fix deprecation

sportsdataverse · Jun 23, 2024 · f6a610d · f6a610d
1 parent 62b2c29
commit f6a610d
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Showing 3 changed files with 18 additions and 18 deletions.
diff --git a/setup.py b/setup.py
@@ -38,7 +38,7 @@
     # Versions should comply with PEP440.  For a discussion on single-sourcing
     # the version across setup.py and the project code, see
     # https://packaging.python.org/en/latest/single_source_version.html
-    version="0.0.36.2.9",
+    version="0.0.36.2.10",
     description="Retrieve Sports data in Python",
     long_description=long_description,
     long_description_content_type="text/markdown",

diff --git a/sportsdataverse/cfb/cfb_pbp.py b/sportsdataverse/cfb/cfb_pbp.py
@@ -4708,29 +4708,29 @@ def __process_qbr(self, play_df):
         )
 
         play_df["sack_epa"] = np.where(
-            play_df["non_fumble_sack"] == True, play_df["qbr_epa"], np.NaN
+            play_df["non_fumble_sack"] == True, play_df["qbr_epa"], np.nan
         )
         play_df["pass_epa"] = np.where(
-            play_df["pass"] == True, play_df["qbr_epa"], np.NaN
+            play_df["pass"] == True, play_df["qbr_epa"], np.nan
         )
         play_df["rush_epa"] = np.where(
-            play_df["rush"] == True, play_df["qbr_epa"], np.NaN
+            play_df["rush"] == True, play_df["qbr_epa"], np.nan
         )
         play_df["pen_epa"] = np.where(
-            play_df["penalty_flag"] == True, play_df["qbr_epa"], np.NaN
+            play_df["penalty_flag"] == True, play_df["qbr_epa"], np.nan
         )
 
         play_df["sack_weight"] = np.where(
-            play_df["non_fumble_sack"] == True, play_df["weight"], np.NaN
+            play_df["non_fumble_sack"] == True, play_df["weight"], np.nan
         )
         play_df["pass_weight"] = np.where(
-            play_df["pass"] == True, play_df["weight"], np.NaN
+            play_df["pass"] == True, play_df["weight"], np.nan
         )
         play_df["rush_weight"] = np.where(
-            play_df["rush"] == True, play_df["weight"], np.NaN
+            play_df["rush"] == True, play_df["weight"], np.nan
         )
         play_df["pen_weight"] = np.where(
-            play_df["penalty_flag"] == True, play_df["weight"], np.NaN
+            play_df["penalty_flag"] == True, play_df["weight"], np.nan
         )
 
         play_df["action_play"] = play_df.EPA != 0
@@ -5041,7 +5041,7 @@ def __cast_box_score_column(self, column, target_type):
         if (column in self.plays_json.columns):
             self.plays_json[column] = self.plays_json[column].astype(target_type)
         else:
-            self.plays_json[column] = np.NaN
+            self.plays_json[column] = np.nan
 
     def create_box_score(self):
         # have to run the pipeline before pulling this in

diff --git a/sportsdataverse/nfl/nfl_pbp.py b/sportsdataverse/nfl/nfl_pbp.py
@@ -4569,29 +4569,29 @@ def __process_qbr(self, play_df):
         )
 
         play_df["sack_epa"] = np.where(
-            play_df["non_fumble_sack"] == True, play_df["qbr_epa"], np.NaN
+            play_df["non_fumble_sack"] == True, play_df["qbr_epa"], np.nan
         )
         play_df["pass_epa"] = np.where(
-            play_df["pass"] == True, play_df["qbr_epa"], np.NaN
+            play_df["pass"] == True, play_df["qbr_epa"], np.nan
         )
         play_df["rush_epa"] = np.where(
-            play_df["rush"] == True, play_df["qbr_epa"], np.NaN
+            play_df["rush"] == True, play_df["qbr_epa"], np.nan
         )
         play_df["pen_epa"] = np.where(
-            play_df["penalty_flag"] == True, play_df["qbr_epa"], np.NaN
+            play_df["penalty_flag"] == True, play_df["qbr_epa"], np.nan
         )
 
         play_df["sack_weight"] = np.where(
-            play_df["non_fumble_sack"] == True, play_df["weight"], np.NaN
+            play_df["non_fumble_sack"] == True, play_df["weight"], np.nan
         )
         play_df["pass_weight"] = np.where(
-            play_df["pass"] == True, play_df["weight"], np.NaN
+            play_df["pass"] == True, play_df["weight"], np.nan
         )
         play_df["rush_weight"] = np.where(
-            play_df["rush"] == True, play_df["weight"], np.NaN
+            play_df["rush"] == True, play_df["weight"], np.nan
         )
         play_df["pen_weight"] = np.where(
-            play_df["penalty_flag"] == True, play_df["weight"], np.NaN
+            play_df["penalty_flag"] == True, play_df["weight"], np.nan
         )
 
         play_df["action_play"] = play_df.EPA != 0