Create python3_glyph.py

python3_glyphs.py

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+from random import randint
+from statistics import mean,variance,stdev
+import numpy as np
+import matplotlib.pyplot as plt
+from collections import Counter
+
+def quest_of_one_frog():
+    remaining_pad_count = 100
+    current_pad = 1
+    number_of_hops = 0
+    while remaining_pad_count > 0:
+        hop_to_pad = randint(current_pad,remaining_pad_count)
+        remaining_pad_count = remaining_pad_count - hop_to_pad
+        number_of_hops += 1
+    return number_of_hops
+
+def all_quests_in_pond():
+    number_of_quests = 100
+    hop_count_list = []
+
+    for i in range(0,number_of_quests):
+        hop_count_list.append(quest_of_one_frog())
+
+    return hop_count_list, mean(hop_count_list), round(variance(hop_count_list),3) , round(stdev(hop_count_list),3)
+
+def all_ponds_in_forest():
+
+    list_means = []
+    list_variance = []
+    list_stdev = []
+    list_pond = []
+    list_hops = []
+
+    result_counts = []
+
+    pond_number = 0
+    number_of_ponds = 10
+
+    for pond in range(0,number_of_ponds):
+
+        hop_count_list, pond_mean , pond_variance , pond_stdev = all_quests_in_pond()
+
+        list_hops.extend(hop_count_list)
+
+        list_means.append(pond_mean)
+        list_variance.append(pond_variance) 
+        list_stdev.append(pond_stdev)
+        list_pond.append(pond_number)
+
+        pond_number += 1
+
+    return list_hops, list_pond , list_means , list_stdev , list_variance
+
+def main():
+
+    list_hops, list_pond , list_means , list_stdev , list_variance = all_ponds_in_forest()
+
+    hist_dict = Counter(list_hops)
+
+    fig = plt.figure()
+
+    ax1 = fig.add_subplot(311)
+    ax1.plot(list_pond,list_means, color="navy", linewidth=3)
+    ax1.set_title("Some Graphs and Things")
+
+    ax1.set_ylabel('Average Hops')
+
+    ax2 = fig.add_subplot(312, sharex=ax1)
+    ax2.plot(list_pond,list_variance, color="green", linewidth=3)
+    ax2.set_ylabel('Variance in Hops')
+
+    ax3 = fig.add_subplot(313)
+    ax3.bar(hist_dict.keys(), hist_dict.values(), color="gray")
+    ax3.set_ylabel(f'Histogram:\n {len(list_hops)} Frogs')
+
+    plt.show()   
+    return
+
+if __name__ == "__main__":
+    main()