Python 3.11 support #227. Corrected a FutureWarning.

antoinecarme · Mar 9, 2023 · ed43d61 · ed43d61
1 parent 66e761a
commit ed43d61
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Showing 8 changed files with 9 additions and 226 deletions.
diff --git a/tests/basic_checks/hierarchy_checks.py b/tests/basic_checks/hierarchy_checks.py
@@ -34,6 +34,7 @@ def train_and_force_fail(b , error_message):
 df1 = b1.mHierarchy['Data']
 print(df1.tail())
 cols = df1.columns
-b1.mHierarchy['Data'] = df1.append(pd.DataFrame([['Unknown' , 'Other_State' , 'Australia']], columns=cols)).reset_index(drop=True);
+b1.mHierarchy['Data'] = pd.concat((df1, pd.DataFrame([['Unknown' , 'Other_State' , 'Australia']], columns=cols))).reset_index(drop=True);
+# b1.mHierarchy['Data'] = df1.append(pd.DataFrame([['Unknown' , 'Other_State' , 'Australia']], columns=cols)).reset_index(drop=True);
 print(b1.mHierarchy['Data'].tail())
 train_and_force_fail(b1 , "PYAF_ERROR_HIERARCHY_BASE_COLUMN_NOT_FOUND Unknown")    
diff --git a/tests/basic_checks/hierarchy_checks_non_existant_base_column.py b/tests/basic_checks/hierarchy_checks_non_existant_base_column.py
@@ -34,6 +34,7 @@ def train_and_force_fail(b , error_message):
 df1 = b1.mHierarchy['Data']
 print(df1.tail())
 cols = df1.columns
-b1.mHierarchy['Data'] = df1.append(pd.DataFrame([['Unknown' , 'Other_State' , 'Australia']], columns=cols)).reset_index(drop=True);
+b1.mHierarchy['Data'] = pd.concat((df1, pd.DataFrame([['Unknown' , 'Other_State' , 'Australia']], columns=cols))).reset_index(drop=True);
+# b1.mHierarchy['Data'] = df1.append(pd.DataFrame([['Unknown' , 'Other_State' , 'Australia']], columns=cols)).reset_index(drop=True);
 print(b1.mHierarchy['Data'].tail())
 train_and_force_fail(b1 , "PYAF_ERROR_HIERARCHY_BASE_COLUMN_NOT_FOUND Unknown")    
diff --git a/tests/basic_checks/hierarchy_checks_unkonwn_base_column.py b/tests/basic_checks/hierarchy_checks_unkonwn_base_column.py
@@ -34,6 +34,6 @@ def train_and_force_fail(b , error_message):
 df1 = b1.mHierarchy['Data']
 print(df1.tail())
 cols = df1.columns
-b1.mHierarchy['Data'] = df1.append(pd.DataFrame([['Unknown' , 'Other_State' , 'Australia']], columns=cols)).reset_index(drop=True);
+b1.mHierarchy['Data'] = pd.concat((df1, pd.DataFrame([['Unknown' , 'Other_State' , 'Australia']], columns=cols))).reset_index(drop=True);
 print(b1.mHierarchy['Data'].tail())
 train_and_force_fail(b1 , "PYAF_ERROR_HIERARCHY_BASE_COLUMN_NOT_FOUND Unknown")    
diff --git a/tests/hierarchical/test_grouped_signals_AllMethods_Exogenous_all_nodes.py b/tests/hierarchical/test_grouped_signals_AllMethods_Exogenous_all_nodes.py
@@ -14,7 +14,7 @@ def create_exog_data(b1):
     # fake exog data based on date variable
     lDate1 = b1.mPastData['Index']
     lDate2 = b1.mFutureData['Index'] # not needed. exogenous data are missing when not available.
-    lDate = lDate1.append(lDate2)
+    lDate = pd.concat((lDate1, lDate2), axis = 0)
     lExogenousDataFrame = pd.DataFrame()
     lExogenousDataFrame['Index'] = lDate
     lExogenousDataFrame['Index_ex1'] = lDate * lDate

diff --git a/tests/hierarchical/test_grouped_signals_AllMethods_Exogenous_per_node.py b/tests/hierarchical/test_grouped_signals_AllMethods_Exogenous_per_node.py
@@ -14,7 +14,7 @@ def create_exog_data(b1):
     # fake exog data based on date variable
     lDate1 = b1.mPastData['Index']
     lDate2 = b1.mFutureData['Index'] # not needed. exogenous data are missing when not available.
-    lDate = lDate1.append(lDate2)
+    lDate = pd.concat((lDate1, lDate2), axis = 0)
     lExogenousDataFrame = pd.DataFrame()
     lExogenousDataFrame['Index'] = lDate
     lExogenousDataFrame['Index_ex1'] = lDate * lDate

diff --git a/tests/hierarchical/test_hierarchy_AU_AllMethods_Exogenous_all_nodes.py b/tests/hierarchical/test_hierarchy_AU_AllMethods_Exogenous_all_nodes.py
@@ -11,7 +11,7 @@ def create_exog_data(b1):
     # fake exog data based on date variable
     lDate1 = b1.mPastData['Date']
     lDate2 = b1.mFutureData['Date'] # not needed. exogfenous data are missing when not available.
-    lDate = lDate1.append(lDate2)
+    lDate = pd.concat((lDate1, lDate2), axis = 0)
     lExogenousDataFrame = pd.DataFrame()
     lExogenousDataFrame['Date'] = lDate
     lExogenousDataFrame['Date_second'] = lDate.dt.second

diff --git a/tests/hierarchical/test_hierarchy_AU_AllMethods_Exogenous_per_node.py b/tests/hierarchical/test_hierarchy_AU_AllMethods_Exogenous_per_node.py
@@ -11,7 +11,7 @@ def create_exog_data(b1):
     # fake exog data based on date variable
     lDate1 = b1.mPastData['Date']
     lDate2 = b1.mFutureData['Date'] # not needed. exogfenous data are missing when not available.
-    lDate = lDate1.append(lDate2)
+    lDate = pd.concat((lDate1, lDate2), axis = 0)
     lExogenousDataFrame = pd.DataFrame()
     lExogenousDataFrame['Date'] = lDate
     lExogenousDataFrame['Date_second'] = lDate.dt.second

diff --git a/tests/references/bugs/issue_76/test_ozone_unicode.log b/tests/references/bugs/issue_76/test_ozone_unicode.log