如何组合数据框中的行？

Question

真的很烦人，我找不到通过查找方法或标准偏差或其他东西来组合多个行或列的方法。有人可以给我一个想法吗？谢谢！

Answer 1

我认为你可以index在10楼层除以np.random.seed(1) df = pd.DataFrame(np.random.randint(10, size=(5,5)),index=[1971,1972,1981,1982,1991]) print (df) 0 1 2 3 4 1971 5 8 9 5 0 1972 0 1 7 6 9 1981 2 4 5 2 4 1982 2 4 7 7 9 1991 1 7 0 6 9 print (df.index // 10) Int64Index([197, 197, 198, 198, 199], dtype='int64') df1 = df.groupby([df.index // 10]).mean() df1.index = df1.index.astype(str) + '0s' print (df1) 0 1 2 3 4 1970s 2.5 4.5 8.0 5.5 4.5 1980s 2.0 4.0 6.0 4.5 6.5 1990s 1.0 7.0 0.0 6.0 9.0 并汇总groupby或mean：

df1 = df.groupby([df.index // 10]).std()
df1.index = df1.index.astype(str) + '0s' 
print (df1)
              0         1         2         3         4
1970s  3.535534  4.949747  1.414214  0.707107  6.363961
1980s  0.000000  0.000000  1.414214  3.535534  3.535534
1990s       NaN       NaN       NaN       NaN       NaN

var Person = function(name){
    this.name = name;
}
Person.prototype.printName = function(){
    console.log("Name: " + this.name);
}

var bob = new Person("Bob");

bob.printName.apply(null); //window.name
bob.printName.bind(bob).apply(null); //"Bob"