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export h2o.shallow_copy #16589

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export h2o.shallow_copy #16589

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2 changes: 1 addition & 1 deletion h2o-py/h2o/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@

from h2o.h2o import (connect, init, api, connection, resume,
lazy_import, upload_file, import_file, import_sql_table, import_sql_select, import_hive_table,
parse_setup, parse_raw, assign, deep_copy, models, get_model, get_grid, get_frame,
parse_setup, parse_raw, assign, deep_copy, shallow_copy, models, get_model, get_grid, get_frame,
show_progress, no_progress, enable_expr_optimizations, is_expr_optimizations_enabled,
log_and_echo, remove, remove_all, rapids,
ls, frame, frames, create_frame, load_frame,
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2 changes: 1 addition & 1 deletion h2o-py/h2o/frame.py
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Expand Up @@ -104,7 +104,7 @@ def __init__(self, python_obj=None, destination_frame=None, header=0, separator=

self._is_frame = True # Indicate that this is an actual frame, allowing typechecks to be made
if isinstance(python_obj, H2OFrame):
sc = h2o.h2o.shallow_copy(python_obj, destination_frame)
sc = h2o.shallow_copy(python_obj, destination_frame)
if skipped_columns:
sc = sc.drop(skipped_columns)
if column_names:
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16 changes: 15 additions & 1 deletion h2o-py/h2o/h2o.py
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Expand Up @@ -1053,7 +1053,21 @@ def deep_copy(data, xid):
assign(duplicate, xid)
return duplicate

def shallow_copy(data, xid):
def shallow_copy(data, xid=None):
"""
Create a shallow clone of the frame ``data``.

:param data: an H2OFrame to be cloned
:param xid: (internal) id to be assigned to the new frame.
:returns: new :class:`H2OFrame` which is the clone of the passed frame.

:examples:

>>> training_data = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/prostate/prostate.csv.zip")
>>> new_name = "new_frame"
>>> training_copy = h2o.shallow_copy(training_data, new_name)
>>> training_copy
"""
assert_is_type(data, H2OFrame)
assert_is_type(xid, None, str)
duplicate = H2OFrame._expr(expr=ExprNode("cols_py", data, slice(data.ncols)))
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