application_vnd.jupyter.stderr_output_2.png text_plain_output_1.png
from pyspark.sql import SparkSession

spark = SparkSession.builder.appName('SparkByExamples.com').getOrCreate()

df = spark.read.csv('/kaggle/input/students-exam-scores/Original_data_with_more_rows.csv', header=True)

df_1 = spark.read.csv('/kaggle/input/students-exam-scores/Expanded_data_with_more_features.csv', header=True)
df_1.show()
column_names = df_1.columns
print(column_names)