Python+xlwings制作天气预报表

# 天气--中英文名对照
weather = {
    "Snow": "雪",
    "Sleet": "雨夹雪",
    "Hail": "冰雹",
    "Thunderstorm": "雷阵雨",
    "Heavy Rain": "大雨",
    "Light Rain": "小雨",
    "Showers": "阵雨",
    "Heavy Cloud": "阴",
    "Light Cloud": "多云",
    "Clear": "晴"
}

# 城市--中英文名对照
citys = {
    "北京": "Beijing",
    "成都": "Chengdu",
    "东莞": "Dongguan",
    "广州": "Guangzhou",
    "杭州": "Hangzhou",
    "香港": "Hong Kong",
    "上海": "Shanghai",
    "深圳": "Shenzhen",
    "天津": "Tianjin",
    "武汉": "Wuhan"
}

# 安装xlwings
pip install xlwings -i https://mirror.baidu.com/pypi/simple/

# 命令行运行
xlwings quickstart weatherapp --standalone

import xlwings as xw


def main():
    wb = xw.Book.caller()
    sheet = wb.sheets[0]
    if sheet["A1"].value == "Hello xlwings!":
        sheet["A1"].value = "Bye xlwings!"
    else:
        sheet["A1"].value = "Hello xlwings!"


if __name__ == "__main__":
    xw.Book("weatherapp.xlsm").set_mock_caller()
    main()

import json
from pathlib import Path
import requests
import xlwings as xw

# 天气--中英文名对照
weather = {
    "Snow": "雪",
    "Sleet": "雨夹雪",
    "Hail": "冰雹",
    "Thunderstorm": "雷阵雨",
    "Heavy Rain": "大雨",
    "Light Rain": "小雨",
    "Showers": "阵雨",
    "Heavy Cloud": "阴",
    "Light Cloud": "多云",
    "Clear": "晴"
}

# 城市--中英文名对照
citys = {
    "北京": "Beijing",
    "成都": "Chengdu",
    "东莞": "Dongguan",
    "广州": "Guangzhou",
    "杭州": "Hangzhou",
    "香港": "Hong Kong",
    "上海": "Shanghai",
    "深圳": "Shenzhen",
    "天津": "Tianjin",
    "武汉": "Wuhan"
}


def main():
    # 通过runpython从excel中调用python函数
    wb = xw.Book.caller()
    sht = wb.sheets[0]

    # 从Excel中读取城市信息
    city_name = citys[sht.range("city_name").value]

    # 获取城市的ID值, 即woeid
    URL_CITY = f"https://www.metaweather.com/api/location/search/?query={city_name}"
    response_city = requests.request("GET", URL_CITY)
    city_title = json.loads(response_city.text)[0]["title"]
    city_id = json.loads(response_city.text)[0]["woeid"]

    # 获取城市的天气信息
    URL_WEATHER = f"https://www.metaweather.com/api/location/{city_id}/"
    response_weather = requests.request("GET", URL_WEATHER)
    weather_data = json.loads(response_weather.text)["consolidated_weather"]

    # 创建空列表, 存储数据
    min_temp = []
    max_temp = []
    weather_state_name = []
    weather_state_abbr = []
    applicable_date = []

    # 处理数据
    for index, day in enumerate(weather_data):
        # 最低温度
        min_temp.append(weather_data[index]["min_temp"])
        # 最高温度
        max_temp.append(weather_data[index]["max_temp"])
        # 天气情况
        weather_state_name.append(weather[weather_data[index]["weather_state_name"]])
        # 天气情况缩写
        weather_state_abbr.append(weather_data[index]["weather_state_abbr"])
        # 日期
        applicable_date.append(weather_data[index]["applicable_date"])

    # 将获取到的值填充到Excel中
    sht.range("C5").value = applicable_date
    sht.range("C6").value = weather_state_name
    sht.range("C7").value = max_temp
    sht.range("C8").value = min_temp
    sht.range("D3").value = city_title

    # 创建列表
    icon_names = ["no.1", "no.2", "no.3", "no.4", "no.5", "no.6"]

    # 设置天气图片路径
    icon_path = Path(__file__).parent / "images"

    # 将天气情况与天气图片进行匹配，更新表格
    for icon, abbr in zip(icon_names, weather_state_abbr):
        image_path = Path(icon_path, abbr + ".png")
        sht.pictures.add(image_path, name=icon, update=True)


if __name__ == "__main__":
    # 设置用于调试caller()的excel文件，可以直接在python里运行
    xw.Book("weatherapp.xlsm").set_mock_caller()
    main()