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Is that possible to
convert from to pd.DataFrame
under %pyspark environment ?
545
Spark provides a createDataFrame(pandas_dataframe) method to convert pandas to Spark DataFrame, Spark by default infers the schema based on the pandas data types to PySpark data types. If you want all data types to String use spark. createDataFrame(pandasDF. astype(str)) .
pandas-on-Spark DataFrame and pandas DataFrame are similar. However, the former is distributed and the latter is in a single machine. When converting to each other, the data is transferred between multiple machines and the single client machine.
Converting Spark RDD to DataFrame can be done using toDF(), createDataFrame() and transforming rdd[Row] to the data frame.
Try:
spark_df.toPandas()
toPandas()
Returns the contents of this DataFrame as Pandas pandas.DataFrame. This is only available if Pandas is installed and available.
And if you want the oposite:
spark_df = createDataFrame(pandas_df)
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