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1 | 1 | package org.jetbrains.kotlinx.dataframe.api |
2 | 2 |
|
3 | 3 | import io.kotest.assertions.throwables.shouldThrow |
| 4 | +import io.kotest.matchers.shouldBe |
| 5 | +import org.jetbrains.kotlinx.dataframe.nrow |
| 6 | +import org.jetbrains.kotlinx.dataframe.samples.api.age |
4 | 7 | import org.jetbrains.kotlinx.dataframe.samples.api.firstName |
| 8 | +import org.jetbrains.kotlinx.dataframe.samples.api.isHappy |
| 9 | +import org.jetbrains.kotlinx.dataframe.samples.api.lastName |
5 | 10 | import org.jetbrains.kotlinx.dataframe.samples.api.name |
| 11 | +import org.jetbrains.kotlinx.dataframe.samples.api.weight |
6 | 12 | import org.junit.Test |
7 | 13 |
|
8 | 14 | class FirstTests : ColumnsSelectionDslTests() { |
@@ -36,8 +42,227 @@ class FirstTests : ColumnsSelectionDslTests() { |
36 | 42 | df.select { "name".firstCol { col -> col.any { it == "Alice" } } }, |
37 | 43 | df.select { Person::name.firstCol { col -> col.any { it == "Alice" } } }, |
38 | 44 | df.select { NonDataSchemaPerson::name.firstCol { col -> col.any { it == "Alice" } } }, |
| 45 | + df.select { pathOf("name").firstCol() }, |
39 | 46 | df.select { pathOf("name").firstCol { col -> col.any { it == "Alice" } } }, |
40 | 47 | df.select { it["name"].asColumnGroup().firstCol { col -> col.any { it == "Alice" } } }, |
41 | 48 | ).shouldAllBeEqual() |
42 | 49 | } |
| 50 | + |
| 51 | + @Test |
| 52 | + fun `first on DataColumn`() { |
| 53 | + df.name.lastName.first() shouldBe "Cooper" |
| 54 | + df.age.first { it in 18..<40 } shouldBe 20 |
| 55 | + |
| 56 | + shouldThrow<IndexOutOfBoundsException> { |
| 57 | + df.drop(df.nrow).isHappy.first() |
| 58 | + } |
| 59 | + } |
| 60 | + |
| 61 | + @Test |
| 62 | + fun `firstOrNull on DataColumn`() { |
| 63 | + df.name.lastName.firstOrNull() shouldBe "Cooper" |
| 64 | + df.drop(2).weight.firstOrNull() shouldBe null |
| 65 | + df.drop(df.nrow).age.firstOrNull() shouldBe null |
| 66 | + |
| 67 | + df.age.firstOrNull { it in 21..30 } shouldBe 30 |
| 68 | + df.age.firstOrNull { it > 50 } shouldBe null |
| 69 | + } |
| 70 | + |
| 71 | + @Test |
| 72 | + fun `first on DataFrame`() { |
| 73 | + df.first().name.lastName shouldBe "Cooper" |
| 74 | + df.first { !isHappy }.name.lastName shouldBe "Daniels" |
| 75 | + |
| 76 | + shouldThrow<NoSuchElementException> { |
| 77 | + df.drop(df.nrow).first() |
| 78 | + } |
| 79 | + shouldThrow<NoSuchElementException> { |
| 80 | + df.first { age > 50 } |
| 81 | + } |
| 82 | + shouldThrow<NoSuchElementException> { |
| 83 | + df.drop(df.nrow).first { isHappy } |
| 84 | + } |
| 85 | + } |
| 86 | + |
| 87 | + @Test |
| 88 | + fun `firstOrNull on DataFrame`() { |
| 89 | + df.firstOrNull()?.name?.lastName shouldBe "Cooper" |
| 90 | + df.drop(df.nrow).firstOrNull() shouldBe null |
| 91 | + |
| 92 | + df.firstOrNull { !isHappy }?.name?.lastName shouldBe "Daniels" |
| 93 | + df.firstOrNull { age > 50 } shouldBe null |
| 94 | + df.drop(df.nrow).firstOrNull { isHappy } shouldBe null |
| 95 | + } |
| 96 | + |
| 97 | + @Test |
| 98 | + fun `first on GroupBy`() { |
| 99 | + val grouped = df.groupBy { isHappy } |
| 100 | + val reducedGrouped = grouped.first() |
