lint

Author: sdpython

mlinsights/plotting/visualize.py

@@ -220,7 +220,8 @@ def pipeline2dot(pipe, data, **params):
     elif isinstance(raw_data, numpy.ndarray):
         if len(raw_data.shape) != 2:
             raise NotImplementedError(  # pragma: no cover
-                "Unexpected training data dimension: {}.".format(data.shape))
+                "Unexpected training data dimension: {}.".format(
+                    data.shape))  # pylint: disable=E1101
         for i in range(raw_data.shape[1]):
             data['X%d' % i] = 'sch0:f%d' % i
     elif not isinstance(raw_data, list):

mlinsights/timeseries/plotting.py

@@ -91,8 +91,10 @@ def coor(ti):
             maxx = (x1, x1 + input_maxy)
             maxy = (y1, y2)
         else:
-            maxx = (min(x1, maxx[0]), max(x1 + input_maxy, maxx[1]))
-            maxy = (min(y1, maxy[0]), max(y2, maxy[1]))
+            maxx = (min(x1, maxx[0]),  # pylint: disable=E1136
+                    max(x1 + input_maxy, maxx[1]))  # pylint: disable=E1136
+            maxy = (min(y1, maxy[0]),  # pylint: disable=E1136
+                    max(y2, maxy[1]))  # pylint: disable=E1136
 
         rect = patches.Rectangle((x1, y1), value[i] * h, y2 - y1,
                                  linewidth=1, edgecolor=None,