Creating A Dinamic Table From A Dataframe Values Mới Cập Nhật

To create a dynamic table from a DataFrame in Python, you can use a library like Pandas, which provides many useful functions for working with tabular data.

Here is an example of how to create a dynamic table from a DataFrame using Pandas:

python
import pandas as pd

# Create a DataFrame
df = pd.DataFrame({
    'Name': ['John', 'Jane', 'Bob'],
    'Age': [30, 25, 40],
    'City': ['New York', 'San Francisco', 'Los Angeles']
})

# Use the to_html method to convert the DataFrame to an HTML table
table_html = df.to_html(index=False)

# Print the HTML table
print(table_html)

In this example, we first create a DataFrame with three columns: Name, Age, and City. We then use the to_html() method to convert the DataFrame to an HTML table. The index=False parameter tells Pandas not to include the index column in the table. Finally, we print the resulting HTML table.

You can customize the appearance of the table using CSS styles or the style parameter of the to_html() method. For example, you can add a border to the table by setting the border style to 1:

python
table_html = df.to_html(index=False, style={'border': '1px solid black'})

This will add a 1-pixel black border around the table.