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1. Base Python 创建数组和Person class
# Create a list of 100 numbers.
numbers = [i for i in range(100)]
def get_even_numbers(numbers):
"""Return a list of even numbers from the given list."""
return [i for i in numbers if i % 2 == 0]
even_numbers = get_even_numbers(numbers)
odd_numbers = [i for i in numbers if i not in even_numbers]
print("Even numbers: {}".format(even_numbers))
print("Odd numbers: {}".format(odd_numbers))
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
# A list of 10 people.
PEOPLE = [
Person("John", 32),
Person("Jane", 28),
Person("Bob", 30),
Person("Alice", 24),
Person("Jill", 26),
Person("Jack", 30),
Person("Jen", 28),
Person("Bill", 32),
Person("Barbara", 24),
Person("Jeff", 30),
]
2. Leetcode 转化罗马数字为阿拉伯数字
"""
A program that converts a Roman numberal to an integer.
"""
ROMAN_NUMERAL = {
"I": 1,
"V": 5,
"X": 10,
"L": 50,
"C": 100,
"D": 500,
"M": 1000,
}
def roman_to_int(roman_numeral: str) -> int:
"""
Convert a Roman numeral to an integer.
"""
result = 0
for i, numeral in enumerate(roman_numeral):
value = ROMAN_NUMERAL[numeral]
if i + 1 < len(roman_numeral) and ROMAN_NUMERAL[roman_numeral[i + 1]] > value:
result -= value
else:
result += value
return result
TEST_CASES = [
("I", 1),
("II", 2),
("III", 3),
("IV", 4),
("V", 5),
("VI", 6),
("VII", 7),
("VIII", 8),
("IX", 9),
("X", 10),
("XI", 11),
("XII", 12),
("XIII", 13),
("XIV", 14),
("XV", 15),
("XVI", 16),
("XVII", 17),
("XVIII", 18),
("XIX", 19),
("XX", 20),
("XXI", 21)
]
for test_input, expected in TEST_CASES:
result = roman_to_int(test_input)
assert result == expected, f"Expected {expected}, got {result}"
print(result, result == expected)
3. 获取股票数据Alpha Vantage API
https://www.alphavantage.co/documentation/
注册 api key
https://www.alphavantage.co/support/#api-key
"""
Use Alpha Vantage API to get stock data and plot it in a graph.
"""
import requests
import pandas as pd
import matplotlib.pyplot as plt
API_KEY = "RTART83NP1RD7G8X"
STOCK_SYMBOL = "MSFT"
def get_daily_stock_data(symbol: str):
"""
Get daily stock data for the given symbol.
"""
url = f"https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol={symbol}&apikey={API_KEY}"
response = requests.get(url)
response.raise_for_status()
data = response.json()
return data
def get_intraday_stock_data(symbol: str):
"""
Get intraday stock data for the given symbol.
"""
url = f"https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={symbol}&interval=5min&apikey={API_KEY}"
response = requests.get(url)
response.raise_for_status()
data = response.json()
return data
def main():
data = get_intraday_stock_data(STOCK_SYMBOL)
# print(data)
# Turn the data into a pandas DataFrame.
df = pd.DataFrame(data["Time Series (5min)"]).T
df.index = pd.to_datetime(df.index)
df = df.astype(float)
# Print the dataframes.
print(df.head())
# Plot the data in a graph.
plt.plot(df["4. close"])
plt.show()
pass
if __name__ == "__main__":
main()
参考
https://www.youtube.com/watch?v=tG8PPne7ef0&ab_channel=pixegami