js
var names = ["王五", "李四", "赵六", "张三", "郝七", "陈二", "蔡八", "孙九", "黄十", "路一"];
// 中文姓氏排序
names.sort(function(a, b) {
return a.localeCompare(b,"zh");
});
java
List<String> names = Arrays.asList("王五", "李四", "赵六", "张三", "郝七", "陈二", "蔡八"[......]
js
var names = ["王五", "李四", "赵六", "张三", "郝七", "陈二", "蔡八", "孙九", "黄十", "路一"];
// 中文姓氏排序
names.sort(function(a, b) {
return a.localeCompare(b,"zh");
});
java
List<String> names = Arrays.asList("王五", "李四", "赵六", "张三", "郝七", "陈二", "蔡八"[......]
import numpy as np
import pandas as pd
df = pd.read_csv('./smsspamcollection.tsv', sep='\t')
df.head()
df['label'].value_counts()
# split data set
from sklearn.model_selection import train_test_split
X = df['message']
y = df['label']
df.[......]
https://ghostscript.com/docs/9.54.0/Devices.htm[......]