On Thu, Dec 11, 2014 at 12:01 PM, Adam Hughes <hughesadam87@gmail.com> wrote:
Thanks Michael.
Be warned, only about 3 people are using the library at the moment, so it's quite likely that you'll encounter some bugs just by virtue of using a new dataset that probably will bring to light some considerations that we overlooked. In addition, I only support pandas 0.14 right now (0.15 has a lot of private API changes that directly affect us). But we did feel like the library was close enough to ready to share it, and I hope you can try it out. If you do want to give it a whirl sometime soon, please feel free to contact us at skspec@googlegroups.com (or me personally) and we will at least make sure to help get you up and running. Let us know what kind of data you're working on and what type of analysis you're doing. We've spend a lot of time putting out datastructures together, but we haven't put a great deal of thought into the actual spectral utilitiles, workflows and analysis that we should host, other than correlation spectroscopy and base things like dynamic baseline fitting.--On Wed, Dec 10, 2014 at 6:14 PM, Michael Aye <kmichael.aye@gmail.com> wrote:On 2014-12-10 02:43:46, Adam Hughes <hughes...@gmail.com> wrote:> http://hugadams.github.io/scikit-spectra/
That is a very impressive notebook widget shown in the video! I love
how it interacts with mpl3d.Ditto! Man, can't wait to play with this! Very happy that there's finally a package focusing on spectral analysis! It also just comes at the right time, just started in my new job working on data from an imaging spectrometer for the first time. ;)
Michael
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