2025-09-10:仓库迁移

6.数据编码与处理/1.读写CSV数据.py

@@ -0,0 +1,37 @@
+import csv
+from collections import namedtuple
+
+if __name__ == "__main__":
+    # 想要读取csv数据，可以使用csv库
+    with open("6.数据编码与处理/1.stocks.csv") as f:
+        f_csv = csv.reader(f)
+        headers = next(f_csv)
+        print(headers)
+
+        for row in f_csv:
+            print(row)
+
+        # 但是这样处理就非常不妙，所有的东西混在一起，变成奇奇怪怪的样子，不如使用named_tuple
+        f.seek(0)
+
+        Row = namedtuple("Row", headers)
+        for row in f_csv:
+            print(row)
+            row = Row(*row)
+            print(row.Symbol)
+
+        f.seek(0)
+        f_csv = csv.DictReader(f)
+        for row in f_csv:
+            print(row['Symbol'])
+
+    # 如果想要插入一条数据，可以使用writer
+    rows = [
+        ("BB", 123, "9/12/2024", "9:36AM", -12, 999)
+    ]
+
+    with open("6.数据编码与处理/1.stocks.csv", 'w+') as f:
+        f_csv = csv.writer(f)
+        f_csv.writerows(rows)
+
+    # 我的评价是不如pandas