1 files changed, 0 insertions, 72 deletions
diff --git a/silx/gui/plot/items/_pick.py b/silx/gui/plot/items/_pick.py
deleted file mode 100644
index 8c8e781..0000000
--- a/silx/gui/plot/items/_pick.py
+++ /dev/null
@@ -1,72 +0,0 @@
-# coding: utf-8
-# /*##########################################################################
-#
-# Copyright (c) 2019-2020 European Synchrotron Radiation Facility
-#
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitation the rights
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-# copies of the Software, and to permit persons to whom the Software is
-# furnished to do so, subject to the following conditions:
-#
-# The above copyright notice and this permission notice shall be included in
-# all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-# THE SOFTWARE.
-#
-# ###########################################################################*/
-"""This module provides classes supporting item picking."""
-
-__authors__ = ["T. Vincent"]
-__license__ = "MIT"
-__date__ = "04/06/2019"
-
-import numpy
-
-
-class PickingResult(object):
-    """Class to access picking information in a :class:`PlotWidget`"""
-
-    def __init__(self, item, indices=None):
-        """Init
-
-        :param item: The picked item
-        :param numpy.ndarray indices: Array-like of indices of picked data.
-            Either 1D or 2D with dim0: data dimension and dim1: indices.
-            No copy is made.
-        """
-        self._item = item
-
-        if indices is None or len(indices) == 0:
-            self._indices = None
-        else:
-            # Indices is set to None if indices array is empty
-            indices = numpy.array(indices, copy=False, dtype=numpy.int64)
-            self._indices = None if indices.size == 0 else indices
-
-    def getItem(self):
-        """Returns the item this results corresponds to."""
-        return self._item
-
-    def getIndices(self, copy=True):
-        """Returns indices of picked data.
-
-        If data is 1D, it returns a numpy.ndarray, otherwise
-        it returns a tuple with as many numpy.ndarray as there are
-        dimensions in the data.
-
-        :param bool copy: True (default) to get a copy,
-            False to return internal arrays
-        :rtype: Union[None,numpy.ndarray,List[numpy.ndarray]]
-        """
-        if self._indices is None:
-            return None
-        indices = numpy.array(self._indices, copy=copy)
-        return indices if indices.ndim == 1 else tuple(indices)