rename libs -> _libs

Author: jreback

Makefile

@@ -1,4 +1,4 @@
-tseries: pandas/libs/lib.pyx pandas/libs/tslib.pyx pandas/libs/hashtable.pyx
+tseries: pandas/_libs/lib.pyx pandas/_libs/tslib.pyx pandas/_libs/hashtable.pyx
 	python setup.py build_ext --inplace
 
 .PHONY : develop build clean clean_pyc tseries doc

asv_bench/benchmarks/pandas_vb_common.py

@@ -18,7 +18,7 @@
 np.random.seed(1234)
 
 # try em until it works!
-for imp in ['pandas_tseries', 'pandas.lib', 'pandas.libs.lib']:
+for imp in ['pandas_tseries', 'pandas.lib', 'pandas._libs.lib']:
     try:
         lib = import_module(imp)
         break

doc/source/whatsnew/v0.20.0.txt

@@ -460,21 +460,21 @@ If indicated, a deprecation warning will be issued if you reference that module.
     :header: "Previous Location", "New Location", "Deprecated"
     :widths: 30, 30, 4
 
+    "pandas.lib", "pandas._libs.lib", "X"
+    "pandas.tslib", "pandas._libs.tslib", "X"
+    "pandas._join", "pandas._libs.join", ""
+    "pandas._period", "pandas._libs.period", ""
+    "pandas.msgpack", "pandas.io.msgpack", ""
+    "pandas.index", "pandas._libs.index", ""
+    "pandas.algos", "pandas._libs.algos", ""
+    "pandas.hashtable", "pandas._libs.hashtable", ""
     "pandas.json", "pandas.io.json.libjson", "X"
     "pandas.parser", "pandas.io.libparsers", "X"
-    "pandas.lib", "pandas.libs.lib", "X"
-    "pandas.tslib", "pandas.libs.tslib", "X"
     "pandas.io.sas.saslib", "pandas.io.sas.libsas", ""
-    "pandas.msgpack", "pandas.io.msgpack", ""
-    "pandas.index", "pandas.libs.index", ""
-    "pandas.algos", "pandas.libs.algos", ""
-    "pandas.hashtable", "pandas.libs.hashtable", ""
     "pandas._testing", "pandas.util.libtesting", ""
     "pandas._sparse", "pandas.sparse.libsparse", ""
     "pandas._hash", "pandas.tools.libhash", ""
     "pandas._window", "pandas.core.libwindow", ""
-    "pandas._join", "pandas.libs.join", ""
-    "pandas._period", "pandas.libs.period", ""
 
 
 .. _whatsnew_0200.api_breaking.groupby_describe:

pandas/__init__.py

@@ -23,7 +23,7 @@
 from pandas.compat.numpy import *
 
 try:
-    from pandas.libs import (hashtable as _hashtable,
+    from pandas._libs import (hashtable as _hashtable,
                              lib as _lib,
                              tslib as _tslib)
 except ImportError as e:  # pragma: no cover
@@ -62,8 +62,8 @@
 
 json = _DeprecatedModule(deprmod='pandas.json', deprmodto='pandas.io.json.libjson')
 parser = _DeprecatedModule(deprmod='pandas.parser', deprmodto='pandas.io.libparsers')
-lib = _DeprecatedModule(deprmod='pandas.lib', deprmodto='pandas.libs.lib')
-tslib = _DeprecatedModule(deprmod='pandas.tslib', deprmodto='pandas.libs.tslib')
+lib = _DeprecatedModule(deprmod='pandas.lib', deprmodto='pandas._libs.lib')
+tslib = _DeprecatedModule(deprmod='pandas.tslib', deprmodto='pandas._libs.tslib')
 
 # use the closest tagged version if possible
 from ._version import get_versions

pandas/libs/__init__.py renamed to pandas/_libs/__init__.py

@@ -46,7 +46,7 @@ from util cimport numeric, get_nat
 
 cimport lib
 from lib cimport is_null_datetimelike
-from pandas.libs import lib
+from pandas._libs import lib
 
 cdef int64_t iNaT = get_nat()
 

pandas/libs/algos.pyx renamed to pandas/_libs/algos.pyx

@@ -433,7 +433,7 @@ def arrmap_{{name}}(ndarray[{{c_type}}] index, object func):
 
     cdef ndarray[object] result = np.empty(length, dtype=np.object_)
 
-    from pandas.libs.lib import maybe_convert_objects
+    from pandas._libs.lib import maybe_convert_objects
 
     for i in range(length):
         result[i] = func(index[i])

pandas/libs/algos_common_helper.pxi.in renamed to pandas/_libs/algos_common_helper.pxi.in

@@ -22,7 +22,7 @@ cdef extern from "numpy/npy_math.h":
 cimport cython
 cimport numpy as cnp
 
