Merk
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Converts the existing DataFrame into a pandas-on-Spark DataFrame.
Syntax
pandas_api(index_col: Optional[Union[str, List[str]]] = None)
Parameters
| Parameter | Type | Description |
|---|---|---|
index_col |
str or list of str, optional | Index column of table in Spark. |
Returns
PandasOnSparkDataFrame
Notes
If a pandas-on-Spark DataFrame is converted to a Spark DataFrame and then back to pandas-on-Spark, it will lose the index information and the original index will be turned into a normal column.
This is only available if Pandas is installed and available.
Examples
df = spark.createDataFrame(
[(14, "Tom"), (23, "Alice"), (16, "Bob")], ["age", "name"])
df.pandas_api()
# age name
# 0 14 Tom
# 1 23 Alice
# 2 16 Bob
df.pandas_api(index_col="age")
# name
# age
# 14 Tom
# 23 Alice
# 16 Bob