Release

NEWS.md

@@ -1,3 +1,12 @@
+# impectPy 2.5.5
+
+## Minor Changes
+* Fix issue column `playerCountry` in the following functions:
+  * `getPlayerMatchsums()`
+  * `getPlayerMatchScores()`
+  * `getPlayerIterationScores()`
+  * `getPlayerProfileScores()`
+
 # impectPy 2.5.4
 
 ## Major Changes

README.md

@@ -2,9 +2,9 @@
 
 A package provided by: Impect GmbH
 
-Version: v2.5.4
+Version: v2.5.5
 
-**Updated: January 2nd 2025**
+**Updated: January 6th 2025**
 
 ---
 
@@ -35,7 +35,7 @@ pip install impectPy
 You can also install it from [GitHub](https://github.com/) with:
 
 ```cmd
-pip install git+https://github.com/ImpectAPI/impectPy.git@v2.5.4
+pip install git+https://github.com/ImpectAPI/impectPy.git@v2.5.5
 ```
 
 ## Usage

impectPy/__init__.py

@@ -1,5 +1,5 @@
 # define version attribute
-__version__ = "2.5.4"
+__version__ = "2.5.5"
 
 # import modules
 from .access_token import getAccessToken

impectPy/player_iteration_scores.py

@@ -263,7 +263,6 @@ def fetch_player_iteration_scores(connection, url):
 
     # merge with other data
     averages["squadName"] = averages.squadId.map(squad_map)
-    averages["playerCountry"] = averages.squadId.map(country_map)
     averages = averages.merge(
         iterations[["id", "competitionName", "season"]],
         left_on="iterationId",
@@ -282,6 +281,7 @@ def fetch_player_iteration_scores(connection, url):
         how="left",
         suffixes=("", "_right")
     )
+    averages["playerCountry"] = averages.countryId.map(country_map)
 
     # remove NA rows
     averages = averages[averages.iterationId.notnull()]

impectPy/player_match_scores.py

@@ -355,7 +355,6 @@ def fetch_player_match_scores(connection, url):
 
     # merge with other data
     player_scores["squadName"] = player_scores.squadId.map(squad_map)
-    player_scores["playerCountry"] = player_scores.squadId.map(country_map)
     player_scores = player_scores.merge(
         matchplan[["id", "scheduledDate", "matchDayIndex", "matchDayName", "iterationId"]],
         left_on="matchId",
@@ -389,6 +388,7 @@ def fetch_player_match_scores(connection, url):
         how="left",
         suffixes=("", "_right")
     )
+    player_scores["playerCountry"] = player_scores.countryId.map(country_map)
 
     if not coaches_blacklisted:
 

impectPy/player_matchsums.py

@@ -249,7 +249,6 @@ def fetch_player_match_sums(connection, url):
 
     # merge with other data
     matchsums["squadName"] = matchsums.squadId.map(squad_map)
-    matchsums["playerCountry"] = matchsums.squadId.map(country_map)
     matchsums = matchsums.merge(
         matchplan[["id", "scheduledDate", "matchDayIndex", "matchDayName", "iterationId"]],
         left_on="matchId",
@@ -283,6 +282,7 @@ def fetch_player_match_sums(connection, url):
         how="left",
         suffixes=("", "_right")
     )
+    matchsums["playerCountry"] = matchsums.countryId.map(country_map)
 
     if not coaches_blacklisted:
 

impectPy/player_profile_scores.py

@@ -187,7 +187,6 @@ def fetch_player_profile_scores(connection, url):
         profile_scores.drop(["-1"], inplace=True, axis=1)
 
     # merge with playDuration and matchShare
-    profile_scores["playerCountry"] = profile_scores.squadId.map(country_map)
     profile_scores = profile_scores.merge(
         match_shares,
         left_on=["iterationId", "squadId", "playerId", "positions"],
@@ -222,6 +221,7 @@ def fetch_player_profile_scores(connection, url):
         how="left",
         suffixes=("", "_right")
     )
+    profile_scores["playerCountry"] = profile_scores.countryId.map(country_map)
 
     # remove NA rows
     profile_scores = profile_scores[profile_scores.iterationId.notnull()]

setup.py

@@ -17,7 +17,7 @@
                       "pandas>=2.2.0",
                       "numpy>=1.24.2"],
     # *strongly* suggested for sharing
-    version="2.5.4",
+    version="2.5.5",
     # The license can be anything you like
     license="MIT",
     description="A Python package to facilitate interaction with the Impect customer API",