305abe1e57
Author: Reynold Xin <rxin@databricks.com> Closes #5287 from rxin/pyspark-df-doc-cleanup-context and squashes the following commits: 1841b60 [Reynold Xin] Lint. f2007f1 [Reynold Xin] functions and types. bc3b72b [Reynold Xin] More improvements to DataFrame Python doc. ac1d4c0 [Reynold Xin] Bug fix. b163365 [Reynold Xin] Python fix. Added Experimental flag to DataFrameNaFunctions. 608422d [Reynold Xin] [Doc] Cleanup context.py Python docs.
48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""
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Important classes of Spark SQL and DataFrames:
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- L{SQLContext}
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Main entry point for :class:`DataFrame` and SQL functionality.
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- L{DataFrame}
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A distributed collection of data grouped into named columns.
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- L{Column}
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A column expression in a :class:`DataFrame`.
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- L{Row}
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A row of data in a :class:`DataFrame`.
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- L{HiveContext}
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Main entry point for accessing data stored in Apache Hive.
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- L{GroupedData}
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Aggregation methods, returned by :func:`DataFrame.groupBy`.
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- L{DataFrameNaFunctions}
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Methods for handling missing data (null values).
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- L{functions}
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List of built-in functions available for :class:`DataFrame`.
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- L{types}
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List of data types available.
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"""
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from pyspark.sql.context import SQLContext, HiveContext
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from pyspark.sql.types import Row
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from pyspark.sql.dataframe import DataFrame, GroupedData, Column, SchemaRDD, DataFrameNaFunctions
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__all__ = [
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'SQLContext', 'HiveContext', 'DataFrame', 'GroupedData', 'Column', 'Row', 'DataFrameNaFunctions'
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]
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