CLN: Cython Py2/3 Compatible Imports

pandas/_libs/algos.pxd

@@ -1,4 +1,4 @@
-from util cimport numeric
+from pandas._libs.util cimport numeric
 
 
 cdef inline Py_ssize_t swap(numeric *a, numeric *b) nogil:

pandas/_libs/algos.pyx

@@ -19,15 +19,14 @@ from numpy cimport (ndarray,
 cnp.import_array()
 
 
-cimport util
-from util cimport numeric, get_nat
+cimport pandas._libs.util as util
+from pandas._libs.util cimport numeric, get_nat
 
-from khash cimport (khiter_t,
-                    kh_destroy_int64, kh_put_int64,
-                    kh_init_int64, kh_int64_t,
-                    kh_resize_int64, kh_get_int64)
+from pandas._libs.khash cimport (
+    khiter_t, kh_destroy_int64, kh_put_int64, kh_init_int64, kh_int64_t,
+    kh_resize_int64, kh_get_int64)
 
-import missing
+import pandas._libs.missing as missing
 
 cdef float64_t FP_ERR = 1e-13
 

pandas/_libs/groupby.pyx

@@ -13,11 +13,13 @@ from numpy cimport (ndarray,
 cnp.import_array()
 
 
-from util cimport numeric, get_nat
+from pandas._libs.util cimport numeric, get_nat
 
-from algos cimport (swap, TiebreakEnumType, TIEBREAK_AVERAGE, TIEBREAK_MIN,
-                    TIEBREAK_MAX, TIEBREAK_FIRST, TIEBREAK_DENSE)
-from algos import take_2d_axis1_float64_float64, groupsort_indexer, tiebreakers
+from pandas._libs.algos cimport (swap, TiebreakEnumType, TIEBREAK_AVERAGE,
+                                 TIEBREAK_MIN, TIEBREAK_MAX, TIEBREAK_FIRST,
+                                 TIEBREAK_DENSE)
+from pandas._libs.algos import (take_2d_axis1_float64_float64,
+                                groupsort_indexer, tiebreakers)
 
 cdef int64_t NPY_NAT = get_nat()
 

pandas/_libs/hashing.pyx

@@ -9,7 +9,7 @@ import numpy as np
 from numpy cimport uint8_t, uint32_t, uint64_t, import_array
 import_array()
 
-from util cimport is_nan
+from pandas._libs.util cimport is_nan
 
 DEF cROUNDS = 2
 DEF dROUNDS = 4

pandas/_libs/hashtable.pxd

@@ -1,5 +1,6 @@
-from khash cimport (kh_int64_t, kh_uint64_t, kh_float64_t, kh_pymap_t,
-                    kh_str_t, uint64_t, int64_t, float64_t)
+from pandas._libs.khash cimport (
+    kh_int64_t, kh_uint64_t, kh_float64_t, kh_pymap_t, kh_str_t, uint64_t,
+    int64_t, float64_t)
 from numpy cimport ndarray
 
 # prototypes for sharing

pandas/_libs/hashtable.pyx

@@ -16,7 +16,7 @@ cdef extern from "numpy/npy_math.h":
     float64_t NAN "NPY_NAN"
 
 
-from khash cimport (
+from pandas._libs.khash cimport (
     khiter_t,
 
     kh_str_t, kh_init_str, kh_put_str, kh_exist_str,
@@ -37,9 +37,9 @@ from khash cimport (
     kh_put_pymap, kh_resize_pymap)
 
 
-cimport util
+cimport pandas._libs.util as util
 
-from missing cimport checknull
+from pandas._libs.missing cimport checknull
 
 
 cdef int64_t NPY_NAT = util.get_nat()

pandas/_libs/index.pyx

@@ -15,11 +15,11 @@ from numpy cimport (ndarray, intp_t,
 cnp.import_array()
 
 
-cimport util
+cimport pandas._libs.util as util
 
-from tslibs.conversion cimport maybe_datetimelike_to_i8
+from pandas._libs.tslibs.conversion cimport maybe_datetimelike_to_i8
 
-from hashtable cimport HashTable
+from pandas._libs.hashtable cimport HashTable
 
 from pandas._libs import algos, hashtable as _hash
 from pandas._libs.tslibs import Timestamp, Timedelta, period as periodlib

pandas/_libs/internals.pyx

@@ -18,7 +18,7 @@ cdef extern from "compat_helper.h":
                                Py_ssize_t *slicelength) except -1
 
