Assignment Task 2

.history/Analyze_20240207183142.py

@@ -0,0 +1,37 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data, group_by: str = 'Route'):
+    """
+    Compute the average delay aggregated by specified column
+    """
+<<<<<<< HEAD
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+=======
+    return data.groupby(group_by).mean().reset_index()
+>>>>>>> origin/feature1
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data, group_by='Route')
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+
+
+if __name__ == '__main__':
+    main()

.history/Analyze_20240207183321.py

@@ -0,0 +1,38 @@
+
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data, group_by: str = 'Route'):
+    """
+    Compute the average delay aggregated by specified column
+    """
+<<<<<<< HEAD
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+=======
+    return data.groupby(group_by).mean().reset_index()
+>>>>>>> origin/feature1
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data, group_by='Route')
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+
+
+if __name__ == '__main__':
+    main()

.history/Analyze_20240207183332.py

@@ -0,0 +1,38 @@
+#RESOLVED
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data, group_by: str = 'Route'):
+    """
+    Compute the average delay aggregated by specified column
+    """
+<<<<<<< HEAD
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+=======
+    return data.groupby(group_by).mean().reset_index()
+>>>>>>> origin/feature1
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data, group_by='Route')
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+
+
+if __name__ == '__main__':
+    main()

.history/Analyze_20240207183335.py

@@ -0,0 +1,38 @@
+#RESOLVED FIXED 
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data, group_by: str = 'Route'):
+    """
+    Compute the average delay aggregated by specified column
+    """
+<<<<<<< HEAD
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+=======
+    return data.groupby(group_by).mean().reset_index()
+>>>>>>> origin/feature1
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data, group_by='Route')
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+
+
+if __name__ == '__main__':
+    main()

.history/Analyze_20240211193044.py

@@ -0,0 +1,33 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data):
+    """
+    Compute the average delay for each route
+    """
+    return data.groupby('Route').mean().reset_index()
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data)
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+
+
+if __name__ == '__main__':
+    main()

.history/Analyze_20240211195121.py

@@ -0,0 +1,34 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data):
+    """
+    Compute the average delay for each route
+    """
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data)
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+    plt.show()
+
+
+if __name__ == '__main__':
+    main()

.history/Analyze_20240211195122.py

@@ -0,0 +1,34 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data):
+    """
+    Compute the average delay for each route
+    """
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data)
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+    plt.show()
+
+
+if __name__ == '__main__':
+    main()

.history/Analyze_20240211195123.py

@@ -0,0 +1,34 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data):
+    """
+    Compute the average delay for each route
+    """
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data)
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+    plt.show()
+
+
+if __name__ == '__main__':
+    main()

.history/Analyze_20240211195125.py

@@ -0,0 +1,34 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data):
+    """
+    Compute the average delay for each route
+    """
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data)
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+    plt.show()
+
+
+if __name__ == '__main__':
+    main()

.history/Analyze_20240211225832.py

@@ -0,0 +1,43 @@
+# FIXED AND TESTED PYTHON CODE
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def import_data():
+    """
+    Import data from the TTC Bus Delay dataset
+    """
+    return pd.read_csv('ttc-bus-delay-data-2023.csv')
+
+
+def compute_avg_delay(data, group_by: str = 'Route'):
+    """
+    Compute the average delay aggregated by specified column
+    """
+
+
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+
+    return data.groupby(group_by).mean().reset_index()
+
+
+    return data.groupby('Route')['Min Delay'].mean().reset_index()
+
+
+
+def main():
+    """
+    Main function
+    """
+    data = import_data()
+    avg_delay = compute_avg_delay(data, group_by='Route')
+
+    plt.hist(avg_delay['Min Delay'], bins=30)
+    plt.title('Average Delay Distribution')
+    plt.xlabel('Average Delay (minutes)')
+    plt.show()
+
+
+if __name__ == '__main__':
+    main()