i modified the code as follow :
def bar_plot(data, Yval, datamin=None, datamax=None):
doc
x = data[0]
y = data[1]
# reduce dataset based on min max date
if datamin != datamax != None :
x = data[0][np.where((data[0]=datamin) (data[0]=datamax))[0]]
y =
Hi, I am trying to use pcolor to visualise three variables. For example if
I have a value for z at x and a value for z at y something like [x1, x2,
x3] = [z1, z2, z3] and [y1, y2, y3] = [z2, z1, z3]. Then I use meshgrid to
create the grid for x and y,
X, Y = meshgrid(x, y)
the result is two
Thanks Tony, I think this will work!
Cheers,
Joe
On Mar 31, 2012, at 11:33 AM, Tony Yu wrote:
On Fri, Mar 30, 2012 at 12:25 PM, eoj josephmeir...@gmail.com wrote:
Basically the problem is like this. I have a relatively expensive (time wise)
figure to create, specifically a map with
On 03/31/2012 07:26 AM, Marston wrote:
Hi, I'm trying to create a plot, with subplots where each row of x plots
have a common colorbar beneath it. Only the the top row will have
titles. I've tried creating a function to do this but I only achieve
partial success. Here is an image created in
Hi,
I wrote an abline_plot function, and I'm curious if what I'm doing is the
best way to go about this. I tried unsuccessfully to get the transforms to
do what I want, but I'm not sure if it's possible. What I came up with is
to use callbacks to draw an infinite line. It works, but it seems a
On Sun, Apr 1, 2012 at 4:23 PM, Skipper Seabold jsseab...@gmail.com wrote:
Hi,
I wrote an abline_plot function, and I'm curious if what I'm doing is the
best way to go about this. I tried unsuccessfully to get the transforms to
do what I want, but I'm not sure if it's possible. What I came
On 03/30/2012 01:23 PM, Emmanuel Mayssat wrote:
Hello all,
I can create a figure
and get the corresponding axes/plots
for examples:
1/
fig = Figure(figsize=(width, height), dpi=dpi)
ax = gif.add_subplot(111)
2/
fig, ax = plt.subplots()
but I would like to create my plot independently
On 03/29/2012 06:29 AM, Chao YUE wrote:
Dear all,
I make a contourf plot but I think the colorbar is too wide. Can I make
it narrower (slimmer)?
Yes, you can use the aspect kwarg. The default is 20. Try
cbar = plt.colorbar(aspect=40)
On 3/31/12 5:48 AM, David Craig wrote:
Hi, I previously installed basemap by using the yum command. This
installed version 0.99.4. I want to install the latest version so I
can use shaded relief etc. This may be more of a linux problem but as
I am more familiar with python than linux I thought
