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fitbit-collect/plot.py

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+import json
+from datetime import datetime
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def plot_steps(data):
+    steps = data['activities-log-steps']
+
+    x = [datetime.strptime(d['dateTime'], '%Y-%M-%d').strftime("%A") for d in steps]
+    y = [float(d['value']) for d in steps]
+
+    plt.bar(x,y)
+    plt.title('Steps last 7 days')
+    plt.show()
+
+
+def plot_sleep(data):
+    sleep = data['sleep']
+    x = [datetime.strptime(d['dateOfSleep'], '%Y-%M-%d').strftime("%A") for d in sleep][::-1]
+
+    deep = [float(d['levels']['summary']['deep']['minutes'])/60.0 for d in sleep][::-1]
+    light = [float(d['levels']['summary']['light']['minutes'])/60.0 for d in sleep][::-1]
+    rem = [float(d['levels']['summary']['rem']['minutes'])/60.0 for d in sleep][::-1]
+    awake = [float(d['levels']['summary']['wake']['minutes'])/60.0 for d in sleep][::-1]
+
+    barWidth = 0.15
+
+    r1 = np.arange(len(deep))
+    r2 = [x + barWidth for x in r1]
+    r3 = [x + barWidth for x in r2]
+    r4 = [x + barWidth for x in r3]
+
+    # Make the plot
+    plt.bar(r1, awake, color='#ffa600', width=barWidth, edgecolor='white', label='Awake')
+    plt.bar(r2, rem, color='#ff6361', width=barWidth, edgecolor='white', label='REM')
+    plt.bar(r3, light, color='#bc5090', width=barWidth, edgecolor='white', label='Light')
+    plt.bar(r4, deep, color='#003f5c', width=barWidth, edgecolor='white', label='Deep')
+
+    # Add xticks on the middle of the group bars
+    plt.xlabel('Day', fontweight='bold')
+    plt.ylabel('Hours', fontweight='bold')
+    plt.xticks([r + barWidth for r in range(len(deep))], x)
+ 
+    # Create legend & Show graphic
+    plt.legend()
+    plt.show()
+
+if __name__ == '__main__':
+    with open('fitbit_data.json') as f:
+        data = json.load(f)
+
+    #plot_steps(data)
+    plot_sleep(data)
+
+
+