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@@ -1,6 +1,7 @@
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import csv
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import os
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import numpy as np
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+from matplotlib import pyplot as plt
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sum_distance_joints = np.zeros(18)
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counter = 0
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@@ -17,8 +18,31 @@ def vector_string_to_float(vector):
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vector = vector.split(';')
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vector = list(map(float, vector))
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return vector
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+fig, ax = plt.subplots(1,2, sharey=True)
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+for root, dir, files in os.walk(os.path.join(os.getcwd(), 'DataCSV\\name\\')):
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+ for file in files:
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+ if file.endswith(".csv"):
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+ path = os.path.join(root, file)
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+ with open(path, newline='') as csvfile:
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+ reader = csv.reader(csvfile)
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+ header = next(reader)
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+ for row in reader:
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+ for i in range(18):
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+ demo = vector_string_to_float(row[i])
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+ body = vector_string_to_float(row[i+18])
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+ distance = np.linalg.norm(np.subtract(demo, body))
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+ sum_distance_joints[i] += distance
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+ counter += 1
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+ x = [header[i][5:] for i in range(18) ]
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+ y = [sum_distance_joints[i] / counter for i in range(18)]
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+ if "FirstPerson" in file:
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+ ax[0].scatter(x,y, label="1st")
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+ ax[0].set_label("1st")
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+ else:
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+ ax[1].scatter(x,y, label="3rd")
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+plt.show()
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-path = os.path.join(os.getcwd(), 'Assets\\demo_and_body_positions.csv')
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+path = os.path.join(os.getcwd(), 'DataCSV\\name\\FirstPersonPerspective_OneArm_Forward_HapticFeedback_Slow.csv')
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with open(path, newline='') as csvfile:
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reader = csv.reader(csvfile)
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header = next(reader)
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