Numpy proposes a way to get the index of the maximum value of an array via np.argmax . I would like a similar thing, but returning the indexes of the N maximum values. For instance, if I have an array [1, 3, 2, 4, 5] , it function(array, n=3) would return [4, 3, 1] . Thanks :) The simplest I've been able to come up with is: In [1]: import numpy as np In [2]: arr = np.array([1, 3, 2,
Numpy提出了一种通过np.argmax数组最大值索引的np.argmax 。 我想要一个类似的东西，但返回N个最大值的索引。 例如，如果我有一个数组[1, 3, 2, 4, 5] ，它的function(array, n=3)将返回[4, 3, 1] 。 谢谢 ：） 我能够想到的最简单的是： In [1]: import numpy as np In [2]: arr = np.array([1, 3, 2, 4, 5]) In [3]: arr.argsort()[-3:][::-1] Out[3]: array([4, 3, 1]) 这涉及到一个完整的数组。 我不知道numpy
Suppose I have: test = numpy.array([[1, 2], [3, 4], [5, 6]]) test[i] gets me ith line of the array (eg [1, 2] ). How can I access the ith column? (eg [1, 3, 5] ). Also, would this be an expensive operation? >>> test[:,0] array([1, 3, 5]) Similarly, >>> test[1,:] array([3, 4]) lets you access rows. This is covered in Section 1.4 (Indexing) of the NumPy reference. This
假设我有： test = numpy.array([[1, 2], [3, 4], [5, 6]]) test[i]让我第i行数组（例如[1, 2] ）。 我如何访问第i列？ （例如[1, 3, 5] ）。 另外，这是一个昂贵的操作？ >>> test[:,0] array([1, 3, 5]) 同样的， >>> test[1,:] array([3, 4]) 让你访问行。 这在NumPy参考的1.4节（索引）中有介绍。 这很快，至少在我的经验。 这肯定比访问循环中的每个元素快得多。 如果你想一次访问多个列，你
I wonder if there is a direct way to import the contents of a csv file into a record array, much in the way that R's read.table() , read.delim() , and read.csv() family imports data to R's data frame? Or is the best way to use csv.reader() and then apply something like numpy.core.records.fromrecords() ? You can use Numpy's genfromtxt() method to do so, by setting the delimiter kwa
我想知道是否有直接的方式将csv文件的内容导入到记录数组中，这与R的read.table() ， read.delim()和read.csv()系列将数据导入R数据框？ 或者是使用csv.reader（）并应用像numpy.core.records.fromrecords()这样的最好方法？ 您可以使用Numpy的genfromtxt()方法来完成此操作，方法是将delimiter kwarg设置为逗号。 from numpy import genfromtxt my_data = genfromtxt('my_file.csv', delimiter=',') 有关该功能的更多信息
I have two points in 3D: (xa, ya, za) (xb, yb, zb) And I want to calculate the distance: dist = sqrt((xa-xb)^2 + (ya-yb)^2 + (za-zb)^2) What's the best way to do this with Numpy, or with Python in general? I have: a = numpy.array((xa ,ya, za)) b = numpy.array((xb, yb, zb)) 使用numpy.linalg.norm ： dist = numpy.linalg.norm(a-b) There's a function for that in SciPy, it's called E
我在3D中有两点： (xa, ya, za) (xb, yb, zb) 我想计算距离： dist = sqrt((xa-xb)^2 + (ya-yb)^2 + (za-zb)^2) 用Numpy或Python来做这件事最好的办法是什么？ 我有： a = numpy.array((xa ,ya, za)) b = numpy.array((xb, yb, zb)) 使用numpy.linalg.norm ： dist = numpy.linalg.norm(a-b) SciPy中有一个功能，叫做欧几里得 例： from scipy.spatial import distance a = (1,2,3) b = (4,5,6) dst = distance.euclide
py request: # coding=utf-8 from __future__ import print_function import requests headers = { # 'content-type': 'application/json', 'content-type': 'application/x-www-form-urlencoded', } params = { 'a': 1, 'b': [2, 3, 4], } url = "http://localhost:9393/server.php" resp = requests.post(url, data=params, headers=headers) print(resp.content) php recieve: // get HTTP Body $enti
py请求： # coding=utf-8 from __future__ import print_function import requests headers = { # 'content-type': 'application/json', 'content-type': 'application/x-www-form-urlencoded', } params = { 'a': 1, 'b': [2, 3, 4], } url = "http://localhost:9393/server.php" resp = requests.post(url, data=params, headers=headers) print(resp.content) php收到： // get HTTP Body $entityBody
