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plot_ppi_map with lat/lon #1245
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@srbrodzik can you add |
I'm not familiar with that command or how to use it and couldn't find anything about it on the web, so I put it after the display and fig command and before the individual plots are defined, like this:
It made no difference. If there's a more proper way to use the command, let me know. |
Could you add it in the plot_ppi_map? Ex. Plot_ppi_map(embellish=True) |
# remove transition angle flags
subset = radar.extract_sweeps([index])
trans = subset.antenna_transition["data"]
trans[:] = 0
subset.antenna_transition["data"] = trans
# create display
# use 'subset' instead of 'radar' to define display
# then sweep will be 0 for all plots since subset contains only one sweep
display = pyart.graph.RadarMapDisplay(subset)
fig = plt.figure(figsize=(12, 4.5))
fig.tight_layout()
fig.suptitle('SPOL Rain Rates '+start_str+' UTC PPI '+str(angle)+' deg', fontsize=18)
ax = fig.add_subplot(121, projection=ccrs.PlateCarree())
display.plot_ppi_map('RATE_HYBRID', sweep=0, ax=ax, title='',
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_HYBRID (mm/hr)',
cmap='pyart_HomeyerRainbow',
lat_lines = np.arange(22,27,.5),
lon_lines = np.arange(118, 123,1),
#axislabels=('', 'Distance from radar (km)'),
embellish=True,
resolution = '10m')
ax = fig.add_subplot(122, projection=ccrs.PlateCarree())
display.plot_ppi_map('RATE_PID', sweep=0, ax=ax, title='',
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_PID (mm/hr)',
#cmap='pyart_Carbone42',
cmap='pyart_HomeyerRainbow',
lat_lines = np.arange(22,27,.5),
lon_lines = np.arange(118, 123,1),
#axislabels=('', 'Distance from radar (km)'),
embellish=True,
resolution = '10m')
# save plot
plt.savefig(outdir+'/'+file_out) |
That doesn't result in any change.
I've attached my input file for you.
cfrad.20220607_042450.162_to_20220607_043052.36...
<https://drive.google.com/file/d/1akTKyeLQT4npB68vJGLa_5I0Xg_0veyO/view?usp=drive_web>
Stacy
…On Fri, Aug 19, 2022 at 5:31 AM Max Grover ***@***.***> wrote:
# remove transition angle flagssubset = radar.extract_sweeps([index])trans = subset.antenna_transition["data"]trans[:] = 0subset.antenna_transition["data"] = trans
# create display# use 'subset' instead of 'radar' to define display# then sweep will be 0 for all plots since subset contains only one sweepdisplay = pyart.graph.RadarMapDisplay(subset)fig = plt.figure(figsize=(12, 4.5))fig.tight_layout()fig.suptitle('SPOL Rain Rates '+start_str+' UTC PPI '+str(angle)+' deg', fontsize=18)
ax = fig.add_subplot(121, projection=ccrs.PlateCarree())display.plot_ppi_map('RATE_HYBRID', sweep=0, ax=ax, title='',
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_HYBRID (mm/hr)',
cmap='pyart_HomeyerRainbow',
lat_lines = np.arange(22,27,.5),
lon_lines = np.arange(118, 123,1),
#axislabels=('', 'Distance from radar (km)'),
embellish=True,
resolution = '10m')
ax = fig.add_subplot(122, projection=ccrs.PlateCarree())display.plot_ppi_map('RATE_PID', sweep=0, ax=ax, title='',
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_PID (mm/hr)',
#cmap='pyart_Carbone42',
cmap='pyart_HomeyerRainbow',
lat_lines = np.arange(22,27,.5),
lon_lines = np.arange(118, 123,1),
#axislabels=('', 'Distance from radar (km)'),
embellish=True,
resolution = '10m')
