复制 Jupyter Notebook Pandas 数据帧 HTML 打印输出

Question

我正在尝试将 jupyter 在其笔记本中用于 Pandas 数据框的输出复制到 html/css/js，以便 Flask 可以将其jsonify作为 html 返回，然后我将在 AJAX 调用中使用它。

我发现了this和this，它建议使用 pandas 内置样式功能而不是 CSS hacks，但我正在努力获得所需的功能：

def hover(hover_color="#add8e6"):
    return dict(selector="tr:hover",
                props=[("background-color", "%s" % hover_color)])

styles = [
    hover(),
    dict(selector="th", props=[("font-size", "125%"),
                               ("text-align", "center"),
                               ("padding", "5px 5px")]),
    dict(selector="tr", props=[("text-align", "center")]),
    dict(selector="caption", props=[("caption-side", "bottom")])
]

# creating some dummy data
index = pd.MultiIndex(levels=[['bar', 'baz', 'foo', 'qux'], ['one', 'two']],
                      labels=[[0, 0, 1, 1, 2, 2, 3, 3], [0, 1, 0, 1, 0, 1, 0, 1]],
                      names=['first', 'second'])

df = pd.DataFrame(data=np.random.randn(8), index=index)

# you'll see the html rendered bellow
df.style.set_table_styles(styles).set_caption("test").render()

与 jupyter notebooks 相比，这缺少一些默认的背景颜色剥离，并且标题不应应用悬停类。我认为在选择元素上应用某些东西的唯一方法是添加class=或id=但样式功能隐藏了所有这些。

def hover(hover_color="#add8e6"):
    return dict(selector="tr:hover",
                props=[("background-color", "%s" % hover_color)])

styles = [
    hover(),
    dict(selector="th", props=[("font-size", "125%"),
                               ("text-align", "center"),
                               ("padding", "5px 5px")]),
    dict(selector="tr", props=[("text-align", "center")]),
    dict(selector="caption", props=[("caption-side", "bottom")])
]

# creating some dummy data
index = pd.MultiIndex(levels=[['bar', 'baz', 'foo', 'qux'], ['one', 'two']],
                      labels=[[0, 0, 1, 1, 2, 2, 3, 3], [0, 1, 0, 1, 0, 1, 0, 1]],
                      names=['first', 'second'])

df = pd.DataFrame(data=np.random.randn(8), index=index)

# you'll see the html rendered bellow
df.style.set_table_styles(styles).set_caption("test").render()

Answer 1

我对您的代码进行了一些更改以获得您想要的功能：

• Pandas 数据框的样式使用两个特殊的表格 HTML 标签，即thead标题和tbody正文。我们可以使用它来将高亮行为指定为仅正文
• CSS 具有“偶数”和“奇数”属性，您可以使用它们为表格添加阴影效果。
• 为了使悬停与指定的背景阴影一起工作，它必须在最后而不是第一个调用

在 Jupyter 笔记本中：

import pandas as pd
import numpy as np
from IPython.display import HTML

def hover(hover_color="#add8e6"):
    return dict(selector="tbody tr:hover",
            props=[("background-color", "%s" % hover_color)])

styles = [
    #table properties
    dict(selector=" ", 
         props=[("margin","0"),
                ("font-family",'"Helvetica", "Arial", sans-serif'),
                ("border-collapse", "collapse"),
                ("border","none"),
                ("border", "2px solid #ccf")
                   ]),

    #header color - optional
    dict(selector="thead", 
         props=[("background-color","#cc8484")
               ]),

    #background shading
    dict(selector="tbody tr:nth-child(even)",
         props=[("background-color", "#fff")]),
    dict(selector="tbody tr:nth-child(odd)",
         props=[("background-color", "#eee")]),

    #cell spacing
    dict(selector="td", 
         props=[("padding", ".5em")]),

    #header cell properties
    dict(selector="th", 
         props=[("font-size", "125%"),
                ("text-align", "center")]),

    #caption placement
    dict(selector="caption", 
         props=[("caption-side", "bottom")]),

    #render hover last to override background-color
    hover()
]
html = (df.style.set_table_styles(styles)
      .set_caption("Hover to highlight."))
html

...但是当我们输出HTML文件时它仍然很漂亮吗？？ 是的。你可以做一些更多的 CSS 样式来让它恰到好处（字体大小、字体系列、文本装饰、边距/填充等），但这给了你一个开始。见下文：

print(html.render())

import pandas as pd
import numpy as np
from IPython.display import HTML

def hover(hover_color="#add8e6"):
    return dict(selector="tbody tr:hover",
            props=[("background-color", "%s" % hover_color)])

styles = [
    #table properties
    dict(selector=" ", 
         props=[("margin","0"),
                ("font-family",'"Helvetica", "Arial", sans-serif'),
                ("border-collapse", "collapse"),
                ("border","none"),
                ("border", "2px solid #ccf")
                   ]),

