100 lines
2.5 KiB
Python
100 lines
2.5 KiB
Python
# Import packages
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from dash import Dash, dcc, html, Input, Output
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import feffery_antd_components as fac
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import plotly.graph_objs as go
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from listen import VoltageReceiver
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def read_from_file(filename):
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"""
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This function read data from a local .txt file
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:param filename: str, name of the file
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:return: str, data read from the file
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"""
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with open(filename, 'r') as file:
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data = file.read().replace('\n', '')
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return data
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def write_to_file(data, filename):
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"""
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This function write data to a local .txt file
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:param data: str, data to be written to the file
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:param filename: str, name of the file
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"""
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with open(filename, 'w') as file:
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file.write(data)
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def go_figure_set(X, Y, figuremode, width=600, height=400, title=''):
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# 创建折线图
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line_chart = go.Figure(data=go.Scatter(x=X, y=Y, mode=figuremode))
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line_chart.update_layout(
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autosize=False,
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width=width,
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height=height,
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title=title
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)
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return line_chart
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# Initialize the app
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app = Dash(__name__)
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X = list(range(1, 1001))
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Y = [0] * 1000
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# App layout
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app.layout = html.Div(
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[
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html.Div([
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dcc.Graph(
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id='line-chart',
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figure=go_figure_set(X, Y, 'lines'),
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)], style={
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'display': 'inline-block',
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'position': 'absolute', # 使用绝对定位
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'right': '20px', # 距离页面右边20px
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'top': '20px', # 距离页面顶部20px
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'width': '600px' # 设置图表容器的宽度
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}), # 将折线图添加到Dash应用中
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dcc.Interval(
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id='interval-update',
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interval=1*10, # in milliseconds
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),
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],
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style={
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'padding': '50px 100px'
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},
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)
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# Define callback to update statistic
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@app.callback(
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Output('line-chart', 'figure'),
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Input('interval-update', 'n_intervals')
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)
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def update_output(n_intervals):
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data = read_from_file('test.txt')
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if data == '#':
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pass
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else:
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Y.append(float(data))
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Y.pop(0)
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write_to_file('#', "test.txt")
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line_chart = go_figure_set(X, Y, 'lines')
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# 更新图表布局，设置新的X轴范围
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line_chart.update_layout(xaxis=dict(range=[0, 2001]))
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line_chart.add_trace(go.Scatter(x=list(range(1001, 1051)), y=list(range(1, 51)), mode='lines',line=dict(color='red')))
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return line_chart
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# Run the app
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if __name__ == '__main__':
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app.run_server(debug=True, port=8050)
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