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