tech.tablesaw.api.IntColumn Maven / Gradle / Ivy
package tech.tablesaw.api;
import com.google.common.base.Preconditions;
import com.google.common.base.Strings;
import it.unimi.dsi.fastutil.floats.FloatArrayList;
import it.unimi.dsi.fastutil.ints.IntArrayList;
import it.unimi.dsi.fastutil.ints.IntArrays;
import it.unimi.dsi.fastutil.ints.IntIterator;
import it.unimi.dsi.fastutil.ints.IntOpenHashSet;
import it.unimi.dsi.fastutil.ints.IntSet;
import tech.tablesaw.columns.AbstractColumn;
import tech.tablesaw.columns.Column;
import tech.tablesaw.filtering.IntBiPredicate;
import tech.tablesaw.filtering.IntPredicate;
import tech.tablesaw.io.TypeUtils;
import tech.tablesaw.mapping.IntMapUtils;
import tech.tablesaw.reducing.NumericReduceUtils;
import tech.tablesaw.sorting.IntComparisonUtil;
import tech.tablesaw.store.ColumnMetadata;
import tech.tablesaw.util.BitmapBackedSelection;
import tech.tablesaw.util.ReverseIntComparator;
import tech.tablesaw.util.Selection;
import tech.tablesaw.util.Stats;
import org.jetbrains.annotations.NotNull;
import static tech.tablesaw.reducing.NumericReduceUtils.*;
import java.nio.ByteBuffer;
import java.util.Arrays;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
/**
* A column that contains signed 4 byte integer values
*/
public class IntColumn extends AbstractColumn implements IntMapUtils, NumericColumn {
public static final int MISSING_VALUE = (Integer) ColumnType.INTEGER.getMissingValue();
public static final int DEFAULT_ARRAY_SIZE = 128;
private static final int BYTE_SIZE = 4;
private static final Pattern COMMA_PATTERN = Pattern.compile(",");
private IntArrayList data;
final it.unimi.dsi.fastutil.ints.IntComparator comparator = new it.unimi.dsi.fastutil.ints.IntComparator() {
@Override
public int compare(Integer i1, Integer i2) {
return compare((int) i1, (int) i2);
}
public int compare(int i1, int i2) {
int prim1 = get(i1);
int prim2 = get(i2);
return IntComparisonUtil.getInstance().compare(prim1, prim2);
}
};
public IntColumn(String name) {
this(name, new IntArrayList(DEFAULT_ARRAY_SIZE));
}
public IntColumn(String name, int initialSize) {
this(name, new IntArrayList(initialSize));
}
public IntColumn(String name, IntArrayList data) {
super(name);
this.data = data;
}
public IntColumn(String name, int[] arr) {
this(name, new IntArrayList(arr));
}
public IntColumn(ColumnMetadata metadata) {
super(metadata);
data = new IntArrayList(metadata.getSize());
}
/**
* Returns a float that is parsed from the given String
*
* We remove any commas before parsing
*/
private static int convert(String stringValue) {
if (Strings.isNullOrEmpty(stringValue) || TypeUtils.MISSING_INDICATORS.contains(stringValue)) {
return MISSING_VALUE;
}
Matcher matcher = COMMA_PATTERN.matcher(stringValue);
return Integer.parseInt(matcher.replaceAll(""));
}
public IntArrayList data() {
return data;
}
public int size() {
return data.size();
}
@Override
public ColumnType type() {
return ColumnType.INTEGER;
}
public void append(int i) {
data.add(i);
}
public void set(int index, int value) {
data.set(index, value);
}
public Selection isLessThan(int i) {
return select(isLessThan, i);
}
public Selection isGreaterThan(int i) {
return select(isGreaterThan, i);
}
public Selection isGreaterThanOrEqualTo(int i) {
return select(isGreaterThanOrEqualTo, i);
}
public Selection isLessThanOrEqualTo(int i) {
return select(isLessThanOrEqualTo, i);
}
public Selection isNotEqualTo(int i) {
return select(isNotEqualTo, i);
}
public Selection isEqualTo(int i) {
return select(isEqualTo, i);
}
public Selection isMissing() {
return select(isMissing);
}
public Selection isNotMissing() {
return select(isNotMissing);
}
public Selection isIn(int ... values) {
Selection bitmap = new BitmapBackedSelection();
for (int idx = 0; idx < data.size(); idx++) {
int next = data.getInt(idx);
for (int v : values) {
if (v == next) {
bitmap.add(idx);
break;
}
}
}
return bitmap;
}
public Selection isEqualTo(IntColumn other) {
Selection results = new BitmapBackedSelection();
int i = 0;
IntIterator otherIterator = other.iterator();
for (int next : data) {
int otherNext = otherIterator.nextInt();
if (next == otherNext) {
results.add(i);
}
i++;
}
return results;
}
@Override
public Table summary() {
return Stats.create(this).asTable();
}
/**
* Returns the count of missing values in this column
*/
@Override
public int countMissing() {
int count = 0;
for (int i = 0; i < size(); i++) {
if (get(i) == MISSING_VALUE) {
count++;
}
}
return count;
}
@Override
public int countUnique() {
Selection selection = new BitmapBackedSelection();
data.forEach(selection::add);
return selection.size();
}
@Override
public IntColumn unique() {
