diff --git "a/25 \346\261\237\346\231\272\351\221\253/20260610 pandas\345\205\245\351\227\250.md" "b/25 \346\261\237\346\231\272\351\221\253/20260610 pandas\345\205\245\351\227\250.md"
new file mode 100644
index 0000000000000000000000000000000000000000..255f83bc1b77209c3b19fbdc4a402ac411bb98a5
--- /dev/null
+++ "b/25 \346\261\237\346\231\272\351\221\253/20260610 pandas\345\205\245\351\227\250.md"	
@@ -0,0 +1,31 @@
+#  给定以下DataFrame
+
+import pandas as pd df = pd.DataFrame([ {"id": 1, "name": "张三", "score": 86}, {"id": 2, "name": "李四", "score": 73}, {"id": 3, "name": "王五", "score": 92}, ])
+
+# 请写出代码：
+
+# 1. 选择name列
+
+name= df['name'] print(name)
+
+# 2. 选择第2行
+
+iloc2= df.iloc[2] print(iloc2)
+
+# 3. 选择前2行的name和score列
+
+score_only= df[['name','score']] print(score_only.head(2))
+
+# 写出代码完成以下任务：
+
+# 1. 检查每列的缺失值数量
+
+print(df.isnull().sum())
+
+# 2. 删除score列为空的行
+
+before = len(df) df = df.dropna(subset=["score"]) print(f"删除缺失值后：{len(df)}人（删除{before - len(df)}人）")
+
+# 3. 用0填充其他缺失值
+
+before = len(df) df = df.fillna(0) print(f"（填充{before - len(df)}项缺失值）")
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diff --git "a/25 \346\261\237\346\231\272\351\221\253/20260618 \346\225\264\345\220\210\346\225\260\346\215\256\346\223\215\344\275\234.md" "b/25 \346\261\237\346\231\272\351\221\253/20260618 \346\225\264\345\220\210\346\225\260\346\215\256\346\223\215\344\275\234.md"
new file mode 100644
index 0000000000000000000000000000000000000000..d00a230894619a43143b774ce9146a8a062e0048
--- /dev/null
+++ "b/25 \346\261\237\346\231\272\351\221\253/20260618 \346\225\264\345\220\210\346\225\260\346\215\256\346\223\215\344\275\234.md"	
@@ -0,0 +1,72 @@
+增删改查运行
+
+```python
+from Noooo1 import init_Noooo1,insert_Noooo1,select_Noooo1,delete_Noooo1,update_Noooo1
+init_Noooo1()
+
+# book = ("龙族",99)
+# insert_Noooo1(book)
+
+books = select_Noooo1()
+print(books)
+
+newbook = ("蛊真人",91,2)
+update_Noooo1(newbook)
+
+ids = (5,)
+delete_Noooo1(ids)
+```
+
+
+
+
+
+
+
+另一个代码
+
+```python
+import sqlite3 as s3
+import pandas as pd
+
+
+def init_Noooo1():
+    conn = s3.connect('books.db')
+    conn.execute("""
+        CREATE TABLE IF NOT EXISTS books(
+        id INTEGER PRIMARY KEY AUTOINCREMENT,
+        title text NOT NULL,
+        price real not null
+        )
+    """)
+    conn.close()
+
+
+def select_Noooo1():
+    conn = s3.connect('books.db')
+    data = conn.execute("SELECT * FROM books").fetchall()
+    pd.DataFrame(data, columns=['id', 'title', 'price'])
+    conn.close()
+    return data
+
+
+def insert_Noooo1(book):
+    conn = s3.connect('books.db')
+    conn.execute("insert into books (title,price) values (?,?)", book)
+    conn.commit()
+    conn.close()
+
+
+def delete_Noooo1(id):
+    conn = s3.connect('books.db')
+    conn.execute("delete from books where id=?", id)
+    conn.commit()
+    conn.close()
+
+
+def update_Noooo1(book):
+    conn = s3.connect('books.db')
+    conn.execute('update books set title=?,price=? where id=?', book)
+    conn.commit()
+    conn.close()
+```
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