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typos in comments and docs #1761

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merged 3 commits into from
Nov 11, 2022
Merged

typos in comments and docs #1761

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d9b5609
typos in comments and docs
mycaule Nov 10, 2022
dc68bdf
noqa: E501 for docstring
mycaule Nov 10, 2022
6b10c15
use python REPL style multiline
mycaule Nov 10, 2022
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6 changes: 3 additions & 3 deletions awswrangler/s3/_read_parquet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -708,14 +708,14 @@ def read_parquet(
Reading in chunks (Chunk by file)

>>> import awswrangler as wr
>>> dfs = wr.s3.read_parquet(path=['s3://bucket/filename0.csv', 's3://bucket/filename1.csv'], chunked=True)
>>> dfs = wr.s3.read_parquet(path=['s3://bucket/filename0.parquet', 's3://bucket/filename1.parquet'], chunked=True)
>>> for df in dfs:
>>> print(df) # Smaller Pandas DataFrame

Reading in chunks (Chunk by 1MM rows)

>>> import awswrangler as wr
>>> dfs = wr.s3.read_parquet(path=['s3://bucket/filename0.csv', 's3://bucket/filename1.csv'], chunked=1_000_000)
>>> dfs = wr.s3.read_parquet(path=['s3://bucket/filename0.parquet', 's3://bucket/filename1.parquet'], chunked=1_000_000)
>>> for df in dfs:
>>> print(df) # 1MM Pandas DataFrame

Expand Down Expand Up @@ -849,7 +849,7 @@ def read_parquet_table(
Suffix or List of suffixes to be read (e.g. [".gz.parquet", ".snappy.parquet"]).
If None, will try to read all files. (default)
filename_ignore_suffix: Union[str, List[str], None]
Suffix or List of suffixes for S3 keys to be ignored.(e.g. [".csv", "_SUCCESS"]).
Suffix or List of suffixes for S3 keys to be ignored.(e.g. [".parquet", "_SUCCESS"]).
If None, will try to read all files. (default)
catalog_id : str, optional
The ID of the Data Catalog from which to retrieve Databases.
Expand Down