/* * 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()); } }