Skip to content

Commit 9c1ae38

Browse files
committed
Importing from api with objects listed
1 parent ed50a1a commit 9c1ae38

File tree

1 file changed

+26
-48
lines changed

1 file changed

+26
-48
lines changed

pandas/__init__.py

Lines changed: 26 additions & 48 deletions
Original file line numberDiff line numberDiff line change
@@ -42,57 +42,35 @@
4242
# let init-time option registration happen
4343
import pandas.core.config_init
4444

45-
from pandas.core.frame import DataFrame
46-
from pandas.core.series import Series
47-
from pandas.core.panel import Panel
48-
from pandas.core.arrays.sparse import SparseArray, SparseDtype
49-
from pandas.core.sparse.frame import SparseDataFrame
50-
from pandas.core.sparse.series import SparseSeries
51-
from pandas.core.computation.eval import eval
52-
from pandas.core.reshape.concat import concat
53-
from pandas.core.reshape.melt import lreshape, melt, wide_to_long
54-
from pandas.core.reshape.merge import merge, merge_asof, merge_ordered
55-
from pandas.core.reshape.pivot import crosstab, pivot, pivot_table
56-
from pandas.core.reshape.reshape import get_dummies
57-
from pandas.core.reshape.tile import cut, qcut
58-
from pandas.core.internals import BlockManager, _safe_reshape, make_block
5945

60-
from pandas.core.index import (
61-
Float64Index, Index, DatetimeIndex, Int64Index, MultiIndex,
62-
PeriodIndex, RangeIndex, TimedeltaIndex, CategoricalIndex)
46+
from pandas.core.api import (
47+
DataFrame, Series, array, Panel, Int64Index, Interval,
48+
IntervalIndex, Float64Index, Index, DatetimeIndex, Int64Index,
49+
MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex,
50+
CategoricalIndex, Categorical, to_datetime, to_timedelta,
51+
to_numeric, Timedelta, Timestamp, NaT, Period, isna,
52+
CategoricalDtype, PeriodDtype, DatetimeTZDtype, IntervalDtype,
53+
DateOffset, factorize, unique, value_counts, interval_range,
54+
Grouper)
55+
56+
from pandas.tseries.api import infer_freq
57+
from pandas.tseries import offsets
58+
59+
from pandas.core.reshape.api import (
60+
concat, lreshape, melt, wide_to_long, merge, merge_asof,
61+
merge_ordered, crosstab, pivot, pivot_table, get_dummies,
62+
cut, qcut)
63+
64+
from pandas.core.computation.api import eval
65+
66+
from pandas.core.sparse.api import (
67+
SparseArray, SparseDataFrame, SparseSeries, SparseDtype)
68+
69+
from pandas.core.internals import BlockManager, _safe_reshape, make_block
6370
from pandas.core.arrays import DatetimeArray, IntervalArray, PeriodArray
6471
from pandas.core.arrays.sparse import BlockIndex, IntIndex
65-
from pandas.core.arrays.categorical import Categorical
66-
from pandas.core.arrays.interval import Interval
67-
from pandas.core.indexes.interval import IntervalIndex
68-
from pandas.core.indexes.datetimes import DatetimeIndex
69-
from pandas.core.missing import isna
70-
from pandas.core.tools.datetimes import to_datetime
71-
from pandas.core.tools.timedeltas import to_timedelta
72-
from pandas._libs.tslibs.timedeltas import Timedelta
73-
from pandas._libs.tslibs.timestamps import Timestamp
74-
from pandas._libs import NaT, Period, join
75-
from pandas.io.clipboards import read_clipboard
76-
from pandas.io.excel import ExcelFile, ExcelWriter, read_excel
77-
from pandas.io.feather_format import read_feather
78-
from pandas.io.gbq import read_gbq
79-
from pandas.io.html import read_html
80-
from pandas.io.json import read_json
81-
from pandas.io.packers import read_msgpack, to_msgpack
82-
from pandas.io.parquet import read_parquet
83-
from pandas.io.parsers import read_csv, read_fwf, read_table
84-
from pandas.io.pickle import read_pickle, to_pickle
85-
from pandas.io.pytables import HDFStore, read_hdf
86-
from pandas.io.sas import read_sas
87-
from pandas.io.sql import read_sql, read_sql_query, read_sql_table
88-
from pandas.io.stata import read_stata
89-
from pandas.io.msgpack import ExtType, Packer as _Packer, Unpacker as _Unpacker
90-
from pandas.io.formats.printing import pprint_thing
91-
from pandas.io.parsers import TextParser
92-
from pandas.io.common import _stringify_path, get_filepath_or_buffer, is_s3_url
93-
94-
from pandas.tseries.frequencies import infer_freq
95-
from pandas.tseries import offsets
72+
73+
from pandas._libs import join
9674

9775
from pandas.util._print_versions import show_versions
9876
from pandas.util._tester import test

0 commit comments

Comments
 (0)