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