本文的目的是介绍python–在NetworkX中组合两个加权图的详细情况，特别关注networkx画加权图的相关信息。我们将通过专业的研究、有关数据的分析等多种方式，为您呈现一个全面的了解pytho

本文的目的是介绍python – 在NetworkX中组合两个加权图的详细情况，特别关注networkx画加权图的相关信息。我们将通过专业的研究、有关数据的分析等多种方式，为您呈现一个全面的了解python – 在NetworkX中组合两个加权图的机会，同时也不会遗漏关于CMake 不断从 cygwin python 中获取 Python，如何从 Windows 安装的 Python 中获取、Core Python | 2 - Core Python: Getting Started | 2.5 - Modularity | 2.5.5 - The Python Execution Mod、Error: Can‘t find Python executable “python“, you can set the PYTHON env variable、ERROR: Command "python setup.py egg_info" python-nss的知识。

• python – 在NetworkX中组合两个加权图（networkx画加权图）
• CMake 不断从 cygwin python 中获取 Python，如何从 Windows 安装的 Python 中获取
• Core Python | 2 - Core Python: Getting Started | 2.5 - Modularity | 2.5.5 - The Python Execution Mod
• Error: Can‘t find Python executable “python“, you can set the PYTHON env variable
• ERROR: Command "python setup.py egg_info" python-nss

python – 在NetworkX中组合两个加权图（networkx画加权图）

def combine_graphs(graph1,graph2,graph2_weight = 1):
    '''
    Given two graphs of different edge (but same node) structure (and the same type),combine the two graphs,summing all edge attributes and multiplying the second one's
    attributes by the desired weights. 

    E.g. if graph1.edge[a][b] = {'a': 1,'b':2} and 
    graph2.edge[a][b] = {'a': 3,'c': 4},with a weight of 1 the final graph edge should be 
    final_graph.edge[a][b] = {'a': 4,'b': 2,'c': 4} and with a weight 
    of .5 the final graph edge should be {'a': 2.5,'c': 2}.

    Inputs: Two graphs to be combined and a weight to give to the second graph
    '''

    if type(graph1) != type(graph2) or len(set(graph2.nodes()) - set(graph1.nodes())) > 0:
        raise Exception('Graphs must have the same type and graph 2 cannot have nodes that graph 1 does not have.')

    # make a copy of the new graph to ensure that it doesn't change
    new_graph = graph1.copy()

    # iterate over graph2's edges,adding them to graph1
    for node1,node2 in graph2.edges():
        # if that edge already exists,Now iterate over the attributes
        if new_graph.has_edge(node1,node2):
            for attr in graph2.edge[node1][node2]:
                # if that attribute exists,sum the values,otherwise,simply copy attrs
                if new_graph.edge[node1][node2].get(attr) is not None:
                    # try adding weighted value: if it fails,it's probably not numeric so add the full value (the only other option is a list)
                    try:
                        new_graph.edge[node1][node2][attr] += graph2.edge[node1][node2][attr] * graph2_weight
                    except:
                        new_graph.edge[node1][node2][attr] += graph2.edge[node1][node2][attr]
                else:
                    try:
                        new_graph.edge[node1][node2][attr] = graph2.edge[node1][node2][attr] * graph2_weight
                    except:
                        new_graph.edge[node1][node2][attr] = graph2.edge[node1][node2][attr]

        # otherwise,add the new edge with all its atributes -- first,iterate through those attributes to weight them
        else:
            attr_dict = graph2.edge[node1][node2]
            for item in attr_dict:
                try:
                    attr_dict[item] = attr_dict[item] * graph2_weight
                except:
                    continue
            new_graph.add_edge(node1,node2,attr_dict = attr_dict)

    return new_graph

def combined_graphs_edges(G,H,weight = 1.0):
    for u,v,hdata in H.edges_iter(data=True):
        # multply attributes of H by weight
        attr = dict( (key,value*weight) for key,value in hdata.items())
        # get data from G or use empty dict if no edge in G
        gdata = G[u].get(v,{})
        # add data from g
        # sum shared items
        shared = set(gdata) & set(hdata)
        attr.update(dict((key,attr[key] + gdata[key]) for key in shared))
        # non shared items
        non_shared = set(gdata) - set(hdata)
        attr.update(dict((key,gdata[key]) for key in non_shared))
        yield u,attr
    return


if __name__ == '__main__':
    import networkx as nx
    G = nx.Graph([('a','b',{'a': 1,'b':2})])
    H = nx.Graph([('a',{'a': 3,'c':4})])
    print list(combined_graphs_edges(G,weight=0.5))
    # or to make a new graph 
    graph = G.copy()
    graph.add_edges_from(combined_graphs_edges(G,weight=0.5))

CMake 不断从 cygwin python 中获取 Python，如何从 Windows 安装的 Python 中获取

如何解决CMake 不断从 cygwin python 中获取 Python，如何从 Windows 安装的 Python 中获取

我有一个看起来像这样的 CMake 脚本：

find_program(PYTHON_COMMAND NAMES python3 python)

问题是它检测到安装在 Cygwin 安装中的 python。 输出总是：

-- PYTHON_PATH:C:/cygwin64/bin/python3

我希望它取自：

c:\\python36-64\\python

在windows PATH变量中，Cygwin bin在路径的最后一个，windows安装在第一个 但它只检测到 Cygwin python，
怎么改？

Core Python | 2 - Core Python: Getting Started | 2.5 - Modularity | 2.5.5 - The Python Execution Mod

