#1212 closed defect (fixed)
Bug in Iqxqy plotting non rectangular / square matrices?
Reported by: | ricardo | Owned by: | ricardo |
---|---|---|---|
Priority: | major | Milestone: | SasView 4.2.1 |
Component: | SasView | Keywords: | plot |
Cc: | Work Package: | SasView Bug Fixing |
Description
My users are complaining about SASView giving negative Y Axis for the following dataset:
https://pastebin.com/raw/buBiU5JG
This is what sasviews gives:
This is what I get with Matplotlib:
This data is not a squared Maxtrix (looks more a sparse matrix):
In [3]: data = np.genfromtxt(filepath, skip_header=2, names="qx, qy, iqxqy, err" ...: ) In [4]: qx, qy, iqxqy, err = data['qx'], data['qy'], data['iqxqy'], data['err'] In [5]: len(np.unique(qx)) Out[5]: 78 In [6]: len(np.unique(qy)) Out[6]: 94 In [7]: len(qx) Out[7]: 6978 In [8]: len(qy) Out[8]: 6978 In [9]: 78*94 Out[9]: 7332
Change History (8)
comment:1 Changed 11 months ago by ricardo
- Summary changed from Bug in Iqxqy plotting not non rectangular / square matrices? to Bug in Iqxqy plotting non rectangular / square matrices?
comment:2 Changed 11 months ago by pkienzle
comment:3 Changed 11 months ago by ricardo
Just did some debugging.
The problem appears to be in sas/sascalc/dataloader/file_reader_base_class.py FileReader::_remove_nans_in_data (line 218).
Before calling this function (line 273) both ymin and ymax are good.
comment:4 Changed 11 months ago by pkienzle
Look at line 278:
dataset.Ymax = np.max(dataset.qX_data)
comment:5 Changed 11 months ago by ricardo
- Owner changed from mathieu to ricardo
- Status changed from new to assigned
comment:6 Changed 11 months ago by ricardo
comment:7 Changed 10 months ago by pkienzle
- Resolution set to fixed
- Status changed from assigned to closed
comment:8 Changed 10 months ago by butler
- Milestone changed from SasView 4.3.0 to SasView 4.2.1
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Confirmed the behaviour in current master.
The bug is in the assignment of qy values in the 2D data, not in the plotting. Plotting uses equal axes. Since the qx range of the displayed data is twice the qy range, the image appears horizontally stretched and vertically squashed.
The error is could be in the loader not preserving the qy values correctly, or in the conversion of the data into uniform steps in qx/qy, or most like to the final assignment of the qy axis to the 2D array.