restore arch dataframe (#4663)

Signed-off-by: Yu Wu <yolandawu131@gmail.com>

python/fate/arch/dataframe/_dataframe.py

@@ -256,9 +256,11 @@ def sigmoid(self) -> "DataFrame":
     def count(self) -> "int":
         return self.shape[0]
 
-    def describe(self, ddof=1, unbiased=False):
+    def describe(self, metric_kwargs=None):
         from .ops._stat import describe
-        return describe(self, ddof=ddof, unbiased=unbiased)
+        if metric_kwargs is None:
+            metric_kwargs = dict()
+        return describe(self, metric_kwargs)
 
     def quantile(self, q, axis=0, method="quantile", ):
         ...

python/fate/arch/dataframe/ops/_stat.py

@@ -229,17 +229,18 @@ def variation(df: "DataFrame", ddof=1):
     return std(df, ddof==ddof) / mean(df)
 
 
-def describe(df: "DataFrame", ddof=1, unbiased=False):
+def describe(df: "DataFrame", metric_kwargs):
     stat_metrics = dict()
     stat_metrics["sum"] = sum(df)
     stat_metrics["min"] = min(df)
     stat_metrics["max"] = max(df)
     stat_metrics["mean"] = mean(df)
-    stat_metrics["std"] = std(df, ddof=ddof)
-    stat_metrics["var"] = var(df, ddof=ddof)
-    stat_metrics["variation"] = variation(df, ddof=ddof)
-    stat_metrics["skew"] = skew(df, unbiased=unbiased)
-    stat_metrics["kurt"] = kurt(df, unbiased=unbiased)
+    stat_metrics["std"] = std(df) if "std" not in metric_kwargs else std(df, ddof=metric_kwargs["std"])
+    stat_metrics["var"] = var(df) if "var" not in metric_kwargs else var(df, ddof=metric_kwargs["var"])
+    stat_metrics["variation"] = variation(df) if "variation" not in metric_kwargs else variation(df, ddof=metric_kwargs[
+        "variation"])
+    stat_metrics["skew"] = skew(df) if "skew" not in metric_kwargs else skew(df, unbiased=metric_kwargs["unbiased"])
+    stat_metrics["kurt"] = kurt(df) if "kurt" not in metric_kwargs else kurt(df, unbiased=metric_kwargs["unbiased"])
     stat_metrics["na_count"] = df.isna().sum()
 
     return pd.DataFrame(stat_metrics)