关于python：为什么conda安装tk在我的docker容器中不起作用，即使它说它已安装？

Why does conda install tk not work in my docker container even though it says its installed?

我在我的python 3 docker容器中遇到了tk的问题。

我试过了：

1	conda install tk

但它说它确实安装了它

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root@36602e2cd649:/home_simulation_research/overparametrized_experiments/pytorch_experiments# conda install tk
Fetching package metadata ...........
Solving package specifications: .

# All requested packages already installed.
# packages in environment at /opt/conda:
#
tk 8.6.7 h5979e9b_1

但是当我去python并尝试导入它时它不起作用：

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>>> import Tkinter
Traceback (most recent call last):
File"<stdin>", line 1, in <module>
ImportError: No module named 'Tkinter'

和其他错误：

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>>> import tkinter
Traceback (most recent call last):
File"<stdin>", line 1, in <module>
File"/opt/conda/envs/pytorch-py35/lib/python3.5/tkinter/__init__.py", line 35, in <module>
import _tkinter # If this fails your Python may not be configured for Tk
ImportError: libX11.so.6: cannot open shared object file: No such file or directory

当我运行需要它的脚本时：

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Traceback (most recent call last):
File"bulk_experiment_dispatcher.py", line 18, in <module>
from data_file import *
File"/home_simulation_research/overparametrized_experiments/pytorch_experiments/data_file.py", line 16, in <module>
import matplotlib.pyplot as plt
File"/opt/conda/envs/pytorch-py35/lib/python3.5/site-packages/matplotlib/pyplot.py", line 115, in <module>
_backend_mod, new_figure_manager, draw_if_interactive, _show = pylab_setup()
File"/opt/conda/envs/pytorch-py35/lib/python3.5/site-packages/matplotlib/backends/__init__.py", line 32, in pylab_setup
globals(),locals(),[backend_name],0)
File"/opt/conda/envs/pytorch-py35/lib/python3.5/site-packages/matplotlib/backends/backend_tkagg.py", line 6, in <module>
from six.moves import tkinter as Tk
File"/opt/conda/envs/pytorch-py35/lib/python3.5/site-packages/six.py", line 92, in __get__
result = self._resolve()
File"/opt/conda/envs/pytorch-py35/lib/python3.5/site-packages/six.py", line 115, in _resolve
return _import_module(self.mod)
File"/opt/conda/envs/pytorch-py35/lib/python3.5/site-packages/six.py", line 82, in _import_module
__import__(name)
File"/opt/conda/envs/pytorch-py35/lib/python3.5/tkinter/__init__.py", line 35, in <module>
import _tkinter # If this fails your Python may not be configured for Tk
ImportError: libX11.so.6: cannot open shared object file: No such file or directory

我尝试了apt-get install python-tk(来自安装tkinter for Python)，但它不起作用：

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root@36602e2cd649:/home_simulation_research/overparametrized_experiments/pytorch_experiments# apt-get install python-tk
Reading package lists... Done
Building dependency tree
Reading state information... Done
E: Unable to locate package python-tk

我尝试运行ENTERYPOINT作为建议的答案之一，但它又给我一些错误：

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/path/fake_gui.sh: 8: /home_simulation_research/overparametrized_experiments/docker_files/runtime/fake_gui.sh: source: not found
/path/fake_gui.sh: 12: /home_simulation_research/overparametrized_experiments/docker_files/runtime/fake_gui.sh: function: not found
/path/fake_gui.sh: 13: kill: invalid signal number or name: SIGTERM
/path/fake_gui.sh: 15: /home_simulation_research/overparametrized_experiments/docker_files/runtime/fake_gui.sh: Syntax error:"}" unexpected

但不知道该怎么办......

有用的问题：

如何在我的docker镜像中安装python-tk

好吧，所以一旦我在图像中放置一个虚拟屏幕，它就会停止崩溃：

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RUN apt-get update
RUN apt-get install -y xvfb
#RUN Xvfb :1 -screen 0 1024x768x16 &> xvfb.log &

当我运行我的码头图像。

您需要使用已安装并运行虚拟帧缓冲区的Docker容器。

这篇博客文章解释了将X11放入docker容器的"为什么和如何"。

您可以通过entry_point.sh了解他们如何在Selenium Docker容器中执行此操作：

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#!/bin/bash
#
# IMPORTANT: Change this file only in directory Standalone!

source /opt/bin/functions.sh

export GEOMETRY="$SCREEN_WIDTH""x""$SCREEN_HEIGHT""x""$SCREEN_DEPTH"

function shutdown {
kill -s SIGTERM $NODE_PID
wait $NODE_PID
}

if [ ! -z"$SE_OPTS" ]; then
echo"appending selenium options: ${SE_OPTS}"
fi

SERVERNUM=$(get_server_num)

rm -f /tmp/.X*lock

xvfb-run -n $SERVERNUM --server-args="-screen 0 $GEOMETRY -ac +extension RANDR" \
java ${JAVA_OPTS} -jar /opt/selenium/selenium-server-standalone.jar \
${SE_OPTS} &
NODE_PID=$!

trap shutdown SIGTERM SIGINT
wait $NODE_PID

上面代码的源代码来自GitHub上的这个存储库，SeleniumHQ / docker-selenium。