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https://issues.apache.org/jira/browse/SPARK-23018?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16319417#comment-16319417
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Bryan Cutler commented on SPARK-23018:
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I can submit a PR
> 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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