Guess when I was in Walt Disney World?

Python script to parse the export file from Apple Health and plot a heart rate chart.

<img src=“https://cdn.uploads.micro.blog/249986/2025/7ea58cf0fd.png" width=“562” height=“495” alt=“Auto-generated description: A heart rate plot from an Apple Watch shows data points between May and August 2015, with blue dots indicating heartbeats per minute on a local timestamp, and highlighted green and yellow bands.”>

import pandas as pd, matplotlib.pyplot as plt
age=53
df = pd.read_xml(
    "/Users/steven/Downloads/apple_health_export/export.xml",
    xpath="//Record[@type='HKQuantityTypeIdentifierHeartRate']",
    parse_dates=['creationDate','startDate','endDate']
)
plt.rcParams.update({
    'font.family': 'PT Sans',
    'timezone': 'America/New_York'
})
chart=df.plot(
    title='Heart Rate Plot (Apple Watch)',
    x='endDate',
    y='value',
    xlabel='timestamp (Local)',
    ylabel='bpm',
    kind='scatter',
    rot=90,
    fontsize=8,
    s=0.5,
    xlim=(pd.Timestamp('2025-05-24T00:00:00-04:00'),pd.Timestamp('2025-08-20T00:00:00-04:00'))
)
plt.axhspan(ymin=(220-age)*0.50,ymax=(220-age)*0.70,color=('g',0.25)) # Moderate effort target zone (50-70%)
plt.axhspan(ymin=(220-age)*0.70,ymax=(220-age)*0.85,color=('y',0.25)) # Strenuous effort target zone (70-85%)
plt.axhline(y=(220-age),color='r',linestyle=':')                      # Age-predicted max heart rate (220-age)