| 101 | + val firstHappy = reducedGrouped.values()[0] |
| 102 | + val firstUnhappy = reducedGrouped.values()[1] |
| 103 | + |
| 104 | + firstHappy shouldBe dataFrameOf( |
| 105 | + "isHappy" to columnOf(true), |
| 106 | + "name" to columnOf( |
| 107 | + "firstName" to columnOf("Alice"), |
| 108 | + "lastName" to columnOf("Cooper"), |
| 109 | + ), |
| 110 | + "age" to columnOf(15), |
| 111 | + "city" to columnOf("London"), |
| 112 | + "weight" to columnOf(54), |
| 113 | + )[0] |
| 114 | + |
| 115 | + firstUnhappy shouldBe dataFrameOf( |
| 116 | + "isHappy" to columnOf(false), |
| 117 | + "name" to columnOf( |
| 118 | + "firstName" to columnOf("Charlie"), |
| 119 | + "lastName" to columnOf("Daniels") |
| 120 | + ), |
| 121 | + "age" to columnOf(20), |
| 122 | + "city" to columnOf("Moscow"), |
| 123 | + "weight" to columnOf(null), |
| 124 | + )[0] |
| 125 | + } |
| 126 | + |
| 127 | + @Test |
| 128 | + fun `first on GroupBy with predicate`() { |
| 129 | + val grouped = df.groupBy { isHappy } |
| 130 | + val reducedGrouped = grouped.first{ it["age"] as Int > 17 && it["city"] != "Moscow" } |
| 131 | + val firstHappy = reducedGrouped.values()[0] |
| 132 | + val firstUnhappy = reducedGrouped.values()[1] |
| 133 | + |
| 134 | + firstHappy shouldBe dataFrameOf( |
| 135 | + "isHappy" to columnOf(true), |
| 136 | + "name" to columnOf( |
| 137 | + "firstName" to columnOf("Bob"), |
| 138 | + "lastName" to columnOf("Dylan"), |
| 139 | + ), |
| 140 | + "age" to columnOf(45), |
| 141 | + "city" to columnOf("Dubai"), |
| 142 | + "weight" to columnOf(87), |
| 143 | + )[0] |
| 144 | + |
| 145 | + firstUnhappy shouldBe dataFrameOf( |
| 146 | + "isHappy" to columnOf(false), |
| 147 | + "name" to columnOf( |
| 148 | + "firstName" to columnOf("Alice"), |
| 149 | + "lastName" to columnOf("Wolf") |
| 150 | + ), |
| 151 | + "age" to columnOf(20), |
| 152 | + "city" to columnOf(null), |
| 153 | + "weight" to columnOf(55), |
| 154 | + )[0] |
| 155 | + } |
| 156 | + |
| 157 | + @Test |
| 158 | + fun `first on Pivot`() { |
| 159 | + val pivot = df.pivot { isHappy } |
| 160 | + val reducedPivot = pivot.first() |
| 161 | + val firstHappy = reducedPivot.values()[0] |
| 162 | + val firstUnhappy = reducedPivot.values()[1] |
| 163 | + firstHappy shouldBe dataFrameOf( |
| 164 | + "name" to columnOf( |
| 165 | + "firstName" to columnOf("Alice"), |
| 166 | + "lastName" to columnOf("Cooper") |
| 167 | + ), |
| 168 | + "age" to columnOf(15), |
| 169 | + "city" to columnOf("London"), |
| 170 | + "weight" to columnOf(54), |
| 171 | + )[0] |
| 172 | + |
| 173 | + firstUnhappy shouldBe dataFrameOf( |
| 174 | + "name" to columnOf( |
| 175 | + "firstName" to columnOf("Charlie"), |
| 176 | + "lastName" to columnOf("Daniels") |
| 177 | + ), |
| 178 | + "age" to columnOf(20), |
| 179 | + "city" to columnOf("Moscow"), |
| 180 | + "weight" to columnOf(null), |
| 181 | + )[0] |
| 182 | + } |
| 183 | + |
| 184 | + @Test |
| 185 | + fun `first on Pivot with predicate`() { |
| 186 | + val pivot = df.pivot { isHappy } |
| 187 | + val reducedPivotAdults = pivot.first { age > 17 } |
| 188 | + val firstHappyAdult = reducedPivotAdults.values()[0] |
| 189 | + val firstUnhappyAdult = reducedPivotAdults.values()[1] |
| 190 | + |
