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('/', 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.


# Declare table
class SomeTable(Table):
    status = Col('Customer')
    city = Col('City')
    product_price = Col('Country')    

# Convert the pandas Dataframe into dictionary structure
output_dict = output.to_dict(orient='records')  

# Populate the table
table = SomeTable(output_dict)

return (table.__html__())

or as pandas return static HTML file you can render it as page using Flask

@app.route('/<string:filename>/')
def render_static(filename):
    return render_template('%s.html' % filename)

It's the Idea of how we can do it in Flask. Hope you can understand this and let me know if it's not helping!

Update:

import pandas as pd

df = pd.DataFrame({'col1': ['abc', 'def', 'tre'],
                   'col2': ['foo', 'bar', 'stuff']})


from flask import Flask

app = Flask(__name__)

@app.route('/')
def hello_world():
    return df.to_html(header="true", table_id="table")

if __name__ == '__main__':
    app.run(host='0.0.0.0', debug=True)

Output

But I'd go with Flask HTML feature rather than DataFrame to HTML (due to styling)


For those looking for a simple/succinct example of taking a Pandas df and turning into a Flask/Jinja table (which is the reason I ended up on this question):

APP.PY -- APPLICATION FACTORY:

## YOUR DF LOGIC HERE 

@app.route("/")
def home():
    return render_template('index.html' column_names=df.columns.values, row_data=list(df.values.tolist()), zip=zip)

Your static template (e.g. index.html)

 <table>
        <thead>

          <tr>
            {% for col in column_names %}
            <th>
            
              {{col}}
             
            </th>
            {% endfor %}
          </tr>

        </thead>
        <tbody>
          {% for row in row_data %}
          <tr>
            {% for col, row_ in zip(column_names, row) %}
            <td>{{row_}}</td>
            {% endfor %}
          </tr>
          {% endfor %}

         
        </tbody>
  
      </table>

In case anyone finds this helpful. I have gone with an alternative because I needed more customization, including the ability to add buttons in the table that performed actions. I also really don't like the standard table formatting as it is very ugly IMHO.

...

df = pd.DataFrame({'Patient Name': ["Some name", "Another name"],
                       "Patient ID": [123, 456],
                       "Misc Data Point": [8, 53]})
...

# link_column is the column that I want to add a button to
return render_template("patient_list.html", column_names=df.columns.values, row_data=list(df.values.tolist()),
                           link_column="Patient ID", zip=zip)

HTML Code: This Dynamically Converts any DF into a customize-able HTML table

<table>
    <tr>
        {% for col in column_names %}
        <th>{{col}}</th>
        {% endfor %}
    </tr>
    {% for row in row_data %}
    <tr>
        {% for col, row_ in zip(column_names, row) %}
        {% if col == link_column %}
        <td>
            <button type="submit" value={{ row_ }} name="person_id" form="patient_form" class="patient_button">
                {{ row_ }}
            </button>
        </td>
        {% else %}
        <td>{{row_}}</td>
        {% endif %}
        {% endfor %}
    </tr>
    {% endfor %}

</table>

CSS Code

table {
    font-family: arial, sans-serif;
    border-collapse: collapse;
    width: 100%;
}

td, th {
    border: 1px solid #dddddd;
    text-align: left;
    padding: 8px;
}

tr:nth-child(even) {
    background-color: #dddddd;
}

It performs very well and it looks WAY better than the .to_html output.

Tags:

Python

Pandas

Flask

Pandas Datareader

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