A: A becomes row vector
B: A becomes 3 rows and 3 columns
C: A becomes 3 rows and 2 columns
D: A becomes 2 rows and 3 columns
举一反三
- If a is known to be a 2×3 matrix, then after executing a=a(:), ( ). A: a transforms to a column vector B: a transforms to 3 rows and 2 columns C: a transforms to 3 rows and 3 columns D: a transforms to 2 rows 3 and columns
- How many rows of piles are generally set up in freestyle skating competition? How many piles per row? A: row 5 and 25 B: rows 2 and 18 C: rows 1 and 30 D: rows 3 and 20
- Which of the following are the types of columns encountered in gas chromatography?(1) flat plates (2) packed columns (3) plastic strips (4) open tubular, or capillary columns A: 1,2 B: 3, 4 C: 1, 3 D: 2,4
- depend on following three-player game, where player 1 chooses rows, player 2 columns and player 3 matrices What’s Nash equilibrium of this game?https://image.zhihuishu.com/zhs/onlineexam/ueditor/201912/986ba5e2a3164a73ae00db6d03e3e868.png
- 假设数据集中“数量”是第5个字段,下面()能得到第3条记录的数量。 A: Ds.Tables[0].Rows[3][4].ToString B: Ds.Tables[0].Rows[2][4].ToString C: Ds.Tables[0].Rows[2][5].ToString D: Ds.Tables[0].Rows[3][5].ToString
内容
- 0
A query that uses rows and columns in a table for statistics is a cross-tab query.
- 1
df1 = pd.DataFrame([[5, 2, 3], [4, 5, 6],[7,8,9]], index=['A', 'B','D'], columns=['C1', 'C2', 'C3']) ，其中 df1.loc[2:1]=8（）
- 2
已知 vec = [[1,2], [3,4]],则表达式 [[row[i] for row in vec] for i in range(len(vec[0]))]的值为______________()_________。[/i] A: [1, 2, 3, 4] B: [[1, 2, 3], 4] C: [[1, 3], [2, 4]] D: [1, 2, [3, 4]]
- 3
depend on following three-player game, where player 1 chooses rows, player 2 columns and player 3 matrices[img=524x93]1786944da21691d.png[/img]What’s Nash equilibrium of this game? A: (M, R, r) B: (B, L, r) C: (T, R, r) D: (T, L, l)
- 4
Resolution typically is(71)2 in dots per inch(dpi), and is stated as the number of columns and rows of dots. A: computed B: stack C: measured D: searched