# save plotplt.savefig(outdir+'/'+file_out)
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I tried troubleshooting with version 1.12.5, and was not able to reproduce the error # remove transition angle flags
subset = radar.extract_sweeps([index])
trans = subset.antenna_transition["data"]
trans[:] = 0
subset.antenna_transition["data"] = trans
# create display
# use 'subset' instead of 'radar' to define display
# then sweep will be 0 for all plots since subset contains only one sweep
display = pyart.graph.RadarMapDisplay(subset)
fig = plt.figure(figsize=(12, 4.5))
fig.tight_layout()
fig.suptitle('SPOL Rain Rates '+start_str+' UTC PPI '+str(angle)+' deg', fontsize=18)
ax = fig.add_subplot(121, projection=ccrs.PlateCarree())
display.plot_ppi_map('RATE_HYBRID', sweep=0, ax=ax, title='',
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_HYBRID (mm/hr)',
cmap='pyart_HomeyerRainbow',
lat_lines = np.arange(22,27,.5),
lon_lines = np.arange(118, 123,1),
#axislabels=('', 'Distance from radar (km)'),
# embellish=True,
resolution = '10m')
ax = fig.add_subplot(122, projection=ccrs.PlateCarree())
display.plot_ppi_map('RATE_PID', sweep=0, ax=ax, title='',
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_PID (mm/hr)',
#cmap='pyart_Carbone42',
cmap='pyart_HomeyerRainbow',
lat_lines = np.arange(22,27,.5),
lon_lines = np.arange(118, 123,1),
#axislabels=('', 'Distance from radar (km)'),
# embellish=True,
resolution = '10m')
# save plot
plt.savefig(outdir+'/'+file_out) There is one way to override the grid labels, by adding ax.gridlines(xlocs=lon_lines, ylocs=lat_lines, draw_labels=True) When you create the plots. I added a revised code snippet similar to above, except with the added line to make sure that grid lines are added and labels are included! I hope this helps! index = 0
# remove transition angle flags
subset = radar.extract_sweeps([index])
trans = subset.antenna_transition["data"]
trans[:] = 0
subset.antenna_transition["data"] = trans
# create display
# use 'subset' instead of 'radar' to define display
# then sweep will be 0 for all plots since subset contains only one sweep
display = pyart.graph.RadarMapDisplay(subset)
fig = plt.figure(figsize=(12, 4.5))
fig.tight_layout()
fig.suptitle('SPOL Rain Rates '+start_str+' UTC PPI '+str(angle)+' deg', fontsize=18)
lat_lines = np.arange(22,27,.5)
lon_lines = np.arange(118, 123,1)
ax = fig.add_subplot(121, projection=ccrs.PlateCarree())
display.plot_ppi_map('RATE_HYBRID', sweep=0, ax=ax, title='',
fig=None,
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_HYBRID (mm/hr)',
cmap='pyart_HomeyerRainbow',
lat_lines = lat_lines,
lon_lines = lon_lines,
#axislabels=('', 'Distance from radar (km)'),
embellish=True,
resolution = '10m')
# Add grid labels to the first plot
gl = ax.gridlines(xlocs=lon_lines, ylocs=lat_lines, draw_labels=True)
gl.top_labels = False
gl.right_labels = False
ax2 = fig.add_subplot(122, projection=ccrs.PlateCarree())
display.plot_ppi_map('RATE_PID', sweep=0, ax=ax2, title='',
fig=None,
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_PID (mm/hr)',
#cmap='pyart_Carbone42',
cmap='pyart_HomeyerRainbow',
lat_lines = lat_lines,
lon_lines = lon_lines,
#axislabels=('', 'Distance from radar (km)'),
embellish=True,
resolution = '10m')
# Add grid labels to the other plot
gl2 = ax2.gridlines(xlocs=lon_lines, ylocs=lat_lines, draw_labels=True)
gl2.top_labels = False
gl2.right_labels = False |
Thanks for the feedback Max. Unfortunately, that didn't fix my problem.
Could it be that a newer version of another package is required?
