df = pipe(numpy.linspace(0, 360, 101), pandas.Index).rename("index").to_series().mul(numpy.pi/180).apply(lambda x: pandas.Series(dict(x=numpy.cos(x), y=numpy.sin(x))))
    style_attributes = compose_left(operator.methodcaller("items"), map("--%s: %s".__mod__), ";".join, "{};".format)

%%
<style>
.dataframe {
    --height: 600px;
    display: block;
    position: relative;
    width: 100%;
    border: 5px red solid;
    transform: scaleY(1);
    transform-style: preserve-3d;
    tbody {
        tr {
            display: block;
            border: 4px white solid;
            transform: translateX(300px) perspective(300px) rotateY(calc(1deg * var(--index)));
            th, td {
            }
        }
    }
}

</style>
{% set df = df.reset_index() %}
{% set groups = [df] %}
<table class=dataframe>
    <thead>
     <tr><th>index</th>
         {%- for k in df.columns -%}
             <th>{{k}}</th>
         {%- endfor -%}
        </tr>
    </thead>
     {%- for g in groups -%}
     <tbody>
         {%- for i, row in g.iterrows() -%}
            <tr style="{{style_attributes(row)}}">
             <th>{{loop.index}}</th>
             {%- for k in df.columns -%}
                 <td>{{row.loc[k]}}</td>
             {%- endfor -%}
            </tr>
         {%- endfor -%}
     </tbody>
     {%- endfor -%}
</table>