AlenkaF commented on code in PR #12704:
URL: https://github.com/apache/arrow/pull/12704#discussion_r841540156
##########
python/pyarrow/parquet.py:
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@@ -2128,6 +2938,46 @@ def write_table(table, where, row_group_size=None,
version='1.0',
raise
+_write_table_example = """\
+Generate an example PyArrow Table:
+
+>>> import pyarrow as pa
+>>> import pandas as pd
+>>> df = pd.DataFrame({'year': [2020, 2022, 2021, 2022, 2019, 2021],
+... 'month': [3, 5, 7, 9, 11, 12],
+... 'day': [1, 5, 9, 13, 17, 23],
+... 'n_legs': [2, 2, 4, 4, 5, 100],
+... 'animals': ["Flamingo", "Parrot", "Dog", "Horse",
+... "Brittle stars", "Centipede"]})
+>>> table = pa.Table.from_pandas(df)
+
+and write the Table into Parquet file:
+
+>>> import pyarrow.parquet as pq
+>>> pq.write_table(table, 'example.parquet')
+
+Defining row group size for the Parquet file:
+
+>>> pq.write_table(table, 'example.parquet', row_group_size=3)
+
+Defining row group compression (default is Snappy):
+
+>>> pq.write_table(table, 'example.parquet', compression='none')
+
+Defining row group compression and encoding per-column:
+
+>>> pq.write_table(table, 'example.parquet',
+... compression={'foo': 'snappy', 'bar': 'gzip'},
+... use_dictionary=['foo', 'bar'])
Review Comment:
Oh, my bad. Yes I will correct, thanks!
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