可以把每一个步骤的代码都给我吗？

当然可以，以下是完整的代码实现，包括获取中药数据、提取基原信息以及分类分析：

import requests
from bs4 import BeautifulSoup

# 获取中药数据
def get_data():
    url = "http://www.zhongyao365.com/zycd/index.htm"
    response = requests.get(url)
    soup = BeautifulSoup(response.text, "html.parser")
    links = soup.select(".diseaselist a")
    data = []
    for link in links:
        data.append({
            "name": link.text.strip(),
            "url": "http://www.zhongyao365.com/zycd/" + link["href"]
        })
    return data

# 提取基原信息
def extract_origin(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text, "html.parser")
    trs = soup.select(".yaopin td[valign=top] table tr")
    origin = None
    for tr in trs:
        if "基原" in tr.text:
            origin = tr.find_all("td")[1].text.strip()
            break
    return origin

# 分类分析基原信息
def analyze_origin(data):
    same_all = []
    same_class = {}
    same_genus = {}
    diff_genus = []
    for item in data:
        origin = extract_origin(item["url"])
        if not origin:
            continue
        origin_parts = origin.split("；")[0].split("，")
        if len(origin_parts) == 1:
            same_all.append(item["name"])
        elif len(origin_parts) == 2:
            if origin_parts[0] in same_class:
                same_class[origin_parts[0]].append(item["name"])
            else:
                same_class[origin_parts[0]] = [item["name"]]
        elif len(origin_parts) == 3:
            if origin_parts[0] in same_genus:
                same_genus[origin_parts[0]].append(item["name"])
            else:
                same_genus[origin_parts[0]] = [item["name"]]
        else:
            diff_genus.append(item["name"])
    print("同科同属同种：")
    print(same_all)
    print("同科同属不同种：")
    for key, value in same_class.items():
        print(key + ":")
        print(value)
    print("同科不同属：")
    for key, value in same_genus.items():
        print(key + ":")
        print(value)
    print("科属种均不同：")
    print(diff_genus)

# 主函数
def main():
    data = get_data()
    analyze_origin(data)

if __name__ == "__main__":
    main()

在以上代码中，`get_data()`函数用于获取所有的中药数据，返回一个包含中药名称和链接的字典列表。`extract_origin(url)`函数用于提取某个中药的基原信息。`analyze_origin(data)`函数用于对所有中药的基原信息进行分类分析。最后，`main()`函数用于调用以上三个函数，并输出分类分析结果。