| 191 | + firstHappyAdult shouldBe dataFrameOf( |
| 192 | + "name" to columnOf( |
| 193 | + "firstName" to columnOf("Bob"), |
| 194 | + "lastName" to columnOf("Dylan") |
| 195 | + ), |
| 196 | + "age" to columnOf(45), |
| 197 | + "city" to columnOf("Dubai"), |
| 198 | + "weight" to columnOf(87), |
| 199 | + )[0] |
| 200 | + |
| 201 | + firstUnhappyAdult shouldBe dataFrameOf( |
| 202 | + "name" to columnOf( |
| 203 | + "firstName" to columnOf("Charlie"), |
| 204 | + "lastName" to columnOf("Daniels") |
| 205 | + ), |
| 206 | + "age" to columnOf(20), |
| 207 | + "city" to columnOf("Moscow"), |
| 208 | + "weight" to columnOf(null), |
| 209 | + )[0] |
| 210 | + } |
| 211 | + |
| 212 | + @Test |
| 213 | + fun `first on PivotGroupBy`() { |
| 214 | + val students = dataFrameOf( |
| 215 | + "name" to columnOf("Alice", "Alice", "Alice", "Alice", "Bob", "Bob", "Bob", "Bob"), |
| 216 | + "age" to columnOf(15, 15, 20, 20, 15, 15, 20, 20), |
| 217 | + "group" to columnOf(1, 2, 1, 2, 1, 2, 1, 2) |
| 218 | + ) |
| 219 | + val studentsPivotGrouped = students.pivot("age").groupBy("name") |
| 220 | + val studentsPivotGroupedReduced = studentsPivotGrouped.first().values() |
| 221 | + val expectedDf = dataFrameOf( |
| 222 | + "name" to columnOf("Alice", "Bob"), |
| 223 | + "age" to columnOf( |
| 224 | + "15" to columnOf(1, 1), |
| 225 | + "20" to columnOf(1, 1), |
| 226 | + ) |
| 227 | + ) |
| 228 | + studentsPivotGroupedReduced shouldBe expectedDf |
| 229 | + } |
| 230 | + |
| 231 | + @Test |
| 232 | + fun `first on PivotGroupBy with predicate`() { |
| 233 | + val students = dataFrameOf( |
| 234 | + "name" to columnOf("Alice", "Alice", "Alice", "Alice", "Bob", "Bob", "Bob", "Bob"), |
| 235 | + "age" to columnOf(15, 15, 20, 20, 15, 15, 20, 20), |
| 236 | + "group" to columnOf(1, 2, 1, 2, 1, 2, 1, 2) |
| 237 | + ) |
| 238 | + val studentsPivotGrouped = students.pivot("age").groupBy("name") |
| 239 | + val studentsPivotGroupedReduced = studentsPivotGrouped.first { it["group"] == 2 }.values() |
| 240 | + val expected = dataFrameOf( |
| 241 | + "name" to columnOf("Alice", "Bob"), |
| 242 | + "age" to columnOf( |
| 243 | + "15" to columnOf(2, 2), |
| 244 | + "20" to columnOf(2, 2), |
| 245 | + ) |
| 246 | + ) |
| 247 | + studentsPivotGroupedReduced shouldBe expected |
| 248 | + } |
| 249 | + |
| 250 | + @Test |
| 251 | + fun `first on PivotGroupBy with predicate without match`() { |
| 252 | + val students = dataFrameOf( |
| 253 | + "name" to columnOf("Alice", "Alice", "Alice", "Alice", "Bob", "Bob", "Bob", "Bob"), |
| 254 | + "age" to columnOf(15, 15, 20, 20, 15, 15, 20, 20), |
| 255 | + "group" to columnOf(1, 2, 1, 2, 1, 2, 1, 2) |
| 256 | + ) |
| 257 | + val studentsPivotGrouped = students.pivot("age").groupBy("name") |
| 258 | + val studentsPivotGroupedReduced = studentsPivotGrouped.first { it["group"] == 3 }.values() |
| 259 | + val expected = dataFrameOf( |
| 260 | + "name" to columnOf("Alice", "Bob"), |
| 261 | + "age" to columnOf( |
| 262 | + "15" to columnOf(null, null), |
| 263 | + "20" to columnOf(null, null), |
| 264 | + ) |
| 265 | + ) |
| 266 | + studentsPivotGroupedReduced shouldBe expected |
| 267 | + } |
43 | 268 | } |
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