On 8/1/12 4:09 PM, Scott Henderson wrote:
Hi Jeff,
I'm continuing to enjoy using basemap, but have a question about the shaded
relief background. I frequently use greyscale shaded relief on the
continents, but blue or white for the oceans. the shadedrelief() function is
really convenient,
It is a great honor for me to announce that Michael Droettboom has
agreed to take on the role of lead developer of matplotlib. Since
Michael joined the project in 2007, he has been responsible for much
of the code that brought matplotlib from being an excellent tool to a
world class one. No one
Dear Colleagues,
the SIAM CSE13 conference will be held next year in Boston, and this is a
conference that is well suited for much of the type of work that goes on in
the open source scientific Python development community (and Julia). The
conference is co-chaired by Hans-Petter Langtangen, well
surfcast23 wrote:
In the documentation it says that Axes3D.plot_wireframe(X, Y, Z, *args,
**kwargs) takes 2D arrays as the first two arguments. Do the arrays have
to have the same size dimensions?
Any one know?
--
View this message in context:
On Thursday, August 2, 2012, surfcast23 wrote:
surfcast23 wrote:
In the documentation it says that Axes3D.plot_wireframe(X, Y, Z, *args,
**kwargs) takes 2D arrays as the first two arguments. Do the arrays have
to have the same size dimensions?
Any one know?
Working from
I couldn't put an exact date on when John began matplotlib, but its
sourceforge repository was registered in June of 2003. Python 2.2 was
the latest version available. Microsoft Windows XP was on the shelves,
Mac OS X was new to the scene, and Linux had yet to be made easy by the
likes of
On Aug 2, 2012, at 5:25 PM, John Hunter wrote:
I also extend my heartfelt thanks to Perry Greenfield and STScI. They
have been supporting matplotlib since 2004 with ideas, code and
developer resources. They employ Michael currently, and are part of
the reason why he is able to take on the
Okay thank you! The Matlab code I am basing this on takes arrays of different
shapes with different sized elements ie
x = 1 512
y = 101 1
and I guess automatically makes the the same shape. Can you point me in the
direction of documentation that will explain how I can do this in Python?
On Thursday, August 2, 2012, surfcast23 wrote:
Okay thank you! The Matlab code I am basing this on takes arrays of
different
shapes with different sized elements ie
x = 1 512
y = 101 1
and I guess automatically makes the the same shape. Can you point me in the
direction of
Wouldn't
X= np.ones((1, 45))
Y= np.zeros((32, 1))
change the existing values of the elements to ones and zeros?
Benjamin Root-2 wrote:
On Thursday, August 2, 2012, surfcast23 wrote:
Okay thank you! The Matlab code I am basing this on takes arrays of
different
shapes with different
sorry misssed this line Which produces x and y with the same shapes, and
their values duplicated in
the direction the array was expanded.
surfcast23 wrote:
Wouldn't
X= np.ones((1, 45))
Y= np.zeros((32, 1))
change the existing values of the elements to ones and zeros?
Benjamin
On Thursday, August 2, 2012, surfcast23 wrote:
Wouldn't
X= np.ones((1, 45))
Y= np.zeros((32, 1))
change the existing values of the elements to ones and zeros?
I was just demonstrating what np.broadcast_arrays() does. Take your x and
y arrays and put them through this function and put
I tested it out and it does change all the values to ones and zeros. Is there
a way to broadcast and keep the original values that were in the arrays?
Thanks for the help
Benjamin Root-2 wrote:
On Thursday, August 2, 2012, surfcast23 wrote:
Okay thank you! The Matlab code I am basing
On Friday, August 3, 2012, surfcast23 wrote:
I tested it out and it does change all the values to ones and zeros. Is
there
a way to broadcast and keep the original values that were in the arrays?
Thanks for the help
Don't use ones() and zeros(). It was just a way to swtup a demonstration
Gotcha ya working perfectly now thank you for the help!
Benjamin Root-2 wrote:
On Thursday, August 2, 2012, surfcast23 wrote:
Wouldn't
X= np.ones((1, 45))
Y= np.zeros((32, 1))
change the existing values of the elements to ones and zeros?
I was just demonstrating what
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