frame.append is deprecated (#125)

SeitaBV · Nov 23, 2022 · 2d52552 · 2d52552
1 parent 47a28a0
commit 2d52552
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Showing 2 changed files with 24 additions and 16 deletions.
diff --git a/timely_beliefs/beliefs/utils.py b/timely_beliefs/beliefs/utils.py
@@ -142,10 +142,14 @@ def respect_event_resolution(grouper: DataFrameGroupBy, resolution):
                 end=bin_end,
                 resolution=resolution,
             )
-            df = df.append(
-                tb_utils.replace_multi_index_level(
-                    df_slice, level="event_start", index=lvl0, intersection=True
-                )
+            df = pd.concat(
+                [
+                    df,
+                    tb_utils.replace_multi_index_level(
+                        df_slice, level="event_start", index=lvl0, intersection=True
+                    ),
+                ],
+                axis=0,
             )
 
     return df
@@ -239,17 +243,21 @@ def align_belief_times(
     # Create new BeliefsDataFrame
     df = slice.copy().reset_index().iloc[0:0]
     sensor = df.sensor
-    df = df.append(
-        pd.DataFrame(
-            data,
-            columns=[
-                "event_start",
-                "belief_time",
-                "source",
-                "cumulative_probability",
-                "event_value",
-            ],
-        )
+    df = pd.concat(
+        [
+            df,
+            pd.DataFrame(
+                data,
+                columns=[
+                    "event_start",
+                    "belief_time",
+                    "source",
+                    "cumulative_probability",
+                    "event_value",
+                ],
+            ),
+        ],
+        axis=0,
     )
     df.sensor = sensor
     df = df.set_index(

diff --git a/timely_beliefs/visualization/utils.py b/timely_beliefs/visualization/utils.py
@@ -338,7 +338,7 @@ def align_belief_horizons(
                 slice_with_existing_belief_horizon
             )
     df2 = df.copy().iloc[0:0]
-    df2 = df2.append(pd.DataFrame(data, columns=df2.columns))
+    df2 = pd.concat([df2, pd.DataFrame(data, columns=df2.columns)], axis=0)
     return df2