FEAT: Add implementation of cut [upstream] (modin-project#10)

Note for upstream: upstream should implement cut, but default to pandas instead
of raising NotImplementedError

Signed-off-by: mvashishtha <mahesh@ponder.io>

modin/pandas/__init__.py

@@ -26,7 +26,6 @@
     warnings.simplefilter("ignore")
     from pandas import (
         eval,
-        cut,
         factorize,
         test,
         qcut,
@@ -250,6 +249,7 @@ def init_remote_ray(partition):
     wide_to_long,
     to_timedelta,
     pivot_table,
+    cut,
 )
 
 from .plotting import Plotting as plotting
@@ -366,6 +366,7 @@ def init_remote_ray(partition):
     "Float32Dtype",
     "Float64Dtype",
     "from_dummies",
+    "cut",
 ]
 
 del pandas, Parameter

modin/pandas/general.py

@@ -825,3 +825,25 @@ def to_timedelta(arg, unit=None, errors="raise"):  # noqa: PR01, RT01, D200
         query_compiler = arg._query_compiler.to_timedelta(unit=unit, errors=errors)
         return Series(query_compiler=query_compiler)
     return pandas.to_timedelta(arg, unit=unit, errors=errors)
+
+
+def cut(
+    x,
+    bins,
+    right: bool = True,
+    labels=None,
+    retbins: bool = False,
+    precision: int = 3,
+    include_lowest: bool = False,
+    duplicates: str = "raise",
+    ordered: bool = True,
+):
+    if isinstance(x, DataFrame):
+        raise ValueError("Input array must be 1 dimensional")
+    if not isinstance(x, Series):
+        NotImplementedError("cut only supports cutting modin series")
+    return Series(
+        query_compiler=x._query_compiler.cut(
+            bins, right, labels, retbins, precision, include_lowest, duplicates, ordered
+        )
+    )