Stacy
…On Sat, Aug 20, 2022 at 7:23 AM Max Grover ***@***.***> wrote:
I tried troubleshooting with version 1.12.5, and was not able to reproduce
the error
# remove transition angle flagssubset = radar.extract_sweeps([index])trans = subset.antenna_transition["data"]trans[:] = 0subset.antenna_transition["data"] = trans
# create display# use 'subset' instead of 'radar' to define display# then sweep will be 0 for all plots since subset contains only one sweepdisplay = pyart.graph.RadarMapDisplay(subset)fig = plt.figure(figsize=(12, 4.5))fig.tight_layout()fig.suptitle('SPOL Rain Rates '+start_str+' UTC PPI '+str(angle)+' deg', fontsize=18)
ax = fig.add_subplot(121, projection=ccrs.PlateCarree())display.plot_ppi_map('RATE_HYBRID', sweep=0, ax=ax, title='',
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_HYBRID (mm/hr)',
cmap='pyart_HomeyerRainbow',
lat_lines = np.arange(22,27,.5),
lon_lines = np.arange(118, 123,1),
#axislabels=('', 'Distance from radar (km)'),
# embellish=True,
resolution = '10m')
ax = fig.add_subplot(122, projection=ccrs.PlateCarree())display.plot_ppi_map('RATE_PID', sweep=0, ax=ax, title='',
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_PID (mm/hr)',
#cmap='pyart_Carbone42',
cmap='pyart_HomeyerRainbow',
lat_lines = np.arange(22,27,.5),
lon_lines = np.arange(118, 123,1),
#axislabels=('', 'Distance from radar (km)'),
# embellish=True,
resolution = '10m')
# save plotplt.savefig(outdir+'/'+file_out)
[image: Screen Shot 2022-08-20 at 9 16 47 AM]
<https://user-images.githubusercontent.com/26660300/185750791-282a9e70-e535-41f7-8c38-557aabf4c164.png>
There is one way to override the grid labels, by adding
ax.gridlines(xlocs=lon_lines, ylocs=lat_lines, draw_labels=True)
When you create the plots. I added a revised code snippet similar to
above, except with the added line to make sure that grid lines are added
and labels are included! I hope this helps!
index = 0
# remove transition angle flagssubset = radar.extract_sweeps([index])trans = subset.antenna_transition["data"]trans[:] = 0subset.antenna_transition["data"] = trans
# create display# use 'subset' instead of 'radar' to define display# then sweep will be 0 for all plots since subset contains only one sweepdisplay = pyart.graph.RadarMapDisplay(subset)fig = plt.figure(figsize=(12, 4.5))fig.tight_layout()fig.suptitle('SPOL Rain Rates '+start_str+' UTC PPI '+str(angle)+' deg', fontsize=18)lat_lines = np.arange(22,27,.5)lon_lines = np.arange(118, 123,1)
ax = fig.add_subplot(121, projection=ccrs.PlateCarree())display.plot_ppi_map('RATE_HYBRID', sweep=0, ax=ax, title='',
fig=None,
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_HYBRID (mm/hr)',
cmap='pyart_HomeyerRainbow',
lat_lines = lat_lines,
lon_lines = lon_lines,
#axislabels=('', 'Distance from radar (km)'),
embellish=True,
resolution = '10m')
# Add grid labels to the first plotgl = ax.gridlines(xlocs=lon_lines, ylocs=lat_lines, draw_labels=True)gl.top_labels = Falsegl.right_labels = False
ax2 = fig.add_subplot(122, projection=ccrs.PlateCarree())display.plot_ppi_map('RATE_PID', sweep=0, ax=ax2, title='',
fig=None,
vmin=0,vmax=50,
width=400000, height=400000,
colorbar_label='RATE_PID (mm/hr)',
#cmap='pyart_Carbone42',
cmap='pyart_HomeyerRainbow',
lat_lines = np.arange(22,27,.5),
lon_lines = np.arange(118, 123,1),
#axislabels=('', 'Distance from radar (km)'),
embellish=True,
resolution = '10m')
# Add grid labels to the other plotgl2 = ax2.gridlines(xlocs=lon_lines, ylocs=lat_lines, draw_labels=True)gl2.top_labels = Falsegl2.right_labels = False
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@srbrodzik can you run |
I'm not using anaconda. I'm working on a Debian 11 system and have
attached a 'dpkg -l' listing. PyArt is not listed due to how github
downloads interact with our package management system. But I can assure
you that the version is as I've told you.
I'm starting to think this is a matplotlib problem and not a pyart
problem. I had similar problems with axis labelling in some skewt plotting
code that worked with older versions of matplotlib. I learned that
matplotlib was handling axes differently but never quite figured out how to
use it. That might also explain why your 'fix' didn't work.
Stacy
…On Mon, Aug 22, 2022 at 7:30 PM Max Grover ***@***.***> wrote:
@srbrodzik <https://github.com/srbrodzik> can you run conda list and post
the output here?
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Ahh okay - I am not seeing the dpkg list... Can you try updating matplotlib to a recent version? That might fix it or is at least worth a try. |
Already using this:
ii python3-matplotlib 3.3.4-1
amd64 Python based plotting system in a style
similar to Matlab (Python 3)
Will try 3.5.3 and see what happens.