    #header color - optional
    dict(selector="thead", 
         props=[("background-color","#cc8484")
               ]),

    #background shading
    dict(selector="tbody tr:nth-child(even)",
         props=[("background-color", "#fff")]),
    dict(selector="tbody tr:nth-child(odd)",
         props=[("background-color", "#eee")]),

    #cell spacing
    dict(selector="td", 
         props=[("padding", ".5em")]),

    #header cell properties
    dict(selector="th", 
         props=[("font-size", "125%"),
                ("text-align", "center")]),

    #caption placement
    dict(selector="caption", 
         props=[("caption-side", "bottom")]),

    #render hover last to override background-color
    hover()
]
html = (df.style.set_table_styles(styles)
      .set_caption("Hover to highlight."))
html

Answer 2

我确实花了一段时间才找到模板在哪里，但它就在这里，链接。

我相信这包括笔记本单元输出的所有 CSS，因此您只需要与表格相关的部分（table、thead、tbody、th 等）并根据您的喜好调整它们。您仍然需要用 python 来转换它，但为了说明它的工作原理，这里是原始 HTML

<style  type="text/css" >
    table {
      border: none;
      border-collapse: collapse;
      border-spacing: 0;
      color: black;
      font-size: 12px;
      table-layout: fixed;
    }
    thead {
      border-bottom: 1px solid black;
      vertical-align: bottom;
    }
    tr, th, td {
      text-align: right;
      vertical-align: middle;
      padding: 0.5em 0.5em;
      line-height: normal;
      white-space: normal;
      max-width: none;
      border: none;
    }
    th {
      font-weight: bold;
    }
    tbody tr:nth-child(odd) {
      background: #f5f5f5;
    }
    tbody tr:hover {
      background: rgba(66, 165, 245, 0.2);
    }
</style><table id="T_32dd1d4a_f245_11ea_977b_005056813a0d" ><thead>    <tr>        <th class="blank" ></th>        <th class="blank level0" ></th>        <th class="col_heading level0 col0" >0</th>    </tr>    <tr>        <th class="index_name level0" >first</th>        <th class="index_name level1" >second</th>        <th class="blank" ></th>    </tr></thead><tbody>
                <tr>
                        <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel0_row0" class="row_heading level0 row0" rowspan=2>bar</th>
                        <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel1_row0" class="row_heading level1 row0" >one</th>
                        <td id="T_32dd1d4a_f245_11ea_977b_005056813a0drow0_col0" class="data row0 col0" >-0.466253</td>
            </tr>
            <tr>
                                <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel1_row1" class="row_heading level1 row1" >two</th>
                        <td id="T_32dd1d4a_f245_11ea_977b_005056813a0drow1_col0" class="data row1 col0" >-0.579658</td>
            </tr>
            <tr>
                        <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel0_row2" class="row_heading level0 row2" rowspan=2>baz</th>
                        <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel1_row2" class="row_heading level1 row2" >one</th>
                        <td id="T_32dd1d4a_f245_11ea_977b_005056813a0drow2_col0" class="data row2 col0" >1.868159</td>
            </tr>
            <tr>
                                <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel1_row3" class="row_heading level1 row3" >two</th>
                        <td id="T_32dd1d4a_f245_11ea_977b_005056813a0drow3_col0" class="data row3 col0" >0.392282</td>
            </tr>
            <tr>
                        <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel0_row4" class="row_heading level0 row4" rowspan=2>foo</th>
                        <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel1_row4" class="row_heading level1 row4" >one</th>
                        <td id="T_32dd1d4a_f245_11ea_977b_005056813a0drow4_col0" class="data row4 col0" >-2.427858</td>
            </tr>
            <tr>
                                <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel1_row5" class="row_heading level1 row5" >two</th>
                        <td id="T_32dd1d4a_f245_11ea_977b_005056813a0drow5_col0" class="data row5 col0" >-0.813941</td>
            </tr>
            <tr>
                        <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel0_row6" class="row_heading level0 row6" rowspan=2>qux</th>
                        <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel1_row6" class="row_heading level1 row6" >one</th>
                        <td id="T_32dd1d4a_f245_11ea_977b_005056813a0drow6_col0" class="data row6 col0" >0.110564</td>
            </tr>
            <tr>
                                <th id="T_32dd1d4a_f245_11ea_977b_005056813a0dlevel1_row7" class="row_heading level1 row7" >two</th>
                        <td id="T_32dd1d4a_f245_11ea_977b_005056813a0drow7_col0" class="data row7 col0" >0.834701</td>
            </tr>
    </tbody></table>