csv

csv/eggs.csv

+Spam Spam Spam Spam Spam |Baked Beans|
+Spam |Lovely Spam| |Wonderful Spam|

csv/name.csv

+name,age,sex
+小明,20,男
+小红,22,女

csv/name2.csv

+name,age
+小明,20

csv/name3.csv

+name,age
+小明,20
+小红,21

csv/name4.csv

+first_name,last_name
+Baked,Beans
+Lovely,Spam
+Wonderful,Spam

csv/read_csv.py

+import csv
+
+# 第1种
+file_name = 'name.csv'
+with open(file_name, newline='') as f:
+    reader = csv.reader(f, dialect='excel')
+    header_row = next(reader)
+    for index, column_header in enumerate(header_row):
+        print(index, column_header)
+
+    names, ages, sexs = [], [], []
+    for row in reader:
+        names.append(row[0])
+        ages.append(int(row[1]))
+        sexs.append(row[2])
+
+    print(names)
+    print(ages)
+    print(sexs)
+
+    print('-------------------')
+# 第2种 将每行中的信息映射到一个 dict
+with open(file_name, newline='') as f:
+    reader = csv.DictReader(f)
+    for row in reader:
+        print(row)
+        print(row['name'])

csv/write_csv.py

+import csv
+
+title = ['name', 'age']
+d1 = ['小明', 20]
+d2 = ['小红', '21']
+dicts = [title, d1, d2]
+
+# 一行一行写
+file_name = 'name2.csv'
+with open(file_name, 'w', newline='') as f:
+    writer = csv.writer(f)
+    writer.writerow(title)
+    writer.writerow(d1)
+
+# 一次全写出去
+file_name = 'name3.csv'
+with open(file_name, 'w', newline='') as f:
+    writer = csv.writer(f)
+    writer.writerows(dicts)
+
+# 使用字典写
+file_name = 'name4.csv'
+with open(file_name, 'w', newline='') as f:
+    fieldnames = ['first_name', 'last_name']
+    writer = csv.DictWriter(f, fieldnames=fieldnames)
+
+    writer.writeheader()
+    writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'})
+    writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'})
+    writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'})