The 135th

Swimming is one of my favorite sports.

I had a sport watch and I used it to record my swimming activity. I used it during swimming for 134 times. In the 135th swimming, the water infiltrated into the watch and the watch is not working now.

Looking at the data, I swam 134 times from May, 2017 to March 2019. It means I swam 1~2 times per week in the past two years. The total distance was 116.8 mile, which more than a one way distance from campus to Tjmaxx, Marquette. The total activity time is 80.3 hours, which means I used at 36 mins for each recored activity.

Type	Swimming
Activities	134
Total Distance	116.8 mile
Total Activity Time	80.3 h
Average Speed	1.5 mph

In details, I swam more often during summer time, probably summer time is a good season for swimming. In terms of winter, it may too cold or I went to skiing.

From April, 2017 to March, 2019: Swimming Activities

The python code to plot this figure was showed as the following:

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# -*- coding: utf-8 -*-
"""
Created on Thu Jun 18 10:36:07 2020

@author: Jack
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Import Data
times17 = [0,14,5,9,8,4,12,12,0,1,2,1]
dates17 = pd.date_range('2017-04-01', periods=12, freq='M')

times18 = [1,5,10,13,10,6,3,7,1,5,2,3]
dates18 = pd.date_range('2018-04-01', periods=12, freq='M')

# Draw Plots
ax1=plt.subplot(211)
plt.plot(dates17, times17, color='tab:red', linestyle='dotted')
ax1.set_ylabel('Count')
ax1.grid(alpha=.2)
plt.ylim(0,15)
plt.yticks(np.arange(0,15, 5))
plt.title('Dates vs Swimming Activities', fontsize=14)

ax2=plt.subplot(212)
plt.plot(dates18, times18, color='tab:blue', linestyle='dashed')
ax2.set_xlabel('Date')
ax2.set_ylabel('Count')
ax2.grid(alpha=.2)
plt.ylim(0,15)
plt.yticks(np.arange(0,15, 5))

plt.show()

Well, look at the watch at last. The pixels messed up... Broken Sport Watch

The 135th

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