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Yolo-Obj-Detection/box_plot_generation.py

+#REFERENCE BOXPLOT: https://www.geeksforgeeks.org/box-plot-in-python-using-matplotlib/
+#REFERENCE EXCEL: https://stackabuse.com/reading-and-writing-excel-files-in-python-with-the-pandas-library/
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+
+
+#immporting csv file
+df = pd.read_csv (r'csv\csv_eyediap_n_detector\1_A_FT_M_DnE.csv')
+print (df)
+
+
+detector_x_error = df['eyediap_center_x'] - df['center_x']
+detector_y_error = df['eyediap_center_y'] - df['center_y']
+print('detector_x_error',detector_x_error, 'detector_y_error', detector_y_error)
+
+
+
+
+#plotting bocplot graph 
+# Creating dataset
+# np.random.seed(10)
+# data = np.random.normal(y.x1, 20, 200)
+ 
+# fig = plt.figure(figsize =(10, 7))
+ 
+# # Creating plot
+# plt.boxplot(data)
+ 
+# # show plot
+# plt.show()
+