min, max, to_csv, isnull, notnull

dios/dios.py

@@ -191,16 +191,19 @@ class DictOfSeries(_DiosBase):
         b    int64
         dtype: object
         """
-        if isinstance(attr_or_callable, str):
-            attr_or_callable = getattr(pd.Series, attr_or_callable)
-        call = callable(attr_or_callable)
+        attrOcall = attr_or_callable
+        if isinstance(attrOcall, str):
+            attrOcall = getattr(pd.Series, attrOcall)
+        call = callable(attrOcall)
+        if not call:
+            attrOcall = attr_or_callable
         data = pd.Series(dtype='O', index=self.columns)
         for c in self.columns:
             dat = self._data.at[c]
             if call:
-                data.at[c] = attr_or_callable(dat, **kwds)
+                data.at[c] = attrOcall(dat, **kwds)
             else:
-                data.at[c] = attr_or_callable.fget(dat)
+                data.at[c] = getattr(dat, attrOcall)
         return data
 
     def apply(self, func, axis=0, raw=False, args=(), **kwds):
@@ -394,6 +397,28 @@ class DictOfSeries(_DiosBase):
     def debugDf(self):
         return self.to_df()
 
+    def min(self, axis=0, skipna=True):
+        if axis in [0, 'index', None]:
+            return self.for_each(pd.Series.min, skipna=skipna)
+        elif axis in [1, 'columns']:
+            func = lambda s1, s2: s1.where(s1 < s2, s2)
+            res = self._reduce_horizontal(func, np.inf)
+            if not skipna:
+                res.loc[self.isna().any(axis=1)] = np.nan
+            return res
+        raise ValueError(axis)
+
+    def max(self, axis=None, skipna=None):
+        if axis in [0, 'index', None]:
+            return self.for_each(pd.Series.min, skipna=skipna)
+        elif axis in [1, 'columns']:
+            func = lambda s1, s2: s1.where(s1 > s2, s2)
+            res = self._reduce_horizontal(func, -np.inf)
+            if not skipna:
+                res.loc[self.isna().any(axis=1)] = np.nan
+            return res
+        raise ValueError(axis)
+
     # ----------------------------------------------------------------------
     # Boolean stuff
 
@@ -432,10 +457,16 @@ class DictOfSeries(_DiosBase):
         data = self.for_each('isna')
         return DictOfSeries(data=data, itype=self.itype, cast_policy=self._policy, fastpath=True)
 
+    def isnull(self):
+        return self.isna()
+
     def notna(self):
         data = self.for_each('notna')
         return DictOfSeries(data=data, itype=self.itype, cast_policy=self._policy, fastpath=True)
 
+    def notnull(self):
+        return self.notna()
+
     # ----------------------------------------------------------------------
     # Rendering Methods
 
@@ -502,6 +533,11 @@ class DictOfSeries(_DiosBase):
 
         return pprint_dios(self, **kwargs)
 
+    def to_csv(self, *args, **kwargs):
+        self.to_df().to_csv(*args, **kwargs)
+
+    to_csv.__doc__ = pd.DataFrame.to_csv.__doc__
+
 
 def _empty_repr(di):
     return f"Empty DictOfSeries\n" \