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def test_io_mpldataset(): mpl_ds = act.io.mpl.read_sigma_mplv5(act.tests.EXAMPLE_SIGMA_MPLV5) # Tests fields assert 'channel_1' in mpl_ds.variables.keys() assert 'temp_0' in mpl_ds.variables.keys() assert mpl_ds.channel_1.values.shape == (102, 1000) # Tests coordinates assert 'time' in mpl_ds.coords.keys() assert 'range' in mpl_ds.coords.keys() assert mpl_ds.coords['time'].values.shape == (102,) assert mpl_ds.coords['range'].values.shape == (1000,) assert '_arm_standards_flag' in mpl_ds.attrs.keys() # Tests attributes assert '_datastream' in mpl_ds.attrs.keys() mpl_ds.close()
Returns:
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[9], line 1 ----> 1 test_io_mpldataset() Cell In[8], line 2, in test_io_mpldataset() 1 def test_io_mpldataset(): ----> 2 mpl_ds = act.io.mpl.read_sigma_mplv5(act.tests.EXAMPLE_SIGMA_MPLV5) 4 # Tests fields 5 assert 'channel_1' in mpl_ds.variables.keys() File ~\dev\ACT\act\io\mpl.py:75, in read_sigma_mplv5(filename, save_nc, out_nc_path, afterpulse, dead_time, overlap, **kwargs) 62 for f in filename: 63 task.append( 64 dask.delayed(proc_sigma_mplv5_read)( 65 f, (...) 72 ) 73 ) ---> 75 results_ds = dask.compute(*task) 77 ds = xr.concat(results_ds, 'time') 79 return ds File ~\mambaforge\envs\act-docs\Lib\site-packages\dask\base.py:660, in compute(traverse, optimize_graph, scheduler, get, *args, **kwargs) 657 postcomputes.append(x.__dask_postcompute__()) 659 with shorten_traceback(): --> 660 results = schedule(dsk, keys, **kwargs) 662 return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)]) File ~\dev\ACT\act\io\mpl.py:147, in proc_sigma_mplv5_read(f, save_nc, out_nc_path, afterpulse, dead_time, overlap, **kwargs) 140 #os.remove(tmpfile2) 141 142 # Calculate range in meters 143 #ds['range'] = 0.5 * 1* 1 * (ds.range + 0.5) 144 145 # Swap the coordinates to be time and range 146 ds = ds.swap_dims({'profile': 'time'}) --> 147 ds = ds.assign_coords({'time': ds.time, 'range': ds.range}) 149 # Add metadata 150 is_arm_file_flag = check_arm_standards(ds) File ~\mambaforge\envs\act-docs\Lib\site-packages\xarray\core\common.py:300, in AttrAccessMixin.__getattr__(self, name) 298 with suppress(KeyError): 299 return source[name] --> 300 raise AttributeError( 301 f"{type(self).__name__!r} object has no attribute {name!r}" 302 ) AttributeError: 'Dataset' object has no attribute 'range'
The text was updated successfully, but these errors were encountered:
We didn't catch this in newer versions because there is a try and except exception catch
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It seems the issue is mpl2nc is producing files with barely anything in them..
xarray.Dataset Dimensions: profile: 0 Coordinates: (0) Data variables: unit (profile) uint16 ... Indexes: (0) Attributes: (0) ``
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Returns:
The text was updated successfully, but these errors were encountered: