|
| 1 | +""" |
| 2 | +Test for issue 1429: |
| 3 | +https://github.com/ydataai/ydata-profiling/issues/1429 |
| 4 | +""" |
| 5 | +import numpy as np |
| 6 | + |
| 7 | +from ydata_profiling.config import SparkSettings |
| 8 | +from ydata_profiling.model.spark.describe_numeric_spark import numeric_stats_spark |
| 9 | +from ydata_profiling.model.spark.describe_counts_spark import describe_counts_spark |
| 10 | +from pyspark.sql import types as T, SparkSession, DataFrame |
| 11 | + |
| 12 | + |
| 13 | +def create_test_df(spark: SparkSession) -> DataFrame: |
| 14 | + schema = T.StructType( |
| 15 | + [ |
| 16 | + T.StructField("category", T.StringType(), True), |
| 17 | + T.StructField("double", T.DoubleType(), True) |
| 18 | + ] |
| 19 | + ) |
| 20 | + |
| 21 | + data = [ |
| 22 | + (f"test_{num + 1}", float(num)) for num in range(205) |
| 23 | + ] |
| 24 | + |
| 25 | + # Adding dupes |
| 26 | + data.extend( |
| 27 | + [ |
| 28 | + ("test_1", float(1)) for _ in range(205) |
| 29 | + ] |
| 30 | + ) |
| 31 | + |
| 32 | + # Adding nulls |
| 33 | + data.extend( |
| 34 | + [ |
| 35 | + (None, None) for _ in range(100) |
| 36 | + ] |
| 37 | + ) |
| 38 | + |
| 39 | + return spark.createDataFrame(data, schema=schema) |
| 40 | + |
| 41 | + |
| 42 | +def test_describe_numeric_spark(spark_session): |
| 43 | + test_df = create_test_df(spark_session) |
| 44 | + |
| 45 | + numeric_stats = numeric_stats_spark(df=test_df.select("double"), summary={}) |
| 46 | + |
| 47 | + for key, value in numeric_stats.items(): |
| 48 | + assert value is not None |
| 49 | + |
| 50 | + |
| 51 | +def test_describe_counts_spark(spark_session): |
| 52 | + test_df = create_test_df(spark_session) |
| 53 | + |
| 54 | + _, _, summary = describe_counts_spark(config=SparkSettings(), series=test_df.select("category"), summary={}) |
| 55 | + |
| 56 | + assert summary["value_counts_without_nan"].loc["test_1"] == 206 |
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