EqualToColumn / Boolean Layer

Create boolean mask columns by comparing values between two columns element-wise. Similar to pandas df['A'] == df['B'] or R's equal() function. Returns True where corresponding values match exactly.

Common applications:

Data verification
Change detection
Cross-validation
Quality control
Version comparison

Example:

Index	Column A	Column B	Equal
0	apple	apple	true
1	42	42	true
2	null	apple	null
3	orange	ORANGE	false
4	42.0	42	true

Table

Compare

[, ...]

List of column equality comparisons to perform. Each creates a new boolean column. Common scenarios:

Multiple field validations
Batch data verification
System synchronization checks
Cross-reference validation

At least one comparison must be specified.

SelectLeft

column

The first column for comparison. Must be comparable with SelectRight. If this column contains null values, the result will be null for those rows.

SelectRight

column

The second column for comparison. Must be comparable with SelectLeft. If this column contains null values, the result will be null for those rows. Common pairs:

predicted vs. actual values
old vs. new versions
manual vs. automated results

Type conversion may occur for compatible types (e.g., int vs. float).

Name for the new column. If not provided, the system generates a unique name. If AsColumn matches an existing column, the existing column is replaced. The name should follow valid column naming conventions.