就餐人数数据可视化，用python，输出完整代码： 姓名 工种 开始时间 结束时间 就餐情况 备注...

python
import pandas as pd
import matplotlib.pyplot as plt

# 输入数据
data = [
    {"序号": 1, "姓名": "刘向全", "工种": "支护工", "开始时间": "2025-06-14", "结束时间": "2025-07-09", "就餐情况": "全天堂食"},
    {"序号": 2, "姓名": "吴成林", "工种": "支护工", "开始时间": "2025-07-01", "结束时间": "2025-07-09", "就餐情况": "全天堂食"},
    {"序号": 3, "姓名": "郑绍林", "工种": "支护工", "开始时间": "2025-06-11", "结束时间": "2025-07-12", "就餐情况": "全天堂食"},
    {"序号": 1, "姓名": "白红春", "工种": "反井钻", "开始时间": "2025-06-12", "结束时间": None, "就餐情况": "中午打包"},
    {"序号": 2, "姓名": "罗正开", "工种": "反井钻", "开始时间": "2025-06-12", "结束时间": None, "就餐情况": "中午打包"},
    {"序号": 3, "姓名": "陈波", "工种": "反井钻", "开始时间": "2025-06-12", "结束时间": None, "就餐情况": "中午打包"},
    {"序号": 4, "姓名": "梁磊", "工种": "挖机", "开始时间": "2025-06-11", "结束时间": None, "就餐情况": "全天堂食"},
    {"序号": 5, "姓名": "李肖肖", "工种": "随车吊司机", "开始时间": "2025-06-11", "结束时间": None, "就餐情况": "全天堂食"},
    {"序号": 6, "姓名": "李艳鹏", "工种": "挖机", "开始时间": "2025-06-11", "结束时间": None, "就餐情况": "全天堂食"},
    {"序号": 7, "姓名": "赵浪", "工种": "支护工", "开始时间": "2025-06-11", "结束时间": None, "就餐情况": "全天堂食"},
    {"序号": 8, "姓名": "牛定德", "工种": "支护工", "开始时间": "2025-06-11", "结束时间": None, "就餐情况": "全天堂食"},
    {"序号": 9, "姓名": "王明才", "工种": "支护工", "开始时间": "2025-06-12", "结束时间": None, "就餐情况": "全天堂食"},
    {"序号": 10, "姓名": "陈勇", "工种": "支护工", "开始时间": "2025-07-01", "结束时间": None, "就餐情况": "全天堂食"},
    {"序号": 11, "姓名": "周光贤", "工种": "支护工", "开始时间": "2025-07-01", "结束时间": None, "就餐情况": "全天堂食"},
    {"序号": 12, "姓名": "朱国华", "工种": "支护工", "开始时间": "2025-07-12", "结束时间": None, "就餐情况": "全天堂食"},
]

df = pd.DataFrame(data)

# 生成各类就餐指标
df["午餐就餐"] = df["就餐情况"].apply(lambda x: 1 if x in ["全天堂食", "中午打包"] else 0)
df["午餐打包"] = df["就餐情况"].apply(lambda x: 1 if x == "中午打包" else 0)
df["晚餐就餐"] = df["就餐情况"].apply(lambda x: 1 if x == "全天堂食" else 0)
df["晚餐打包"] = df["就餐情况"].apply(lambda x: 1 if x == "晚上打包" else 0)  # 数据中暂无

counts = {
    "午餐就餐总人数": df["午餐就餐"].sum(),
    "午餐打包人数": df["午餐打包"].sum(),
    "晚餐就餐总人数": df["晚餐就餐"].sum(),
    "晚餐打包人数": df["晚餐打包"].sum(),
}

# 绘图
plt.figure(figsize=(8, 6))
bars = plt.bar(counts.keys(), counts.values())
plt.title("就餐人数数据统计")
plt.ylabel("人数")

# 在柱状图上标注数值
for bar in bars:
    height = bar.get_height()
    plt.text(bar.get_x() + bar.get_width() / 2, height + 0.15, f"{int(height)}", ha='center', va='bottom')

plt.tight_layout()
plt.show()