Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/15053 @mortada I see. Then, - It'd not almost increase the test time. - It will improve the documentation. - We have a reference for this, `numpy` Therefore, +1 for each docstring within each method. Can we remove the dataframes in `globs` and then do the same thing across PySpark documentation? I just took a quicky look and it seems we have more instances such as .. ``` $ grep -r "globs\['df" . ./pyspark/sql/column.py: globs['df'] = sc.parallelize([(2, 'Alice'), (5, 'Bob')]) \ ./pyspark/sql/context.py: globs['df'] = rdd.toDF() ./pyspark/sql/dataframe.py: globs['df'] = sc.parallelize([(2, 'Alice'), (5, 'Bob')])\ ./pyspark/sql/dataframe.py: globs['df2'] = sc.parallelize([Row(name='Tom', height=80), Row(name='Bob', height=85)]).toDF() ./pyspark/sql/dataframe.py: globs['df3'] = sc.parallelize([Row(name='Alice', age=2), ./pyspark/sql/dataframe.py: globs['df4'] = sc.parallelize([Row(name='Alice', age=10, height=80), ./pyspark/sql/functions.py: globs['df'] = sc.parallelize([Row(name='Alice', age=2), Row(name='Bob', age=5)]).toDF() ./pyspark/sql/group.py: globs['df'] = sc.parallelize([(2, 'Alice'), (5, 'Bob')]) \ ./pyspark/sql/group.py: globs['df3'] = sc.parallelize([Row(name='Alice', age=2, height=80), ./pyspark/sql/group.py: globs['df4'] = sc.parallelize([Row(course="dotNET", year=2012, earnings=10000), ./pyspark/sql/readwriter.py: globs['df'] = spark.read.parquet('python/test_support/sql/parquet_partitioned') ./pyspark/sql/session.py: globs['df'] = rdd.toDF() ./pyspark/sql/streaming.py: globs['df'] = \ ``` Also, I think we'd better have a JIRA.
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