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• In python: how to apply itertools.product to elements of a list of lists

  - by Guilherme Rocha

  I have a list of arrays and I would like to get the cartesian product of the elements in the arrays. I will use an example to make this more concrete... itertools.product seems to do the trick but I am stuck in a little detail. arrays = [(-1,+1), (-2,+2), (-3,+3)]; If I do cp = list(itertools.product(arrays)); I get cp = cp0 = [((-1, 1),), ((-2, 2),), ((-3, 3),)] But what I want to get is cp1 = [(-1,-2,-3), (-1,-2,+3), (-1,+2,-3), (-1,+2,+3), ..., (+1,+2,-3), (+1,+2,+3)]. I have tried a few different things: cp = list(itertools.product(itertools.islice(arrays, len(arrays)))); cp = list(itertools.product(iter(arrays, len(arrays)))); They all gave me cp0 instead of cp1. Any ideas? Thanks in advance.

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• How to define and use Python generators appropriately

  - by Morlock

  I want to define a generator from a list that will output the elements one at a time, then use this generator object in an appropriate manner. a = ["Hello", "world", "!"] b = (x for x in a) c = next(b, None) while c != None: print c, c = next(b, None) Is there anything wrong or improvable with the while approach here? Is there a way to avoid having to assign 'c' before the loop? Thanks!

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• Python: OSX Library for fast full screen jpg/png display

  - by Parand

  Frustrated by lack of a simple ACDSee equivalent for OS X, I'm looking to hack one up for myself. I'm looking for a gui library that accommodates: Full screen image display High quality image fit-to-screen (for display) Low memory usage Fast display Reasonable learning curve (the simpler the better) Looks like there are several choices, so which is the best? Here are some I've run across: PyOpenGL PyGame PyQT wxpython I don't have any particular experience with any of these, nor any strong desire to become an expert - I'm looking for the simplest solution. What do you recommend? [Update] For those not familiar with ACDSee, here's what it does that I care about: Simple list/thubmnail display of images in a directory Sort by name/size/type Ability to view images full screen Single-key delete while viewing full screen Move to next/previous image while viewing full screen Ability to select a group of images for: move to / copy to directory delete resize ACDSee has a bunch of niceties as well, such as remembering directories you've moved images to in the past, remembering your resize settings, displaying the total size of the images you've selected, etc. I've tried most of the options I could find (including Xee) and none of them quite get there. Please keep in mind that this is a programming/library question, not a criticism of any of the existing tools.

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• sending instant messages through python (msn)

  - by code_by_night

  ok I am well aware there are many other questions about this, but I have been searching and have yet to find a solid proper answer that doesnt revolve around jabber or something worse. (no offense to jabber users, just I don't want all the extras that come with it) I currently have msnp and twisted.words, I simply want to send and receive messages, have read many examples that have failed to work, and msnp is poorly documented. My preference is msnp as it requires much less code, I'm not looking for something complicated. Using this code I can login, and view my friends that are online (can't send them messages though.): import msnp import time, threading msn = msnp.Session() msn.login('[email protected]', 'XXXXXX') msn.sync_friend_list() class MSN_Thread(threading.Thread): def run(self): msn.start_chat("[email protected]") #this does not work while True: msn.process() time.sleep(1) start_msn = MSN_Thread() start_msn.start() I hope I have been clear enough, its pretty late and my head is not in a clear state after all this msn frustration. edit: since it seems msnp is extremely outdated could anyone recommend with simple examples on how I could achieve this? Don't need anything fancy that requires other accounts.

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• Sorting objects in Python

  - by Curious2learn

  I want to sort objects using by one of their attributes. As of now, I am doing it in the following way USpeople.sort(key=lambda person: person.utility[chosenCar],reverse=True) This works fine, but I have read that using operator.attrgetter() might be a faster way to achieve this sort. First, is this correct? Assuming that it is correct, how do I use operator.attrgetter() to achieve this sort? I tried, keyFunc=operator.attrgetter('utility[chosenCar]') USpeople.sort(key=keyFunc,reverse=True) However, I get an error saying that there is no attribute 'utility[chosenCar]'. The problem is that the attribute by which I want to sort is in a dictionary. For example, the utility attribute is in the following form: utility={chosenCar:25000,anotherCar:24000,yetAnotherCar:24500} I want to sort by the utility of the chosenCar using operator.attrgetter(). How could I do this? Thanks in advance.

