Bryan Cutler created SPARK-23018:
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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.
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