set_a = {1, 5, 10}, set_b = {1, 10, 12}, 则set_a.union(set_b)的结果是
A: {1, 10}
B: {1, 5, 10, 12}
C: {5, 10}
D: {1, 10, 12}
A: {1, 10}
B: {1, 5, 10, 12}
C: {5, 10}
D: {1, 10, 12}
举一反三
- set_a = {1, 5, 10}, set_b = {1, 10, 12} , 则set_a.difference(set_b)的结果是 A: {5} B: {1} C: {10} D: {12}
- 如下代码的运行结果为:()。 A: [ 5 6 7 8 9 10 11 12 13 14][ 5 1 7 8 9 10 11 12 13 14][ 5 1 2 8 9 10 11 12 13 14] B: [ 5 6 7 8 9 10 11 12 13 14][ 5 1 2 8 9 10 11 12 13 14][ 5 1 2 8 9 10 11 12 13 14] C: [ 5 1 7 8 9 10 11 12 13 14][ 5 1 7 8 9 10 11 12 13 14][ 5 1 2 8 9 10 11 12 13 14] D: [ 5 1 2 8 9 10 11 12 13 14][ 5 1 2 8 9 10 11 12 13 14][ 5 1 2 8 9 10 11 12 13 14]
- 如果要想打印1、5、9、10、11、12六张幻灯片,正确的设置编号是() A: 1、5、9、10、11、12 B: 1,5,9,10,11,12 C: 1、5、9-12 D: 1/5/9-12
- Suppose I have a data set called DATA and want to extract rows 1 to 10 and columns 5 to 7. What would be the relevant R command? A: DATA[1:10,5:7] B: DATA[5:7,1:10] C: DATA[10:1,7:5] D: DATA[7:5,10:1]
- 坡道的坡度一般为( )。 A: 1:6~1:12 B: 1:5~1:10 C: 1:6~1:8 D: 1:6~1:10