clear Pandas .loc warning

queries/process_gsm.py

@@ -232,8 +232,8 @@ def gsm_analaysis(file_path: str):
     df_site_per_bsc = gsm_df[["BSC", "code"]]
     df_site_per_bsc = df_site_per_bsc.drop_duplicates(subset=["code"], keep="first")
 
-    df_site_per_lac = gsm_df[["BSC", "locationAreaIdLAC", "code"]]
-    df_site_per_lac["code_lac"] = (
+    df_site_per_lac = gsm_df.loc[:, ["BSC", "locationAreaIdLAC", "code"]].copy()
+    df_site_per_lac.loc[:, "code_lac"] = (
         df_site_per_lac["code"].astype(str)
         + "_"
         + df_site_per_lac["locationAreaIdLAC"].astype(str)
@@ -285,13 +285,13 @@ def gsm_analaysis(file_path: str):
     # Add "BSC_" and "LAC_" prefix to LAC column
     GsmAnalysisData.number_of_cell_per_lac["LAC"] = (
         "LAC_" + GsmAnalysisData.number_of_cell_per_lac["LAC"].astype(str)
-    )
+    ).str.replace(".0", "")
 
     GsmAnalysisData.number_of_cell_per_lac["BSC_NAME_ID"] = (
         GsmAnalysisData.number_of_cell_per_lac[["BSC_NAME", "BSC"]]
         .astype(str)
         .apply("_".join, axis=1)
-    )
+    ).str.replace(".0", "")
 
     GsmAnalysisData.number_of_cell_per_lac = GsmAnalysisData.number_of_cell_per_lac[
         ["BSC_NAME_ID", "LAC", "count"]
@@ -316,12 +316,12 @@ def gsm_analaysis(file_path: str):
     # Add "BSC_" and "LAC_" prefix to LAC column
     GsmAnalysisData.number_of_site_per_lac["LAC"] = (
         "LAC_" + GsmAnalysisData.number_of_site_per_lac["LAC"].astype(str)
-    )
+    ).str.replace(".0", "")
     GsmAnalysisData.number_of_site_per_lac["BSC_NAME_ID"] = (
         GsmAnalysisData.number_of_site_per_lac[["BSC_NAME", "BSC"]]
         .astype(str)
         .apply("_".join, axis=1)
-    )
+    ).str.replace(".0", "")
     GsmAnalysisData.number_of_site_per_lac = GsmAnalysisData.number_of_site_per_lac[
         ["BSC_NAME_ID", "LAC", "count"]
     ]

queries/process_wcdma.py

@@ -244,8 +244,8 @@ def wcdma_analaysis(
     df_site_per_rnc = wcdma_df[["RNC", "code"]]
     df_site_per_rnc = df_site_per_rnc.drop_duplicates(subset=["code"], keep="first")
 
-    df_site_per_lac = wcdma_df[["RNC", "LAC", "code"]]
-    df_site_per_lac["code_lac"] = (
+    df_site_per_lac = wcdma_df.loc[:, ["RNC", "LAC", "code"]].copy()
+    df_site_per_lac.loc[:, "code_lac"] = (
         df_site_per_lac["code"].astype(str) + "_" + df_site_per_lac["LAC"].astype(str)
     )
     df_site_per_lac = df_site_per_lac.drop_duplicates(subset=["code_lac"], keep="first")