 
-from algos import ensure_int64
+from pandas._libs.algos import ensure_int64
 
 
 cdef class BlockPlacement:

pandas/_libs/interval.pyx

@@ -17,13 +17,13 @@ from numpy cimport (
 cnp.import_array()
 
 
-cimport util
+cimport pandas._libs.util as util
 util.import_array()
 
-from hashtable cimport Int64Vector, Int64VectorData
+from pandas._libs.hashtable cimport Int64Vector, Int64VectorData
 
-from tslibs import Timestamp
-from tslibs.timezones cimport tz_compare
+from pandas._libs.tslibs import Timestamp
+from pandas._libs.tslibs.timezones cimport tz_compare
 
 
 _VALID_CLOSED = frozenset(['left', 'right', 'both', 'neither'])

pandas/_libs/join.pyx

@@ -656,7 +656,7 @@ outer_join_indexer_uint64 = outer_join_indexer["uint64_t"]
 # asof_join_by
 # ----------------------------------------------------------------------
 
-from hashtable cimport (
+from pandas._libs.hashtable cimport (
     HashTable, PyObjectHashTable, UInt64HashTable, Int64HashTable)
 
 ctypedef fused asof_t:

pandas/_libs/lib.pyx

@@ -49,18 +49,19 @@ cdef extern from "numpy/arrayobject.h":
 cdef extern from "src/parse_helper.h":
     int floatify(object, float64_t *result, int *maybe_int) except -1
 
-cimport util
-from util cimport is_nan, UINT64_MAX, INT64_MAX, INT64_MIN
-
-from tslib import array_to_datetime
-from tslibs.nattype cimport NPY_NAT
-from tslibs.nattype import NaT
-from tslibs.conversion cimport convert_to_tsobject
-from tslibs.timedeltas cimport convert_to_timedelta64
-from tslibs.timezones cimport get_timezone, tz_compare
-
-from missing cimport (checknull, isnaobj,
-                      is_null_datetime64, is_null_timedelta64, is_null_period)
+cimport pandas._libs.util as util
+from pandas._libs.util cimport is_nan, UINT64_MAX, INT64_MAX, INT64_MIN
+
+from pandas._libs.tslib import array_to_datetime
+from pandas._libs.tslibs.nattype cimport NPY_NAT
+from pandas._libs.tslibs.nattype import NaT
+from pandas._libs.tslibs.conversion cimport convert_to_tsobject
+from pandas._libs.tslibs.timedeltas cimport convert_to_timedelta64
+from pandas._libs.tslibs.timezones cimport get_timezone, tz_compare
+
+from pandas._libs.missing cimport (
+    checknull, isnaobj, is_null_datetime64, is_null_timedelta64, is_null_period
+)
 
 
 # constants that will be compared to potentially arbitrarily large

pandas/_libs/missing.pyx

@@ -8,11 +8,12 @@ cimport numpy as cnp
 from numpy cimport ndarray, int64_t, uint8_t, float64_t
 cnp.import_array()
 
-cimport util
+cimport pandas._libs.util as util
 
-from tslibs.np_datetime cimport get_timedelta64_value, get_datetime64_value
-from tslibs.nattype cimport checknull_with_nat
-from tslibs.nattype import NaT
+from pandas._libs.tslibs.np_datetime cimport (
+    get_timedelta64_value, get_datetime64_value)
+from pandas._libs.tslibs.nattype cimport checknull_with_nat
+from pandas._libs.tslibs.nattype import NaT
 
 cdef float64_t INF = <float64_t>np.inf
 cdef float64_t NEGINF = -INF

pandas/_libs/ops.pyx

@@ -12,9 +12,9 @@ from numpy cimport ndarray, uint8_t, import_array
 import_array()
 
 
-from util cimport UINT8_MAX, is_nan
+from pandas._libs.util cimport UINT8_MAX, is_nan
 
-from missing cimport checknull
+from pandas._libs.missing cimport checknull
 
 
 @cython.wraparound(False)

pandas/_libs/parsers.pyx

@@ -32,10 +32,10 @@ cimport numpy as cnp
 from numpy cimport ndarray, uint8_t, uint64_t, int64_t, float64_t
 cnp.import_array()
 
-from util cimport UINT64_MAX, INT64_MAX, INT64_MIN
-import lib
+from pandas._libs.util cimport UINT64_MAX, INT64_MAX, INT64_MIN
+import pandas._libs.lib as lib
 
