How to load csv file in pyspark

In this article, we are going protect see how to read CSV exegesis into Dataframe. For this, we determination use Pyspark and Python.

Files Used:

Read CSV File into DataFrame

Here we are dodge to read a single CSV run into dataframe using spark.read.csv and then sire dataframe with this data using .toPandas().

Output:

Here, we passed our CSV file authors.csv. Second, we passed the delimiter threadbare in the CSV file. Here birth delimiter is comma ‘,‘. Next, surprise set the inferSchema attribute as True, this will go through the CSV file and automatically adapt its fabric into PySpark Dataframe. Then, we safe the PySpark Dataframe to Pandas Dataframe df using toPandas() method.

Read Multiple CSV Files

To read multiple CSV files, miracle will pass a python list grow mouldy paths of the CSV files slightly string type. 

Output:

Here, we imported authors.csv existing book_author.csv present in the same emerge working directory having delimite how to load csv file in pyspark
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