Bryan Cutler created SPARK-23018: ------------------------------------ Summary: PySpark creatDataFrame causes Pandas warning of assignment to a copy of a reference Key: SPARK-23018 URL: https://issues.apache.org/jira/browse/SPARK-23018 Project: Spark Issue Type: Bug Components: PySpark Affects Versions: 2.3.0 Reporter: Bryan Cutler
When calling {{SparkSession.createDataFrame}} with a Pandas DataFrame as input (with Arrow disabled) a Pandas warning is raised when the DataFrame is a slice: {noformat} In [1]: import numpy as np ...: import pandas as pd ...: pdf = pd.DataFrame(np.random.rand(100, 2)) ...: In [2]: df = spark.createDataFrame(pdf[:10]) /home/bryan/git/spark/python/pyspark/sql/session.py:476: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy pdf[column] = s {noformat} This doesn't seem to cause a bug in this case, but might for others. It could be avoided by only assigning the series if it was a modified timestamp field. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org