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• Python: How efficient is subtring extraction?

  - by Cameron

  I've got the entire contents of a text file (at least a few KB) in string myStr. Will the following code create a copy of the string (less the first character) in memory? myStr = myStr[1:] I'm hoping it just refers to a different location in the same internal buffer. If not, is there a more efficient way to do this? Thanks!

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• Cleaning an XML file in Python before parsing

  - by Sam

  I'm using minidom to parse an xml file and it threw an error indicating that the data is not well formed. I figured out that some of the pages have characters like ไอเฟล &, causing the parser to hiccup. Is there an easy way to clean the file before I start parsing it? Right now I'm using a regular expressing to throw away anything that isn't an alpha numeric character and the </> characters, but it isn't quite working.

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• Converting python objects for rpy2

  - by bgbg

  The following code is supposed to created a heatmap in rpy2 import numpy as np from rpy2.robjects import r data = np.random.random((10,10)) r.heatmap(data) However, it results in the following error Traceback (most recent call last): File "z.py", line 8, in <module> labRow=rowNames, labCol=colNames) File "C:\Python25\lib\site-packages\rpy2\robjects\__init__.py", line 418, in __call__ new_args = [conversion.py2ri(a) for a in args] File "C:\Python25\lib\site-packages\rpy2\robjects\__init__.py", line 93, in default_py2ri raise(ValueError("Nothing can be done for the type %s at the moment." %(type(o)))) ValueError: Nothing can be done for the type <type 'numpy.ndarray'> at the moment. From the documentation I learn that r.heatmap expects "a numeric matrix". How do I convert np.array to the required data type?

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• python regular expression for domain names

  - by user230911

  I am trying use the following regression to extract domain name from a text, but it just produce nothing, what's wrong with it? I don't know if this is suitable to ask this "fix code" question, maybe I should read more. I just want to save some time. Thanks pat_url = re.compile(r''' (?:https?://)* (?:[\w]+[\-\w]+[.])* (?P<domain>[\w\-]*[\w.](com|net)([.](cn|jp|us))*[/]*) ''') print re.findall(pat_url,"http://www.google.com/abcde") I want the output to be google.com

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• Threading in python: retrieve return value when using target=

  - by Philipp Keller

  I want to get the "free memory" of a bunch of servers like this: def get_mem(servername): res = os.popen('ssh %s "grep MemFree /proc/meminfo | sed \'s/[^0-9]//g\'"' % servername) return res.read().strip() since this can be threaded I want to do something like that: import threading thread1 = threading.Thread(target=get_mem, args=("server01", )) thread1.start() But now: how can I access the return value(s) of the get_mem functions? Do I really need to go the full fledged way creating a class MemThread(threading.Thread) and overwriting __init__ and __run__?

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• Fast iterating over first n items of an iterable in python

  - by martinthenext

  Hello! I'm looking for a pythonic way of iterating over first n items of a list, and it's quite important to do this as fast as possible. This is how I do it now: count = 0 for item in iterable: do_somethin(item) count += 1 if count >= n: break Doesn't seem neat to me. Another way of doing this is: for item in itertools.islice(iterable, n): do_something(item) This looks good, the question is it fast enough to use with some generator(s)? For example: pair_generator = lambda iterable: itertools.izip(*[iter(iterable)]*2) for item in itertools.islice(pair_generator(iterable), n): so_something(item) Will it run fast enough as compared to the first method? Is there some easier way to do it?

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• Passing list and dictionary type parameter with Python

  - by prosseek

  When I run this code def func(x, y, *w, **z): print x print y if w: print w if z: print z else: print "None" func(10,20, 1,2,3,{'k':'a'}) I get the result as follows. 10 20 (1, 2, 3, {'k': 'a'}) None But, I expected as follows, I mean the list parameters (1,2,3) matching *w, and dictionary matching **z. 10 20 (1,2,3) {'k':'a'} Q : What went wrong? How can I pass the list and dictionary as parameters? Added func(10,20, 10,20,30, k='a') seems to be working

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• python dict function on enumerate object

  - by Lundus

  Hi, If I have an enumerate object x, why does doing the following: dict(x) clear all the items in the enumerate sequence?

