最近需要将csv文件转成DataFrame并以json的形式展示到前台，故需要用到Dataframe的to_json方法
to_json方法默认以列名为键，列内容为值，形成{col1:[v11,v21,v31…],col2:[v12,v22,v32],…}这种格式，但有时我们需要按行来转为json，形如这种格式[row1:{col1:v11,col2:v12,col3:v13…},row2:{col1:v21,col2:v22,col3:v23…}]
通过查找官网我们可以看到to_json方法有一个参数为orient，其参数说明如下：
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orient : string Series default is ‘index' allowed values are: {‘split','records','index'} DataFrame default is ‘columns' allowed values are: {‘split','records','index','columns','values'} The format of the JSON string split : dict like {index -> [index], columns -> [columns], data -> [values]} records : list like [{column -> value}, … , {column -> value}] index : dict like {index -> {column -> value}} columns : dict like {column -> {index -> value}} values : just the values array table : dict like {‘schema': {schema}, ‘data': {data}} describing the data, and the data component is like orient='records'. Changed in version 0.20.0 |
大致意思为：
如果是Series转json，默认的orient是'index'，orient可选参数有 {‘split','records','index'}
如果是DataFrame转json，默认的orient是'columns'，orient可选参数有 {‘split','records','index','columns','values'}
json的格式如下
split，样式为 {index -> [index], columns -> [columns], data -> [values]}
records，样式为[{column -> value}, … , {column -> value}]
index ，样式为 {index -> {column -> value}}
columns，样式为 {index -> {column -> value}}
values，数组样式
table，样式为{‘schema': {schema}, ‘data': {data}}，和records类似
看一下官网给的demo
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df = pd.DataFrame([['a', 'b'], ['c', 'd']], index=['row 1', 'row 2'], columns=['col 1', 'col 2'])###########split###########df.to_json(orient='split')>'{"columns":["col 1","col 2"], "index":["row 1","row 2"], "data":[["a","b"],["c","d"]]}'###########index###########df.to_json(orient='index')>'{"row 1":{"col 1":"a","col 2":"b"},"row 2":{"col 1":"c","col 2":"d"}}'###########records###########df.to_json(orient='index')>'[{"col 1":"a","col 2":"b"},{"col 1":"c","col 2":"d"}]'###########table###########df.to_json(orient='table')>'{"schema": {"fields": [{"name": "index", "type": "string"}, {"name": "col 1", "type": "string"}, {"name": "col 2", "type": "string"}], "primaryKey": "index", "data": [{"index": "row 1", "col 1": "a", "col 2": "b"}, {"index": "row 2", "col 1": "c", "col 2": "d"}]}' |
主要参考官网API：https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_json.html
以上这篇pandas.DataFrame.to_json按行转json的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/huanbia/article/details/72674832
