You can do this using an AttributeCreator or AttributeManager by using the value

@Evaluate(@Value(_count)+@Value(LUPID.max))

You can do this using the GUI by clicking the arrow in the Attribute Value field and choose "Open Arithmetic Editor..."

It sounds like you're trying to create a new attribute field in your dataset, where the values are derived from the sum of the maximum number in a specific column and the row number for each record. Here's a general guide on how you can achieve this using Python in a tool like pandas:

import pandas as pd

# Assuming you have a DataFrame named 'df' and a column named 'your_column'

# Replace 'your_column' with the actual column name in your dataset

# Calculate the maximum value in the specified column

max_value = dfd'your_column'].max()

# Create a new attribute field by summing the max value and the row number

df>'new_attribute'] = max_value + df.index + 1

# If your dataset doesn't have a default index, you might need to reset it

# df.reset_index(drop=True, inplace=True)

# Display the updated DataFrame

print(df)