fix(docs): fix docs of clean_df

fix(docs): fix docs of clean_df fix(docs): fix docs of clean_df fix(docs): fix docs of clean_df
sfu-db · Apr 21, 2021 · 38dd4b2 · 38dd4b2
1 parent 8b0b253
commit 38dd4b2
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Showing 2 changed files with 15 additions and 4 deletions.
diff --git a/dataprep/clean/__init__.py b/dataprep/clean/__init__.py
@@ -25,6 +25,8 @@
 
 from .clean_currency import clean_currency, validate_currency
 
+from .clean_df import clean_df
+
 
 __all__ = [
     "clean_lat_long",
@@ -47,4 +49,5 @@
     "clean_duplication",
     "clean_currency",
     "validate_currency",
+    "clean_df",
 ]
diff --git a/dataprep/clean/clean_df.py b/dataprep/clean/clean_df.py
@@ -2,6 +2,9 @@
 Conduct a set of operations that would be useful for
 cleaning and standardizing a full Pandas DataFrame.
 """
+# pylint: disable-msg=relative-beyond-top-level
+# pylint: disable-msg=cyclic-import
+
 import operator
 from typing import Dict, Any, Union, Tuple
 
@@ -12,10 +15,14 @@
 
 # from ..eda.progress_bar import ProgressBar
 
-from dataprep.clean import validate_email, validate_country, validate_phone
-from dataprep.clean import validate_url, validate_lat_long, validate_ip
-from dataprep.clean import validate_address, clean_headers
-
+from .clean_email import validate_email
+from .clean_country import validate_country
+from .clean_phone import validate_phone
+from .clean_url import validate_url
+from .clean_lat_long import validate_lat_long
+from .clean_ip import validate_ip
+from .clean_address import validate_address
+from .clean_headers import clean_headers
 from .utils import NULL_VALUES
 
 
@@ -91,6 +98,7 @@ def clean_df(
     # pylint: disable=too-many-arguments
     # pylint: disable-msg=too-many-locals
     # pylint:disable=too-many-branches
+    # type: ignore
 
     if data_type_detection not in {"semantic", "atomic", "none"}:
         raise ValueError(