Pandas Dataframe display on a webpage

Pandas Dataframe display on a webpage

To display a Pandas DataFrame on a webpage, you can use web frameworks like Flask or Django in combination with HTML templates to render the DataFrame's content. Here, I'll provide a simple example using Flask to show how you can achieve this:

  • Install Flask (if you haven't already):

    pip install flask

  • Create a Flask app and render a Pandas DataFrame in an HTML template:

from flask import Flask, render_template import pandas as pd app = Flask(__name__) # Sample DataFrame data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 28]} df = pd.DataFrame(data) @app.route('/') def display_dataframe(): return render_template('index.html', dataframe=df.to_html()) if __name__ == '__main__': app.run(debug=True)
  • Create an HTML template (templates/index.html) to render the DataFrame using Jinja2 template syntax:
<!DOCTYPE html> <html> <head> <title>Pandas DataFrame on Webpage</title> </head> <body> <h1>Pandas DataFrame on Webpage</h1> <!-- Display the DataFrame using the {{ dataframe|safe }} syntax to render HTML --> {{ dataframe|safe }} </body> </html>
  • Run the Flask app:
python app.py

Open a web browser and navigate to http://127.0.0.1:5000/ to see the Pandas DataFrame displayed on the webpage.

Please note that this is a simple example to demonstrate the concept. In real-world scenarios, you might want to enhance the template, handle more complex data, and add CSS styles for better presentation. If you're using Django, the process is similar, but you'll need to adapt the code to Django's project structure and template engine.

Examples

  1. How to display a Pandas DataFrame on a webpage using Flask?

    • Description: This query seeks a method to render a Pandas DataFrame as a table on a webpage using the Flask web framework.
    from flask import Flask, render_template import pandas as pd app = Flask(__name__) @app.route('/') def display_dataframe(): df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) return render_template('index.html', tables=[df.to_html(classes='data')]) if __name__ == '__main__': app.run(debug=True)

  2. How to visualize Pandas DataFrame on a webpage using Django?

    • Description: This query aims to find a method to visualize a Pandas DataFrame as a table on a webpage using the Django web framework.
    # views.py from django.shortcuts import render import pandas as pd def display_dataframe(request): df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) return render(request, 'index.html', {'data': df.to_html()}) 
    <!-- index.html --> <html> <body> <h1>DataFrame:</h1> {{ data | safe }} </body> </html>

  3. How to embed Pandas DataFrame in a HTML webpage?

    • Description: This query looks for a way to embed a Pandas DataFrame directly into an HTML webpage.
    import pandas as pd df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) html_table = df.to_html()

  4. How to display a Pandas DataFrame in a Flask template?

    • Description: This query seeks information on how to integrate a Pandas DataFrame into a Flask template for displaying on a webpage.
    from flask import Flask, render_template import pandas as pd app = Flask(__name__) @app.route('/') def display_dataframe(): df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) return render_template('index.html', data=df.to_html()) if __name__ == '__main__': app.run(debug=True) 
    <!-- index.html --> <html> <body> <h1>DataFrame:</h1> {{ data | safe }} </body> </html>

  5. How to format Pandas DataFrame for display in a webpage?

    • Description: This query looks for methods to format a Pandas DataFrame for better display on a webpage, including styling options.
    import pandas as pd df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) styled_df = df.style.set_properties(**{'font-size': '10pt', 'border': '1px solid black'})

  6. How to convert Pandas DataFrame to HTML for webpage display?

    • Description: This query aims to find a way to convert a Pandas DataFrame into HTML format suitable for display on a webpage.
    import pandas as pd df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) html_table = df.to_html()

  7. How to display large Pandas DataFrame on a webpage efficiently?

    • Description: This query seeks methods to efficiently display large Pandas DataFrames on a webpage without overwhelming the browser.
    import pandas as pd df = pd.read_csv('large_data.csv') html_table = df.head(1000).to_html() # Display only the first 1000 rows

  8. How to create an interactive Pandas DataFrame table for a webpage?

    • Description: This query looks for ways to create an interactive table from a Pandas DataFrame for display on a webpage, allowing sorting, filtering, etc.
    import pandas as pd import dash import dash_html_components as html import dash_core_components as dcc from dash.dependencies import Input, Output df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) app = dash.Dash(__name__) app.layout = html.Div([ dcc.DataTable( id='table', columns=[{'name': col, 'id': col} for col in df.columns], data=df.to_dict('records') ) ]) if __name__ == '__main__': app.run_server(debug=True)

  9. How to add styling to Pandas DataFrame displayed on a webpage?

    • Description: This query seeks methods to add custom styling to a Pandas DataFrame displayed on a webpage for better aesthetics.
    import pandas as pd df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) styled_df = df.style.set_table_styles([{'selector': 'th', 'props': [('background-color', 'lightblue')]}])

  10. How to make a Pandas DataFrame interactive on a webpage using Bokeh?

    • Description: This query aims to find a method to make a Pandas DataFrame interactive on a webpage using Bokeh for data visualization.
    from bokeh.plotting import show from bokeh.models import ColumnDataSource, DataTable, TableColumn import pandas as pd df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) source = ColumnDataSource(df) columns = [TableColumn(field=c, title=c) for c in df.columns] data_table = DataTable(source=source, columns=columns, width=400, height=280) show(data_table)

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