Selection selection = new BitmapBackedSelection();
data.forEach(selection::add);
return new IntColumn(name() + " Unique values", IntArrayList.wrap(selection.toArray()));
}
public IntSet asSet() {
return new IntOpenHashSet(data);
}
@Override
public String getString(int row) {
return String.valueOf(data.getInt(row));
}
@Override
public IntColumn emptyCopy() {
IntColumn column = new IntColumn(name(), DEFAULT_ARRAY_SIZE);
column.setComment(comment());
return column;
}
@Override
public IntColumn emptyCopy(int rowSize) {
IntColumn column = new IntColumn(name(), rowSize);
column.setComment(comment());
return column;
}
@Override
public void clear() {
data.clear();
}
@Override
public void sortAscending() {
Arrays.parallelSort(data.elements());
}
@Override
public void sortDescending() {
IntArrays.parallelQuickSort(data.elements(), ReverseIntComparator.instance());
}
@Override
public IntColumn copy() {
IntColumn column = new IntColumn(name(), data);
column.setComment(comment());
return column;
}
@Override
public boolean isEmpty() {
return data.isEmpty();
}
@Override
public void appendCell(String object) {
try {
append(convert(object));
} catch (NullPointerException e) {
throw new RuntimeException(name() + ": "
+ String.valueOf(object) + ": "
+ e.getMessage());
}
}
public int get(int index) {
return data.getInt(index);
}
@Override
public float getFloat(int index) {
return (float) data.getInt(index);
}
@Override
public it.unimi.dsi.fastutil.ints.IntComparator rowComparator() {
return comparator;
}
public int firstElement() {
if (size() > 0) {
return get(0);
}
return MISSING_VALUE;
}
// Reduce functions applied to the whole column
public long sum() {
return Math.round(sum.reduce(toDoubleArray()));
}
public double product() {
return product.reduce(this);
}
public double mean() {
return mean.reduce(this);
}
public double median() {
return median.reduce(this);
}
public double quartile1() {
return quartile1.reduce(this);
}
public double quartile3() {
return quartile3.reduce(this);
}
public double percentile(double percentile) {
return NumericReduceUtils.percentile(this.toDoubleArray(), percentile);
}
public double range() {
return range.reduce(this);
}
public double max() {
return (int) Math.round(max.reduce(this));
}
public double min() {
return (int) Math.round(min.reduce(this));
}
public double variance() {
return variance.reduce(this);
}
public double populationVariance() {
return populationVariance.reduce(this);
}
public double standardDeviation() {
return stdDev.reduce(this);
}
public double sumOfLogs() {
return sumOfLogs.reduce(this);
}
public double sumOfSquares() {
return sumOfSquares.reduce(this);
}
public double geometricMean() {
return geometricMean.reduce(this);
}
/**
* Returns the quadraticMean, aka the root-mean-square, for all values in this column
*/
public double quadraticMean() {
return quadraticMean.reduce(this);
}
public double kurtosis() {
return kurtosis.reduce(this);
}
public double skewness() {
return skewness.reduce(this);
}
// boolean functions
public Selection isPositive() {
return select(isPositive);
}
public Selection isNegative() {
return select(isNegative);
}
public Selection isNonNegative() {
return select(isNonNegative);
}
public Selection isZero() {
return select(isZero);
}
public Selection isEven() {
return select(isEven);
}
public Selection isOdd() {
return select(isOdd);
}
public FloatArrayList toFloatArray() {
FloatArrayList output = new FloatArrayList(data.size());
for (int aData : data) {
output.add(aData);
}
return output;
}
public int[] toIntArray() {
int[] output = new int[data.size()];
for (int i = 0; i < data.size(); i++) {
output[i] = data.getInt(i);
}
return output;
}
public double[] toDoubleArray() {
double[] output = new double[data.size()];
for (int i = 0; i < data.size(); i++) {
output[i] = data.getInt(i);
}
return output;
}
public String print() {
StringBuilder builder = new StringBuilder();
builder.append(title());
for (int i : data) {
builder.append(String.valueOf(i));
builder.append('\n');
}
return builder.toString();
}
@Override
public String toString() {
return "Int column: " + name();
}
@Override
public void append(Column column) {
Preconditions.checkArgument(column.type() == this.type());
IntColumn intColumn = (IntColumn) column;
for (int i = 0; i < intColumn.size(); i++) {
append(intColumn.get(i));
}
}
public IntColumn selectIf(IntPredicate predicate) {
IntColumn column = emptyCopy();
IntIterator intIterator = iterator();
while (intIterator.hasNext()) {
int next = intIterator.nextInt();
if (predicate.test(next)) {
column.append(next);
}
}
return column;
}
public IntColumn select(Selection selection) {
