Skip to content

[DataFrame] Add direct pandas imports for MVP #1960

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
devin-petersohn merged 2 commits into from
May 9, 2018
Merged

[DataFrame] Add direct pandas imports for MVP #1960

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
996074b
Add direct pandas imports for MVP
kunalgosar Apr 28, 2018
1b2168a
rebase artifact
kunalgosar May 8, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
18 changes: 12 additions & 6 deletions python/ray/dataframe/__init__.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,9 +3,13 @@
from __future__ import print_function

import pandas as pd
from pandas import (eval, MultiIndex, CategoricalIndex, Series, Panel, unique,
value_counts, date_range, Timedelta, Timestamp,
to_datetime, NaT)
# TODO: In the future `set_option` or similar needs to run on every node
# in order to keep all pandas instances across nodes consistent
from pandas import (eval, unique, value_counts, cut, to_numeric, factorize,
test, qcut, match, Panel, date_range, Index, MultiIndex,
CategoricalIndex, Series, bdate_range, DatetimeIndex,
Timedelta, Timestamp, to_timedelta, set_eng_float_format,
set_option, NaT)
import threading

pd_version = pd.__version__
Expand Down Expand Up @@ -41,9 +45,11 @@ def get_npartitions():

__all__ = [
"DataFrame", "Series", "read_csv", "read_parquet", "concat", "eval",
"Panel", "unique", "get_dummies", "value_counts", "MultiIndex",
"CategoricalIndex", "Timedelta", "Timestamp", "date_range", "to_datetime",
"NaT"
"unique", "value_counts", "cut", "to_numeric", "factorize", "test", "qcut",
"match", "to_datetime", "get_dummies", "Panel", "date_range", "Index",
"MultiIndex", "Series", "bdate_range", "DatetimeIndex", "to_timedelta",
"set_eng_float_format", "set_option", "CategoricalIndex", "Timedelta",
"Timestamp", "NaT"
]

try:
Expand Down