Table:
Name

GP

GS

Min

Avg

FG

FGA

FG%

3FG

3FGA

3FG%

FT

FTA

FT%

OR

DR

RB

Avg

Ast

Avg

PF

DQ

TO

Stl

Blk

Pts

Avg

Cazzie Russell
27
27

271
558
0.486
--
--

152
186
0.817

208
7.7

66
3

694
25.7

Bill Buntin
28
28

221
454
0.487
--
--

122
159
0.767

323
11.5

87
8

564
20.1

Oliver Darden
28
25

152
322
0.472
--
--

59
95
0.621

246
8.8

88
4

363
13.0

Larry Tregoning
28
28

133
292
0.455
--
--

44
63
0.698

211
7.5

73
2

310
11.1

George Pomey
28
20

86
194
0.443
--
--

37
57
0.649

104
3.7

59
0

209
7.5

John Thompson
23
11

52
119
0.437
--
--

18
25
0.720

29
1.3

43
0

122
5.3

Jim Myers
26
0

44
140
0.314
--
--

14
23
0.609

117
4.5

35
0

102
3.9

Craig Dill
20
0

32
66
0.485
--
--

30
42
0.714

54
2.7

27
0

94
4.7

John Clawson
16
0

22
48
0.458
--
--

6
11
0.545

23
1.4

21
1

50
3.1

Tom Ludwig
11
0

5
17
0.294
--
--

4
4
1.000

7
0.6

9
0

14
1.3

Dennis Bankey
7
0

0
6
0.000
--
--

5
6
0.833

5
0.7

5
0

5
0.7

Dan Brown
6
0

1
7
0.143
--
--

1
3
0.333

8
1.3

6
0

3
0.5

Van Tillotson
3
0

0
1
0.000
--
--

2
5
0.400

4
1.3

2
0

2
0.7

TEAM
28

173
6.2

26

Charles Adams
1
0

0
1
0.000
--
--

0
0

0
0.0

0
0

0
0.0

Season Total
28

1019
2225
0.458

494
679
0.728

1512
54.0

521
18

2532
90.4

Opponents
28

876
1979
0.443
--
--

448
651
0.688

1156
41.3

514
20

2200
78.6

Given a table image, your task is to extract the cells' values in the following rows or columns:
the 17th column,
the 7th row,

Task requirements: Output the cell values in each row or column as JSON in the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The cell values of target rows or columns are as follows:
For the 17th column: {"column_id": "17", "cell_list": ['RB', '208', '323', '246', '211', '104', '29', '117', '54', '23', '7', '5', '8', '4', '173', '0', '1512', '1156']}
For the 7th row: {"row_id": "7", "cell_list": ['John Thompson', '23', '11', '', '', '52', '119', '0.437', '-', '-', '', '18', '25', '0.720', '', '', '29', '1.3', '', '', '43', '0', '', '', '', '122', '5.3']}