IntColumn column = emptyCopy();
for (Integer next : selection) {
column.append(data.getInt(next));
}
return column;
}
public Selection select(IntPredicate predicate) {
Selection bitmap = new BitmapBackedSelection();
for (int idx = 0; idx < data.size(); idx++) {
int next = data.getInt(idx);
if (predicate.test(next)) {
bitmap.add(idx);
}
}
return bitmap;
}
public Selection select(IntBiPredicate predicate, int value) {
Selection bitmap = new BitmapBackedSelection();
for (int idx = 0; idx < data.size(); idx++) {
int next = data.getInt(idx);
if (predicate.test(next, value)) {
bitmap.add(idx);
}
}
return bitmap;
}
public long sumIf(IntPredicate predicate) {
long sum = 0;
IntIterator intIterator = iterator();
while (intIterator.hasNext()) {
int next = intIterator.nextInt();
if (predicate.test(next)) {
sum += next;
}
}
return sum;
}
public long countIf(IntPredicate predicate) {
long count = 0;
IntIterator intIterator = iterator();
while (intIterator.hasNext()) {
int next = intIterator.nextInt();
if (predicate.test(next)) {
count++;
}
}
return count;
}
public IntColumn remainder(IntColumn column2) {
IntColumn result = new IntColumn(name() + " % " + column2.name(), size());
for (int r = 0; r < size(); r++) {
result.append(get(r) % column2.get(r));
}
return result;
}
public IntColumn add(IntColumn column2) {
IntColumn result = new IntColumn(name() + " + " + column2.name(), size());
for (int r = 0; r < size(); r++) {
result.append(get(r) + column2.get(r));
}
return result;
}
public IntColumn addToEach(int value) {
IntColumn result = new IntColumn(name() + " + " + value, size());
for (int r = 0; r < size(); r++) {
result.append(get(r) + value);
}
return result;
}
public IntColumn subtract(IntColumn column2) {
IntColumn result = new IntColumn(name() + " - " + column2.name(), size());
for (int r = 0; r < size(); r++) {
result.append(get(r) - column2.get(r));
}
return result;
}
public IntColumn multiply(IntColumn column2) {
IntColumn result = new IntColumn(name() + " * " + column2.name(), size());
for (int r = 0; r < size(); r++) {
result.append(get(r) * column2.get(r));
}
return result;
}
public FloatColumn multiply(FloatColumn column2) {
FloatColumn result = new FloatColumn(name() + " * " + column2.name(), size());
for (int r = 0; r < size(); r++) {
result.append(get(r) * column2.get(r));
}
return result;
}
public FloatColumn divide(FloatColumn column2) {
FloatColumn result = new FloatColumn(name() + " / " + column2.name(), size());
for (int r = 0; r < size(); r++) {
result.append(get(r) / column2.get(r));
}
return result;
}
/**
* Returns the largest ("top") n values in the column
*
* @param n The maximum number of records to return. The actual number will be smaller if n is greater than the
* number of observations in the column
* @return A list, possibly empty, of the largest observations
*/
public IntArrayList top(int n) {
IntArrayList top = new IntArrayList();
int[] values = data.toIntArray();
IntArrays.parallelQuickSort(values, ReverseIntComparator.instance());
for (int i = 0; i < n && i < values.length; i++) {
top.add(values[i]);
}
return top;
}
/**
* Returns the smallest ("bottom") n values in the column
*
* @param n The maximum number of records to return. The actual number will be smaller if n is greater than the
* number of observations in the column
* @return A list, possibly empty, of the smallest n observations
*/
public IntArrayList bottom(int n) {
IntArrayList bottom = new IntArrayList();
int[] values = data.toIntArray();
IntArrays.parallelQuickSort(values);
for (int i = 0; i < n && i < values.length; i++) {
bottom.add(values[i]);
}
return bottom;
}
@NotNull
@Override
public IntIterator iterator() {
return data.iterator();
}
public Stats stats() {
FloatColumn values = new FloatColumn(name(), toFloatArray());
return Stats.create(values);
}
public boolean contains(int i) {
return data.contains(i);
}
@Override
public int byteSize() {
return BYTE_SIZE;
}
/**
* Returns the contents of the cell at rowNumber as a byte[]
*/
@Override
public byte[] asBytes(int rowNumber) {
return ByteBuffer.allocate(4).putInt(get(rowNumber)).array();
}
@Override
public IntColumn difference() {
IntColumn returnValue = new IntColumn(this.name(), this.size());
returnValue.append(IntColumn.MISSING_VALUE);
for (int current = 0; current < this.size(); current++) {
if (current + 1 < this.size()) {
int currentValue = this.get(current);
int nextValue = this.get(current + 1);
if (current == IntColumn.MISSING_VALUE || nextValue == IntColumn.MISSING_VALUE) {
returnValue.append(IntColumn.MISSING_VALUE);
} else {
returnValue.append(nextValue - currentValue);
}
}
}
return returnValue;
}
}