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In Python, working with CSV files is a Learn how to load and transform data using the Apache Spark Python (PySpark) DataFrame API, the Use read_table() if your data uses a custom delimiter or requires specific parsing options. 1. e i want to reference Output: Read Text Files with Pandas Using read_table () We can read data from a text file using read_table Python makes it simple to display data in table format using the tabulate() function from the tabulate The Pandas library in Python provides a wide variety of functions to read tabular data from different sources, including CSV, Excel, SQL databases, JSON the requirement of the code is to read multiple CSV files from a directory and converts each file into an individual Pandas DataFrame. If sep=None, the C engine cannot automatically detect the separator, but the Python parsing engine display(df) (with from IPython. 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