It's important to understand the Python execution model and precisely when function deFinitions and other important events occur when a module is imported or executed. Here, we show execution of our Python module as it's imported in a graphical debugging environment. We step through the top‑level statements in the module. What's important to realize here is that the def used for the fetch_words function isn't merely a declaration. It's actually a statement, which when executed in sequence with the other top‑level model scope code, causes the code within the function to be bound to the name of the function. When modules are imported or run, all of the top‑level statements are run, and this is the means by which the function within the module namespace are defined. We are sometimes asked about the difference between Python modules, Python scripts, and Python programs. Any .py file constitutes a Python module. But as we've seen, modules can be written for convenient import, convenient execution, or using the if dunder name = dunder main idiom, both. We strongly recommend making even simple scripts importable since it eases development and testing so much if you can access your code from within the REPL. Likewise, even modules, which are only ever meant to be imported in production settings, benefit from having executable test code. For this reason, nearly all modules we create have this form of defining one or more importable functions with a postscript to facilitate execution. Whether you consider a module to be a Python script or Python program is a matter of context and usage. It's certainly wrong to consider Python to be merely a scripting tool, in the vein of Windows batch files or UNIX Shell scripts, as many large and complex applications are built exclusively with python.

• def不仅仅是一个declaration声明，更是一条statement语句。它将其中的python代码于函数名绑定在一起
• 一个py文件就是一个模块，这个模块包含类或函数。你写python，要尽量将代码包装成函数和类，方便各种import
• 一个py文件也可看作是一个脚本，在系统命令行中运行
• python不仅仅是脚本语言，很多大型程序都是用python构建的

Error: Can‘t find Python executable “python“, you can set the PYTHON env variable

在启动vue项目的时候，安装node.js组件node-sass过程中报错了，错误提示如下
Error: Can’t find Python executable “python”, you can set the PYTHON env variable

由错误提示可知：Node.js 在安装模块组件node-sass的时候，node.js缺少Visual Studio2015 Build Tools相关的组件和python的环境，如果安装了vs2015组件的小伙伴们就不用安装Visual Studio2015 Build Tools相应的组件，只用安装python2.7即可解决缺少的python组件的问题。

欲安装python2.7，请至python官网：www.python.org 下载，然后配置好python的环境变量即可。

不过博主我并不推荐上述的解决方案，因为对于程序员来说，效率第一，上述的问题一个命令就可以轻松解决你所遇到的麻烦，前面说了那么多，无非就是想告诉在看本篇博客的同仁们放下浮躁的心，遇到问题首先不是急着去解决问题，而是分析为什么会这样，然后才能水到聚成的去找到解决问题的方法。

运行下面这个命令即可解决你们遇到的Error问题

npm install --global --production windows-build-tools

注：上面讲述了一堆就是为了讲述此命令是干嘛的，上面已经描述很详细了，就不再赘述了，该操作与上述的一堆操作无异，效果却是一样的。

然后运气不好的小伙伴可能接着会遇到一个坑，那就是执行了：npm install --global --production windows-build-tools这个命令的人细心点会发现执行到一半就卡住了，这个卡住了没有红字重点提示，而且下方还有英文在等待中，粗心的小伙伴可能以为是命令执行完了，组件安装好了，其实不然，我这边已经解决了，就无法复现了，具体点就是中文的提示，提示我们由于有类似组件在运行或者下载导致无法继续下载安装组件了。稳妥点的解决办法是，将电脑重启，将底层正在运行的模块干掉，待电脑重启后再执行npm install --global --production windows-build-tools这条命令即可，博主我就是这样解决的，稳稳的幸福就会浮现在你面前如下图所示，你的可能和我不一样，因为我已经跑成功过一次了，没有你的那么多细节的log打印。

然后就是在你的项目下shift+鼠标右击你的项目运行npm run dev即可启动vue项目了。

ERROR: Command "python setup.py egg_info" python-nss

[root@localhost ~]# pip install python-nss

DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won''t be maintained after that date. A future version of pip will drop support for Python 2.7.
Looking in indexes: http://pypi.douban.com/simple
Collecting python-nss
  Downloading http://pypi.doubanio.com/packages/6b/29/629098e34951c358b1f04f13a70b3590eb0cf2df817d945bd05c4169d71b/python-nss-1.0.1.tar.bz2 (222kB)
     |████████████████████████████████| 225kB 31kB/s 
    ERROR: Complete output from command python setup.py egg_info:
    ERROR: Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-install-JGnrT5/python-nss/setup.py", line 409, in <module>
        sys.exit(main(sys.argv))
      File "/tmp/pip-install-JGnrT5/python-nss/setup.py", line 333, in main
        nss_include_dir  = find_include_dir([''nss3'', ''nss''],   [''nss.h'',  ''pk11pub.h''], include_roots=include_roots)
      File "/tmp/pip-install-JGnrT5/python-nss/setup.py", line 94, in find_include_dir
        raise ValueError("unable to locate include directory containing header files %s" % include_files)

    ValueError: unable to locate include directory containing header files [''nss.h'', ''pk11pub.h'']

ERROR: Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-install-JGnrT5/python-nss/

查看错误日志缺少头文件

进入python-nss官网，写着To build python-nss you the C language header files and libraries for both NSPR and NSS will need to be installed. This is system and distribution specific, as such we cannot give you explicit instructions. On Linux typically these packages are called:

• nss-devel
• nspr-devel

yum install nss-devel -y

yum install nspr-devel -y

我们今天的关于python – 在NetworkX中组合两个加权图和networkx画加权图的分享就到这里，谢谢您的阅读，如果想了解更多关于CMake 不断从 cygwin python 中获取 Python，如何从 Windows 安装的 Python 中获取、Core Python | 2 - Core Python: Getting Started | 2.5 - Modularity | 2.5.5 - The Python Execution Mod、Error: Can‘t find Python executable “python“, you can set the PYTHON env variable、ERROR: Command "python setup.py egg_info" python-nss的相关信息，可以在本站进行搜索。