Skip to content

TYP: Replace wildcardimports in toplevelinit as precursor for reshape,stata,io PRs #25936 #25940 #25939 #26019

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
merged 11 commits into from
Apr 10, 2019
Merged

TYP: Replace wildcardimports in toplevelinit as precursor for reshape,stata,io PRs #25936 #25940 #25939 #26019

Changes from all commits
Commits
Show all changes
11 commits
Select commit Hold shift + click to select a range
54482fa
Add explicit imports for stata in top level pandas init
ryankarlos Apr 7, 2019
4721051
Replace wildcard imports with explicit objects
ryankarlos Apr 7, 2019
70f3718
Fix pep8 issue
ryankarlos Apr 7, 2019
ed50a1a
Add dataframe and series imports
ryankarlos Apr 7, 2019
9c1ae38
Importing from api with objects listed
ryankarlos Apr 7, 2019
7aa943b
Adding pandas.io and adding missing pandas core imports
ryankarlos Apr 7, 2019
e50469d
Merge branch 'master' of https://github.com/pandas-dev/pandas into Re…
ryankarlos Apr 9, 2019
2b3afa5
Sorting imports into catgeories and importing pandas.compat.numpy obj…
ryankarlos Apr 9, 2019
b4052a2
Fix pep8
ryankarlos Apr 9, 2019
e21eb72
importing additional objects pandas.compat.numpy
ryankarlos Apr 9, 2019
f519a03
Fix test failures
ryankarlos Apr 10, 2019
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
74 changes: 67 additions & 7 deletions pandas/__init__.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,9 @@
del hard_dependencies, dependency, missing_dependencies

# numpy compat
from pandas.compat.numpy import *
from pandas.compat.numpy import (
_np_version_under1p14, _np_version_under1p15, _np_version_under1p16,
_np_version_under1p17)

try:
from pandas._libs import (hashtable as _hashtable,
Expand All @@ -42,14 +44,72 @@
# let init-time option registration happen
import pandas.core.config_init

from pandas.core.api import *
from pandas.core.sparse.api import *
from pandas.tseries.api import *
from pandas.core.computation.api import *
from pandas.core.reshape.api import *
from pandas.core.api import (
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

can you organize these by section, e.g. something like

from pandas.core.api import (
    # dtype
    Int8Dtype.........

   # indexes
    Int64Index.....

  # tseries
   NaT, Period.....

  # conversion
   to_numeric, to_datetime...

  # missing
   isna, isnul.....

  # misc
  np, TimeGrouper....

# dtype
Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype,
UInt16Dtype, UInt32Dtype, UInt64Dtype, CategoricalDtype,
PeriodDtype, IntervalDtype, DatetimeTZDtype,

# missing
isna, isnull, notna, notnull,

# indexes
Index, CategoricalIndex, Int64Index, UInt64Index, RangeIndex,
Float64Index, MultiIndex, IntervalIndex, TimedeltaIndex,
DatetimeIndex, PeriodIndex, IndexSlice,

# tseries
NaT, Period, period_range, Timedelta, timedelta_range,
Timestamp, date_range, bdate_range, Interval, interval_range,
DateOffset,

# conversion
to_numeric, to_datetime, to_timedelta,

# misc
np, TimeGrouper, Grouper, factorize, unique, value_counts,
array, Categorical, set_eng_float_format, Series, DataFrame,
Panel)

from pandas.core.sparse.api import (
SparseArray, SparseDataFrame, SparseSeries, SparseDtype)

from pandas.tseries.api import infer_freq
from pandas.tseries import offsets

from pandas.core.computation.api import eval

from pandas.core.reshape.api import (
concat, lreshape, melt, wide_to_long, merge, merge_asof,
merge_ordered, crosstab, pivot, pivot_table, get_dummies,
cut, qcut)

from pandas.util._print_versions import show_versions
from pandas.io.api import *

from pandas.io.api import (
# excel
ExcelFile, ExcelWriter, read_excel,

# packers
read_msgpack, to_msgpack,

# parsers
read_csv, read_fwf, read_table,

# pickle
read_pickle, to_pickle,

# pytables
HDFStore, read_hdf,

# sql
read_sql, read_sql_query,
read_sql_table,

# misc
read_clipboard, read_parquet, read_feather, read_gbq,
read_html, read_json, read_stata, read_sas)

from pandas.util._tester import test
import pandas.testing
import pandas.arrays
Expand Down