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34
main.py
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34
main.py
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import sqlite3
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import matplotlib.pyplot as plt
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from datetime import datetime
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from collections import defaultdict
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with sqlite3.connect("doordash.db") as connection:
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c = connection.cursor()
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results = c.execute("select STORE_NAME, DELIVERY_TIME, sum(cast(SUBTOTAL as decimal)) from doordash group by DELIVERY_TIME, STORE_NAME;")
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hours = defaultdict(lambda: [])
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for result in results:
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try:
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time = datetime.fromisoformat(result[1])
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hours[time.hour] = hours[time.hour] + [time]
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except:
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pass
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keys = list(hours.keys())
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keys.sort()
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for key in keys:
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print(key, len(hours.get(key)))
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fig, ax = plt.subplots()
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hour_list = keys
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counts = [len(hours.get(key)) for key in hours]
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ax.bar(hour_list, counts)
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ax.set_ylabel("moments of weakness")
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ax.set_title("akshay's moments of weakness")
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plt.show()
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