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| time_volt.abcd = rosparam.get_param("/csv_proc/abcd") |
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| time_volt.args |
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| time_volt.bbox |
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| time_volt.cost_min = min(cost_values_i) |
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| time_volt.cost_min_index = cost_values_i.index(cost_min) |
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list | time_volt.cost_values = [] |
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list | time_volt.cost_values_i = [] |
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| time_volt.csvreader = csv.reader(csvfile, delimiter=' ', quotechar='|') |
| Opening the csv file and getting the values for time and voltage. More...
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|
| time_volt.default_flow_style |
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| time_volt.filename = rosparam.get_param("/csv_proc/file_name") |
| Parameters for the Python script. More...
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| time_volt.format |
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| time_volt.mode = rosparam.get_param("/csv_proc/mode") |
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| time_volt.new_x = values_filt*cos(theta)-poly_vals*sin(theta) |
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| time_volt.new_y = values_filt*sin(theta)+poly_vals*cos(theta) |
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| time_volt.new_y_temp = new_y |
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list | time_volt.off_values = [] |
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int | time_volt.off_y = -6000 |
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list | time_volt.off_y_values_i = [] |
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| time_volt.opts |
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| time_volt.p1 = np.poly1d(z1) |
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| time_volt.p2 = np.poly1d(z2) |
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| time_volt.p3 = np.poly1d(z3) |
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| time_volt.poly_vals = np.polyval(abcd, values_filt) |
| Polynomial Evaluation for the filtered signal and the function from the non-moving case. More...
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| time_volt.robot_name = rosparam.get_param("/csv_proc/robot_name") |
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| time_volt.row = row[0].split(',') |
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| time_volt.secArray = np.asarray(time_values) |
| Plotting graphics for the Voltage vs Time. More...
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| time_volt.ss = lambday1,y2:((y1-y2)**2).sum() |
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| time_volt.ss1 = ss(time_values,new_y_temp) |
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float | time_volt.theta = -0.2 |
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list | time_volt.theta_values = [] |
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| time_volt.time_values = time_values[::-1] |
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| time_volt.values_filt = sg.filter(voltArray) |
| Savitzky Golay Filter Applied to the Battery Voltage. More...
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float | time_volt.volt_v = (float)(row[1])*1000.0 |
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| time_volt.voltArray = np.asarray(volt_values) |
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| time_volt.xp = np.linspace(49000, 43000, 100) |
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| time_volt.yaml_file = open("voltage_filter.yaml", "w") |
|
dictionary | time_volt.yl = {} |
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| time_volt.z1 = np.polyfit(voltArray, secArray,1) |
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| time_volt.z1_res = time_values-z1_val |
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| time_volt.z1_val = np.polyval(z1, volt_values) |
| Residuals Analysis. More...
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| time_volt.z2 = np.polyfit(voltArray, secArray,2) |
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| time_volt.z2_res = time_values-z2_val |
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| time_volt.z2_val = np.polyval(z2, volt_values) |
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| time_volt.z3 = np.polyfit(voltArray, secArray,3) |
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list | time_volt.z3_l = [] |
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| time_volt.z3_res = time_values-z3_val |
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| time_volt.z3_val = np.polyval(z3, volt_values) |
|