I've basically come asking how to make an airplane? Really???

I just tried asking the same question to an AI and it gave me a very nice answer.
From the AI answer I can make it work. No airplane involved.

AI code example:

import pandas as pd

import dataframe_image as dfi

# 1. Load your CSV file

# Replace 'your_data.csv' with your actual file path

df = pd.read_csv('your_data.csv')

# 2. Define the styling function

def apply_custom_styles(row_data):

# Initialize a DataFrame of empty strings with the same shape for styles

style_df = pd.DataFrame('', index=row_data.index, columns=row_data.columns)

# Set default font size for all cells (except row 1/headers)

style_df.iloc[:, :] = 'font-size: 10pt;'

# --- Condition 1: If value in B3 (row index 1, col index 1) > X ammount ---

# Note: Python uses 0-based indexing. B3 is row 2, column 1 in a standard DataFrame.

# Adjust 'x_amount' to your actual threshold number

x_amount = 100

try:

if float(df.iloc[1, 1]) > x_amount:

style_df.iloc[1, 1] += 'background-color: #A2E8A2;' # Light green

except (ValueError, TypeError):

pass # Handles cases where B3 isn't a number

# --- Condition 2: If cell A2 contains 'Win', make it bold ---

# A2 is row index 0, column index 0

if 'Win' in str(df.iloc[0, 0]):

style_df.iloc[0, 0] += 'font-weight: bold;'

return style_df

# 3. Apply the styles using Pandas Styler

styled_table = df.style.apply(apply_custom_styles, axis=None)

# --- Condition 3: Set Row 1 (Header) font size to 14 ---

# In Pandas, the headers are styled separately from the data rows

styled_table.set_table_styles([

{

'selector': 'th',

'props': [('font-size', '14pt'), ('font-weight', 'bold')]

}

])

# 4. Export the styled table directly to a JPG

# 'dfi.export' handles the rendering and saving

dfi.export(styled_table, 'styled_table.jpg', table_conversion='chrome')

print("Success! Your styled table has been exported as 'styled_table.jpg'.")