38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
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#!/usr/bin/env python3
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import datetime
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import pandas as pd
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from matplotlib import pyplot as plt
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import matplotlib.dates as md
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plt.rcParams["figure.autolayout"] = True
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data_frame = pd.read_csv("data.csv", delimiter=';')
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# Subplot, to move legend next to plot
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# 1 row, 1 col, index: 1
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plt.subplot(1,1,1)
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# Rotate long date text
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plt.xticks(rotation=25)
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# pyplot doesn't like timestamps
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# convert them to "date-numbers" and format
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datenums = md.date2num([datetime.datetime.fromtimestamp(ts) for ts in data_frame.timestamp])
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xfmt = md.DateFormatter('%Y-%m-%d %H:%M:%S')
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ax=plt.gca()
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ax.xaxis.set_major_formatter(xfmt)
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ax.set_ylabel('Temperature [°C]')
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# Data
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plt.plot(datenums, data_frame.tempWarmSide1C, label = 'Warm 1', color = 'orange')
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plt.plot(datenums, data_frame.tempWarmSide2C, label = 'Warm 2', color = 'orangered')
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plt.plot(datenums, data_frame.tempCoolSide1C, label = 'Cool 1', color = 'blue')
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plt.plot(datenums, data_frame.tempCoolSide2C, label = 'Cool 2', color = 'navy')
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plt.legend(bbox_to_anchor=(1,1), loc="upper left")
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plt.show()
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