Python 标准化只生成一个大行
我有一个JSON文件,希望将其解析为一个数据帧。我希望有以下结构: ID |事件|现场| 游戏1 |“额定子弹游戏”| | 游戏2 |“分级闪电战游戏”| |Python 标准化只生成一个大行,python,json,pandas,Python,Json,Pandas,我有一个JSON文件,希望将其解析为一个数据帧。我希望有以下结构: ID |事件|现场| 游戏1 |“额定子弹游戏”| | 游戏2 |“分级闪电战游戏”| | 但是,使用df=pd.json\u normalize(所有行),df如下所示: { "Game1": { "Event": "Rated Bullet game", "Site": "https://lichess.org/s
但是,使用
df=pd.json\u normalize(所有行)
,df如下所示:
{
"Game1": {
"Event": "Rated Bullet game",
"Site": "https://lichess.org/spTUcy1Z",
"Date": "2020.05.01",
"Round": "-",
"White": "AaravShah25",
"Black": "daksh_badhwar",
"Result": "0-1",
"UTCDate": "2020.05.01",
"UTCTime": "04:55:40",
"WhiteElo": "1360",
"BlackElo": "1342",
"WhiteRatingDiff": "-10",
"BlackRatingDiff": "+6",
"ECO": "C56",
"Opening": "Italian Game: Scotch Gambit, Nakhmanson Gambit",
"TimeControl": "60+0",
"Termination": "Normal",
"moves": "1. e4 { [%clk 0:01:00] } e5 { [%clk 0:01:00] } 2. d4 { [%clk 0:00:59] } Nc6 { [%clk 0:01:00] } 3. Nf3 { [%clk 0:00:58] } exd4 { [%clk 0:00:59] } 4. Bc4 { [%clk 0:00:58] } Nf6 { [%clk 0:00:56] } 5. O-O { [%clk 0:00:58] } Nxe4 { [%clk 0:00:54] } 6. Nc3 { [%clk 0:00:58] } Bc5 { [%clk 0:00:53] } 7. Re1 { [%clk 0:00:58] } O-O { [%clk 0:00:52] } 8. h3 { [%clk 0:00:56] } dxc3 { [%clk 0:00:50] } 0-1"
},
"Game2": {
"Event": "Rated Blitz game",
"Site": "https://lichess.org/kh6FJkyS",
"Date": "2020.05.01",
"Round": "-",
"White": "Quggai",
"Black": "vasiukov",
"Result": "1-0",
"UTCDate": "2020.05.01",
"UTCTime": "07:41:06",
"WhiteElo": "2292",
"BlackElo": "2210",
"WhiteRatingDiff": "+5",
"BlackRatingDiff": "-4",
"ECO": "C56",
"Opening": "Italian Game: Scotch Gambit, Nakhmanson Gambit",
"TimeControl": "180+0",
"Termination": "Normal",
"moves": "1. e4 { [%clk 0:03:00] } e5 { [%clk 0:03:00] } 2. Bc4 { [%clk 0:02:59] } Nf6 { [%clk 0:02:58] } 3. d4 { [%clk 0:02:58] } Nc6 { [%clk 0:02:51] } 4. Nf3 { [%clk 0:02:56] } exd4 { [%clk 0:02:48] } 5. O-O { [%clk 0:02:55] } Nxe4 { [%clk 0:02:46] } 6. Nc3 { [%clk 0:02:54] } dxc3 { [%clk 0:02:43] } 7. Bxf7+ { [%clk 0:02:48] } Kxf7 { [%clk 0:02:41] } 8. Qd5+ { [%clk 0:02:48] } Ke8 { [%clk 0:02:16] } 9. Re1 { [%clk 0:02:47] } Ne7 { [%clk 0:02:13] } 10. Rxe4 { [%clk 0:02:45] } c6 { [%clk 0:02:08] } 11. Qd6 { [%clk 0:02:30] } h6 { [%clk 0:01:32] } 12. Qg6# { [%clk 0:02:18] } 1-0"
},
...
