"""
unning_log.py: A running logger for runners
DS2501: Lab for Intermediate Programming with Data
"""
class RunningLog:
def __init__(self):
""" The running log constructor. How you store each run is up to you! """
XXXXXXXXXXpass
def add_run(self, hms, dist_km):
""" Record a run. The time is given as 'hh:mm:ss' and the distance is in kilometers """
XXXXXXXXXXpass
def num_runs(self):
""" How many run records are in the database? """
XXXXXXXXXXreturn 0
def plot(self):
""" Generate a line plot showing the average pace (minutes per kilometer) fo
XXXXXXXXXXrun1, run2, .... run N. The x-axis is the run number, and the y-axis is the average
XXXXXXXXXXpace for that run. """
XXXXXXXXXXpass
def save(self, filename):
""" OPTIONAL FOR A FIVE: Save the data to a file. """
XXXXXXXXXXpass
def load(self, filename):
""" OPTIONAL FOR A FIVE: Load the data from a file """
XXXXXXXXXXpass
def main():
# Instantiate a new running log
logger = RunningLog()
# This is optional
logger.load("running.log")
# Here are 4 sample running events
logger.add_run("35:22:14", 5.1)
logger.add_run("37:17:59", 5.5)
logger.add_run("32:00:01", 4.9)
logger.add_run("30:00:00", 5.0)
# Add at least 6 more...
# Output some data
print(f"There are {logger.num_runs()} runs in the database")
logger.plot()
# This is also optional
logger.save("running.log")
if __name__ == '__main__':
main()
Microsoft Word - ds2500_lab07_runlog.docx
DS 2501: Intermediate Programming with Data / Lab Practicum
Prof. Rachlin
Northeastern University
A logging tool for runners
A certain professor runs five kilometers a day and would like to better track his progress. In this lab you
will create a class called RunningLog that can be used to track each run and plot the runner’s
performance over time. Each time we record a run, we store the running time and the total distance.
From this we can produce plots showing the average pace (minutes per kilometer) for every recorded
un.
The RunningLog class has been started for you. Your task is to:
1. Implement all the defined methods
2. Test your RunningLog class on 10 manually logged runs events
3. For extra credit, support loading data from a file and saving data to a file
Submit your code (running_log.py) and a visualization showing the runner’s average pace for
every recorded run.