mirror of
https://github.com/aykhans/HuaweiHealthDataVisualization.git
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39 lines
998 B
Python
39 lines
998 B
Python
import plotly.express as px
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import json
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import streamlit as st
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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 i in range(len(data)):
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if data[i]['type'] == 7:
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heart_rate.append(float(data[i]['samplePoints'][0]['value']))
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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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for i in range(0, len(heart_rate), average_number):
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t = heart_rate[i:i + average_number]
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heart_rate2.append(sum(t) / len(t))
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heart_rate = heart_rate2
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st.plotly_chart(
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px.line(x=range(len(heart_rate)), y=heart_rate)
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) |