Advanced data manipulation techniques

Importing Data in Java

Anthony Markham

VP Quant Developer

Column removal and addition

Drop unnecessary columns with .drop()
Add precomputed or categorical columns with .addColumns()
- Number of rows must be the same ❗

// Remove specific columns
Table cleaned = dataTable.drop("TempID", "Notes");


// Add two new columns
StringColumn statusCol = StringColumn.create("Status", "Active", "Inactive", "Active");
IntColumn priorityCol = IntColumn.create("Priority", 1, 2, 3);

Table enhanced = dataTable.addColumns(statusCol, priorityCol);

Row filtering with .dropWhere()

Removes matching rows
Uses Selection for filtering criteria

// Create a selection condition
Selection outliers = dataTable.doubleColumn("Value")
    .isLessThan(lowerBound)
    .or(dataTable.doubleColumn("Value")
        .isGreaterThan(upperBound));


// Remove rows matching the condition
Table cleanedData = dataTable.dropWhere(outliers);

Row counting

.rowCount() - counts the number of rows in a table

// Compare row counts
System.out.println("Original rows: " + dataTable.rowCount());
System.out.println("After dropping outliers: " + 
    cleanedData.rowCount());

Original rows: 100
After dropping outliers: 95

Boolean filtering

Supports and,or, not methods

// Complex boolean filtering
Selection techHighPaid = dataTable.stringColumn("Department")
    .isEqualTo("Technology")
    .and(dataTable.doubleColumn("Salary")
        .isGreaterThan(100000));


// Inverse selection (NOT)
Selection nonTechOrLowPaid = techHighPaid.not();

Transformation with .map()

Applies a function to transform column values
Supports lambda expressions, making our code easy to read

// Transform an entire column with a predefined function
StringColumn upperNames = dataTable.stringColumn("Name").map(s -> s.toUpperCase());

// Transform values in a column
DoubleColumn prices = dataTable.doubleColumn("Price");
DoubleColumn discounted = prices.map(price -> price * 0.9);


// Set a name and add a column
discounted.setName("DiscountedPrice");
Table withDiscounts = dataTable.addColumns(discounted);

Summary

.drop() - Remove columns from table
.dropWhere() - Remove rows matching condition
.addColumns() - Add new columns to table
.map() - Transform column values

// Core advanced manipulation methods
dataTable.drop("TemporaryID");              
dataTable.dropWhere(selection);             
dataTable.addColumns(newColumn);            
doubleCol.map(value -> value * 2);

Let's practice!

Importing Data in Java