Pandas 数据框到烧瓶模板作为 json [重复]

Posted 2023-03-11

【中文标题】Pandas 数据框到烧瓶模板作为 json [重复]

【英文标题】：Pandas dataframe to flask template as a json [duplicate]

【发布时间】：2018-06-11 13:22:10

【问题描述】：

我尝试在烧瓶模板中输出熊猫数据框。我的想法是将其转换为 json，然后循环遍历表

我测试了这个

jsonfiles = df.to_json(orient='records')

return render_template('index.html', ctrsuccess=jsonfiles)

在模板中我尝试这样输出：

        %if ctrsuccess %
        <div class="table-responsive">
            <table class="table table-striped">
                <tbody>
                    %for ctrrow in ctrsuccess %
                    <tr>
                        <td> ctrrow['positionint'] </td>
                    </tr>
                    %endfor%
                </tbody>
            </table>
        </div>
        %endif%

在模板中，如果我只是绘制 ctrsuccess，我会得到一个外观正确的 json。但是桌子是空的

["positionint":1.0,"clicks":1138.0,"impressions":4768.0,"ctr":0.2386744966,"clickCtr10p":1251.8,"clickCtr50p":1707.0,"clickCtr100p":2276.0,"positionint":2.0,"clicks":3160.0,"impressions":49899.0,"ctr":0.0633279224,"clickCtr10p":3476.0,"clickCtr50p":4740.0,"clickCtr100p":6320.0,"positionint":3.0,"clicks":1255.0,"impressions":50020.0,"ctr":0.025089964,"clickCtr10p":1380.5,"clickCtr50p":1882.5,"clickCtr100p":2510.0,"positionint":4.0,"clicks":363.0,"impressions":39077.0,"ctr":0.0092893518,"clickCtr10p":399.3,"clickCtr50p":544.5,"clickCtr100p":726.0,"positionint":5.0,"clicks":216.0,"impressions":18419.0,"ctr":0.011727021,"clickCtr10p":237.6,"clickCtr50p":324.0,"clickCtr100p":432.0,"positionint":6.0,"clicks":307.0,"impressions":15447.0,"ctr":0.0198744093,"clickCtr10p":337.7,"clickCtr50p":460.5,"clickCtr100p":614.0,"positionint":7.0,"clicks":248.0,"impressions":24709.0,"ctr":0.0100368287,"clickCtr10p":272.8,"clickCtr50p":372.0,"clickCtr100p":496.0,"positionint":8.0,"clicks":236.0,"impressions":26853.0,"ctr":0.0087885897,"clickCtr10p":259.6,"clickCtr50p":354.0,"clickCtr100p":472.0,"positionint":9.0,"clicks":139.0,"impressions":26577.0,"ctr":0.0052300862,"clickCtr10p":152.9,"clickCtr50p":208.5,"clickCtr100p":278.0,"positionint":10.0,"clicks":23.0,"impressions":2046.0,"ctr":0.0112414467,"clickCtr10p":25.3,"clickCtr50p":34.5,"clickCtr100p":46.0,"positionint":null,"clicks":7085.0,"impressions":257815.0,"ctr":null,"clickCtr10p":7793.5,"clickCtr50p":10627.5,"clickCtr100p":14170.0,"positionint":null,"clicks":null,"impressions":null,"ctr":null,"clickCtr10p":1417.0,"clickCtr50p":7085.0,"clickCtr100p":14170.0]

【参考方案1】：

根据 pandas 文档，to_json 呈现一个 json 字符串，您可以通过 type(jsonfiles) 确认。虽然打印输出看起来像一个 json 对象，但单引号会在开头和结尾换行。

要解决，只需导入内置的json 模块（Python 标准库的一部分）并使用loads 方法将to_json 字符串解析为json 对象：

import json
...

jsonfiles = json.loads(df.to_json(orient='records'))

return render_template('index.html', ctrsuccess=jsonfiles)