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

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])