# Character-Separated Values

Reading a CSV file should look familiar:

df = pl.read_csv("path.csv")


CSV files come in many different flavors, so make sure to check the read_csv() API.

Writing to a CSV file can be done with the write_csv() method.

df = pl.DataFrame({"foo": [1, 2, 3], "bar": [None, "bak", "baz"]})
df.write_csv("path.csv")


## Scan

Polars allows you to scan a CSV input. Scanning delays the actual parsing of the file and instead returns a lazy computation holder called a LazyFrame.

df = pl.scan_csv("path.csv")


If you want to know why this is desirable, you can read more about those Polars optimizations here.

The following video shows how to efficiently load CSV files with Polars and how the built-in query optimization makes this much faster.