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| 1 | +# |
| 2 | +# Licensed to the Apache Software Foundation (ASF) under one or more |
| 3 | +# contributor license agreements. See the NOTICE file distributed with |
| 4 | +# this work for additional information regarding copyright ownership. |
| 5 | +# The ASF licenses this file to You under the Apache License, Version 2.0 |
| 6 | +# (the "License"); you may not use this file except in compliance with |
| 7 | +# the License. You may obtain a copy of the License at |
| 8 | +# |
| 9 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | +# |
| 11 | +# Unless required by applicable law or agreed to in writing, software |
| 12 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 13 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | +# See the License for the specific language governing permissions and |
| 15 | +# limitations under the License. |
| 16 | +# |
| 17 | + |
| 18 | +# $example on$ |
| 19 | +from pyspark.ml.feature import Imputer |
| 20 | +# $example off$ |
| 21 | +from pyspark.sql import SparkSession |
| 22 | + |
| 23 | +if __name__ == "__main__": |
| 24 | + spark = SparkSession\ |
| 25 | + .builder\ |
| 26 | + .appName("imputer example")\ |
| 27 | + .getOrCreate() |
| 28 | + |
| 29 | + # $example on$ |
| 30 | + dataFrame = spark.createDataFrame([ |
| 31 | + (1.0, float("nan")), |
| 32 | + (2.0, float("nan")), |
| 33 | + (float("nan"), 3.0), |
| 34 | + (4.0, 4.0), |
| 35 | + (5.0, 5.0) |
| 36 | + ], ["a", "b"]) |
| 37 | + |
| 38 | + imputer = Imputer(inputCols=["a", "b"], outputCols=["out_a", "out_b"]) |
| 39 | + |
| 40 | + imputerModel = imputer.fit(dataFrame) |
| 41 | + |
| 42 | + imputedData = imputerModel.transform(dataFrame) |
| 43 | + imputedData.select("a", "b", "out_a", "out_b").show() |
| 44 | + # $example off$ |
| 45 | + |
| 46 | + spark.stop() |
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