-from pandas.libs.lib import checknull
+from pandas._libs.lib import checknull
 
 cnp.import_array()
 cnp.import_ufunc()

pandas/libs/algos_groupby_helper.pxi.in renamed to pandas/_libs/algos_groupby_helper.pxi.in

@@ -17,8 +17,8 @@ import numpy as np
 
 cimport tslib
 from hashtable cimport *
-from pandas.libs import tslib, algos, hashtable as _hash
-from pandas.libs.tslib import Timestamp, Timedelta
+from pandas._libs import tslib, algos, hashtable as _hash
+from pandas._libs.tslib import Timestamp, Timedelta
 
 from datetime cimport (get_datetime64_value, _pydatetime_to_dts,
                        pandas_datetimestruct)

pandas/libs/algos_rank_helper.pxi.in renamed to pandas/_libs/algos_rank_helper.pxi.in

@@ -32,7 +32,7 @@ float64 = np.dtype(np.float64)
 cdef double NaN = <double> np.NaN
 cdef double nan = NaN
 
-from pandas.libs.algos import groupsort_indexer, ensure_platform_int
+from pandas._libs.algos import groupsort_indexer, ensure_platform_int
 from pandas.core.algorithms import take_nd
 
 include "join_func_helper.pxi"

pandas/libs/algos_take_helper.pxi.in renamed to pandas/_libs/algos_take_helper.pxi.in

@@ -22,9 +22,9 @@ cimport cython
 from datetime cimport *
 cimport util, lib
 from lib cimport is_null_datetimelike, is_period
-from pandas.libs import tslib, lib
-from pandas.libs.tslib import (Timedelta, Timestamp, iNaT,
-                               NaT, have_pytz, _get_utcoffset)
+from pandas._libs import tslib, lib
+from pandas._libs.tslib import (Timedelta, Timestamp, iNaT,
+                                NaT, have_pytz, _get_utcoffset)
 from tslib cimport (
     maybe_get_tz,
     _is_utc,

pandas/libs/hashtable.pxd renamed to pandas/_libs/hashtable.pxd

@@ -180,7 +180,7 @@ void initObjToJSON(void)
         Py_DECREF(mod_pandas);
     }
 
-    mod_tslib = PyImport_ImportModule("pandas.libs.tslib");
+    mod_tslib = PyImport_ImportModule("pandas._libs.tslib");
     if (mod_tslib) {
         cls_nat = (PyTypeObject *)PyObject_GetAttrString(mod_tslib, "NaTType");
         Py_DECREF(mod_tslib);

pandas/libs/hashtable.pyx renamed to pandas/_libs/hashtable.pyx

@@ -65,9 +65,9 @@ def load_reduce(self):
 
     # 12588, extensions moving
     ('pandas._sparse', 'BlockIndex'): ('pandas.sparse.libsparse', 'BlockIndex'),
-    ('pandas.tslib', 'Timestamp'): ('pandas.libs.tslib', 'Timestamp'),
-    ('pandas.tslib', '__nat_unpickle'): ('pandas.libs.tslib', '__nat_unpickle'),
-    ('pandas._period', 'Period'): ('pandas.libs.period', 'Period')
+    ('pandas.tslib', 'Timestamp'): ('pandas._libs.tslib', 'Timestamp'),
+    ('pandas.tslib', '__nat_unpickle'): ('pandas._libs.tslib', '__nat_unpickle'),
+    ('pandas._period', 'Period'): ('pandas._libs.period', 'Period')
     }
 
 

pandas/libs/hashtable_class_helper.pxi.in renamed to pandas/_libs/hashtable_class_helper.pxi.in

@@ -1,4 +1,5 @@
-"""Module for scope operations
+"""
+Module for scope operations
 """
 
 import sys
@@ -10,7 +11,8 @@
 
 import numpy as np
 
-import pandas as pd
+import pandas
+import pandas as pd  # noqa
 from pandas.compat import DeepChainMap, map, StringIO
 from pandas.core.base import StringMixin
 import pandas.computation as compu
@@ -46,7 +48,7 @@ def _raw_hex_id(obj):
 
 
 _DEFAULT_GLOBALS = {
-    'Timestamp': pd.libs.lib.Timestamp,
+    'Timestamp': pandas._libs.lib.Timestamp,
     'datetime': datetime.datetime,
     'True': True,
     'False': False,

pandas/libs/hashtable_func_helper.pxi.in renamed to pandas/_libs/hashtable_func_helper.pxi.in

@@ -35,8 +35,8 @@
 
 import pandas.core.common as com
 from pandas.compat import string_types
-from pandas.libs import algos, lib, hashtable as htable
-from pandas.libs.tslib import iNaT
+from pandas._libs import algos, lib, hashtable as htable
+from pandas._libs.tslib import iNaT
 
