66 lines
2.9 KiB
Python
66 lines
2.9 KiB
Python
import pandas as pd
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import plotly.graph_objects as go
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# Load the data (assuming you've already loaded and processed it as shown)
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data = pd.read_csv('06-25_07-07.csv')
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# Convert 'Date/Time (--4:0:0)' column to datetime
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data['Date/Time (--4:0:0)'] = pd.to_datetime(data['Date/Time (--4:0:0)'])
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# Set the datetime column as the index
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data.set_index('Date/Time (--4:0:0)', inplace=True)
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# Apply a smoothing function (moving average)
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window_size = 10
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data['Sewer Water In Smooth'] = data['Sewer Water In'].rolling(window=window_size, center=True).mean()
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data['Sewer Water Out Smooth'] = data['Sewer Water Out'].rolling(window=window_size, center=True).mean()
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data['Return Air Smooth'] = data['Return Air'].rolling(window=window_size, center=True).mean()
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data['Supply Air Smooth'] = data['Supply Air'].rolling(window=window_size, center=True).mean()
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# Ensure index is a datetime index for ease of filtering
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data.index = pd.to_datetime(data.index)
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# Loop through each calendar day and create separate plots
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for day in pd.Index(data.index.date).unique():
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# Filter data for the current day
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day_data = data[data.index.date == day]
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# Create the plot for the current day
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fig = go.Figure()
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fig.add_trace(go.Scatter(x=day_data.index, y=day_data['Sewer Water In Smooth'], mode='lines', name='Sewer Water In',
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line=dict(shape='spline', color='blue', width=2, dash='solid')))
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fig.add_trace(go.Scatter(x=day_data.index, y=day_data['Sewer Water Out Smooth'], mode='lines', name='Sewer Water Out',
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line=dict(shape='spline', color='red', width=2, dash='solid')))
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fig.add_trace(go.Scatter(x=day_data.index, y=day_data['Return Air Smooth'], mode='lines', name='Return Air',
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line=dict(shape='spline', color='orange', width=2, dash='solid')))
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fig.add_trace(go.Scatter(x=day_data.index, y=day_data['Supply Air Smooth'], mode='lines', name='Supply Air',
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line=dict(shape='spline', color='green', width=2, dash='solid')))
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fig.update_layout(
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title=dict(
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text=f'Temperature at Inlets and Outlets of the Heat Exchanger - {day}',
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font=dict(size=20, family='Arial', color='black', weight='bold')
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),
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xaxis_title=dict(
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text='Date/Time',
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font=dict(size=18, family='Arial', color='black', weight='bold')
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),
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yaxis_title=dict(
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text='Temperature (F)',
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font=dict(size=18, family='Arial', color='black', weight='bold'),
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),
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legend=dict(
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title=dict(font=dict(size=15, family='Arial', color='black', weight='bold')),
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font=dict(size=14, family='Arial', color='black', weight='bold')
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),
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font=dict(size=14),
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width=1400,
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height=800
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)
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# Save the plot (requires kaleido package)
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fig.write_image(f'temperature_variations_without_Q_{day}.png')
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