lint

src/ensae_projects/datainc/croix_rouge.py

@@ -93,7 +93,7 @@ def get_meaning(table="invoice", password=None):
         df = decrypt_dataframe(name, password=password)
         df.columns = [_.strip() for _ in df.columns]
         for c in df.columns:
-            df[c] = df[c].apply(lambda s: s.strip())
+            df[c] = df[c].apply(lambda s: s.strip())  # pylint: disable=E1101,E1137
         df.columns = ["Zone"] + list(df.columns[1:])
         return df
     if table in {"ITMMASTER", "SINVOICE", "SINVOICE_V", "stojou"}:
@@ -103,10 +103,10 @@ def get_meaning(table="invoice", password=None):
                                sep="," if "stojou" in table else "\t")
         if table in "ITMMASTER":
             df["Zone"] = df.index + 1
-            df["Zone"] = df.Zone.apply(lambda x: "ITM_%03d" % x)
+            df["Zone"] = df.Zone.apply(lambda x: "ITM_%03d" % x)  # pylint: disable=E1101,E1137
         df.columns = [_.strip() for _ in df.columns]
         # we remove column always null
-        df = df.dropna(axis=1, how='all')
+        df = df.dropna(axis=1, how='all')  # pylint: disable=E1101
         return df
     raise ProjectDataException(
         "unable to find information about table {0}".format(table))

src/ensae_projects/datainc/data_cresus.py

@@ -233,12 +233,12 @@ def split_train_test_cresus_data(tables, outfold, ratio=0.20, fLOG=fLOG):  # pyl
                 else:
                     raise Exception("unexpected: {0}".format(k))
                 try:
-                    spl = data[key].apply(lambda x, ens=select: x in ens)
+                    spl = data[key].apply(lambda x, ens=select: x in ens)  # pylint: disable=E1136
                 except KeyError as e:
                     raise Exception("issue for table '{0}' and columns={1}".format(
-                        k, data.columns)) from e
-                train_tables[k] = data[spl].copy()
-                test_tables[k] = data[~spl].copy()
+                        k, data.columns)) from e  # pylint: disable=E1101
+                train_tables[k] = data[spl].copy()  # pylint: disable=E1136
+                test_tables[k] = data[~spl].copy()  # pylint: disable=E1136
             fLOG("[split_train_test_cresus_data] split for", k,
                  train_tables[k].shape, test_tables[k].shape)
 

src/ensae_projects/hackathon/image_knn.py

@@ -191,7 +191,7 @@ def kneighbors_graph(self, X=None, n_neighbors=None, mode='connectivity', fLOG=N
         """
         return self._private_kn("kneighbors_graph", X=X, n_neighbors=n_neighbors, mode=mode, fLOG=fLOG)
 
-    def radius_neighbors(self, X=None, radius=None, return_distance=True, fLOG=None):  # pylint: disable=W0221
+    def radius_neighbors(self, X=None, radius=None, return_distance=True, fLOG=None):  # pylint: disable=W0221,W0237
         """
         See :epkg:`NearestNeighbors`, method :epkg:`radius_neighbors`.
         Parameter *X* can be a file, the image is then loaded and converted