On 3/13/2023 12:39 AM, a a wrote:
But what I need is analysis of seismograms from 4,000 seismographs world wide
to detect P-wave energy distribution underground around the earthquake to
verify EQ Domino Effect
In that case, you will have to do a great deal of work to get all that
data into a common usable form, cleaned and errors removed. That will
be a lot of effort no matter what language you use. In the Matplotlib
lesson you pointed to, the work was already done, for one one earthquake
at one location.
The reference I gave,
https://towardsdatascience.com/earthquake-time-series-forecasts-using-a-hybr
id-clustering-lstm-approach-part-i-eda-6797b22aed8c
actually includes a Python script that does this work for some selected
ranges of data, so it might be a good starting point.
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