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pola-rs · Mar 6, 2025 · e4531dd · e4531dd
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diff --git a/py-polars/polars/io/csv/functions.py b/py-polars/polars/io/csv/functions.py
@@ -232,7 +232,7 @@ def read_csv(
     --------
     Calling `read_csv().lazy()` is an antipattern as this forces Polars to materialize
     a full csv file and therefore cannot push any optimizations into the reader.
-    Therefore always prefer `scan_csv` if you want to work with `LazyFrame`s.
+    Therefore always prefer `scan_csv` if you want to work with `LazyFrame` s.
 
     Notes
     -----

diff --git a/py-polars/polars/io/ipc/functions.py b/py-polars/polars/io/ipc/functions.py
@@ -102,7 +102,7 @@ def read_ipc(
     --------
     Calling `read_ipc().lazy()` is an antipattern as this forces Polars to materialize
     a full csv file and therefore cannot push any optimizations into the reader.
-    Therefore always prefer `scan_ipc` if you want to work with `LazyFrame`s.
+    Therefore always prefer `scan_ipc` if you want to work with `LazyFrame` s.
 
     If `memory_map` is set, the bytes on disk are mapped 1:1 to memory.
     That means that you cannot write to the same filename.

diff --git a/py-polars/polars/io/ndjson.py b/py-polars/polars/io/ndjson.py
@@ -126,7 +126,7 @@ def read_ndjson(
     Calling `read_ndjson().lazy()` is an antipattern as this forces Polars to
     materialize a full ndjson file and therefore cannot push any optimizations into
     the reader. Therefore always prefer `scan_ndjson` if you want to work with
-    `LazyFrame`s.
+    `LazyFrame` s.
 
     Examples
     --------

diff --git a/py-polars/polars/io/parquet/functions.py b/py-polars/polars/io/parquet/functions.py
@@ -183,7 +183,7 @@ def read_parquet(
     Calling `read_parquet().lazy()` is an antipattern as this forces Polars to
     materialize a full parquet file and therefore cannot push any optimizations
     into the reader. Therefore always prefer `scan_parquet` if you want to work
-    with `LazyFrame`s.
+    with `LazyFrame` s.
 
     """
     if schema is not None: