xinrong-databricks commented on code in PR #36793:
URL: https://github.com/apache/spark/pull/36793#discussion_r894695373
##########
python/pyspark/sql/session.py:
##########
@@ -952,12 +953,29 @@ def createDataFrame( # type: ignore[misc]
schema = [x.encode("utf-8") if not isinstance(x, str) else x for x
in schema]
try:
- import pandas
+ import pandas as pd
has_pandas = True
except Exception:
has_pandas = False
- if has_pandas and isinstance(data, pandas.DataFrame):
+
+ try:
+ import numpy as np
+
+ has_numpy = True
+ except Exception:
+ has_numpy = False
+
+ if has_numpy and isinstance(data, np.ndarray):
+ from pyspark.sql.pandas.utils import require_minimum_pandas_version
+
+ require_minimum_pandas_version()
+ if data.ndim not in [1, 2]:
+ raise ImportError("NumPy array input should be of 1 or 2
dimensions.")
+ column_names = ["value"] if data.ndim == 1 else ["_1", "_2"]
Review Comment:
We seem to infer the schema of the input list from the first element only.
To support `spark.createDataFrame([1, 2])`, we may assume the elements in the
list are of the same type. Is that acceptable?
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