Joe, Eric
Thanks to both for your further comments.
I made a new notebook, this time using open source data so it can be
downloaded and followed step by step.
The html version in nbviewer is here:
http://nbviewer.ipython.org/urls/dl.dropbox.com/s/2pfhla9rn66lsbv/surface_shading.ipynb/%3Fdl%3D0
Da
I've tried several methods on stackoverflow
(http://stackoverflow.com/questions/10101700/moving-matplotlib-legend-outside-of-the-axis-makes-it-cutoff-by-the-figure-box)
and I'm still seeing issues with matplotlib cutting off my legend. The
figure and code are posted below, note that I am using
f
Thanks! you are right!
I didn't notice this detail
Gabriele
On Fri, May 22, 2015 at 3:58 PM, Benjamin Root wrote:
> The documentation for streamplot:
>
> ```
> *x*, *y* : 1d arrays
> an *evenly spaced* grid.
> *u*, *v* : 2d arrays
> x and y-velocities. N
The documentation for streamplot:
```
*x*, *y* : 1d arrays
an *evenly spaced* grid.
*u*, *v* : 2d arrays
x and y-velocities. Number of rows should match length of y, and
the number of columns should match x.
```
Note that the rows in *u* and *v*
I think you're asking how to blend a custom intensity image with an rgb
image. (I'm traveling and just have my phone, so you'll have to excuse my
lack of examples.)
There are several ways to do this. Basically, it's analogous to "blend
modes" in Photoshop etc.
Have a look at the matplotlib.colors
