/*
* Joinery -- Data frames for Java
* Copyright (c) 2014, 2015 IBM Corp.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package joinery;
import static org.junit.Assert.assertEquals;
import java.io.IOException;
import java.util.Arrays;
import org.junit.Before;
import org.junit.Test;
public class DataFrameShapingTest {
private DataFrame<Object> df;
@Before
public void setUp()
throws IOException {
df = DataFrame.readCsv(ClassLoader.getSystemResourceAsStream("shaping.csv"));
}
@Test
public void testReshapeIntAddColumns() {
assertEquals(5, df.reshape(df.length(), 5).size());
}
@Test
public void testReshapeIntTruncateColumns() {
assertEquals(2, df.reshape(df.length(), 2).size());
}
@Test
public void testReshapeIntAddRows() {
assertEquals(10, df.reshape(10, df.size()).length());
}
@Test
public void testReshapeIntTruncateRows() {
assertEquals(4, df.reshape(4, df.size()).length());
}
@Test
public void testReshapeStringAddColumns() {
assertEquals(5, df.reshape(df.index(), Arrays.<Object>asList("a", "b", "c", "d", "e")).size());
}
@Test
public void testReshapeStringTruncateColumns() {
assertEquals(2, df.reshape(df.index(), Arrays.<Object>asList("a", "b")).size());
}
@Test
public void testReshapeStringAddRows() {
assertEquals(10, df.reshape(Arrays.<Object>asList("1", "2", "3", "4", "5", "6", "7", "8", "9", "10"), df.columns()).length());
}
@Test
public void testReshapeStringTruncateRows() {
assertEquals(4, df.reshape(Arrays.<Object>asList("1", "2", "3", "4"), df.columns()).length());
}
}