Stacy
…On Tue, Aug 23, 2022 at 11:51 AM Max Grover ***@***.***> wrote:
Ahh okay - I am not seeing the dpkg list...
Can you try updating matplotlib to a recent version? That might fix it or
is at least worth a try.
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Okay! Let me know how that goes... fingers crossed that fixes it! |
We installed the latest version of matplotlib from the git site which dpkg
-l identifies as v3.6.0:
ii python3-matplotlib
3.6.0~dev3106+g07af522369-1 amd64
Python plotting package
Not sure how that happened since I thought 3.5.3 was the most recent
version.
Bottom line, it makes things worse. Now I don't even get plots without
lat/lon markings but instead get a bunch of error messages and no plots.
There's few references to cartopy so I checked the version we're using:
ii python-cartopy-data 0.20.2+dfsg-2
all cartographic library for Python
(package data)
ii python3-cartopy 0.20.2+dfsg-2
amd64 Cartographic library for Python 3
Here's the errors:
In [6]: ax = fig.add_subplot(121, projection=ccrs.PlateCarree())
...: display.plot_ppi_map('RATE_HYBRID', sweep=0, ax=ax, title='',
...: fig=None,
...: vmin=0,vmax=50,
...: width=400000, height=400000,
...: colorbar_label='RATE_HYBRID (mm/hr)',
...: cmap='pyart_HomeyerRainbow',
...: lat_lines = lat_lines,
...: lon_lines = lon_lines,
...: #axislabels=('', 'Distance from radar
(km)'),
...: embellish = True,
...: resolution = '10m')
...:
...:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-6-529f5263cc05> in <module>
1 ax = fig.add_subplot(121, projection=ccrs.PlateCarree())
----> 2 display.plot_ppi_map('RATE_HYBRID', sweep=0, ax=ax, title='',
3 fig=None,
4 vmin=0,vmax=50,
5 width=400000, height=400000,
/usr/lib/python3/dist-packages/pyart/graph/radarmapdisplay.py in
plot_ppi_map(self, field, sweep, mask_tuple, vmin, vmax, cmap, norm,
mask_outside, title, title_flag, colorbar_
flag, colorbar_label, ax, fig, lat_lines, lon_lines, projection, min_lon,
max_lon, min_lat, max_lat, width, height, lon_0, lat_0, resolution,
shapefile, shapefile_kwargs, edges
, gatefilter, filter_transitions, embellish, raster, ticks, ticklabs,
alpha, edgecolors, **kwargs)
298 if norm is not None: # if norm is set do not override with
vmin/vmax
299 vmin = vmax = None
--> 300 pm = ax.pcolormesh(x * 1000., y * 1000., data, alpha=alpha,
301 vmin=vmin, vmax=vmax, cmap=cmap,
302 edgecolors=edgecolors, norm=norm,
/usr/lib/python3/dist-packages/cartopy/mpl/geoaxes.py in wrapper(self,
*args, **kwargs)
316
317 kwargs['transform'] = transform
--> 318 return func(self, *args, **kwargs)
319 return wrapper
320
/usr/lib/python3/dist-packages/cartopy/mpl/geoaxes.py in pcolormesh(self,
*args, **kwargs)
1802 result.__class__ = cartopy.mpl.geocollection.GeoQuadMesh
1803
-> 1804 self.autoscale_view()
1805 return result
1806
/usr/lib/python3/dist-packages/cartopy/mpl/geoaxes.py in autoscale_view(self,
tight, scalex, scaley)
944 scalex=scalex,
scaley=scaley)
945 # Limit the resulting bounds to valid area.
--> 946 if scalex and self._autoscaleXon:
947 bounds = self.get_xbound()
948 self.set_xbound(max(bounds[0],
self.projection.x_limits[0]),
AttributeError: 'GeoAxesSubplot' object has no attribute '_autoscaleXon'
…On Tue, Aug 23, 2022 at 5:55 PM Max Grover ***@***.***> wrote:
Okay! Let me know how that goes... fingers crossed that fixes it!
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Welcome to dependency hell, @srbrodzik. This was fixed in cartopy here: SciTools/cartopy#2054 But I do not know if this is already in their latest release. |
Ok, looks like we have to wait for the next cartopy release: SciTools/cartopy#2054 (comment) |
Yeah - @srbrodzik for some reason your environment has the new experimental version of matplotlib, which causes some serious carroty (geo-plotting) issues... It looks like the maintainers of Cartopy are prioritizing getting a release out to fix this very soon. One thing you could try right now to fix this is to specify conda install -c conda-forge matplotlib=3.5.2 or pip install matplotlib==3.5.2 |
Thanks everyone. Will try the slightly older version of matplotlib (3.5.2)
and keeping check on the new cartopy release.
