Fix I4: drop row with "" on locataire ans Période

pdf_oralia/pages/charge.py

@@ -83,6 +83,5 @@ def table2df(tables):
     df = pd.concat(dfs)
 
     df["immeuble"] = df["immeuble"].apply(lambda x: x[0].capitalize())
-    print(df.columns)
     df["lot"] = df["RECAPITULATIF DES OPERATIONS"].apply(get_lot)
-    return df.astype(DF_TYPES, errors="ignore")
+    return df.astype(DF_TYPES)

pdf_oralia/pages/locataire.py

@@ -1,3 +1,4 @@
+import numpy as np
 import pandas as pd
 
 DF_TYPES = {
@@ -33,7 +34,7 @@ def is_drop(row):
 
 
 def extract(table, additionnal_fields: dict = {}):
-    """Turn table to dictionary with additionnal fields"""
+    """Turn table to dictionary with additional fields"""
     extracted = []
     header = table[0]
     for row in table[1:]:
@@ -138,8 +139,6 @@ def join_row(table):
                     }
                 )
                 joined.append(row)
-            else:
-                pass
 
     return joined
 
@@ -159,4 +158,9 @@ def table2df(tables):
     df["immeuble"] = df["immeuble"].apply(lambda x: x[0].capitalize())
     df["Type"] = df["Type"].apply(clean_type)
 
-    return df.astype(DF_TYPES, errors="ignore")
+    numeric_cols = [k for k, v in DF_TYPES.items() if v == float]
+    df[numeric_cols] = df[numeric_cols].replace("", np.nan)
+
+    df = df.drop(df[(df["Locataires"] == "") & (df["Période"] == "")].index)
+
+    return df.astype(DF_TYPES)