I'm implementing Flask REST API with Flask-Oauthlib and wondering is it ok to pass username and password in URL parameters? For example: GET http://127.0.0.1:5000/api/token?client_id=CLIENT_ID&grant_type=password&username=myusername&password=hopeudontseemypass In my development environment all the requests are showing in logs as plain text like this: 127.0.0.1 - "GET /api/toke
我正在使用Flask-Oauthlib实现Flask REST API，并且想知道在URL参数中传递用户名和密码可以吗？ 例如： GET http://127.0.0.1:5000/api/token?client_id=CLIENT_ID&grant_type=password&username=myusername&password=hopeudontseemypass 在我的开发环境中，所有请求都以纯文本形式显示，如下所示： 127.0.0.1 - "GET /api/token?client_id=CLIENT_ID&grant_type=password&username=myusername&passw
import subprocess proc = subprocess.Popen('git status') print 'result: ', proc.communicate() I have git in my system path, but when I run subprocess like this I get: WindowsError: [Error 2] The system cannot find the file specified How can I get subprocess to find git in the system path? Python 2.6 on Windows XP. The problem you see here is that the Windows API function CreateProcess, us
import subprocess proc = subprocess.Popen('git status') print 'result: ', proc.communicate() 我有我的系统路径git，但是当我像这样运行子进程时，我得到： WindowsError: [Error 2] The system cannot find the file specified 我怎样才能让子进程在系统路径中找到git？ Windows XP上的Python 2.6。 您在这里看到的问题是，子进程使用的Windows API函数CreateProcess不会自动解析除.exe以外的其他可执行文件扩展
I have the following directory layout: runner.py lib/ tests/ testsuite1/ testsuite1.py testsuite2/ testsuite2.py testsuite3/ testsuite3.py testsuite4/ testsuite4.py The format of testsuite*.py modules is as follows: import pytest class testsomething: def setup_class(self): ''' do some
我有以下目录布局： runner.py lib/ tests/ testsuite1/ testsuite1.py testsuite2/ testsuite2.py testsuite3/ testsuite3.py testsuite4/ testsuite4.py testsuite * .py模块的格式如下： import pytest class testsomething: def setup_class(self): ''' do some setup ''' # Do some setup stu
I've been trying to develop an automated test case solution using Selenium RC and Python and after lengthy testing I've hit a pretty hard block in the road, so to speak. I have three files: unit.py, case1.py, and case1m.py unit.py configures instances of case1m.py with a browser and a port, then runs the test by sending the case1m instance through unittest.main(). The case1.py file
我一直在尝试使用Selenium RC和Python开发一个自动化测试用例解决方案，经过漫长的测试后，我在路上遇到了一个相当困难的问题，可以这么说。 我有三个文件：unit.py，case1.py和case1m.py unit.py用浏览器和端口配置case1m.py的实例，然后通过unittest.main（）发送case1m实例来运行测试。 case1.py文件是从Selenium IDE生成的一个vanilla案例; 当从命令行运行时，它会执行测试用例并按OK退出。 我用这个文件来帮助调试
How would I convert test cases made by Selenium IDE to Python without exporting every test case by hand? Is there any command line converter for that job? In the end I want to use Selenium RC and Pythons build in unittest to test my websites. Thanks a lot. Update: I started to write a converter but its too much work to implement all the commands. Is there any better way? from xml.dom.
如何将由Selenium IDE制作的测试用例转换为Python，而无需手动导出每个测试用例？ 那个工作有没有命令行转换器？ 最后，我想使用Selenium RC和Pythons在unittest中构建测试我的网站。 非常感谢。 更新： 我开始编写一个转换器，但它太多的工作来实现所有的命令。 有没有更好的方法？ from xml.dom.minidom import parse class SeleneseParser: def __init__(self,selFile): self.dom = parse(selFile)