Revert "[SPARK-49531][PYTHON][CONNECT] Support line plot with plotly …

…backend"

This reverts commit 3b8ddda.

dev/sparktestsupport/modules.py

@@ -548,8 +548,6 @@ def __hash__(self):
         "pyspark.sql.tests.test_udtf",
         "pyspark.sql.tests.test_utils",
         "pyspark.sql.tests.test_resources",
-        "pyspark.sql.tests.plot.test_frame_plot",
-        "pyspark.sql.tests.plot.test_frame_plot_plotly",
     ],
 )
 
@@ -1053,8 +1051,6 @@ def __hash__(self):
         "pyspark.sql.tests.connect.test_parity_arrow_cogrouped_map",
         "pyspark.sql.tests.connect.test_parity_python_datasource",
         "pyspark.sql.tests.connect.test_parity_python_streaming_datasource",
-        "pyspark.sql.tests.connect.test_parity_frame_plot",
-        "pyspark.sql.tests.connect.test_parity_frame_plot_plotly",
         "pyspark.sql.tests.connect.test_utils",
         "pyspark.sql.tests.connect.client.test_artifact",
         "pyspark.sql.tests.connect.client.test_artifact_localcluster",

python/pyspark/errors/error-conditions.json

@@ -1088,11 +1088,6 @@
       "Function `<func_name>` should use only POSITIONAL or POSITIONAL OR KEYWORD arguments."
     ]
   },
-  "UNSUPPORTED_PLOT_BACKEND": {
-    "message": [
-      "`<backend>` is not supported, it should be one of the values from <supported_backends>"
-    ]
-  },
   "UNSUPPORTED_SIGNATURE": {
     "message": [
       "Unsupported signature: <signature>."

python/pyspark/sql/classic/dataframe.py

@@ -58,7 +58,6 @@
 from pyspark.sql.classic.column import _to_seq, _to_list, _to_java_column
 from pyspark.sql.readwriter import DataFrameWriter, DataFrameWriterV2
 from pyspark.sql.merge import MergeIntoWriter
-from pyspark.sql.plot import PySparkPlotAccessor
 from pyspark.sql.streaming import DataStreamWriter
 from pyspark.sql.types import (
     StructType,
@@ -1863,10 +1862,6 @@ def executionInfo(self) -> Optional["ExecutionInfo"]:
             messageParameters={"member": "queryExecution"},
         )
 
-    @property
-    def plot(self) -> PySparkPlotAccessor:
-        return PySparkPlotAccessor(self)
-
 
 class DataFrameNaFunctions(ParentDataFrameNaFunctions):
     def __init__(self, df: ParentDataFrame):

python/pyspark/sql/connect/dataframe.py

@@ -83,7 +83,6 @@
     UnresolvedStar,
 )
 from pyspark.sql.connect.functions import builtin as F
-from pyspark.sql.plot import PySparkPlotAccessor
 from pyspark.sql.pandas.types import from_arrow_schema, to_arrow_schema
 from pyspark.sql.pandas.functions import _validate_pandas_udf  # type: ignore[attr-defined]
 
@@ -2240,10 +2239,6 @@ def rdd(self) -> "RDD[Row]":
     def executionInfo(self) -> Optional["ExecutionInfo"]:
         return self._execution_info
 
-    @property
-    def plot(self) -> PySparkPlotAccessor:
-        return PySparkPlotAccessor(self)
-
 
 class DataFrameNaFunctions(ParentDataFrameNaFunctions):
     def __init__(self, df: ParentDataFrame):

python/pyspark/sql/dataframe.py

@@ -39,7 +39,6 @@
 from pyspark.sql.column import Column
 from pyspark.sql.readwriter import DataFrameWriter, DataFrameWriterV2
 from pyspark.sql.merge import MergeIntoWriter
-from pyspark.sql.plot import PySparkPlotAccessor
 from pyspark.sql.streaming import DataStreamWriter
 from pyspark.sql.types import StructType, Row
 from pyspark.sql.utils import dispatch_df_method
@@ -6395,32 +6394,6 @@ def executionInfo(self) -> Optional["ExecutionInfo"]:
         """
         ...
 
-    @property
-    def plot(self) -> PySparkPlotAccessor:
-        """
-        Returns a :class:`PySparkPlotAccessor` for plotting functions.
-
-        .. versionadded:: 4.0.0
-
-        Returns
-        -------
-        :class:`PySparkPlotAccessor`
-
-        Notes
-        -----
-        This API is experimental.
-
-        Examples
-        --------
-        >>> data = [("A", 10, 1.5), ("B", 30, 2.5), ("C", 20, 3.5)]
-        >>> columns = ["category", "int_val", "float_val"]
-        >>> df = spark.createDataFrame(data, columns)
-        >>> type(df.plot)
-        <class 'pyspark.sql.plot.core.PySparkPlotAccessor'>
-        >>> df.plot.line(x="category", y=["int_val", "float_val"])  # doctest: +SKIP
-        """
-        ...
-
 
 class DataFrameNaFunctions:
     """Functionality for working with missing data in :class:`DataFrame`.