I downloaded one year of data with massdownloader. However, at the first time of the downloading, I writed wrong the name of the files.Due to I already had half downloaded. Therefore, I developed a script to change the name of these files automatically.
After that, I wanted to rerunning the download with massdownloader, so, I corrected the filenames in mseed_storage parameter of massdownloader. However, when I ran the downloading with massdownloader again, then it repeats the file with the same name. I hoped that it didn't repeat the downloads
Do you know what happen here?
I rotated the IRIS data component to R and T components , for the surface tomography, using both Obspy and SAC , but the output seems to be different . Is there anyway to find which one is wrong? or anyone I can consult here?
without a screenshot, an example etc... difficult to say. did you apply the same filters (if any), etc ?
MassDownloaderindexes the "already downloaded data", @krischer ?
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-2-4718903f829c> in <module>
1 import obspy
----> 2 from obspy.imaging.radpattern import plot_3drpattern
3 mt = [0.91, -0.89, -0.02, 1.78, -1.55, 0.47]
ModuleNotFoundError: No module named 'obspy.imaging.radpattern'
For your second question,
CMTSOLUTION is a standard format that looks like this.
Event.plot() with defaults to
kind=('beachball', 'p_sphere', 's_sphere') calls the
obspy.imaging.source.plot_radiation_pattern under the hood, which if you have the moment-tensor and no
Event might be simpler to call.
I tried to install obspy with miniconda in google collab. Apparently, it was installed ok. However, when I wanted to use ' obspy.read() ' appears this error: 'TypeError: Unknown format for file /usr/local/lib/python3.6/site-packages/obspy/core/data/BW_RJOB.xml'
can you help me please? Maybe obspy can't be installed with conda in google collab? When I installed with pip, it does his job ok. But for certain reasons I need to install it with conda.
In the next link, you can see the collab notebook that I'm using:
@ThomasLecocq Thanks a lot!, with your comment I could recognize that if I restart the kernel, collab doesn't reinit the conda env.
With this help https://datascience.stackexchange.com/questions/75948/how-to-setup-and-run-conda-on-google-colab . I could find the way to correct it, but only it's ok if I run all my python code in one cell, you can see the way in the next link: https://github.com/ecastillot/notebooks/blob/master/test_obspy_condainstall.ipynb
Due to run all my python notebook code in one cell is uncomfortable, then I tried to type "!conda deactivate" or "!conda activate" for deactivate or activate the env . However, this error appears :
"CommandNotFoundError: Your shell has not been properly configured to use 'conda deactivate'.
To initialize your shell, run
$ conda init <SHELL_NAME>
Currently supported shells are:
See 'conda init --help' for more information and options.
IMPORTANT: You may need to close and restart your shell after running 'conda init'."
generic question related to "best practice": how far away from each other could you have two sensors sharing net+sta , but not loc ids ? I imagine on a field with up to 100m apart, logged on a single unit? or borehole strings with different sensors at different depths ?
I think SEED manual says something about it, pretty sure officially its less than 100m, more like 20m or something, but personally I wouldnt be too picky, most important what fits your workflow