Comments (3)
I created the qcfilter.get_masked_data() method [located in qc.qcfilter file] to return filtered data based on QC status. Are you suggesting a filter to change the data in the object directly?
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I think we should spend some time working on this. I suggest using the qcfilter.get_masked_data() to get a clean numpy array and then put that back into the object. This would then make plots with all the filtered data removed. That would be easier than not changing the data in the object and needing to call the method for every processing task. Since xarray has so many option for processing we should use them. The other question is can we convert the dask array containing number arrays to numpy masked arrays? Will that work with the xarray processing options?
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This has been resolved with PR #245 .
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Related Issues (20)
- Sunset Stamen maps in GeoDisplay and potentially replace HOT 1
- Consistent IO Names for V2.0.0
- Reorganize the Unit Tests HOT 4
- Change default behavior of datafilter
- Update ARM DQR webservice HOT 3
- setup.cfg excluding armfiles.py HOT 4
- ACT HomeyerRainbow cmap not found HOT 6
- Error while using add_dqr_to_qc: flag_values and flag_masks not set as expected HOT 9
- Make version 2.0 release prominent on landing page HOT 1
- arm_site_location_search - varying output HOT 5
- Streaking with missing data in 2D plots HOT 1
- Secondary Y-Display breaks convention with Matplotlib
- Verify that unit tests for plotting are comparing and doing what it's supposed to. HOT 6
- Add Hysplit data support HOT 1
- Add examples for working with INP/Aerosol data HOT 5
- Support for Aerial Measurements (UAS, Aircraft, TBS) HOT 7
- ACT does not support QC format from ARM's new Simple QC Feature in Data Discovery HOT 2
- add_dqr_to_qc not working properly HOT 2
- Rename CSV submodule HOT 8
- Add warning to change units when fails HOT 1
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