Re: [Matplotlib-users] CAPE and CIN calculation in Python
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 I am not familiar with them. In any case, why not just write your own function for calculating the CAPE and CIN? It is a bit surprising that this functionality isn't be included in the SkewT package, but since you can use it to get the parcel temperature curve, you should be able to calculate the CAPE and CIN rather easily by simply discretizing their respective formulas. Here's a rough example: import numpy as np cape = 9.8 * np.sum(dz * (Tp - T) / T) Where Tp and T are the parcel and environmental temperature arrays respectively, and dz are the height differences between layers. You would of course need to perform the sum from the LFC to EL for CAPE, so the arrays would have to to be subsetted. With numpy the easiest way to do this is with fancy indexing, eg: levs = (z >= LFC) & (z <= EL) Tp = Tp[levs] T = T[levs] where z is your array of heights (or pressure levels). Does this help? Alex On Sat, Mar 29, 2014 at 4:32 PM, Gökhan Sever wrote: > 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 sounding. > > However, the package misses these diagnostic calculations. This is the > only step holding me back to use Python only (migrating from NCL) for my > plotting tasks. I am aware that these calculations are usually performed > in fortran. Are there any routines wrapped in Python to calculate CAPE and > CIN parameters? Any suggestions or comments would be really appreciated. > > -- > Gökhan > > > -- > > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- Alex Goodman Graduate Research Assistant Department of Atmospheric Science Colorado State University -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] pure Qt data visualization (not open source)
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 list: """ PyQtDataVisualization v1.0 has been released. These are Python bindings for Digia's Qt Data Visualization library and PyQt5, see... http://qt.digia.com/Product/Qt-Enterprise-Features/Advanced-Data-Visualization/ PyQtDataVisualization is bundled with PyQt. It is not available under an open source license. Phil """ Anyways, being not open source products, the interest is limited. For Qt the natural choice would be Qwt but then the problem would be to get a wrapper able to work with PySide, PyQt4 and PyQt5. Because of those (an other) issues I am currently using matplotlib in my PyQt applications. Armando -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] CAPE and CIN calculation in Python
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 sounding. However, the package misses these diagnostic calculations. This is the only step holding me back to use Python only (migrating from NCL) for my plotting tasks. I am aware that these calculations are usually performed in fortran. Are there any routines wrapped in Python to calculate CAPE and CIN parameters? Any suggestions or comments would be really appreciated. -- Gökhan -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] colorsys.hsl_to_rgb(h, s, l), but not matplotlib.colors.hsl_to_rgb(array)
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 > generated by the classical domain coloring method, using HSV, respectively > HSL color model. > > Unfortunately there is no matplotlib.colors.hsl_to_rgb(array) function, > only colorsys.hsl_to_rgb(h,s,l). The latter acts on each pixel and is time > consuming. > > My question is, there is a special reason for which hsl_to_rgb is not > implemented in matplotlib.colors for arrays? > I also looked in skimage.color > http://scikit-image.org/docs/dev/api/skimage.color.html and couldn't find > such a function. > > Is there a package containing such a conversion? > Thank you! > > Em > > > > > > -- > > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] colorsys.hsl_to_rgb(h, s, l), but not matplotlib.colors.hsl_to_rgb(array)
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. Unfortunately there is no matplotlib.colors.hsl_to_rgb(array) function, only colorsys.hsl_to_rgb(h,s,l). The latter acts on each pixel and is time consuming. My question is, there is a special reason for which hsl_to_rgb is not implemented in matplotlib.colors for arrays? I also looked in skimage.color http://scikit-image.org/docs/dev/api/skimage.color.html and couldn't find such a function. Is there a package containing such a conversion? Thank you! Em -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] any existing method to plot array item on grid?
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 -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
