8000 Merge pull request #19181 from timhoffm/remove-unused-imports# · matplotlib/matplotlib@a8f52d9 · GitHub
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Merge pull request #19181 from timhoffm/remove-unused-imports#
Remove unused imports
2 parents 490428c + bc03bb3 commit a8f52d9

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5 files changed

+6
-12
lines changed

5 files changed

+6
-12
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‎lib/matplotlib/backends/backend_nbagg.py

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

‎lib/matplotlib/backends/backend_qt5.py

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

‎lib/matplotlib/image.py

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

‎lib/mpl_toolkits/axisartist/axislines.py

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

‎lib/mpl_toolkits/mplot3d/axes3d.py

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

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