Similar Libraries

[lheagy]

Which libraries have similar functionality? What can we leverage? What can we look to for inspiration / ideas?

• Obspy
  • Does this already have time series analysis? What is the potential overlaps here?
• Hdf5
  • For storage
• Mtpy (https://github.com/geophysics/mtpy)
• Pandas
  • E.g. single analysis, fft.
• Astropy? (http://www.astropy.org/)
• Scipy.signal
  • Fft

[kujaku11]

• Scipy.signal also contains FIR and IIR filters that are useful for filtering time series as well as resampling, windowing, and FFT, probably one of the more useful packages.

• Obspy has some filtering capabilities and spectral analysis, however they only calculate the power spectra which does not contain any phase information which is what we are most interested in.

• Pandas is probably the most useful package that we can leverage from.

• Statsmodel http://www.statsmodels.org/stable/index.html could also be a useful package for time series processing and statistical analysis.

[thast]

Just saw this package for signal processing, that will be part of SciPy 2017 tutorials:
https://github.com/mwickert/scikit-dsp-comm

[craigmillernz]

GMT is being ported to python and has a bunch of very useful grid manipulation tools.
http://gmt.soest.hawaii.edu/projects/gmt-python-api/wiki

This project has only just begun, but should be interesting as GMT is a solid set of tools.

[lheagy]

This is a seismic processing package out of UAlberta: https://github.com/SeismicJulia/Seismic.jl Some of the structure and organization may be applicable here too

[thast]

There were a tutorial on basic Times Series Processing with Pandas at SciPy2016:
Youtube video of the tutorial: https://www.youtube.com/watch?v=JNfxr4BQrLk
Github repository: https://github.com/AileenNielsen/TimeSeriesAnalysisWithPython

[lheagy]

xtensor might also be helpful (for code and or ideas): https://github.com/QuantStack/xtensor

[ahartikainen]

Hey, instead of pandas should we use xarray? It has the same indexing engine as the pandas.

http://xarray.pydata.org/en/stable/