Display Full Pandas Dataframe Info in HTML: Python Solution

If you're working with Pandas dataframes in Python and you want to display the full information of the dataframe in HTML format, you can use the `to_html()` function. This function generates an HTML table with all the information of the dataframe.

To get the full information of the dataframe, you need to set the `max_rows` and `max_columns` options to `None`. This will prevent truncation of rows and columns.

Here's an example code snippet:

import pandas as pd

# Load your dataframe
df = pd.read_csv("your_data.csv")

# Set max_rows and max_columns options to None
pd.set_option("display.max_rows", None)
pd.set_option("display.max_columns", None)

# Convert dataframe to HTML and display it
html_table = df.to_html()
print(html_table)

With this code, you'll get an HTML table with the full information of your Pandas dataframe. You can then use this HTML table in your web applications or embed it in your HTML pages.

In summary, to display the full Pandas dataframe info in HTML format using Python, you need to set the `max_rows` and `max_columns` options to `None` and then convert the dataframe to HTML using the `to_html()` function.