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author | Reynold Xin <rxin@databricks.com> | 2015-06-18 18:41:15 -0700 |
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committer | Reynold Xin <rxin@databricks.com> | 2015-06-18 18:41:15 -0700 |
commit | dc413138995b45a7a957acae007dc11622110310 (patch) | |
tree | 2e47792a64a90725ba3ba4c20a30a338c82fdae7 /python/pyspark/sql/functions.py | |
parent | 207a98ca59757d9cdd033d0f72863ad9ffb4e4b9 (diff) | |
download | spark-dc413138995b45a7a957acae007dc11622110310.tar.gz spark-dc413138995b45a7a957acae007dc11622110310.tar.bz2 spark-dc413138995b45a7a957acae007dc11622110310.zip |
[SPARK-8218][SQL] Binary log math function update.
Some minor updates based on after merging #6725.
Author: Reynold Xin <rxin@databricks.com>
Closes #6871 from rxin/log and squashes the following commits:
ab51542 [Reynold Xin] Use JVM log
76fc8de [Reynold Xin] Fixed arg.
a7c1522 [Reynold Xin] [SPARK-8218][SQL] Binary log math function update.
Diffstat (limited to 'python/pyspark/sql/functions.py')
-rw-r--r-- | python/pyspark/sql/functions.py | 13 |
1 files changed, 9 insertions, 4 deletions
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py index 177fc196e0..acdb01d3d3 100644 --- a/python/pyspark/sql/functions.py +++ b/python/pyspark/sql/functions.py @@ -404,18 +404,23 @@ def when(condition, value): return Column(jc) -@since(1.4) -def log(col, base=math.e): +@since(1.5) +def log(arg1, arg2=None): """Returns the first argument-based logarithm of the second argument. - >>> df.select(log(df.age, 10.0).alias('ten')).map(lambda l: str(l.ten)[:7]).collect() + If there is only one argument, then this takes the natural logarithm of the argument. + + >>> df.select(log(10.0, df.age).alias('ten')).map(lambda l: str(l.ten)[:7]).collect() ['0.30102', '0.69897'] >>> df.select(log(df.age).alias('e')).map(lambda l: str(l.e)[:7]).collect() ['0.69314', '1.60943'] """ sc = SparkContext._active_spark_context - jc = sc._jvm.functions.log(base, _to_java_column(col)) + if arg2 is None: + jc = sc._jvm.functions.log(_to_java_column(arg1)) + else: + jc = sc._jvm.functions.log(arg1, _to_java_column(arg2)) return Column(jc) |