mirror of
https://github.com/aykhans/HuaweiHealthDataVisualization.git
synced 2025-04-21 15:53:25 +00:00
91 lines
2.3 KiB
Python
91 lines
2.3 KiB
Python
# sourcery skip: list-comprehension
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import pandas as pd
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import plotly.express as px
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import json
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import streamlit as st
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from datetime import (datetime,
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timedelta)
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from pathlib import Path
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data_dir = Path(__file__).resolve().parent.parent / 'data'
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st.set_page_config(page_title = 'Health Data Visualization',
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page_icon = ':bar_chart:',
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layout = 'wide')
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with open(data_dir / 'huawei_health_data.json') as f:
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data = json.load(f)
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heart_rate = []
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for d in data:
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if d['type'] == 7:
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heart_rate.append(
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{
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'rate': float(d['samplePoints'][0]['value']),
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'time': (datetime.fromtimestamp(
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int(str(d['samplePoints'][0]['endTime'])[:10])
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) + timedelta(
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hours = int(data[0]['timeZone'][1:].replace('0', ''))
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)
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)
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}
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)
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if is_all_data := st.sidebar.checkbox(f'All Data ({len(heart_rate)})', False):
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heart_rate = pd.DataFrame(heart_rate)
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else:
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day = st.sidebar.date_input(
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'Select Day',
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heart_rate[0]['time'],
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min_value = heart_rate[0]['time'],
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max_value = heart_rate[-1]['time']
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).strftime("%d-%m-%Y")
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heart_rate = pd.DataFrame(
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list(
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filter(
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lambda t: t['time'].strftime("%d-%m-%Y") == day, heart_rate
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)
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)
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)
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x = list(map(
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lambda t: t.strftime("%d-%m-%Y %X"),
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heart_rate['time']
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))
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y = heart_rate['rate']
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st.sidebar.header('Split Data:')
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average_number = st.sidebar.number_input(
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f'Amount of data split (0 - {len(heart_rate)-1}): ',
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step = 1,
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min_value = 0,
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max_value = len(heart_rate)-1
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)
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if average_number > 1:
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heart_rate2 = []
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rates = list(y)
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for i in range(0, len(rates), average_number):
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t = rates[i:i + average_number]
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heart_rate2.append(sum(t) / len(t))
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x = range(len(heart_rate2))
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y = heart_rate2
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st.plotly_chart(
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px.line(
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x = x, y = y
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)
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.update_layout(
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xaxis = dict(
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rangeslider = dict(
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visible = True
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),
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type = "-" # ['-', 'linear', 'log', 'date', 'category', 'multicategory']
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)
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)
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) |