zhengruifeng commented on code in PR #38803:
URL: https://github.com/apache/spark/pull/38803#discussion_r1033063659
##########
python/pyspark/sql/connect/session.py:
##########
@@ -205,6 +207,34 @@ def __init__(self, connectionString: str, userId:
Optional[str] = None):
# Create the reader
self.read = DataFrameReader(self)
+ def createDataFrame(self, data: "pd.DataFrame") -> "DataFrame":
+ """
+ Creates a :class:`DataFrame` from a :class:`pandas.DataFrame`.
+
+ .. versionadded:: 3.4.0
+
+
+ Parameters
+ ----------
+ data : :class:`pandas.DataFrame`
+
+ Returns
+ -------
+ :class:`DataFrame`
+
+ Examples
+ --------
+ >>> import pandas
+ >>> pdf = pandas.DataFrame({"a": [1, 2, 3], "b": ["a", "b", "c"]})
+ >>> self.connect.createDataFrame(pdf).collect()
+ [Row(a=1, b='a'), Row(a=2, b='b'), Row(a=3, b='c')]
+
+ """
+ assert data is not None
+ if len(data) == 0:
+ raise ValueError("Input data cannot be empty")
Review Comment:
IIRC, `createDataFrame` in pyspark doesnot support empty pandas dataframe. I
think it would be fine to throw an error here.
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