chore(flake8): remove redundant noqa statements

examples/flight_delays.py

@@ -1,4 +1,3 @@
-# flake8: noqa
 import pandas as pd
 
 import popmon

examples/synthetic_data.py

@@ -1,4 +1,3 @@
-# flake8: noqa
 import pandas as pd
 
 import popmon

popmon/__init__.py

@@ -25,7 +25,6 @@
     make_histograms,
 )
 
-# flake8: noqa
 # pandas/spark dataframe decorators
 from popmon import decorators
 

popmon/analysis/apply_func.py

@@ -283,9 +283,9 @@ def apply_func(feature, selected_metrics, df, arr):
 
     if (
         "entire" in arr
-        and arr["entire"] is not None  # noqa: W503
-        and arr["entire"] is not False  # noqa: W503
-        and arr["entire"] != 0  # noqa: W503
+        and arr["entire"] is not None
+        and arr["entire"] is not False
+        and arr["entire"] != 0
     ):
         obj = func(df, *args, **kwargs)
     else:
@@ -302,48 +302,48 @@ def apply_func(feature, selected_metrics, df, arr):
         obj = {"_".join(df.columns): obj}
     elif (
         isinstance(obj, (list, tuple, np.ndarray))
-        and isinstance(df, pd.DataFrame)  # noqa: W503
-        and len(df.columns) == len(obj)  # noqa: W503
+        and isinstance(df, pd.DataFrame)
+        and len(df.columns) == len(obj)
     ):
         obj = {c: o for c, o in zip(df.columns, obj)}
     elif (
         isinstance(obj, (list, tuple, np.ndarray))
-        and isinstance(df, pd.Series)  # noqa: W503
-        and len(df.index) == len(obj)  # noqa: W503
+        and isinstance(df, pd.Series)
+        and len(df.index) == len(obj)
     ):
         obj = {df.name: pd.Series(data=obj, index=df.index)}
     elif (
         isinstance(obj, (list, tuple, np.ndarray))
-        and isinstance(df, pd.DataFrame)  # noqa: W503
-        and len(df.index) == len(obj)  # noqa: W503
+        and isinstance(df, pd.DataFrame)
+        and len(df.index) == len(obj)
     ):
         obj = {"_".join(df.columns): pd.Series(data=obj, index=df.index)}
     elif (
         isinstance(obj, pd.Series)
-        and isinstance(df, pd.Series)  # noqa: W503
-        and len(obj) == len(df)  # noqa: W503
-        and all(obj.index == df.index)  # noqa: W503
+        and isinstance(df, pd.Series)
+        and len(obj) == len(df)
+        and all(obj.index == df.index)
     ):
         obj = {df.name: obj}
     elif (
         isinstance(obj, pd.Series)
-        and isinstance(df, pd.DataFrame)  # noqa: W503
-        and len(obj) == len(df)  # noqa: W503
-        and all(obj.index == df.index)  # noqa: W503
+        and isinstance(df, pd.DataFrame)
+        and len(obj) == len(df)
+        and all(obj.index == df.index)
     ):
         obj = {"_".join(df.columns): obj}
     elif (
         isinstance(obj, pd.DataFrame)
-        and len(obj.columns) == 1  # noqa: W503
-        and len(obj.index) != len(df.index)  # noqa: W503
+        and len(obj.columns) == 1
+        and len(obj.index) != len(df.index)
     ):
         # e.g. output of normalized_hist_mean_cov: a dataframe with one column, actually a series
         obj = obj[obj.columns[0]].to_dict()
     elif (
         isinstance(obj, pd.DataFrame)
-        and len(obj.columns) == 1  # noqa: W503
-        and len(obj.index) == len(df.index)  # noqa: W503
-        and (obj.index != df.index).any()  # noqa: W503
+        and len(obj.columns) == 1
+        and len(obj.index) == len(df.index)
+        and (obj.index != df.index).any()
     ):
         # e.g. output of normalized_hist_mean_cov: a dataframe with one column, actually a series
         obj = obj[obj.columns[0]].to_dict()

popmon/config.py

@@ -47,11 +47,11 @@
     "chi2_pvalue": "p-value of the chi-squared statistic, comparing each time slot with {ref}",
     "chi2_zscore": "Z-score of the chi-squared statistic, comparing each time slot with {ref}",
     "chi2_max_residual": "The largest absolute normalized residual (|chi|) observed in all bin pairs "
-    + "(one histogram in a time slot and one in {ref})",  # noqa: W503
+    + "(one histogram in a time slot and one in {ref})",
     "chi2_spike_count": "The number of normalized residuals of all bin pairs (one histogram in a time"
-    + " slot and one in {ref}) with absolute value bigger than a given threshold (default: 7).",  # noqa: W503
+    + " slot and one in {ref}) with absolute value bigger than a given threshold (default: 7).",
     "max_prob_diff": "The largest absolute difference between all bin pairs of two normalized "
-    + "histograms (one histogram in a time slot and one in {ref})",  # noqa: W503
+    + "histograms (one histogram in a time slot and one in {ref})",
     "unknown_labels": "Are categories observed in a given time slot that are not present in {ref}?",
 }
 

tests/popmon/visualization/test_report_generator.py

@@ -53,5 +53,5 @@ def test_report_generator():
     assert "final_report" in datastore
     assert (
         isinstance(datastore["final_report"], str)
-        and len(datastore["final_report"]) > 0  # noqa: W503
+        and len(datastore["final_report"]) > 0
     )