Changeset 775 in ETALON

Timestamp:

Jun 6, 2018, 10:43:32 AM (6 years ago)

Author:

moutardier

Message:

add a security on disable the vertical motor

Location:

BPM

Files:

• initialise_motors.py (modified) (2 diffs)
• print_datas.py (modified) (2 diffs)

BPM/initialise_motors.py

@@ -50 +50 @@
 def motor_disable(motor, verbose=0):
     "Enables a motor"
+    if motor == 2: # security to avoid issue with vertical motor
+        print('are you sure to wanted to disable vertical motor ? \n yes or no')
+    x = raw_input()
+    while not (x == 'yes' or x == 'no' or x == 'y' or x == 'n' or x == 'YES' or x == 'NO' or x == 'Y' or x == 'N'):
+        print('Do you want to disable vertical motor ?')
+        x = raw_input()
+    if (x == 'no' or x == 'n' or  x == 'NO' or x == 'N'):
+        print('Be carful with disable vertical motor')
+        exit()
     msg = str(motor) + 'CD'
     motor_send(msg, verbose)
@@ -356 +365 @@
 
 
+
     
 #controller_hello()

BPM/print_datas.py

@@ +1 @@
+import numpy as np
 import matplotlib.pyplot as plt
+from scipy import stats
 
 def float_list(l):
@@ -40 +42 @@
     for i in range(5):
         L[i] = float_list(L[i])
-    plt.plot(L[0],L[1], label = "BMP_ref")
-    plt.plot(L[0],L[2], label = "BMP_impr")
-    plt.plot(L[0],L[3], label = "BMP_ref")
-    plt.plot(L[0],L[4], label = "BMP_impr")
+    print_graph(L)
+
+def print_graph(L):
+    a = np.array([L[0][i],L[1][i]] for i in range(len(L[0])))
+    fig = plt.figure(1)
+    plt.clf()
+    
+    lr1 = stats.linregress(L[0],L[1]) # return tuple (pente,ordonnee a l'origine, coef de correlation, p-value, erreur standard de l'estimation)
+    plt.plot(L[0],L[1], "r", label = "BMP_ref")
+    plt.plot(L[0],[lr1.slope*i + lr1.intercept for i in L[0]], "r--", label = "BMP_ref regression line, \nerror = "+str(lr1.stderr)+",\ncorrelation coefficient = "+str(lr1.rvalue))
+    
+    lr2 = stats.linregress(L[0],L[2])
+    plt.plot(L[0],L[2], "b", label = "BMP_impr")
+    plt.plot(L[0],[lr2.slope*i + lr2.intercept for i in L[0]], "b--", label = "BMP_impr regression line, \nerror = "+str(lr2.stderr)+",\ncorrelation coefficient = "+str(lr2.rvalue))
+
+    lr3 = stats.linregress(L[0],L[3])
+    plt.plot(L[0],L[3], "g", label = "BMP_ref")
+    plt.plot(L[0],[lr3.slope*i + lr3.intercept for i in L[0]], "g--", label = "BMP_ref regression line, \nerror = "+str(lr3.stderr)+",\ncorrelation coefficient = "+str(lr3.rvalue))
+
+    lr4 = stats.linregress(L[0],L[4])
+    plt.plot(L[0],L[4], "m", label = "BMP_impr")
+    plt.plot(L[0],[lr4.slope*i + lr4.intercept for i in L[0]], "m--", label = "BMP_impr regression line, \nerror = "+str(lr4.stderr)+",\ncorrelation coefficient = "+str(lr4.rvalue))
+    
     plt.legend()
-    plt.ylabel("length in motor step")
+    plt.xlabel("length in motor step")
     plt.ylabel("tension in V")
     plt.show()
 
+    
+"""    
+    ax2 = fig.add_axes((0.1,0.1,0.8,0.0))
+    ax2.yaxis.set_visible(False) # hide the yaxis
+    ax2.set_xticklabels(10*L[0])
+    ax2.set_xlabel("lenght in mm")
+    plt.show()
+"""