How to show a pandas dataframe into a existing flask html table?

working example:

python code:

from flask import Flask, request, render_template, session, redirect
import numpy as np
import pandas as pd


app = Flask(__name__)

df = pd.DataFrame({'A': [0, 1, 2, 3, 4],
                   'B': [5, 6, 7, 8, 9],
                   'C': ['a', 'b', 'c--', 'd', 'e']})


@app.route("https://stackoverflow.com/", methods=("POST", "GET"))
def html_table():

    return render_template('simple.html',  tables=[df.to_html(classes="data")], titles=df.columns.values)



if __name__ == '__main__':
    app.run(host="0.0.0.0")

html:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Title</title>
</head>
<body>

{% for table in tables %}
            {{titles[loop.index]}}
            {{ table|safe }}
{% endfor %}
</body>
</html>

or else use

return render_template('simple.html',  tables=[df.to_html(classes="data", header="true")])

and remove {{titles[loop.index]}} line from html

if you inspect element on html

<html lang="en"><head>
    <meta charset="UTF-8">
    <title>Title</title>
</head>
<body style="">


            <table border="1" class="dataframe data">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>A</th>
      <th>B</th>
      <th>C</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>0</td>
      <td>5</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1</th>
      <td>1</td>
      <td>6</td>
      <td>b</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2</td>
      <td>7</td>
      <td>c--</td>
    </tr>
    <tr>
      <th>3</th>
      <td>3</td>
      <td>8</td>
      <td>d</td>
    </tr>
    <tr>
      <th>4</th>
      <td>4</td>
      <td>9</td>
      <td>e</td>
    </tr>
  </tbody>
</table>


</body></html>

as you can see it has tbody and thead with in table html. so you can easily apply css.

More Related Contents:

Leave a Comment Cancel reply