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

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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

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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
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40 changes: 34 additions & 6 deletions pandas/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,14 +42,42 @@
# 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 (
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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....

Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype,
UInt16Dtype, UInt32Dtype, UInt64Dtype, factorize, unique,
value_counts, isna, isnull, notna, notnull, CategoricalDtype,
PeriodDtype, IntervalDtype, DatetimeTZDtype, Categorical,
array, Grouper, set_eng_float_format, Index, CategoricalIndex,
Int64Index, UInt64Index, RangeIndex, Float64Index, MultiIndex,
IntervalIndex, TimedeltaIndex, DatetimeIndex, PeriodIndex,
NaT, Period, period_range, Timedelta, timedelta_range,
Timestamp, date_range, bdate_range, Interval, interval_range,
Series, DataFrame, Panel, IndexSlice, to_numeric, DateOffset,
to_datetime, to_timedelta, np, TimeGrouper)

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 (
read_clipboard, ExcelFile, ExcelWriter, read_excel,
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can you sort these

read_feather, read_gbq, read_html, read_json,
read_msgpack, to_msgpack, read_parquet, read_csv,
read_fwf, read_table, read_pickle, to_pickle,
HDFStore, read_hdf, read_sas, read_sql, read_sql_query,
read_sql_table, read_stata)

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