Cython language level 3

pandas/_libs/groupby.pyx

@@ -56,10 +56,10 @@ cdef inline float64_t median_linear(float64_t* a, int n) nogil:
         n -= na_count
 
     if n % 2:
-        result = kth_smallest_c( a, n / 2, n)
+        result = kth_smallest_c( a, n // 2, n)
     else:
-        result = (kth_smallest_c(a, n / 2, n) +
-                  kth_smallest_c(a, n / 2 - 1, n)) / 2
+        result = (kth_smallest_c(a, n // 2, n) +
+                  kth_smallest_c(a, n // 2 - 1, n)) / 2
 
     if na_count:
         free(a)

pandas/_libs/tslib.pyx

@@ -275,7 +275,7 @@ def format_array_from_datetime(ndarray[int64_t] values, object tz=None,
                                                    dts.sec)
 
             if show_ns:
-                ns = dts.ps / 1000
+                ns = dts.ps // 1000
                 res += '.%.9d' % (ns + 1000 * dts.us)
             elif show_us:
                 res += '.%.6d' % dts.us

pandas/_libs/tslibs/ccalendar.pyx

@@ -159,7 +159,7 @@ cpdef int32_t get_week_of_year(int year, int month, int day) nogil:
     # estimate
     woy = (doy - 1) - dow + 3
     if woy >= 0:
-        woy = woy / 7 + 1
+        woy = woy // 7 + 1
 
     # verify
     if woy < 0:

pandas/_libs/tslibs/conversion.pyx

@@ -455,8 +455,8 @@ cdef _TSObject convert_str_to_tsobject(object ts, object tz, object unit,
                     dt = datetime(obj.dts.year, obj.dts.month, obj.dts.day,
                                   obj.dts.hour, obj.dts.min, obj.dts.sec,
                                   obj.dts.us, obj.tzinfo)
-                    obj = convert_datetime_to_tsobject(dt, tz,
-                                                       nanos=obj.dts.ps / 1000)
+                    obj = convert_datetime_to_tsobject(
+                        dt, tz, nanos=obj.dts.ps // 1000)
                     return obj
 
             else:

pandas/_libs/tslibs/fields.pyx

@@ -478,7 +478,7 @@ def get_date_field(ndarray[int64_t] dtindex, object field):
                     continue
 
                 dt64_to_dtstruct(dtindex[i], &dts)
-                out[i] = dts.ps / 1000
+                out[i] = dts.ps // 1000
         return out
     elif field == 'doy':
         with nogil:
@@ -522,7 +522,7 @@ def get_date_field(ndarray[int64_t] dtindex, object field):
 
                 dt64_to_dtstruct(dtindex[i], &dts)
                 out[i] = dts.month
-                out[i] = ((out[i] - 1) / 3) + 1
+                out[i] = ((out[i] - 1) // 3) + 1
         return out
 
     elif field == 'dim':

pandas/_libs/tslibs/offsets.pyx

@@ -541,7 +541,7 @@ def shift_day(other: datetime, days: int) -> datetime:
 
 cdef inline int year_add_months(npy_datetimestruct dts, int months) nogil:
     """new year number after shifting npy_datetimestruct number of months"""
-    return dts.year + (dts.month + months - 1) / 12
+    return dts.year + (dts.month + months - 1) // 12
 
 
 cdef inline int month_add_months(npy_datetimestruct dts, int months) nogil:

pandas/_libs/tslibs/strptime.pyx

@@ -240,7 +240,7 @@ def array_strptime(object[:] values, object fmt,
                 s += "0" * (9 - len(s))
                 us = long(s)
                 ns = us % 1000
-                us = us / 1000
+                us = us // 1000
             elif parse_code == 11:
                 weekday = locale_time.f_weekday.index(found_dict['A'].lower())
             elif parse_code == 12:
@@ -662,7 +662,7 @@ cdef parse_timezone_directive(object z):
     gmtoff_remainder_padding = "0" * pad_number
     microseconds = int(gmtoff_remainder + gmtoff_remainder_padding)
 
-    total_minutes = ((hours * 60) + minutes + (seconds / 60) +
-                     (microseconds / 60000000))
+    total_minutes = ((hours * 60) + minutes + (seconds // 60) +
+                     (microseconds // 60000000))
     total_minutes = -total_minutes if z.startswith("-") else total_minutes
     return pytz.FixedOffset(total_minutes)

pandas/_libs/tslibs/timestamps.pyx

@@ -68,7 +68,7 @@ cdef inline object create_timestamp_from_ts(int64_t value,
                                  dts.sec, dts.us, tz)
     ts_base.value = value
     ts_base.freq = freq
-    ts_base.nanosecond = dts.ps / 1000
+    ts_base.nanosecond = dts.ps // 1000
 
     return ts_base
 

pandas/_libs/writers.pyx

@@ -16,7 +16,6 @@ from numpy cimport ndarray, uint8_t
 
 ctypedef fused pandas_string:
     str
-    unicode
     bytes
 
 

setup.py

@@ -464,7 +464,7 @@ def get_tag(self):
 # Note: if not using `cythonize`, coverage can be enabled by
 # pinning `ext.cython_directives = directives` to each ext in extensions.
 # github.com/cython/cython/wiki/enhancements-compilerdirectives#in-setuppy
-directives = {'linetrace': False}
+directives = {'linetrace': False, 'language_level': 3}
 macros = []
 if linetrace:
     # https://pypkg.com/pypi/pytest-cython/f/tests/example-project/setup.py