-from khash cimport (
+from pandas._libs.khash cimport (
     khiter_t,
     kh_str_t, kh_init_str, kh_put_str, kh_exist_str,
     kh_get_str, kh_destroy_str,

pandas/_libs/reduction.pyx

@@ -15,8 +15,8 @@ from numpy cimport (ndarray,
                     flatiter)
 cnp.import_array()
 
-cimport util
-from lib import maybe_convert_objects
+cimport pandas._libs.util as util
+from pandas._libs.lib import maybe_convert_objects
 
 
 cdef _get_result_array(object obj, Py_ssize_t size, Py_ssize_t cnt):

pandas/_libs/tslib.pyx

@@ -17,36 +17,33 @@ cnp.import_array()
 
 import pytz
 
-from util cimport (is_integer_object, is_float_object, is_string_object,
-                   is_datetime64_object)
+from pandas._libs.util cimport (
+    is_integer_object, is_float_object, is_string_object, is_datetime64_object)
 
 
-from tslibs.np_datetime cimport (check_dts_bounds,
-                                 npy_datetimestruct,
-                                 _string_to_dts,
-                                 dt64_to_dtstruct, dtstruct_to_dt64,
-                                 pydatetime_to_dt64, pydate_to_dt64,
-                                 get_datetime64_value)
-from tslibs.np_datetime import OutOfBoundsDatetime
+from pandas._libs.tslibs.np_datetime cimport (
+    check_dts_bounds, npy_datetimestruct, _string_to_dts, dt64_to_dtstruct,
+    dtstruct_to_dt64, pydatetime_to_dt64, pydate_to_dt64, get_datetime64_value)
+from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
 
-from tslibs.parsing import parse_datetime_string
+from pandas._libs.tslibs.parsing import parse_datetime_string
 
-from tslibs.timedeltas cimport cast_from_unit
-from tslibs.timezones cimport is_utc, is_tzlocal, get_dst_info
-from tslibs.timezones import UTC
-from tslibs.conversion cimport (tz_convert_single, _TSObject,
-                                convert_datetime_to_tsobject,
-                                get_datetime64_nanos,
-                                tz_convert_utc_to_tzlocal)
+from pandas._libs.tslibs.timedeltas cimport cast_from_unit
+from pandas._libs.tslibs.timezones cimport is_utc, is_tzlocal, get_dst_info
+from pandas._libs.tslibs.timezones import UTC
+from pandas._libs.tslibs.conversion cimport (
+    tz_convert_single, _TSObject, convert_datetime_to_tsobject,
+    get_datetime64_nanos, tz_convert_utc_to_tzlocal)
 
 # many modules still look for NaT and iNaT here despite them not being needed
-from tslibs.nattype import nat_strings, iNaT  # noqa:F821
-from tslibs.nattype cimport checknull_with_nat, NPY_NAT, c_NaT as NaT
+from pandas._libs.tslibs.nattype import nat_strings, iNaT  # noqa:F821
+from pandas._libs.tslibs.nattype cimport (
+    checknull_with_nat, NPY_NAT, c_NaT as NaT)
 
-from tslibs.offsets cimport to_offset
+from pandas._libs.tslibs.offsets cimport to_offset
 
-from tslibs.timestamps cimport create_timestamp_from_ts
-from tslibs.timestamps import Timestamp
+from pandas._libs.tslibs.timestamps cimport create_timestamp_from_ts
+from pandas._libs.tslibs.timestamps import Timestamp
 
 
 cdef bint PY2 = str == bytes

pandas/_libs/tslibs/ccalendar.pyx

@@ -10,7 +10,7 @@ from cython import Py_ssize_t
 from numpy cimport int64_t, int32_t
 
 from locale import LC_TIME
-from strptime import LocaleTime
+from .strptime import LocaleTime
 
 # ----------------------------------------------------------------------
 # Constants

pandas/_libs/tslibs/conversion.pxd

@@ -4,7 +4,7 @@ from cpython.datetime cimport datetime, tzinfo
 
 from numpy cimport int64_t, int32_t
 
-from np_datetime cimport npy_datetimestruct
+from pandas._libs.tslibs.np_datetime cimport npy_datetimestruct
 
 
 cdef class _TSObject:

pandas/_libs/tslibs/conversion.pyx

@@ -17,30 +17,28 @@ from cpython.datetime cimport (datetime, tzinfo,
                                PyDateTime_CheckExact, PyDateTime_IMPORT)
 PyDateTime_IMPORT
 
