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NSLS-II-CHX / CHX_BugReport

Unified issue-tracker for bugs in the data analysis JupyterHub at CHX
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plot_g2_general labels the plots incorrectly #18

Closed rheadric closed 7 years ago

rheadric commented 7 years ago

I am working with Jupyter notebooks in the 2017_3 directory:

XPCS_Single_2017_V8_with_Monitor_Beam_d0f799_V2 XPCS_Setup_2017_V7_with_ReflMonitor_d0f799_Detector_Shift_V2

plot_g2_general labels the plots with incorrect Qr values. The qval_dict listed below appears to be correct:

{0: array([ 0.00365, 0.0455 ]), 1: array([ 0.00895, 0.0455 ]), 2: array([ 0.01425, 0.0455 ]), 3: array([ 0.01955, 0.0455 ]), 4: array([ 0.02485, 0.0455 ]), 5: array([ 0.03015, 0.0455 ]), 6: array([ 0.03545, 0.0455 ]), 7: array([ 0.04075, 0.0455 ]), 8: array([ 0.04605, 0.0455 ]), 9: array([ 0.05135, 0.0455 ]), 10: array([ 0.05665, 0.0455 ]), 11: array([ 0.06195, 0.0455 ]), 12: array([ 0.00365, 0.0545 ]), 13: array([ 0.00895, 0.0545 ]), 14: array([ 0.01425, 0.0545 ]), 15: array([ 0.01955, 0.0545 ]), 16: array([ 0.02485, 0.0545 ]), 17: array([ 0.03015, 0.0545 ]), 18: array([ 0.03545, 0.0545 ]), 19: array([ 0.04075, 0.0545 ]), 20: array([ 0.04605, 0.0545 ]), 21: array([ 0.05135, 0.0545 ]), 22: array([ 0.05665, 0.0545 ]), 23: array([ 0.06195, 0.0545 ]), 24: array([ 0.0006, 0.068 ])}

For example, plot (1) is labelled as 0.0006, while it should be 0.00365. And plots (2) and (3) are labelled 0.00365 when they should be 0.00895 and 0.01425 respexctively.

yugangzhang commented 7 years ago

@rheadric It is really a bug. I corrected the source code and it will work after you restart the kernel. I also put the pipeline with corrected plot in https://github.com/NSLS-II-CHX/CHX_BugReport/tree/master/Bug_Cor_Pipelines