Refactor q code. pflake8 fixes.

src/pykx/pandas_api/pandas_indexing.py

@@ -453,12 +453,14 @@ def rename(self, labels=None, index=None, columns=None, axis=0,
                 t = _rename_columns(t, columns)
 
         return t
-    
+
     def add_suffix(self, suffix, axis=0):
         t = self
         if axis == 1:
-            c_str = 'cols value' if "Keyed" in str(type(t)) else 'cols'
-            t = q(f'{{(c!`$string[c:{c_str} y],\:string x)xcol y}}', suffix, t)
+            t = q('''{[s;t]
+                  c:$[99h~type t;cols value@;cols] t;
+                  (c!`$string[c],\\:string s) xcol t
+                  }''', suffix, t)
         elif axis == 0:
             raise ValueError('nyi')
         else:
@@ -468,8 +470,10 @@ def add_suffix(self, suffix, axis=0):
     def add_prefix(self, prefix, axis=0):
         t = self
         if axis == 1:
-            c_str = 'cols value' if "Keyed" in str(type(t)) else 'cols'
-            t = q(f'{{(c!`$string[x],/:string c:{c_str} y)xcol y}}', prefix, t)
+            t = q('''{[s;t]
+                  c:$[99h~type t;cols value@;cols] t;
+                  (c!`$string[s],/:string[c]) xcol t
+                  }''', prefix, t)
         elif axis == 0:
             raise ValueError('nyi')
         else:

src/pykx/pandas_api/pandas_meta.py

@@ -162,21 +162,19 @@ def std(self, axis: int = 0, ddof: int = 1, numeric_only: bool = False):
         if numeric_only:
             tab = _get_numeric_only_subtable(tab)
 
-        key_str = '' if axis == 0 else '`$string '
-        val_str = '' if axis == 0 else '"f"$value '
-        query_str = 'cols[tab]' if axis == 0 else 'til[count[tab]]'
-        where_str = ' where not (::)~/:r[;1]'
-        x_dev_str = f'{{avg sqrt (sum xexp[x-avg x;2]) % count[x]-{ddof}}}'
-        dev_str = 'dev' if ddof == 0 else 'sdev' if ddof == 1 else x_dev_str
+        axis_keys = q('{[axis;tab] $[0~axis;cols;`$string til count @] tab}', axis, tab)
 
         if ddof == len(tab):
-            return q(f'{{[tab]{query_str}!count[{query_str}]#0n}}', tab)
+            return q('{x!count[x]#0n}', axis_keys)
 
         return q(
-            '{[tab]'
-            f'r:{{[tab; x] ({key_str}x; {dev_str} {val_str}tab[x])}}[tab;] each {query_str};'
-            f'(,/) {{(enlist x 0)!(enlist x 1)}} each r{where_str}}}',
-            tab
+            '''{[tab;axis;ddof;axis_keys]
+                tab:$[0~axis;(::);flip] value flip tab;
+                d:$[0~ddof;dev;
+                    1~ddof;sdev;
+                    {[ddof;x] avg sqrt (sum xexp[x-avg x;2]) % count[x]-ddof}ddof];
+                axis_keys!d each tab
+            }''', tab, axis, ddof, axis_keys
         )
 
     @api_return
@@ -274,13 +272,11 @@ def prod(self, axis=0, skipna=True, numeric_only=False, min_count=0):
     def skew(self, axis=0, skipna=True, numeric_only=False):
         res, cols = preparse_computations(self, axis, skipna, numeric_only)
         return (q(
-            '{[row]'
-            # adjusted Fisher-Pearson standardized moment
-            'm:{(sum (x - avg x) xexp y) % count x};'
-            'g1:{[m;x]m:m[x]; m[3] % m[2] xexp 3%2}[m];'
-            '{[g1;x]g1[x] * sqrt[n * n-1] % neg[2] + n:count x}[g1] each row}',
-            res
-        ), cols)
+            '''{[row]
+                m:{(sum (x - avg x) xexp y) % count x};
+                g1:{[m;x]m:m[x]; m[3] % m[2] xexp 3%2}[m];
+                (g1 each row) * {sqrt[n * n-1] % neg[2] + n:count x} each row
+            }''', res), cols)
 
     @convert_result
     def sum(self, axis=0, skipna=True, numeric_only=False, min_count=0):
@@ -352,4 +348,4 @@ def agg(self, func, axis=0, *args, **kwargs): # noqa: C901
     @convert_result
     def count(self, axis=0, numeric_only=False):
         res, cols = preparse_computations(self, axis, True, numeric_only)
-        return (q('count each', res), cols)
+        return (q('count each', res), cols)

tests/test_pandas_api.py

@@ -2037,7 +2037,7 @@ def test_pandas_count(q):
 
     qcount = tab.count(axis=1).py()
     pcount = df.count(axis=1)
-    
+
     assert int(qcount[0]) == int(pcount[0])
     assert int(qcount[1]) == 1
 
@@ -2068,7 +2068,7 @@ def test_df_add_prefix(kx, q):
     with pytest.raises(ValueError) as err:
         t.add_prefix("col_", axis=0)
         assert 'nyi' in str(err)
-    
+
     with pytest.raises(ValueError) as err:
         t.add_prefix("col_", axis=3)
         assert 'No axis named 3' in str(err)
@@ -2089,7 +2089,7 @@ def test_df_add_suffix(kx, q):
     with pytest.raises(ValueError) as err:
         t.add_suffix("_col", axis=0)
         assert 'nyi' in str(err)
-        
+
     with pytest.raises(ValueError) as err:
         t.add_suffix("_col", axis=3)
         assert 'No axis named 3' in str(err)