added lots of .py

dioderata/correlate.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python
+
+from time import sleep
+from collections import deque
+import numpy as np
+from zoetrope import aniplot as plt
+from scipy.stats.stats import pearsonr
+from bstrd import BS, bsstream
+plt.blit = False
+plt.style.use('ggplot')
+
+def pumpedshots(events, *arrays):
+    laser = events[:, 18]
+    darkShot = events[:, 21]
+    pumped_shots = np.logical_and.reduce((laser, np.logical_not(darkShot)))
+    return [a[pumped_shots] for a in arrays]
+
+#chname_diode  = "SLAAR11-LSCP1-FNS:CH0:VAL_GET"
+#chname_diode1 = "SARES11-GES1:CH1_VAL_GET"
+chname_diode1 = "SARES12-GES1:PR1_CH2_VAL_GET"
+chname_i0 = "SAROP11-PBPS110:INTENSITY"
+chname_events = "SAR-CVME-TIFALL4:EvtSet"
+length = 500
+
+# create channel
+ch_diode1  = BS(chname_diode1)
+ch_i0 = BS(chname_i0)
+ch_events = BS(chname_events)
+
+n = 200
+sigs1 = np.empty(n)
+i0s = np.empty(n)
+evts = np.empty((n, 256))
+
+# create the empty plot
+pd = plt.plot([0])
+
+# some plot settings
+plt.fig.set_figheight(6)
+plt.fig.set_figwidth(7)
+
+for counter, data in zip(plt.show(), bsstream):
+    print(counter)
+
+    for i in range(n):
+        sigs1[i] = ch_diode1.get()
+        i0s[i] = ch_i0.get()
+        evts[i] = ch_events.get()
+        next(bsstream) # this gets the next set of data
+
+    pearscoeff1, _ = pearsonr(i0s, sigs1)
+    pumpi0s, pumpsigs = pumpedshots(evts, i0s, sigs1)
+
+    #xs = np.arange(len(pp_sigs))
+    plt.tight_layout()
+    plt.clf()
+    plt.scatter(i0s, sigs1)
+    plt.scatter(pumpi0s, pumpsigs)
+    plt.title("{}".format(round(pearscoeff1, 4)))
+    plt.xlabel('sarop11-pbps110:intensity')
+    plt.ylabel('tfy, sares11-ges1:ch1_val_get')
+    plt.show()
+    
+bsstream.close()