2D Numpy数组到HTML表？

Question

这是我的numpy数组:

num = np.array([[ 0.17899619  0.33093259  0.2076353   0.06130814]
                [ 0.20392888  0.42653105  0.33325891  0.10473969]
                [ 0.17038247  0.19081956  0.10119709  0.09032416]
                [-0.10606583 -0.13680513 -0.13129103 -0.03684349]
                [ 0.20319428  0.28340985  0.20994867  0.11728491]
                [ 0.04396872  0.23703525  0.09359683  0.11486036]
                [ 0.27801304 -0.05769304 -0.06202813  0.04722761]])

这是我的标题行:

days = ['5 days', '10 days', '20 days', '60 days']

这是我的第一栏:

prices = ['AAPL', 'ADBE', 'AMD', 'AMZN', 'CRM', 'EXPE', 'FB']

我想把它全部放在一个HTML表格中,如下所示:

<table border=1>
    <tr>
        <th>Prices</th><th>5 days</th><th>10 days</th><th>20 days</th><th>60 days</th>
    </tr>
    <tr>
        <td>APPL</td><td>0.17899619</td><td>0.33093259</td><td>0.2076353</td><td>0.06130814</td>
    </tr>
    <tr>
        <td>ADBE</td><td>0.20392888</td><td>0.42653105</td><td>0.33325891</td><td>0.10473969</td>
    </tr>
    <tr>
        <td>AMD</td><td>0.17038247</td><td>0.19081956</td><td>0.10119709</td><td>0.09032416</td>
    </tr>
    <tr>
        <td>AMZN</td><td>-0.10606583</td><td>-0.13680513</td><td>-0.13129103</td><td>-0.03684349</td>
    </tr>
    <tr>
        <td>CRM</td><td>0.20319428</td><td>0.28340985</td><td>0.20994867</td><td>0.11728491</td>
    </tr>
    <tr>
        <td>EXPE</td><td>0.04396872</td><td>0.23703525</td><td>0.09359683</td><td>0.11486036</td>
    </tr>
    <tr>
        <td>FB</td><td>0.27801304</td><td>-0.05769304</td><td>-0.06202813</td><td>0.04722761</td>
    </tr>
</table>

有没有pythonic方式来做到这一点？或者我可以使用任何模块(在Python 3上)？

谢谢.

Answer 1

pandas DataFrame有一个to_html方法:

import numpy as np
import pandas as pd

num = np.array([[ 0.17899619,  0.33093259,  0.2076353,   0.06130814,],
                [ 0.20392888,  0.42653105,  0.33325891,  0.10473969,],
                [ 0.17038247,  0.19081956,  0.10119709,  0.09032416,],
                [-0.10606583, -0.13680513, -0.13129103, -0.03684349,],
                [ 0.20319428,  0.28340985,  0.20994867,  0.11728491,],
                [ 0.04396872,  0.23703525,  0.09359683,  0.11486036,],
                [ 0.27801304, -0.05769304, -0.06202813,  0.04722761,],])

days = ['5 days', '10 days', '20 days', '60 days']

prices = ['AAPL', 'ADBE', 'AMD', 'AMZN', 'CRM', 'EXPE', 'FB']

df = pd.DataFrame(num, index=prices, columns=days)

html = df.to_html()

print(html)

输出:

<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>5 days</th>
      <th>10 days</th>
      <th>20 days</th>
      <th>60 days</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>AAPL</th>
      <td>0.178996</td>
      <td>0.330933</td>
      <td>0.207635</td>
      <td>0.061308</td>
    </tr>
    <tr>
      <th>ADBE</th>
      <td>0.203929</td>
      <td>0.426531</td>
      <td>0.333259</td>
      <td>0.104740</td>
    </tr>
    <tr>
      <th>AMD</th>
      <td>0.170382</td>
      <td>0.190820</td>
      <td>0.101197</td>
      <td>0.090324</td>
    </tr>
    <tr>
      <th>AMZN</th>
      <td>-0.106066</td>
      <td>-0.136805</td>
      <td>-0.131291</td>
      <td>-0.036843</td>
    </tr>
    <tr>
      <th>CRM</th>
      <td>0.203194</td>
      <td>0.283410</td>
      <td>0.209949</td>
      <td>0.117285</td>
    </tr>
    <tr>
      <th>EXPE</th>
      <td>0.043969</td>
      <td>0.237035</td>
      <td>0.093597</td>
      <td>0.114860</td>
    </tr>
    <tr>
      <th>FB</th>
      <td>0.278013</td>
      <td>-0.057693</td>
      <td>-0.062028</td>
      <td>0.047228</td>
    </tr>
  </tbody>
</table>