Added implementation of values (#28)

* Values first approach

* Test changed to check pd.values against implemented values. Values optimized (to value peach)

* Changed  to property (as defined in pandas docs).  documentation written

* Changed values to property (as defined in pandas docs). values documentation written

* Undone Notebook metadata changes

* Minor changes in docs. Tests cover string case

* Added implementation of values

* Some minor corrections proposed by reviewers

* Removed blank spaces. Improved tests. Merged solved

* Corrected .ipynb

* Linting errors solved

docs/user-guide/advanced/Pandas_API.ipynb

@@ -353,6 +353,32 @@
     "tab.size"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "4023811f-0f23-4e4b-919c-c055b865d9d2",
+   "metadata": {},
+   "source": [
+    "### Table.values\n",
+    "Return a matricial representation of the DataFrame.\n",
+    "\n",
+    "Only the values in the DataFrame will be returned, the axes labels will be removed.\n",
+    "\n",
+    "**Returns:**\n",
+    "\n",
+    "| Type              | Description                                                          |\n",
+    "| :---------------: | :------------------------------------------------------------------- |\n",
+    "| List | The values of the table as a matrix. |"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "a7843813-43fc-4920-acd9-6fd2dd50c32e",
+   "metadata": {},
+   "source": [
+    "tab.values"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "2be2ece3",

src/pykx/pandas_api/pandas_meta.py

@@ -135,6 +135,10 @@ def shape(self):
     def size(self):
         return q('{count[x] * count[cols x]}', self)
 
+    @property
+    def values(self):
+        return q('value each', self)
+
     @api_return
     def mean(self, axis: int = 0, numeric_only: bool = False):
         tab = self

tests/test_pandas_api.py

@@ -59,6 +59,15 @@ def test_df_size(q):
     assert (df.size == df.pd().size)
 
 
+def test_df_values(q):
+    tab = q('([]p: 10?100; s: 10?`a`b`c`d; id: 10?"abc123; nulls: 10?0n")')
+    pandas_table = tab.pd()
+    assert pandas_table.values.tolist() == tab.values.py()
+    tab = q('([]p: 2?100; n: (::; ::))')
+    pandas_table = tab.pd()
+    assert pandas_table.values.tolist() == tab.values.py()
+
+
 def test_df_head(kx, q):
     df = q('([] til 10; 10 - til 10)')
     assert check_result_and_type(kx, df.head(), q('5 # ([] til 10; 10 - til 10)'))