Stacy
…On Tue, Aug 30, 2022 at 3:23 AM Max Grover ***@***.***> wrote:
Yeah - @srbrodzik <https://github.com/srbrodzik> for some reason your
environment has the new experimental version of matplotlib, which causes
some serious carroty (geo-plotting) issues... It looks like the maintainers
of Cartopy are prioritizing getting a release out to fix this *very* soon.
One thing you could try right now to fix this is to specify
conda install -c conda-forge matplotlib=3.5.2
or
pip install matplotlib==3.5.2
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OK, installed python3-matplotlib v3.5.2 and plots still don't show lat and
lon values on axes. Here's what I have installed on my Debian 11 machine:
updraft:brodzik:99>dpkg -l | grep matplot
ii python-matplotlib-data 3.5.2-2
all Python based plotting
system (data package)
ii python-mpltoolkits.basemap-data 1.2.2+dfsg-1
all matplotlib toolkit to plot on
map projections (data package)
ii python3-matplotlib 3.5.2-2
amd64 Python based plotting
system in a style similar to Matlab (Python 3)
ii python3-mpltoolkits.basemap 1.2.2+dfsg-1+b1
amd64 matplotlib toolkit to plot on map
projections (Python 3)
updraft:brodzik:100>dpkg -l | grep carto
ii python-cartopy-data 0.20.2+dfsg-2
all cartographic library for Python
(package data)
ii python3-cartopy 0.20.2+dfsg-2
amd64 Cartographic library for Python 3
updraft:brodzik:101>dpkg -l | grep pyart
ii python3-arm-pyart 1.12.5-UW2
amd64 Py-ART: Python ARM Radar
Toolkit
The code runs fine on a Debian 10 machine running these packages. However,
I plan to upgrade all our machines to Debian 11 sooner than later.
shear:brodzik:1113>dpkg -l | grep matplot
ii python-matplotlib-data 3.3.3-1
all Python based plotting
system (data package)
rc python-matplotlib2-data 2.2.3-6
all Python based plotting
system (data package)
ii python-mpltoolkits.basemap-data 1.2.0+dfsg-1
all matplotlib toolkit to plot on
map projections (data package)
ii python3-matplotlib 3.3.2-1
amd64 Python based plotting
system in a style similar to Matlab (Python3)
ii python3-mpltoolkits.basemap 1.2.0+dfsg-1
amd64 matplotlib toolkit to plot on
map projections (Python 3)
shear:brodzik:1114>dpkg -l | grep carto
ii python-cartopy-data 0.19.0+dfsg-1~exp1
all cartographic library for Python
(package data)
ii python3-cartopy 0.19.0+dfsg-1~exp1
amd64 Cartographic library for Python 3
shear:brodzik:1115>dpkg -l | grep pyart
ii python3-arm-pyart 1.11.2-1
amd64 Py-ART: Python ARM Radar
Toolkit
…On Tue, Aug 30, 2022 at 3:23 AM Max Grover ***@***.***> wrote:
Yeah - @srbrodzik <https://github.com/srbrodzik> for some reason your
environment has the new experimental version of matplotlib, which causes
some serious carroty (geo-plotting) issues... It looks like the maintainers
of Cartopy are prioritizing getting a release out to fix this *very* soon.
One thing you could try right now to fix this is to specify
conda install -c conda-forge matplotlib=3.5.2
or
pip install matplotlib==3.5.2
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I will try to recreate this environment - thanks for sharing which packages you used. |
Thanks for all your help with this.
Stacy
…On Thu, Sep 1, 2022 at 12:51 AM Max Grover ***@***.***> wrote:
I will try to recreate this environment - thanks for sharing which
packages you used.
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@srbrodzik - I tracked down the issue. You will need to update your version of cartopy to use the new version of matplotlib see this discussion SciTools/cartopy#2054 |
I'll take a look and let you know how it goes.
Thanks for the follow up.
