update data_visualizer

scripts/data_visualizer.ipynb

@@ -53,9 +53,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#Pfade der Daten\n",
+    "#Pfade der Daten (meas_path für measurement_logger Data / data_path für ilc_rosproxy Data)\n",
     "meas_path = local_path + \"/ilc_Meas\"\n",
-    "data_path = local_path + \"/test\"\n",
+    "data_path = local_path + \"/test\"    \n",
     "\n",
     "if os.path.exists(plot_path) == False:\n",
     "    os.makedirs(plot_path)"
 %% Cell type:code id: tags:
 
 ``` python
 import matplotlib.pyplot as plt
 import numpy as np
 import os
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 local_path =  "/home/ipa325/Documents"
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 def read(file):
     with open(file, 'r') as f:
         header_str = f.readline().strip()
     data = np.genfromtxt(file,
                          delimiter=',',
                          autostrip=True,
                          skip_header=1)
     return data, header_str
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 def error_convergence(data):
     y = np.linalg.norm(data[:,1:], ord=2, axis=0)
     return y
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
-#Pfade der Daten
+#Pfade der Daten (meas_path für measurement_logger Data / data_path für ilc_rosproxy Data)
 meas_path = local_path + "/ilc_Meas"
 data_path = local_path + "/test"
 
 if os.path.exists(plot_path) == False:
     os.makedirs(plot_path)
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 #hacky plots für den Measurement_logger
 plt.figure()
 num=-1
 for n in range(0,100):
     for i in range(0,100):
             for j in range(0,100):
                 try:
                     if n<10:
                         if i <10:
                             if j<10:
                                 err,h = read(meas_path + "/force_meas_2021-03-22_0{}_0{}_0{}.csv".format(n,i,j))
                             else:
                                 err,h = read(meas_path + "/force_meas_2021-03-22_0{}_0{}_{}.csv".format(n,i,j))
                         else:
                             if j<10:
                                 err,h = read(meas_path + "/force_meas_2021-03-22_0{}_{}_0{}.csv".format(n,i,j))
                             else:
                                 err,h = read(meas_path + "/force_meas_2021-03-22_0{}_{}_{}.csv".format(n,i,j))
                     else:
                         if i<10:
                             if j<10:
                                 err,h = read(meas_path + "/force_meas_2021-03-22_{}_0{}_0{}.csv".format(n,i,j))
                             else:
                                 err,h = read(meas_path + "/force_meas_2021-03-22_{}_0{}_{}.csv".format(n,i,j))
                         else:
                             if j<10:
                                 err,h = read(meas_path + "/force_meas_2021-03-22_{}_{}_0{}.csv".format(n,i,j))
                             else:
                                 err,h = read(meas_path + "/force_meas_2021-03-22_{}_{}_{}.csv".format(n,i,j))
                     num=num+1
                     plt.plot(err.T[0],-1*err.T[6], label = num)
                 except:
                     pass
 #plt.legend()
 plt.show()
 ```
 
 %%%% Output: display_data
 
 
 %% Cell type:code id: tags:
 
 ``` python
 #plots für daten in data_path (von ilc_rosproxy geschrieben)
 
 plt.figure()
 convergence = []
 for i in range(0,100):
     try:
         err,h = read(data_path + "/read_error/read_error_{}.csv".format(i))
         convergence.append( np.max( error_convergence(err) ) )
         plt.plot(err.T[0],err.T[1])
     except:
         pass
 plt.show()
 
 print(convergence)
 plt.figure()
 plt.plot(convergence)
 plt.show
 ```