Need to test DataFrame.product with small DataFrames

[gshimansky]

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):

Ubuntu 19.10

• Modin version (modin.__version__):

0.7.3+42.gc78828e.dirty

• Python version:

Python 3.7.5

• Code we can use to reproduce:

diff --git a/modin/pandas/test/utils.py b/modin/pandas/test/utils.py
index 1faaf38..d4d257c 100644
--- a/modin/pandas/test/utils.py
+++ b/modin/pandas/test/utils.py
@@ -63,6 +63,11 @@ test_data = {
         ]
         for i in range(NCOLS)
     },
+    "small": {
+        "col0": [1, 2, 3, 4],
+        "col1": [8.0, 9.4, 10.1, 11.3],
+        "col2": [4, 5, 6, 7],
+    },
     # "int_float_object_data": {
     #     "col3": [1, 2, 3, 4],
     #     "col4": [4, 5, 6, 7],

Describe the problem

When dataframe size is small and is smaller than min_count parameter value for product it causes a lot of tests to fail. Pandas behaves quite strangely and Modin works differently.

Source code / logs

[dchigarev]

I've found out that pandas have a strange output for product and sum only if numeric_only parameter specified or skipna=False, so I've changed modin behavior to it mirrors pandas in #1827 and also added test cases that were suggested by @gshimansky above