Error with Pyart

[Paul McCrone - NOAA Federal]

Hello,

I have a piece of python that I am struggling with. 

Here's the part that's failing

fig = plt.figure(figsize=[22, 22])

projct=ccrs.PlateCarree()

ax = plt.axes(projection=projct)

display = pyart.graph.RadarMapDisplay(radar)

print("----")
print("---")

display.plot_ppi_map('reflectivity', 1, vmin=-2, vmax=64, min_lon=minlon, max_lon=maxlon, \
    min_lat=minlat, max_lat=maxlat, \
    cmap='NWSRef', \
    lat_lines = local_lats, lon_lines = local_lons, \
    projection=projct, \
    lat_0=radar.latitude['data'][0],lon_0=radar.longitude['data'][0])

When I get to the display.plot_ppi_map, I crash.

Here's my error:

---
/home/mccrone/anaconda3/lib/python3.8/site-packages/pyart/graph/radarmapdisplay.py:284: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
  ax = plt.axes(projection=projection)
Segmentation fault

This is failing on a Red Hat system.

This code is running on a separate CENTOS computer and running fine. 

Any thoughts?

[sherma...@gmail.com]

Hi Paul,

Hmm, what version of Py-ART are you using? We did some bug fixes of late and did a release, wondering if the newer version might help? There is also a bug currently with cftime that could possibly be causing the issue... cftime 1.6 I believe.

Zach

[Paul McCrone - NOAA Federal]

Zach,

I am running arm_pyart-1.12.2-py38h71d37f0_0

I am running cftime-1.6.0

Thanks again!

Paul

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V/R,

Paul McCrone

National Weather Service Radar Operations Center, Field Requirements Branch

120 David L. Boren Blvd., Suite 3700

Norman, OK 73072

Paul.M...@noaa.gov

Telephone:  405-546-1013 (*Google*)

Fax:  405-325-2170

Cell phone:  831-224-2701

[sherma...@gmail.com]

Ah gotcha, can you try a newer version of Py-ART? we are at 1.12.5, if that doesnt work, can you trying scaling back cftime to 1.5.1? I'm wondering if its a release issue..

Zach S.

[sherma...@gmail.com]

We've seen this error before to with users using CyLP, if your not using that, shouldn't be the cause

[Paul McCrone - NOAA Federal]

Zach, I will try the new version of pyart first.

Thanks

Paul

To view this discussion on the web visit https://groups.google.com/d/msgid/pyart-users/1e784ac3-2db3-4dd0-ad08-118f427bb1e0n%40googlegroups.com.

[Paul McCrone - NOAA Federal]

Zach, I update to 1.12.5. Still get a segmentation fault. I am downgrading to cftime 1.5.1

Regards,

Paul

[sherma...@gmail.com]

Ah gotcha.. hmm, so ill do an update on the warnings to suppress them, maybe many plots, its causing an overflow of text from the warnings. cftime updated too, so we will do a release here soon and I can ping here once its available.

[Paul McCrone - NOAA Federal]

Thanks Zach, your support is appreciated!

Regards,

Paul McCrone

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[sherma...@gmail.com]

Paul,

We did an update and cftime did a big fix. I also did a warning catch to ignore those warnings. I'm hoping this helps solve the issue. cftime 1.6.0 and pyart 1.12.6 are both the newer versions.

Zach S.

[Paul McCrone - NOAA Federal]

Hi Zach,

I will install today.

Regards,

Paul

To view this discussion on the web visit https://groups.google.com/d/msgid/pyart-users/faae61e6-f221-4227-bf87-865e44cb47aan%40googlegroups.com.

[Paul McCrone - NOAA Federal]

Hi Zach,

Another Segentation fault.

Paul

[sherma...@gmail.com]

Hmm, i'm trying to think what else to try, for the system that this is occurring on, are you using an anaconda environment?

[sherma...@gmail.com]

Another thing to try is to possibly pinpoint where its coming from:
https://docs.python.org/3/library/faulthandler.html

https://blog.richard.do/2018/03/18/how-to-debug-segmentation-fault-in-python/

Using faulthandler to pinpoint possible cause. I haven't had any luck reproducing it on my end

ZachS

[Maxwell Grover]

You could try reinstalling pandas - one user indicated that helped solve a similar problem.

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