I'm using django-filter and django-pure-pagination extensions class BuyFilterView(PaginationMixin, FilterView): filterset_class = ProductFilter template_name = "buy_filter.html" context_object_name = "goods" paginate_by = 50 def get_context_data(self, **kwargs): context = super(BuyFilterView, self).get_context_data(**kwargs) context['cart'] = Cart.objects
我正在使用django-filter和django-pure-pagination扩展 class BuyFilterView(PaginationMixin, FilterView): filterset_class = ProductFilter template_name = "buy_filter.html" context_object_name = "goods" paginate_by = 50 def get_context_data(self, **kwargs): context = super(BuyFilterView, self).get_context_data(**kwargs) context['cart'] = Cart.objects.get(user=self
I have bunch of YAML files in a config folder and bunch of templates in a template folder. Is there a simple one liner or function that I can use to resolve YAML files and substitute in the template files to generate executable scripts Inputs: config folder: config/yaml1 , config/yaml2 , config/yaml3. . template: template/template1 , template/template2 , template3 . Output scripts/scr
我有一堆YAML文件在一个配置文件夹和模板文件夹中的一堆模板。 是否有一个简单的单行程序或函数可用于解析YAML文件并替换模板文件以生成可执行脚本 输入： config文件夹： config/yaml1 ， config/yaml2 ， config/yaml3. 。 模板： template/template1 ， template/template2 ， template3 。 产量 scripts/script1 ， script2 ， script3 脚本的数量=模板的数量 有2种类型的模板 一个是直截了当的替代例子 Y
I'm writing a Python application that takes as a command as an argument, for example: $ python myapp.py command1 I want the application to be extensible, that is, to be able to add new modules that implement new commands without having to change the main application source. The tree looks something like: myapp/ __init__.py commands/ __init__.py command1.py
我正在编写一个以命令作为参数的Python应用程序，例如： $ python myapp.py command1 我希望应用程序是可扩展的，也就是说，能够添加实现新命令的新模块，而不必更改主应用程序源。 树看起来像这样： myapp/ __init__.py commands/ __init__.py command1.py command2.py foo.py bar.py 所以我希望应用程序在运行时找到可用的命令模块并执行相应的命令模块。 目前这实现了如下内
How do I learn where the source file for a given Python module is installed? Is the method different on Windows than on Linux? I'm trying to look for the source of the datetime module in particular, but I'm interested in a more general answer as well. For a pure python module you can find the source by looking at themodule.__file__ . The datetime module, however, is written in C, an
如何了解给定Python模块的源文件的安装位置？ Windows上的方法与Linux上的方法不同吗？ 我试图特别寻找datetime模块的来源，但我也对更一般的答案感兴趣。 对于纯Python模块，您可以通过查看themodule.__file__找到源代码。 但是，日期时间模块是用C编写的，因此datetime.__file__指向一个.so文件（在Windows上没有datetime.__file__ ），因此您无法看到源文件。 如果你下载了一个python源压缩包并将其解压缩，那么可以
Imagine that you want to develop a non-trivial end-user desktop (not web) application in Python. What is the best way to structure the project's folder hierarchy? Desirable features are ease of maintenance, IDE-friendliness, suitability for source control branching/merging, and easy generation of install packages. In particular: Where do you put the source? Where do you put applicati
假设你想用Python开发一个不重要的终端用户桌面（而不是web）应用程序。 构建项目文件夹层次结构的最佳方式是什么？ 理想的功能是便于维护，IDE友好，适用于源代码控制分支/合并以及易于生成安装包。 尤其是： 你把源头放在哪里？ 你在哪里放置应用程序启动脚本？ 你把IDE项目放在哪里？ 你在哪里进行单元/验收测试？ 你在哪里放置诸如配置文件之类的非Python数据？ 你在哪里放置非Python源码，例如C ++ for py