---|游戏1.事件|游戏1.站点|
0级子弹游戏| | |
JSON如下所示:
{
"Game1": {
"Event": "Rated Bullet game",
"Site": "https://lichess.org/spTUcy1Z",
"Date": "2020.05.01",
"Round": "-",
"White": "AaravShah25",
"Black": "daksh_badhwar",
"Result": "0-1",
"UTCDate": "2020.05.01",
"UTCTime": "04:55:40",
"WhiteElo": "1360",
"BlackElo": "1342",
"WhiteRatingDiff": "-10",
"BlackRatingDiff": "+6",
"ECO": "C56",
"Opening": "Italian Game: Scotch Gambit, Nakhmanson Gambit",
"TimeControl": "60+0",
"Termination": "Normal",
"moves": "1. e4 { [%clk 0:01:00] } e5 { [%clk 0:01:00] } 2. d4 { [%clk 0:00:59] } Nc6 { [%clk 0:01:00] } 3. Nf3 { [%clk 0:00:58] } exd4 { [%clk 0:00:59] } 4. Bc4 { [%clk 0:00:58] } Nf6 { [%clk 0:00:56] } 5. O-O { [%clk 0:00:58] } Nxe4 { [%clk 0:00:54] } 6. Nc3 { [%clk 0:00:58] } Bc5 { [%clk 0:00:53] } 7. Re1 { [%clk 0:00:58] } O-O { [%clk 0:00:52] } 8. h3 { [%clk 0:00:56] } dxc3 { [%clk 0:00:50] } 0-1"
},
"Game2": {
"Event": "Rated Blitz game",
"Site": "https://lichess.org/kh6FJkyS",
"Date": "2020.05.01",
"Round": "-",
"White": "Quggai",
"Black": "vasiukov",
"Result": "1-0",
"UTCDate": "2020.05.01",
"UTCTime": "07:41:06",
"WhiteElo": "2292",
"BlackElo": "2210",
"WhiteRatingDiff": "+5",
"BlackRatingDiff": "-4",
"ECO": "C56",
"Opening": "Italian Game: Scotch Gambit, Nakhmanson Gambit",
"TimeControl": "180+0",
"Termination": "Normal",
"moves": "1. e4 { [%clk 0:03:00] } e5 { [%clk 0:03:00] } 2. Bc4 { [%clk 0:02:59] } Nf6 { [%clk 0:02:58] } 3. d4 { [%clk 0:02:58] } Nc6 { [%clk 0:02:51] } 4. Nf3 { [%clk 0:02:56] } exd4 { [%clk 0:02:48] } 5. O-O { [%clk 0:02:55] } Nxe4 { [%clk 0:02:46] } 6. Nc3 { [%clk 0:02:54] } dxc3 { [%clk 0:02:43] } 7. Bxf7+ { [%clk 0:02:48] } Kxf7 { [%clk 0:02:41] } 8. Qd5+ { [%clk 0:02:48] } Ke8 { [%clk 0:02:16] } 9. Re1 { [%clk 0:02:47] } Ne7 { [%clk 0:02:13] } 10. Rxe4 { [%clk 0:02:45] } c6 { [%clk 0:02:08] } 11. Qd6 { [%clk 0:02:30] } h6 { [%clk 0:01:32] } 12. Qg6# { [%clk 0:02:18] } 1-0"
},
...
谢谢大家! 这个JSON的结构看起来可以使用默认的dataframe构造函数轻松地转换为dataframe:
df=pd.DataFrame(所有行)
您还可以使用函数更改数据方向:
df=pd.DataFrame(所有行).T
如果此JSON中有大量嵌套对象,则可以使用JSON_规范化字典值中的dataframe,然后设置正确的索引:
df=pd.json\u规范化(列表(所有行.values())
df.index=all_rows.keys()