Comments (1)
There's no intended/supported way to do this. One thing you could try is to export everything as a CSV and pass the data through your own plotting software with custom axis limits.
Another thing you could perhaps try is to import matplotlib.pyplot as plt and set axN.set_ylim(...) (where N is the subplot index) around virgo.plot(), although I doubt this would work because axN.set_ylim() is part of the plot function in Virgo.
You also have the freedom to edit the source code of virgo.py in your system directly and set the limits manually if that helps.
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Related Issues (20)
- JOSS review: Documentation general comment HOT 8
- JOSS review: Installation and Usage HOT 5
- JOSS review: functionality documentation & testing HOT 20
- Issues with creating an RFI Survey HOT 21
- Calibration Question HOT 1
- RFI Removal HOT 6
- VLSR HOT 4
- Matplotlib memory leak on overnight runs HOT 7
- Determining Gain HOT 1
- Virgo working with Python Virtual Environments
- Potential gnuradio 3.7/3.8 issue. HOT 12
- module compiled against API version 0xe HOT 2
- Configuring Virgo for multiple SDR using the KrakenSDR SDR module HOT 1
- Adding Meta parameter to virgo.plot throws error HOT 3
- virgo.simulate does not return the LAB data HOT 2
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- unexpected keyword argument 'catch_exceptions' HOT 4
- Not issue just I need a help
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