danepitkin commented on code in PR #34980:
URL: https://github.com/apache/arrow/pull/34980#discussion_r1165908655
##########
python/pyarrow/table.pxi:
##########
@@ -1450,8 +1450,76 @@ cdef _sanitize_arrays(arrays, names, schema, metadata,
converted_arrays.append(item)
return converted_arrays
+cdef class _Table(_PandasConvertible):
+ """Internal: An interface for common table operations."""
-cdef class RecordBatch(_PandasConvertible):
+ def __init__(self):
+ raise TypeError("This object is not instantiable, "
+ "use a subclass instead.")
+
+ def drop_null(self):
+ """
+ Remove missing values from a Table.
+ See :func:`pyarrow.compute.drop_null` for full usage.
+
+ Examples
+ --------
+ >>> import pyarrow as pa
+ >>> import pandas as pd
+ >>> df = pd.DataFrame({'year': [None, 2022, 2019, 2021],
+ ... 'n_legs': [2, 4, 5, 100],
+ ... 'animals': ["Flamingo", "Horse", None,
"Centipede"]})
+ >>> table = pa.Table.from_pandas(df)
+ >>> table.drop_null()
+ pyarrow.Table
+ year: double
+ n_legs: int64
+ animals: string
+ ----
+ year: [[2022,2021]]
+ n_legs: [[4,100]]
+ animals: [["Horse","Centipede"]]
+ """
+ return _pc().drop_null(self)
+
+ def take(self, object indices):
+ """
+ Select rows from the table.
Review Comment:
Updated!
##########
python/pyarrow/table.pxi:
##########
@@ -1450,8 +1450,76 @@ cdef _sanitize_arrays(arrays, names, schema, metadata,
converted_arrays.append(item)
return converted_arrays
+cdef class _Table(_PandasConvertible):
+ """Internal: An interface for common table operations."""
-cdef class RecordBatch(_PandasConvertible):
+ def __init__(self):
+ raise TypeError("This object is not instantiable, "
+ "use a subclass instead.")
+
+ def drop_null(self):
+ """
+ Remove missing values from a Table.
+ See :func:`pyarrow.compute.drop_null` for full usage.
+
+ Examples
+ --------
+ >>> import pyarrow as pa
+ >>> import pandas as pd
+ >>> df = pd.DataFrame({'year': [None, 2022, 2019, 2021],
+ ... 'n_legs': [2, 4, 5, 100],
+ ... 'animals': ["Flamingo", "Horse", None,
"Centipede"]})
+ >>> table = pa.Table.from_pandas(df)
+ >>> table.drop_null()
+ pyarrow.Table
+ year: double
+ n_legs: int64
+ animals: string
+ ----
+ year: [[2022,2021]]
+ n_legs: [[4,100]]
+ animals: [["Horse","Centipede"]]
+ """
+ return _pc().drop_null(self)
+
+ def take(self, object indices):
+ """
+ Select rows from the table.
+
+ See :func:`pyarrow.compute.take` for full usage.
+
+ Parameters
+ ----------
+ indices : Array or array-like
+ The indices in the table whose rows will be returned.
+
+ Returns
+ -------
+ taken : Table
Review Comment:
Updated!
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