retire deprecated code

yzhao062 · Dec 21, 2019 · c7b5a7d · c7b5a7d
1 parent 1df9354
commit c7b5a7d
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Showing 3 changed files with 27 additions and 29 deletions.
diff --git a/examples/temp_do_not_use/deprecated_functions.py b/examples/temp_do_not_use/deprecated_functions.py
@@ -1,7 +1,6 @@
 import matplotlib.pyplot as plt
 from matplotlib.lines import Line2D
 from sklearn.utils import check_X_y
-from pyod.utils.data import get_color_codes
 
 
 def visualize(clf_name, X_train, y_train, X_test, y_test, y_train_pred,
@@ -85,3 +84,30 @@ def visualize(clf_name, X_train, y_train, X_test, y_test, y_train_pred,
     if show_figure:
         plt.show()
     return
+
+
+def get_color_codes(y):
+    """Internal function to generate color codes for inliers and outliers.
+    Inliers (0): blue; Outlier (1): red.
+
+    Parameters
+    ----------
+    y : list or numpy array of shape (n_samples,)
+        The ground truth. Binary (0: inliers, 1: outliers).
+
+    Returns
+    -------
+    c : numpy array of shape (n_samples,)
+        Color codes.
+
+    """
+    y = column_or_1d(y)
+
+    # inliers are assigned blue
+    c = np.full([len(y)], 'b', dtype=str)
+    outliers_ind = np.where(y == 1)
+
+    # outlier are assigned red
+    c[outliers_ind] = 'r'
+
+    return c
diff --git a/pyod/utils/__init__.py b/pyod/utils/__init__.py
@@ -8,7 +8,6 @@
 from .utility import invert_order
 from .data import generate_data
 from .data import evaluate_print
-from .data import get_color_codes
 from .stat_models import pairwise_distances_no_broadcast
 from .stat_models import wpearsonr
 from .stat_models import pearsonr_mat
@@ -22,7 +21,6 @@
            'invert_order',
            'generate_data',
            'evaluate_print',
-           'get_color_codes',
            'pairwise_distances_no_broadcast',
            'wpearsonr',
            'pearsonr_mat']
diff --git a/pyod/utils/data.py b/pyod/utils/data.py
@@ -194,32 +194,6 @@ def generate_data(n_train=1000, n_test=500, n_features=2, contamination=0.1,
         return X_train, X_test, y_train, y_test
 
 
-def get_color_codes(y):
-    """Internal function to generate color codes for inliers and outliers.
-    Inliers (0): blue; Outlier (1): red.
-
-    Parameters
-    ----------
-    y : list or numpy array of shape (n_samples,)
-        The ground truth. Binary (0: inliers, 1: outliers).
-
-    Returns
-    -------
-    c : numpy array of shape (n_samples,)
-        Color codes.
-
-    """
-    y = column_or_1d(y)
-
-    # inliers are assigned blue
-    c = np.full([len(y)], 'b', dtype=str)
-    outliers_ind = np.where(y == 1)
-
-    # outlier are assigned red
-    c[outliers_ind] = 'r'
-
-    return c
-
 
 def check_consistent_shape(X_train, y_train, X_test, y_test, y_train_pred,
                            y_test_pred):