having to type too many numbers.
>
> Eric
>
>>
>> excuse me the possibly dumb question, I am new to sceintific programming
>> and for matplotlib
>>
>> Oz
>>
>> On Wed, Jul 16, 2008 at 7:51 PM, Eric Firing <[EMAIL PROTECTED] <mailto:
>> [EMAIL PROTECTED]>> wrote:
>>
>> Oz Nahum wrote:
>>
>> Hi,
>> I want to draw a contour plot which uses data from files. I know
>> how to import the files, so it's not the main issue.
>> Let's say I want to do a profile which has the following data:
>> distance, depth and some oceanographic data like temp, oxygen
>> and stuff....
>>
>> so for simplicity lets say I have:
>>
>> distance = [1,2,3,4,5,6,7,8,9]
>> depth = [1,2,3,4,5,6,7,8,9]
>>
>> temp = [26.5, 26.2, 26.2, 26.0,25, 24, 22, 21, 18]
>>
>>
>> Too simple. If your grid has 9 points in distance and 9 in depth,
>> then you need 81 values of temperature (9 profiles of 9 depths each).
>>
>> Suppose you have 10 profiles of 8 points each. Then your
>> temperature array should have shape (8,10). Your distance and depth
>> arrays can either have the same shape as temperature, or both can be
>> 1-D, in which case distance.shape = (10,) and depth.shape = (8,).
>> Either way, you then use (assuming a current release of mpl)
>>
>> from matplotlib import pyplot as plt
>> plt.contour(distance, depth, temperature)
>> plt.gca().invert_yaxis() # so depth increases down the y-axis
>> plt.show()
>>
>> Note that the shape of your temperature array is the transpose of
>> what one might expect. This is for matlab compatibility, and goes
>> with the idea of looking at an array as it is printed, with the
>> column dimension (second index) increasing across the page.
>>
>> See the contour_demo.py and contourf_demo.py in the mpl examples.
>>
>> Eric
>>
>>
>>
>> how do I produce a countour plot were distanc is X, Y is depth
>> and the contours are for temp ?
>>
>> many thanks...
>> Oz
>>
>>
>>
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