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I create a pyspark dataframe and i want to see it in the SciView tab in PyCharm when i debug my code (like I used to do when i have worked with pandas). It says "Nothing to show" (the dataframe exists, I can see it when I use the show() command).
someone knows how to do it or maybe there is no integration between pycharm and pyspark dataframe in this case?
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In the Variables tab of the Debug tool window, select an array or a DataFrame. Click a link View as Array/View as DataFrame to the right. Alternatively, you can choose View as Array or View as DataFrame from the context menu.
You can visualize a Spark dataframe in Jupyter notebooks by using the display(<dataframe-name>) function. The display() function is supported only on PySpark kernels. The Qviz framework supports 1000 rows and 100 columns. By default, the dataframe is visualized as a table.
To be able to run PySpark in PyCharm, you need to go into “Preferences” and “Project Structure” to “add Content Root”, where you specify the location of the python executable of apache-spark. Press “Apply” and “OK” after you are done. should be able to run within the PyCharm console.
PySpark users can access the full PySpark APIs by calling DataFrame. to_spark() . pandas-on-Spark DataFrame and Spark DataFrame are virtually interchangeable. However, note that a new default index is created when pandas-on-Spark DataFrame is created from Spark DataFrame.
Pycharm does not support spark dataframes, you should call the toPandas() method on the dataframe. As @abhiieor mentioned in a comment, be aware that you can potentially collect a lot of data, you should first limit() the number of rows returned.
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