You can easily visualize the CAPE and CIN with matplotlib using
fill_between() on the environmental and parcel temperature curves. As for
actually calculating it though, I don't know of a way to do it directly
from matplotlib. There are probably several other python packages out there
that can, but
On 28.03.2014 19:13, Pierre Haessig wrote:
> Hi,
>
> I just ran across this new Qt "add-on" for data visualization :
> blog.qt.digia.com/blog/2014/03/26/qt-data-visualization-1-0-released/
>
> It's a bit off-topic because I think there is not (yet?) a Python
> binding,
From the PyQt mailing lis
Hello,
Lately, I am working on plotting sounding profiles on a SkewT/LogP diagram.
The SkewT package which is located at https://github.com/tchubb/SkewT has a
nice feature to lift a parcel on dry/moist adiabats. This is very useful to
demonstrate the regions of CIN and CAPE overlaid with the full
http://2sn.org/python3/color.py
On 30 March 2014 07:27, Emilia Petrisor wrote:
> Hi all,
>
> While working on this IPython Notebook
> http://nbviewer.ipython.org/github/empet/Math/blob/master/DomainColoring.ipynb
> I wanted to compare the visual images of the same complex-valued function
> gener
Hi all,
While working on this IPython Notebook
http://nbviewer.ipython.org/github/empet/Math/blob/master/DomainColoring.ipynb
I wanted to compare the visual images of the same complex-valued function
generated by the classical domain coloring method, using HSV, respectively
HSL color model.
Un
sometimes, we need to plot array value on a grid, for example
a=np.array([[1,3,5], [2,4,6]])
is shown as
+--+--+--+
| 1 | 3 | 5 |
+--+--+--+
| 2 | 4 | 6 |
+--+--+--+
Is there any ready-to-use method?
thanks