Stacy
…On Thu, Sep 22, 2022 at 7:50 AM Max Grover ***@***.***> wrote:
@srbrodzik <https://github.com/srbrodzik> - I tracked down the issue. You
will need to update your version of cartopy to use the new version of
matplotlib
see this discussion SciTools/cartopy#2054
<SciTools/cartopy#2054>
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@srbrodzik any updates here? Did this solve the issue? |
I've asked our sys admin to install the updated packages but they're not
available yet. I will resubmit the request.
I'll let you know what happens as soon as I can. Thanks for following up
with me.
Stacy
…On Thu, Sep 29, 2022 at 8:24 AM Max Grover ***@***.***> wrote:
@srbrodzik <https://github.com/srbrodzik> any updates here? Did this
solve the issue?
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Hey Max,
Sorry it took so long to get back.
The bad news is that the problem isn't fixed. I've attached the two
versions of the image -- one using a Debian10 system and the other the
upgraded Debian11 system.
This is what is installed on the Debian10 system:
shear:~# apt list --installed | grep matplotlib
python-matplotlib-data/unknown,now 3.3.3-1 all [installed,automatic]
python-matplotlib/now 2.2.4-1 amd64 [installed,local]
python3-matplotlib/now 3.3.2-1 amd64 [installed,local]
shear:~# apt list --installed | grep cartopy
python-cartopy-data/unknown,now 0.19.0+dfsg-1~exp1 all
[installed,automatic]
python3-cartopy/unknown,now 0.19.0+dfsg-1~exp1 amd64 [installed]
shear:~# apt list --installed | grep pyart
python3-arm-pyart/unknown,now 1.11.2-1 amd64 [installed]
This is what is installed on the Debian11 system:
updraft:~# apt list --installed | grep matplotlib
python-matplotlib-data/now 3.6.0 all [installed,local]
python3-matplotlib/now 3.6.0 amd64 [installed,local]
updraft:~# apt list --installed | grep cartopy
python-cartopy-data/now 0.21.0+dfsg-2 all [installed,local]
python3-cartopy/now 0.21.0+dfsg-2 amd64 [installed,local]
updraft:~# apt list --installed | grep pyart
python3-arm-pyart/unknown,now 1.12.5-UW2 amd64 [installed]
I've also attached the code and the input file.
cfrad.20220607_042450.162_to_20220607_043052.36...
<https://drive.google.com/file/d/1cA3Jow5HWj1k5CPw4kH0aANcSm2R4czn/view?usp=drive_web>
…On Thu, Sep 29, 2022 at 8:24 AM Max Grover ***@***.***> wrote:
@srbrodzik <https://github.com/srbrodzik> any updates here? Did this
solve the issue?
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@srbrodzik Apologizes, late response, but just wanted to follow up, were you able to get the issue solved? |
I have some code that I've been using successfully on a Debian 10 machine running pyart v1.11.2. I've tried running it on a Debian 11 machine running pyart v1.12.5 and I get plots but no lat/lon information. See my code and two attached images. Can you explain what I might be missing?
`import os
import sys
import matplotlib.pyplot as plt
import pyart
import numpy as np
from datetime import datetime
import cartopy.crs as ccrs
import warnings
warnings.filterwarnings("ignore")
fname = "/home/disk/monsoon/precip/cfradial/spol_ncar/cfradial/rate/sur/20220607/cfrad.20220607_042450.162_to_20220607_043052.364_SPOL_SUR.nc"
outdir_base = '/home/disk/monsoon/precip/radar/spol_test'
get date and time from filename
filename = os.path.basename(fname)
(prefix,start,junk,junk,junk) = filename.split('.')
start_obj = datetime. strptime(start, '%Y%m%d_%H%M%S')
start_str = start_obj.strftime('%Y/%m/%d %H:%M:%S')
datetime_str = start_obj.strftime('%Y%m%d%H%M%S')
date = start_obj.strftime('%Y%m%d')
create outdir if necessary
outdir = outdir_base+'/'+date
if not os.path.exists(outdir):
os.makedirs(outdir)
read input file & get elevation angles
radar = pyart.io.read(fname)
radar.scan_type = 'sur'
els = radar.fixed_angle['data']
get lowest elevation angle
index = 0
angle = round(els[index],1)
print('lowest angle =',angle)
check to see if image already exists
file_out = 'research.Radar_SPOL.'+datetime_str+'.ppim_rrate_'+str(angle).replace('.','')+'.png'
if not os.path.isfile(outdir+'/'+file_out):
`
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