pip install -U flask-paginate- download app.py and index.html
python app.py- visit http://127.0.0.1:5000/
Created
December 5, 2017 00:06
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A simple demo for how to use flask-paginate.
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| from flask import Flask, render_template | |
| from flask_paginate import Pagination, get_page_args | |
| app = Flask(__name__) | |
| app.template_folder = '' | |
| users = list(range(100)) | |
| def get_users(offset=0, per_page=10): | |
| return users[offset: offset + per_page] | |
| @app.route('/') | |
| def index(): | |
| page, per_page, offset = get_page_args(page_parameter='page', | |
| per_page_parameter='per_page') | |
| total = len(users) | |
| pagination_users = get_users(offset=offset, per_page=per_page) | |
| pagination = Pagination(page=page, per_page=per_page, total=total, | |
| css_framework='bootstrap4') | |
| return render_template('index.html', | |
| users=pagination_users, | |
| page=page, | |
| per_page=per_page, | |
| pagination=pagination, | |
| ) | |
| if __name__ == '__main__': | |
| app.run(debug=True) |
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> | |
| <title>flask-bootstrap example</title> | |
| <!-- Bootstrap --> | |
| <!-- Latest compiled and minified CSS --> | |
| <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta/css/bootstrap.min.css"> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| {{ pagination.links }} | |
| <div class="table-responsive"> | |
| <table class="table table-hover"> | |
| <thead> | |
| <tr> | |
| <th>#</th> | |
| <th>Value</th> | |
| </tr> | |
| </thead> | |
| <tbody> | |
| {% for user in users %} | |
| <tr> | |
| <td>{{ loop.index + (page - 1) * per_page }}</td> | |
| <td>{{ user }}</td> | |
| </tr> | |
| {% endfor %} | |
| </tbody> | |
| </table> | |
| </div> | |
| {{ pagination.links }} | |
| </div> | |
| </body> | |
| </html> |
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For anyone else struggling to get dataframe + pagination working, this method works - https://www.thepythoncode.com/article/convert-pandas-dataframe-to-html-table-python. Thanks.