-from ccalendar import DAY_SECONDS, HOUR_SECONDS
-
-from np_datetime cimport (check_dts_bounds,
-                          npy_datetimestruct,
-                          pandas_datetime_to_datetimestruct, _string_to_dts,
-                          npy_datetime,
-                          dt64_to_dtstruct, dtstruct_to_dt64,
-                          get_datetime64_unit, get_datetime64_value,
-                          pydatetime_to_dt64, NPY_DATETIMEUNIT, NPY_FR_ns)
-from np_datetime import OutOfBoundsDatetime
-
-from util cimport (is_string_object,
-                   is_datetime64_object,
-                   is_integer_object, is_float_object)
-
-from timedeltas cimport cast_from_unit
-from timezones cimport (is_utc, is_tzlocal, is_fixed_offset,
+from .ccalendar import DAY_SECONDS, HOUR_SECONDS
+
+from .np_datetime cimport (
+    check_dts_bounds, npy_datetimestruct, pandas_datetime_to_datetimestruct,
+    _string_to_dts, npy_datetime, dt64_to_dtstruct, dtstruct_to_dt64,
+    get_datetime64_unit, get_datetime64_value, pydatetime_to_dt64,
+    NPY_DATETIMEUNIT, NPY_FR_ns)
+from .np_datetime import OutOfBoundsDatetime
+
+from .util cimport (is_string_object,
+                    is_datetime64_object,
+                    is_integer_object, is_float_object)
+
+from .timedeltas cimport cast_from_unit
+from .timezones cimport (is_utc, is_tzlocal, is_fixed_offset,
                         get_utcoffset, get_dst_info,
                         get_timezone, maybe_get_tz, tz_compare)
-from timezones import UTC
-from parsing import parse_datetime_string
+from .timezones import UTC
+from .parsing import parse_datetime_string
 
-from nattype import nat_strings
-from nattype cimport NPY_NAT, checknull_with_nat, c_NaT as NaT
+from .nattype import nat_strings
+from .nattype cimport NPY_NAT, checknull_with_nat, c_NaT as NaT
 
 # ----------------------------------------------------------------------
 # Constants
@@ -1091,7 +1089,7 @@ cdef inline Py_ssize_t bisect_right_i8(int64_t *data,
 
 cdef inline str _render_tstamp(int64_t val):
     """ Helper function to render exception messages"""
-    from timestamps import Timestamp
+    from pandas._libs.tslibs.timestamps import Timestamp
     return str(Timestamp(val))
 
 

pandas/_libs/tslibs/fields.pyx

@@ -12,12 +12,12 @@ cimport numpy as cnp
 from numpy cimport ndarray, int64_t, int32_t, int8_t
 cnp.import_array()
 
-from ccalendar import get_locale_names, MONTHS_FULL, DAYS_FULL, DAY_SECONDS
-from ccalendar cimport (get_days_in_month, is_leapyear, dayofweek,
-                        get_week_of_year, get_day_of_year)
-from np_datetime cimport (npy_datetimestruct, pandas_timedeltastruct,
-                          dt64_to_dtstruct, td64_to_tdstruct)
-from nattype cimport NPY_NAT
+from .ccalendar import get_locale_names, MONTHS_FULL, DAYS_FULL, DAY_SECONDS
+from .ccalendar cimport (get_days_in_month, is_leapyear, dayofweek,
+                         get_week_of_year, get_day_of_year)
+from .np_datetime cimport (npy_datetimestruct, pandas_timedeltastruct,
+                           dt64_to_dtstruct, td64_to_tdstruct)
+from .nattype cimport NPY_NAT
 
 
 def get_time_micros(ndarray[int64_t] dtindex):

pandas/_libs/tslibs/frequencies.pyx

@@ -4,9 +4,9 @@ import re
 cimport numpy as cnp
 cnp.import_array()
 
-from util cimport is_integer_object, is_string_object
+from .util cimport is_integer_object, is_string_object
 
-from ccalendar import MONTH_NUMBERS
+from .ccalendar import MONTH_NUMBERS
 
 # ----------------------------------------------------------------------
 # Constants

pandas/_libs/tslibs/nattype.pyx

@@ -14,10 +14,9 @@ cimport numpy as cnp
 from numpy cimport int64_t
 cnp.import_array()
 
-cimport util
-from util cimport (get_nat,
-                   is_integer_object, is_float_object,
-                   is_datetime64_object, is_timedelta64_object)
+cimport pandas._libs.tslibs.util as util
+from .util cimport (get_nat, is_integer_object, is_float_object,
+                    is_datetime64_object, is_timedelta64_object)
 
 # ----------------------------------------------------------------------
 # Constants