Tôi có một DataFrame và mỗi bản ghi lưu trữ một danh sách các từ điển như thế này:
row prodect_id recommend_info
0 XQ002 [{"recommend_key":"XXX567","recommend_point":50},
{"recommend_key":"XXX236","recommend_point":20},
{"recommend_key":"XXX090","recommend_point":35}]
1 XQ003 [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
Tôi muốn làm phẳng danh sách từ điển, để nó trông như thế này
row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
Tôi biết cách chỉ chuyển đổi một danh sách từ điển thành DataFrame. như thế này:
d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
Nhưng tôi không biết làm thế nào để thực hiện việc này với DataFrame khi có một danh sách lưu trữ cột của các dicts hoặc có nhiều cột lưu trữ danh sách các dicts
row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
Cải thiện bài viết
Lưu bài viết
Đưa ra một danh sách các từ điển, nhiệm vụ là chuyển đổi nó thành từ điển duy nhất, tức là làm phẳng danh sách các từ điển.
Đưa ra dưới đây là một vài phương pháp để giải quyết nhiệm vụ đã cho.
Phương pháp số 1: Sử dụng phương pháp ngây thơ
Python3
ini_dict
=
row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
0row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
1row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
2row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
3row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
4row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
5__12d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
3 d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
4d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
5d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
6d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
7d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
8d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
9=
row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
49row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
50row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
51Bạn có thể làm phẳng một từ điển trong Python?
row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
6row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
7d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
3 d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
4initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'b': 2, 'a': 1, 'c': 3}0
d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
6d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
7initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'b': 2, 'a': 1, 'c': 3}3
Output:
initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'b': 2, 'a': 1, 'c': 3}
Phương pháp số 2: Sử dụng sự hiểu biết của Dict
Python3
ini_dict
=
row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
0row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
1row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
2row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
3row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
4row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
5__12d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
3 d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
4d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
5d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
6d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
7d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
8d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
9=
initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'a': 1, 'c': 3, 'b': 2}7
row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
2 row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
3row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
4 ini_dict
row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
2d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
3 d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
4initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'b': 2, 'a': 1, 'c': 3}0
d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
6d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
7initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'b': 2, 'a': 1, 'c': 3}3
Output:
initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'a': 1, 'c': 3, 'b': 2}
& nbsp; Phương pháp số 3: Sử dụng giảm
Method #3: Using reduce
Python3
ini_dict
2 ini_dict
3ini_dict
4 ________ 85 & nbsp;
ini_dict
=
row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
0row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
1row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
2row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
3row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
4row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
5__12d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
3 d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
4d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
5d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
6d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
7d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
8d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
9=
initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'a': 1, 'c': 3, 'b': 2}7
row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
2 row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
3row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
4 ini_dict
row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
2d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
3 d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
4initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'b': 2, 'a': 1, 'c': 3}0
d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
6d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
7initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'b': 2, 'a': 1, 'c': 3}3
Output:
initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'a': 1, 'c': 3, 'b': 2}
& nbsp; Phương pháp số 3: Sử dụng giảm
Method #4: Using
21row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
Python3
ini_dict
2 ini_dict
3ini_dict
4 ________ 85 & nbsp;
ini_dict
=
row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
0row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
1row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
2row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
3row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
4row prodect_id recommend_info_recommend_key recommend_info_recommend_point
0 XQ002 XXX567 50
1 XQ002 XXX236 20
2 XQ002 XXX090 35
3 XQ003 XXX089 30
4 XQ003 XXX567 20
5__12d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
3 d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
4d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
5d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
6d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
7d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
8d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
9=
initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'a': 1, 'c': 3, 'b': 2}7
row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
2 row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
3row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
4 ini_dict
row col_a col_b col_c
0 B001 [{"a":"b"},{"a":"c"}] [{"y":11},{"a":"c"}]
1 D009 [{"c":"o"},{"g":"c"}] [{"y":11},{"a":"c"},{"l":"c"}]
2 G068 [{"c":"b"},{"a":"c"}] [{"a":56},{"d":"c"}]
3 C004 [{"d":"a"},{"b":"c"}] [{"c":22},{"a":"c"},{"b":"c"}]
4 F011 [{"h":"u"},{"d":"c"}] [{"h":27},{"d":"c"}]
2d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
3 d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
4initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'b': 2, 'a': 1, 'c': 3}0
d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
6d = [{"recommend_key":"XXX089","recommend_point":30},
{"recommend_key":"XXX567","recommend_point":20}]
df = pd.DataFrame[d]
row recommend_key recommend_point
0 XXX089 30
1 XXX567 20
7initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result {'b': 2, 'a': 1, 'c': 3}3
Output:
initial dictionary [{'a': 1}, {'b': 2}, {'c': 3}] result ChainMap[{'a': 1}, {'b': 2}, {'c': 3}]