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FEAT-#2606: Support creating DataFrame from remote partitions #2613

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merged 7 commits into from
Jan 28, 2021
Merged

FEAT-#2606: Support creating DataFrame from remote partitions #2613

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0ec20aa
FEAT-#2606: Support creating DataFrame from remote partitions
YarShev Jan 14, 2021
8f44cbf
FEAT-#2606: Use `factory` parameter instead of `engine`
YarShev Jan 18, 2021
b920435
FEAT-#2606: Remove `factory` parameter
YarShev Jan 18, 2021
9e90602
FEAT-#2606: Add tests; Address comments
YarShev Jan 20, 2021
49e0fb2
FEAT-#2606: Add suggested comments
YarShev Jan 21, 2021
b89f54c
FEAT-#2606: Move the functions to another location; Add comments
YarShev Jan 25, 2021
954cbe4
FIX-#2606: Apply suggestion related to new location
YarShev Jan 26, 2021
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3 changes: 3 additions & 0 deletions modin/api/partition_api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -113,6 +113,7 @@ def create_df_from_partitions(partitions, axis):
partition_frame_class = factory.io_cls.frame_cls
partition_mgr_class = factory.io_cls.frame_cls._frame_mgr_cls

# When collecting partitions to NumPy array they will be kept row-wise
if axis is None:
if isinstance(partitions[0][0], tuple):
parts = np.array(
Expand All @@ -128,13 +129,15 @@ def create_df_from_partitions(partitions, axis):
for row in partitions
]
)
# When collecting partitions to NumPy array they will be kept row-wise
elif axis == 0:
if isinstance(partitions[0], tuple):
parts = np.array(
[[partition_class(partition, ip=ip)] for ip, partition in partitions]
)
else:
parts = np.array([[partition_class(partition)] for partition in partitions])
# When collecting partitions to NumPy array they will be kept column-wise
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elif axis == 1:
if isinstance(partitions[0], tuple):
parts = np.array(
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