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43 lines
1.1 KiB
43 lines
1.1 KiB
from pathlib import Path
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import csv
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from datetime import datetime
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import matplotlib.pyplot as plt
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path = Path('weather_data/death_valley_2021_simple.csv')
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lines = path.read_text().splitlines()
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reader = csv.reader(lines)
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header_row = next(reader)
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# Extract dates, and high and low temperatures.
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dates, highs, lows = [], [], []
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for row in reader:
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current_date = datetime.strptime(row[2], '%Y-%m-%d')
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try:
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high = int(row[3])
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low = int(row[4])
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except ValueError:
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print(f"Missing data for {current_date}")
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else:
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dates.append(current_date)
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highs.append(high)
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lows.append(low)
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# Plot the high and low temperatures.
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plt.style.use('seaborn')
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fig, ax = plt.subplots()
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ax.plot(dates, highs, color='red', alpha=0.5)
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ax.plot(dates, lows, color='blue', alpha=0.5)
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ax.fill_between(dates, highs, lows, facecolor='blue', alpha=0.1)
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# Format plot.
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title = "Daily High and Low Temperatures, 2021\nDeath Valley, CA"
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ax.set_title(title, fontsize=20)
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fig.autofmt_xdate()
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ax.set_ylabel("Temperature (F)", fontsize=16)
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ax.tick_params(labelsize=16)
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plt.show()
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