code: # -*- coding: utf-8 -*-
  """
  20181010
  ciklaminima
  """
  import numpy as np
  import matplotlib.pyplot as plt
  import os 
  import pandas as pd
  import _dataPostprLib_ as lib
  import seaborn as sns
  import importlib 
  #%%
  sns.set()
  #sns.set_context("poster")
  sns.set_context("paper")
  #sns.color_palette("Paired")
  seq_col_brew = sns.color_palette('hls', 12)
  sns.set_palette(seq_col_brew)
  
  plt.close('all')
  path_glob = r'U:\projects\0005_Moventas_RCA\40_measurement'
  test_bench_name = ['Data_test_run_63526_PPH-5700', 'Data_test_run_63527_PPH-5700']
  #%%
  path_test_bench_i = path_glob + '\\' + test_bench_name[0]
  path_meas = os.listdir(path_test_bench_i)
  #%% 
  i = 0
  
  lc_repos = []
  for lc in path_meas:
      
  #load_collection = path_meas[0] 
      load_collection = lc 
      #load_collection = path_meas[-1] 
      path_mea_i = path_test_bench_i  + '\\' + load_collection 
      meas_i = os.listdir(path_mea_i)
      
      data_repos = []
      for mf in meas_i:
          h_,r_,freq_,name_  = lib.catch_mea(mf)
          mea_file = path_mea_i + '\\' + mf 
          data_i = pd.read_csv(mea_file,sep=';',header=3, skiprows = [4])
          t_i = lib.time_vector(freq_,data_i)
          mea_dict = {'data': data_i,  
                      't': t_i,
                      'name': name_,
                      'load': load_collection}
          
          data_repos.append(mea_dict)
  #    lib.plot_Torque_Temp_pls1(data_repos)
  #    lib.plot_Torque_Temp_pls2(data_repos)
      lib.plot_Torque_Temp_pls(data_repos)
      lc_repos.append(data_repos)
  #    data_repos_actual = data_repos[i]
  #%%
  #    lib.plot_Torque_Temp_pls1(data_repos)
  #    lib.plot_Torque_Temp_pls2(data_repos)
  #    lib.plot_Torque_Temp_pls(data_repos)
  #    i += 1
apis: pandas.read_csv matplotlib.pyplot.close