我下载了Graphviz 2.38 MSI版本,安装在C:\Python34文件夹下,然后运行pip安装Graphviz,一切顺利。在系统路径中我添加了C:\Python34\bin。当我试图运行一个测试脚本,在行filename= .render(filename='test'),我得到了一个消息

 RuntimeError: failed to execute ['dot', '-Tpdf', '-O', 'test'], make sure the Graphviz executables are on your systems' path

我尝试将“C:\Python34\bin\dot.exe”放在系统路径中,但它不起作用,我甚至创建了一个新的环境变量“GRAPHVIZ_DOT”,其值为“C:\Python34\bin\dot.exe”,仍然不起作用。我尝试卸载Graphviz和pip uninstall Graphviz,然后重新安装它和pip install,但没有任何工作。

整个回溯消息是:

Traceback (most recent call last):
  File "C:\Python34\lib\site-packages\graphviz\files.py", line 220, in render
    proc = subprocess.Popen(cmd, startupinfo=STARTUPINFO)
  File "C:\Python34\lib\subprocess.py", line 859, in __init__
    restore_signals, start_new_session)
  File "C:\Python34\lib\subprocess.py", line 1112, in _execute_child
    startupinfo)
FileNotFoundError: [WinError 2] The system cannot find the file specified

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Documents\Kissmetrics\curves and lines\eventNodes.py", line 56, in <module>
    filename=dot.render(filename='test')
  File "C:\Python34\lib\site-packages\graphviz\files.py", line 225, in render
    'are on your systems\' path' % cmd)
RuntimeError: failed to execute ['dot', '-Tpdf', '-O', 'test'], make sure the Graphviz executables are on your systems' path

有人有经验吗?


当前回答

对于windows,这两个命令适用于我,在以管理员身份运行的power shell中。

PIP安装graphviz Choco安装graphviz

其他回答

尝试conda install graphviz。我也遇到了同样的问题,我在MacOS中使用上述命令解决了它。

在Windows环境下,使用巧克力安装,它将确保环境变量设置正确。

choco install graphviz

当我第一次安装pydot和graphviz时,它显示了错误,但下面的命令对我有用:

import os
os.environ["PATH"] += os.pathsep + r'C:\Users\vivek\Downloads\graphviz-2.44.1-win32\Graphviz\bin'

试着用python来做这个 导入系统 conda install——yes——prefix {sys. exe前缀}graphviz 进口graphviz

1) Graphviz -在系统的特定位置下载解压缩(pip在windows中不起作用),并在每个程序中手动设置的路径(' set environment variables in windows ' OR)中包含bin文件夹

import os
os.environ["PATH"] += os.pathsep + 'C:/GraphViz/bin'

2)然后将模型放到图中

clf = xgb.train(params, d_train, 1000, evals=evallist, early_stopping_rounds=10)
xgb.plot_tree(clf)
plt.rcParams['figure.figsize'] = [50, 10]
plt.show()