I am trying to build a Python Script into a stand alone application. I am using GUI2Exe. My script uses selenium package. I have it installed. Project compiles fine and runs on python command line directly but fails to build a stand alone because it is referring to folder: ERROR: test_file_data_extract (__main__.FileDataExtract) -------------------------------------------------------------
我正在尝试将Python脚本构建为独立应用程序。 我正在使用GUI2Exe。 我的脚本使用硒包。 我已安装它。 项目编译良好，并直接在python命令行上运行，但无法构建独立版本，因为它指的是文件夹： ERROR: test_file_data_extract (__main__.FileDataExtract) ---------------------------------------------------------------------- Traceback (most recent call last): File "File_data_extract.py", line 18, in setUp
After some big frustration I did it! I converted my django app to an "exe" one to run as a single standalone app on windows (using cherrypy as a WSGI server) But When I try to to set py2exe's option "bundle_files" to "1" (ie bundle the python interpreter Python25.dll inside the generated exe) the generated exe crashes with a message talking about kernel32.dll
经历了一些挫折之后，我做到了！ 我将我的Django的应用程序，以一个“EXE”一个（使用CherryPy的作为WSGI服务器）作为Windows上的单个独立的应用程序来运行，但是当我尝试设置py2exe的选项"bundle_files" to "1" （即捆绑Python解释器生成的exe文件中的Python25.dll）生成的exe文件崩溃，并提示有关kernel32.dll的消息 但是当我使用"bundle_file" = "2" ，生成的exe会像魅力一样运行，
I have decided to do some programming in Kivy cross platform and installed Kivy on my computer successfully. The problem is that when I run my code, I get this error: [INFO ] [Kivy ] v1.9.1 [INFO ] [Python ] v3.4.4 (v3.4.4:737efcadf5a6, Dec 20 2015, 20:20:57) [MSC v.1600 64 bit (AMD64)] [INFO ] [Factory ] 179 symbols loaded [INFO
我决定在Kivy跨平台上做一些编程，并成功地在我的电脑上安装了Kivy。 问题是，当我运行我的代码时，出现此错误： [INFO ] [Kivy ] v1.9.1 [INFO ] [Python ] v3.4.4 (v3.4.4:737efcadf5a6, Dec 20 2015, 20:20:57) [MSC v.1600 64 bit (AMD64)] [INFO ] [Factory ] 179 symbols loaded [INFO ] [Image ] Providers: img_tex, img_dds, img_gif, img
I have a python object imported from win2com which contains stock price quotations. numbars is the number of bars in the stock history. quotations is the object that contain the stock quotations. To retrieve and store the prices and dates, the python code will look something like this; for x in range(0,num_bars): date_quote[x] = quotations(x).Date.date() close[x] = quotations(x).Clos
我有一个从win2com导入的python对象，其中包含股票报价。 numbars是股票历史中的小节数。 quotations是包含股票报价的对象。 为了检索和存储价格和日期，python代码看起来像这样; for x in range(0,num_bars): date_quote[x] = quotations(x).Date.date() close[x] = quotations(x).Close open[x] = quotations(x).Open high[x] = quotations(x).Low low[x] = quotations(x).High volume[x] = quota
I'm trying to import a data frame from R saved as RData to a pandas data frame. How can I do so? I unsuccessfully tried using rpy2 as follows: import pandas as pd from rpy2.robjects import r from rpy2.robjects import pandas2ri pandas2ri.activate() # I use iris for convenience but I could have done r.load('my_data.RData') print(r.data('iris')) print(r['iris'].head()) print(type(r.data('iri
我试图从保存为RData的R中导入一个数据帧到一个熊猫数据框。 我该怎么做？ 我没有成功尝试使用rpy2，如下所示： import pandas as pd from rpy2.robjects import r from rpy2.robjects import pandas2ri pandas2ri.activate() # I use iris for convenience but I could have done r.load('my_data.RData') print(r.data('iris')) print(r['iris'].head()) print(type(r.data('iris'))) print(pandas2ri.ri2py_dataframe(r.d