changes mod

traitementV2/accpt4.py

@@ -0,0 +1,28 @@
+import csv
+import matplotlib.pyplot as plt
+
+plusoumoins = 20
+
+def opencsv(file):
+    with open(file, newline='') as csvfile:
+        return [row for row in csv.DictReader(csvfile, delimiter=';')]
+    
+data = opencsv('traitementV2/vit13.txt')
+
+
+for i in range (len(data)-plusoumoins):
+    accel = (float(data[i+plusoumoins]['vitesse']) - float(data[i-plusoumoins]['vitesse'])) / (float(data[i+plusoumoins]['temps']) - float(data[i-plusoumoins]['temps']))*100
+    print(f'accel {i}:', accel)
+
+    plt.figure(plusoumoins,figsize=[16,9])
+    plt.xlim([-1,476])
+    plt.ylim([-1, 1])
+
+    plt.plot([i],[accel], marker='o', linestyle='-')
+    # plt.show
+    # plt.pause(0.00001)
+    if i == 457-plusoumoins-2:
+        plt.savefig(f'traitementV2/accel±{plusoumoins}.png')
+        plt.clf
+    # with open("traitementV2/vit13.txt", 'a', encoding='utf-8') as file:
+    #     file.write('\n' + str(i) + ';' + str(vitesse))

traitementV2/pt13.txt

@@ -0,0 +1,476 @@
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traitementV2/visupt4.py

@@ -0,0 +1,72 @@
+import matplotlib.pyplot as plt
+from colour import Color
+
+def rainbow_gradient(num_colors):
+    colors = []
+    gradient = list(Color("violet").range_to(Color("red"), num_colors))
+    for color in gradient:
+        colors.append(color.hex_l)
+    return colors
+
+framenb = 1
+
+keyvalues = []
+
+with open('traitementV2/distance.txt', 'r') as f:
+    lignes = f.readlines()
+    for ligne in lignes:
+        line = eval(ligne)
+
+        allkeys = list(line.keys())
+        allkeys.sort()
+        linedict = {i: line[i] for i in allkeys}
+        
+        linedict = {cle: valeur for cle, valeur in linedict.items() if valeur >= 0}
+
+        for key, value in linedict.items():
+            if key not in keyvalues:
+                keyvalues.append(key)
+
+keypositions = {}
+
+for key, i in zip(keyvalues, range(1, len(keyvalues)+1)):
+    keypositions[key] = i
+print('keypositions: ', keypositions)
+colors = rainbow_gradient(len(keypositions)+1)
+
+with open('traitementV2/distance.txt', 'r') as f:
+    lignes = f.readlines()
+    for ligne in lignes:
+        line = eval(ligne)
+
+        allkeys = list(line.keys())
+        allkeys.sort()
+        linedict = {i: line[i] for i in allkeys}
+        
+        linedict = {cle: valeur for cle, valeur in linedict.items() if valeur >= 0}     
+
+        plt.figure(1,figsize=[16,9])
+        plt.xlim([-1,780])
+        plt.ylim([-20, 150])
+
+        plt.grid()
+
+        nb = 0
+
+        for key, value in linedict.items():
+            if key == 13:
+                # print('value: ', value)
+                # print(framenb)
+                with open("traitementV2/pt13.txt", 'a', encoding='utf-8') as file:
+                    file.write('\n' + str(framenb) + ';' + str(value))
+
+                plt.plot([framenb],[value], marker='o', linestyle='-', color=colors[keypositions[key]])       # , color=colors[key]
+
+            nb += 1
+
+        # plt.draw()
+        # plt.pause(0.0001)
+        if framenb == 780:
+            plt.savefig(f'traitementV2/{framenb}.png')
+        framenb += 1
+        # plt.clf()

traitementV2/vit13.txt

@@ -0,0 +1,457 @@
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traitementV2/vtpt4.py

@@ -0,0 +1,28 @@
+import csv
+import matplotlib.pyplot as plt
+
+plusoumoins = 19
+
+def opencsv(file):
+    with open(file, newline='') as csvfile:
+        return [row for row in csv.DictReader(csvfile, delimiter=';')]
+    
+data = opencsv('traitementV2/pt13.txt')
+
+
+for i in range (len(data)-plusoumoins):
+    vitesse = -(float(data[i+plusoumoins]['distance']) - float(data[i-plusoumoins]['distance'])) / (float(data[i+plusoumoins]['temps']) - float(data[i-plusoumoins]['temps']))
+    # print(f'vitesse {i}:', -vitesse)
+
+    plt.figure(plusoumoins,figsize=[16,9])
+    plt.xlim([-1,476])
+    plt.ylim([-1, 1])
+
+    plt.plot([i],[vitesse], marker='o', linestyle='-')
+    # plt.show
+    # plt.pause(0.00001)
+    # if i == 474-plusoumoins:
+    #     plt.savefig(f'traitementV2/vitesse±{plusoumoins}.png')
+    #     plt.clf
+    with open("traitementV2/vit13.txt", 'a', encoding='utf-8') as file:
+        file.write('\n' + str(i) + ';' + str(vitesse))

traitementV2/vtpt4mod.py

@@ -0,0 +1,35 @@
+import csv
+import matplotlib.pyplot as plt
+
+# plusoumoins = 6
+
+def opencsv(file):
+    with open(file, newline='') as csvfile:
+        return [row for row in csv.DictReader(csvfile, delimiter=';')]
+    
+data = opencsv('traitementV2/pt13.txt')
+
+def tester(plusoumoins):
+    for i in range (len(data)-plusoumoins):
+    # print(data[i+1]['temps'])
+    # print(data[i-1]['temps'])
+    # print(data[i+1]['distance'])
+    # print(data[i-1]['distance'])
+        vitesse = (float(data[i+plusoumoins]['distance']) - float(data[i-plusoumoins]['distance'])) / (float(data[i+plusoumoins]['temps']) - float(data[i-plusoumoins]['temps']))
+        print(f'vitesse {i}:', -vitesse)
+
+        plt.figure(plusoumoins,figsize=[16,9])
+        plt.xlim([-1,476])
+        plt.ylim([-1, 1])
+
+        plt.plot([i],[-vitesse], marker='o', linestyle='-')
+        # plt.show
+        # plt.pause(0.00001)
+        if i == 474-plusoumoins:
+            plt.savefig(f'traitementV2/vitesse±{plusoumoins}.png')
+            plt.clf
+
+# for i in range(1, 20):
+#     tester(i)
+
+tester(100)