fix format

Author: GYHHAHA

pandas/core/generic.py

@@ -8008,7 +8008,8 @@ def resample(
         level : str or int, optional
             For a MultiIndex, level (name or number) to use for
             resampling. `level` must be datetime-like.
-        origin : {'epoch', 'start', 'start_day', 'end', 'end_day'}, Timestamp or str, default 'start_day'
+        origin : {'epoch', 'start', 'start_day', 'end', 'end_day'}, Timestamp
+        or str, default 'start_day'
             The timestamp on which to adjust the grouping. The timezone of origin
             must match the timezone of the index.
             If a timestamp is not used, these values are also supported:

pandas/core/groupby/grouper.py

@@ -83,7 +83,8 @@ class Grouper:
             However, loffset is also deprecated for ``.resample(...)``
             See: :class:`DataFrame.resample`
 
-    origin : {'epoch', 'start', 'start_day', 'end', 'end_day'}, Timestamp or str, default 'start_day'
+    origin : {'epoch', 'start', 'start_day', 'end', 'end_day'}, Timestamp
+    or str, default 'start_day'
         The timestamp on which to adjust the grouping. The timezone of origin
         must match the timezone of the index.
         If a timestamp is not used, these values are also supported:

pandas/core/resample.py

@@ -1418,8 +1418,9 @@ def __init__(
                 self.origin = Timestamp(origin)
             except Exception as e:
                 raise ValueError(
-                    "'origin' should be equal to 'epoch', 'start', 'start_day', 'end', 'end_day' "
-                    f"or should be a Timestamp convertible type. Got '{origin}' "
+                    "'origin' should be equal to 'epoch', 'start', 'start_day',"
+                    " 'end', 'end_day' or should be a Timestamp convertible"
+                    f" type. Got '{origin}' "
                     "instead."
                 ) from e
 
@@ -1431,7 +1432,8 @@ def __init__(
         elif backward:
             if origin in ("start", "start_day"):
                 raise ValueError(
-                    f"`start` or `start_day` origin isn't allowed when `backward` is True"
+                    f"`start` or `start_day` origin isn't allowed when "
+                    "`backward` is True"
                 )
             self.backward = backward
         else:

pandas/tests/resample/test_resample_api.py

@@ -659,10 +659,10 @@ def test_backward_resample():
 
     # test datetime origin with backward resample
     res = ts.resample(
-              "17min",
-              origin="2000-10-02 00:40:00",
-              backward=True,
-          ).sum().astype("int64")
+        "17min",
+        origin="2000-10-02 00:40:00",
+        backward=True,
+    ).sum().astype("int64")
     data = [0, 9, 36, 39, 24]
     expected = Series(
         data,
@@ -676,10 +676,10 @@ def test_backward_resample():
     tm.assert_series_equal(res, expected)
 
     res = ts.resample(
-              "17min",
-              origin="2000-10-02 01:05:00",
-              backward=True,
-          ).sum().astype("int64")
+        "17min",
+        origin="2000-10-02 01:05:00",
+        backward=True,
+    ).sum().astype("int64")
     data = [3, 15, 45, 45]
     expected = Series(
         data,
@@ -694,10 +694,10 @@ def test_backward_resample():
 
     # test right and left close
     res = ts.resample(
-              "17min",
-              origin="end",
-              closed="right",
-          ).sum().astype("int64")
+        "17min",
+        origin="end",
+        closed="right",
+    ).sum().astype("int64")
     data = [0, 18, 27, 63]
     expected = Series(
         data,
@@ -711,10 +711,10 @@ def test_backward_resample():
     tm.assert_series_equal(res, expected)
 
     res = ts.resample(
-              "17min",
-              origin="end",
-              closed="left",
-          ).sum().astype("int64")
+        "17min",
+        origin="end",
+        closed="left",
+    ).sum().astype("int64")
     data = [0, 18, 27, 39, 24]
     expected = Series(
         data,