 
 # --------------- #

pandas/libs/index.pyx renamed to pandas/_libs/index.pyx

@@ -12,7 +12,7 @@
 
 from pandas.core import common as com
 import pandas.core.nanops as nanops
-import pandas.libs.lib as lib
+import pandas._libs.lib as lib
 from pandas.compat.numpy import function as nv
 from pandas.util.decorators import (Appender, cache_readonly,
                                     deprecate_kwarg, Substitution)

pandas/libs/index_class_helper.pxi.in renamed to pandas/_libs/index_class_helper.pxi.in

@@ -6,7 +6,7 @@
 
 from pandas import compat
 from pandas.compat import u, lzip
-from pandas.libs import lib, algos as libalgos
+from pandas._libs import lib, algos as libalgos
 
 from pandas.types.generic import ABCSeries, ABCIndexClass, ABCCategoricalIndex
 from pandas.types.missing import isnull, notnull
@@ -1897,7 +1897,7 @@ def mode(self):
         modes : `Categorical` (sorted)
         """
 
-        import pandas.libs.hashtable as htable
+        import pandas._libs.hashtable as htable
         good = self._codes != -1
         values = sorted(htable.mode_int64(_ensure_int64(self._codes[good])))
         result = self._constructor(values=values, categories=self.categories,

pandas/libs/join.pyx renamed to pandas/_libs/join.pyx

@@ -8,7 +8,7 @@
 from functools import partial
 
 import numpy as np
-from pandas.libs import lib, tslib
+from pandas._libs import lib, tslib
 
 from pandas import compat
 from pandas.compat import long, zip, iteritems

pandas/libs/join_func_helper.pxi.in renamed to pandas/_libs/join_func_helper.pxi.in

@@ -93,7 +93,7 @@
 from pandas.formats.printing import pprint_thing
 import pandas.tools.plotting as gfx
 
-from pandas.libs import lib, algos as libalgos
+from pandas._libs import lib, algos as libalgos
 
 from pandas.core.config import get_option
 
@@ -3191,7 +3191,7 @@ def duplicated(self, subset=None, keep='first'):
         duplicated : Series
         """
         from pandas.core.sorting import get_group_index
-        from pandas.libs.hashtable import duplicated_int64, _SIZE_HINT_LIMIT
+        from pandas._libs.hashtable import duplicated_int64, _SIZE_HINT_LIMIT
 
         def f(vals):
             labels, shape = algorithms.factorize(

pandas/libs/join_helper.pxi.in renamed to pandas/_libs/join_helper.pxi.in

@@ -8,7 +8,7 @@
 import numpy as np
 import pandas as pd
 
-from pandas.libs import tslib, lib
+from pandas._libs import tslib, lib
 from pandas.types.common import (_coerce_to_dtype,
                                  _ensure_int64,
                                  needs_i8_conversion,

pandas/libs/lib.pxd renamed to pandas/_libs/lib.pxd

@@ -59,8 +59,8 @@
 import pandas.core.common as com
 from pandas.core.config import option_context
 
-from pandas.libs import lib, algos as libalgos, Timestamp, NaT, iNaT
-from pandas.libs.lib import count_level_2d
+from pandas._libs import lib, algos as libalgos, Timestamp, NaT, iNaT
+from pandas._libs.lib import count_level_2d
 
 _doc_template = """
 

pandas/libs/lib.pyx renamed to pandas/_libs/lib.pyx

@@ -53,9 +53,9 @@
 
 import pandas.core.missing as missing
 from pandas.sparse.array import _maybe_to_sparse, SparseArray
-from pandas.libs import lib, tslib
-from pandas.libs.tslib import Timedelta
-from pandas.libs.lib import BlockPlacement
+from pandas._libs import lib, tslib
+from pandas._libs.tslib import Timedelta
+from pandas._libs.lib import BlockPlacement
 
 import pandas.computation.expressions as expressions
 from pandas.util.decorators import cache_readonly

pandas/libs/period.pyx renamed to pandas/_libs/period.pyx

@@ -5,7 +5,7 @@
 import numpy as np
 from distutils.version import LooseVersion
 
-from pandas.libs import algos, lib
+from pandas._libs import algos, lib
 
 from pandas.compat import range, string_types
 from pandas.types.common import (is_numeric_v_string_like,

pandas/libs/src/datetime.pxd renamed to pandas/_libs/src/datetime.pxd

@@ -10,7 +10,7 @@
     _USE_BOTTLENECK = False
 
 from pandas import compat
-from pandas.libs import tslib, algos, lib
+from pandas._libs import tslib, algos, lib
 from pandas.types.common import (_get_dtype,
                                  is_float, is_scalar,
                                  is_integer, is_complex, is_float_dtype,

pandas/libs/src/datetime/np_datetime.c renamed to pandas/_libs/src/datetime/np_datetime.c

