Merge pull request matplotlib#19181 from timhoffm/remove-unused-imports#

Remove unused imports

Author: dstansby

lib/matplotlib/backends/backend_nbagg.py

@@ -17,7 +17,7 @@
     # Jupyter/IPython 3.x or earlier
     from IPython.kernel.comm import Comm
 
-from matplotlib import cbook, is_interactive
+from matplotlib import is_interactive
 from matplotlib._pylab_helpers import Gcf
 from matplotlib.backend_bases import _Backend, NavigationToolbar2
 from matplotlib.backends.backend_webagg_core import (

lib/matplotlib/backends/backend_qt5.py

@@ -1,7 +1,6 @@
 import functools
 import importlib
 import os
-import re
 import signal
 import sys
 import traceback

lib/matplotlib/image.py

@@ -6,7 +6,6 @@
 import math
 import os
 import logging
-from numbers import Number
 from pathlib import Path
 
 import numpy as np

lib/mpl_toolkits/axisartist/axislines.py

@@ -41,7 +41,7 @@
 
 import numpy as np
 
-from matplotlib import _api, cbook, rcParams
+from matplotlib import _api, rcParams
 import matplotlib.axes as maxes
 from matplotlib.path import Path
 from mpl_toolkits.axes_grid1 import mpl_axes

lib/mpl_toolkits/mplot3d/axes3d.py

@@ -12,20 +12,16 @@
 
 from collections import defaultdict
 import functools
-from functools import reduce
-from itertools import compress
+import itertools
 import math
 import textwrap
 
 import numpy as np
 
-from matplotlib import artist
-from matplotlib import _api
+from matplotlib import _api, artist, cbook, docstring
 import matplotlib.axes as maxes
-import matplotlib.cbook as cbook
 import matplotlib.collections as mcoll
 import matplotlib.colors as mcolors
-import matplotlib.docstring as docstring
 import matplotlib.scale as mscale
 import matplotlib.container as mcontainer
 import matplotlib.transforms as mtransforms
@@ -2709,7 +2705,7 @@ def calc_arrows(UVW, angle=15):
         masks = bcast[argi:]
         if masks:
             # combine the masks into one
-            mask = reduce(np.logical_or, masks)
+            mask = functools.reduce(np.logical_or, masks)
             # put mask on and compress
             input_args = [np.ma.array(k, mask=mask).compressed()
                           for k in input_args]
@@ -3202,7 +3198,7 @@ def errorbar(self, x, y, z, zerr=None, yerr=None, xerr=None, fmt='',
         def _apply_mask(arrays, mask):
             # Return, for each array in *arrays*, the elements for which *mask*
             # is True, without using fancy indexing.
-            return [[*compress(array, mask)] for array in arrays]
+            return [[*itertools.compress(array, mask)] for array in arrays]
 
         def _extract_errs(err, data, lomask, himask):
             # For separate +/- error values we need to unpack err