import pyspark def sparkShape( dataFrame): return ( dataFrame. count (), len ( dataFrame. columns)) pyspark. sql. dataframe. DataFrame. shape = sparkShape print( sparkDF. shape ()) If you have a small dataset, you can Convert PySpark DataFrame to Pandas and call the shape that returns a tuple with DataFrame rows & columns count.
Updated. In this example, we will read a shapefile as a Spark DataFrame. For this example we'll use The Nature Conservancy's Terrestrial Ecoregions spatial data layer. In [1]: from earthai.init import * import requests import zipfile import os. Out [1]:
Similar to Python Pandas you can get the Size and Shape of the PySpark (Spark with Python) DataFrame by running count() action to get the number of rows on ...
Python answers related to “pyspark print dataframe shape”. pyspark show all values · df.shape 0 · pandas shape · pyspark lit column · can we pickle pyspark ...
Add this to the your code: import pyspark def spark_shape (self): return (self.count (), len (self.columns)) pyspark.sql.dataframe.DataFrame.shape = spark_shape. Then you can do. >>> df.shape () (10000, 10) But just remind you that .count () can be very slow for very large table that has not been persisted. Share.
Get Size and Shape of the dataframe: In order to get the number of rows and number of column in pyspark we will be using functions like count() function and ...