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Here we look at some ways to interchangeably work with Python, PySpark and SQL. We learn how to import in data from a CSV file by uploading it first and then choosing to create it in a notebook. We learn how to convert an SQL table to a Spark Dataframe and convert a Spark Dataframe to a Python Pandas Dataframe. Once DataFrame is loaded into Spark (as air_quality_sdf here), can be manipulated easily using PySpark DataFrame API: air_quality_sdf. select ('date', 'NOx').show(5) Output should look like this:
The bs4/doc/ directory contains full documentation in Sphinx format. Run make html in that directory to create HTML documentation. Running the unit tests. Beautiful Soup supports unit test discovery from the project root directory: $ nosetests $ python -m unittest discover -s bs4 SparkSession, as explained in Create Spark DataFrame From Python Objects in pyspark, provides convenient method createDataFrame for creating Spark DataFrames. The method accepts following...
Nov 16, 2018 · Try by using this code for changing dataframe column names in pyspark. df = df.withColumnRenamed("colName", "newColName") .withColumnRenamed("colName2", "newColName2") The benefit of using this method. In long list of columns we would like to change only few column names.