2020-10-26 18:57:43 +00:00
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##| Copyright: (C) 2019-2020 Kevin Larke <contact AT larke DOT org>
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##| License: GNU GPL version 3.0 or above. See the accompanying LICENSE file.
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2020-02-29 05:01:58 +00:00
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import os,sys,json
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import common
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import matplotlib.pyplot as plt
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import plot_seq_1
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def plot_calibrate( cfg, pitch, dataD ):
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dataL = [ (d['pulse_us'], d['hm']['db'], d['targetDb'], d['matchFl'],d['skipMeasFl'],d['annIdx']) for d in dataD['measD'][pitch] ]
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udmL = [(t[0],t[1],t[3]) for t in dataL]
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udmL = sorted( udmL, key=lambda x: x[0] )
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usL,dbL,matchL = zip(*udmL)
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fig,ax = plt.subplots()
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musL = [us for us,db,m in udmL if m]
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mdbL = [db for us,db,m in udmL if m]
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ax.plot(musL,mdbL,marker='o',color='red',linestyle='None')
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ax.plot(usL,dbL,marker='.')
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initDataDir = os.path.expanduser(dataD['cfg']['inDir'])
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usL,dbL,_,_,_ = plot_seq_1.get_merged_pulse_db_measurements( initDataDir, int(pitch), cfg['analysisD'] )
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ax.plot(usL,dbL,marker='.')
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plt.show()
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if __name__ == "__main__":
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inDir = sys.argv[1]
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cfgFn = sys.argv[2]
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pitch = sys.argv[3]
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cfg = common.parse_yaml_cfg(cfgFn)
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cfg = cfg.calibrateArgs
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dataFn = os.path.join(inDir,"meas.json")
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with open(dataFn,"r") as f:
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dataD = json.load(f)
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print("pitchL:",dataD['cfg']['pitchL'],"targetDbL:",dataD['cfg']['targetDbL'])
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plot_calibrate( cfg, pitch, dataD )
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