@@ -11,8 +11,8 @@
 import pandas as pd
 import datetime
 
-from pandas.libs import (lib, index as libindex,
-                         tslib as libts, algos as libalgos, iNaT)
+from pandas._libs import (lib, index as libindex,
+                          tslib as libts, algos as libalgos, iNaT)
 
 from pandas import compat
 from pandas.util.decorators import Appender

pandas/libs/src/datetime/np_datetime.h renamed to pandas/_libs/src/datetime/np_datetime.h

@@ -24,7 +24,7 @@
                                  decons_obs_group_ids)
 
 import pandas.core.algorithms as algos
-import pandas.libs.algos as _algos
+import pandas._libs.algos as _algos
 
 from pandas.core.index import MultiIndex, _get_na_value
 

pandas/libs/src/datetime/np_datetime_strings.c renamed to pandas/_libs/src/datetime/np_datetime_strings.c

@@ -68,7 +68,7 @@
 from pandas.util.decorators import Appender, deprecate_kwarg, Substitution
 from pandas.util.validators import validate_bool_kwarg
 
-from pandas.libs import index as libindex, tslib as libts, lib, iNaT
+from pandas._libs import index as libindex, tslib as libts, lib, iNaT
 from pandas.core.config import get_option
 
 __all__ = ['Series']

pandas/libs/src/datetime/np_datetime_strings.h renamed to pandas/_libs/src/datetime/np_datetime_strings.h

@@ -8,8 +8,8 @@
                                  is_categorical_dtype)
 from pandas.types.missing import isnull
 import pandas.core.algorithms as algorithms
-from pandas.libs import lib, algos, hashtable
-from pandas.libs.hashtable import unique_label_indices
+from pandas._libs import lib, algos, hashtable
+from pandas._libs.hashtable import unique_label_indices
 
 
 _INT64_MAX = np.iinfo(np.int64).max

pandas/libs/src/datetime_helper.h renamed to pandas/_libs/src/datetime_helper.h

@@ -17,7 +17,7 @@
 from pandas.core.base import AccessorProperty, NoNewAttributesMixin
 from pandas.util.decorators import Appender
 import re
-import pandas.libs.lib as lib
+import pandas._libs.lib as lib
 import warnings
 import textwrap
 import codecs

pandas/libs/src/headers/math.h renamed to pandas/_libs/src/headers/math.h

@@ -33,9 +33,9 @@
 from pandas.io.common import _get_handle, UnicodeWriter, _expand_user
 from pandas.formats.printing import adjoin, justify, pprint_thing
 import pandas.core.common as com
-import pandas.libs.lib as lib
-from pandas.libs.tslib import (iNaT, Timestamp, Timedelta,
-                               format_array_from_datetime)
+import pandas._libs.lib as lib
+from pandas._libs.tslib import (iNaT, Timestamp, Timedelta,
+                                format_array_from_datetime)
 from pandas.tseries.index import DatetimeIndex
 from pandas.tseries.period import PeriodIndex
 import pandas as pd

pandas/libs/src/headers/ms_inttypes.h renamed to pandas/_libs/src/headers/ms_inttypes.h

@@ -8,7 +8,7 @@
 from pandas.indexes.range import RangeIndex  # noqa
 
 import pandas.core.common as com
-import pandas.libs.lib as lib
+import pandas._libs.lib as lib
 
 # TODO: there are many places that rely on these private methods existing in
 # pandas.core.index

pandas/libs/src/headers/ms_stdint.h renamed to pandas/_libs/src/headers/ms_stdint.h

@@ -3,10 +3,10 @@
 import operator
 
 import numpy as np
-from pandas.libs import (lib, index as libindex, tslib as libts,
-                         algos as libalgos, join as libjoin,
-                         Timestamp, Timedelta, )
-from pandas.libs.lib import is_datetime_array
+from pandas._libs import (lib, index as libindex, tslib as libts,
+                          algos as libalgos, join as libjoin,
+                          Timestamp, Timedelta, )
+from pandas._libs.lib import is_datetime_array
 
 from pandas.compat import range, u
 from pandas.compat.numpy import function as nv

pandas/libs/src/headers/portable.h renamed to pandas/_libs/src/headers/portable.h

@@ -1,5 +1,5 @@
 import numpy as np
-from pandas.libs import index as libindex
+from pandas._libs import index as libindex
 
 from pandas import compat
 from pandas.compat.numpy import function as nv
@@ -303,7 +303,7 @@ def unique(self):
                                                    False: 'first'})
     @Appender(base._shared_docs['duplicated'] % _index_doc_kwargs)
     def duplicated(self, keep='first'):
-        from pandas.libs.hashtable import duplicated_int64
+        from pandas._libs.hashtable import duplicated_int64
         codes = self.codes.astype('i8')
         return duplicated_int64(codes, keep)