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• Copy whole SQL Server database into JSON from Python

  - by Oli

  I facing an atypical conversion problem. About a decade ago I coded up a large site in ASP. Over the years this turned into ASP.NET but kept the same database. I've just re-done the site in Django and I've copied all the core data but before I cancel my account with the host, I need to make sure I've got a long-term backup of the data so if it turns out I'm missing something, I can copy it from a local copy. To complicate matters, I no longer have Windows. I moved to Ubuntu on all my machines some time back. I could ask the host to send me a backup but having no access to a machine with MSSQL, I wouldn't be able to use that if I needed to. So I'm looking for something that does: db = {} for table in database: db[table.name] = [row for row in table] And then I could serialize db off somewhere for later consumption... But how do I do the table iteration? Is there an easier way to do all of this? Can MSSQL do a cross-platform SQLDump (inc data)? For previous MSSQL I've used pymssql but I don't know how to iterate the tables and copy rows (ideally with column headers so I can tell what the data is). I'm not looking for much code but I need a poke in the right direction.

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• How to display locale sensitive time format without seconds in python

  - by Tim Kersten

  I can output a locale sensitive time format using strftime('%X'), but this always includes seconds. How might I display this time format without seconds? >>> import locale >>> import datetime >>> locale.setlocale(locale.LC_ALL, 'en_IE.utf-8') 'en_IE.utf-8' >>> print datetime.datetime.now().strftime('%X') 12:22:43 >>> locale.setlocale(locale.LC_ALL, 'zh_TW.utf-8') 'zh_TW.utf-8' >>> print datetime.datetime.now().strftime('%X') 12?22?58? The only way I can think of doing this is attempting to parse the output of locale.nl_langinfo(locale.T_FMT) and strip out the seconds bit, but that brings it's own trickery. >>> print locale.nl_langinfo(locale.T_FMT) %H?%M?%S? >>> locale.setlocale(locale.LC_ALL, 'en_IE.utf-8') 'en_IE.utf-8' >>> print locale.nl_langinfo(locale.T_FMT) %T

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• unevenly centered subplots in matplotlib in Python?

  - by user248237

  I am plotting a simple pair of subplots in matplotlib that are for some reason unevenly centered. I plot them as follows: plt.figure() # first subplot s1 = plt.subplot(2, 1, 1) plt.bar([1, 2, 3], [4, 5, 6]) # second subplot s2 = plt.subplot(2, 1, 2) plt.pcolor(rand(5,5)) # add colorbar plt.colorbar() # square axes axes_square(s1) axes_square(s2) where axes_square is simply: def axes_square(plot_handle): plot_handle.axes.set_aspect(1/plot_handle.axes.get_data_ratio()) The plot I get is attached. The top and bottom plots are unevenly centered. I'd like their yaxis to be aligned and their boxes to be aligned. If I remove the plt.colorbar() call, the plots become centered. How can I have the plots centered while the colorbar of pcolor is still shown? I want the axes to be centered and have the colorbar be outside of that alignment, either to the left or to the right of the pcolor matrix. image of plots link thanks.

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• Python key word arguments

  - by pythonic metaphor

  I have several layers of function calls, passing around a common dictionary of key word arguments: def func1(**qwargs): func2(**qwargs) func3(**qwargs) I would like to supply some default arguments in some of the subsequent function calls, something like this: def func1(**qwargs): func2(arg = qwargs.get("arg", default), **qwargs) func3(**qwargs) The problem with this approach is that if arg is inside qwargs, a TypeError is raised with "got multiple values for keyword argument". I don't want to set qwargs["arg"] to default, because then func3 gets this argument without warrant. I could make a copy.copy of the qwargs and set "arg" in the copy, but qwargs could have large data structures in it and I don't want to copy them (maybe copy.copy wouldn't, only copy.deepcopy?). What's the pythonic thing to do here?

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• python socket.recv/sendall call blocking

  - by fsm

  Hi everyone. This post is incorrectly tagged 'send' since I cannot create new tags. I have a very basic question about this simple echo server. Here are some code snippets. client while True: data = raw_input("Enter data: ") mySock.sendall(data) echoedData = mySock.recv(1024) if not echoedData: break print echoedData server while True: print "Waiting for connection" (clientSock, address) = serverSock.accept() print "Entering read loop" while True: print "Waiting for data" data = clientSock.recv(1024) if not data: break clientSock.send(data) clientSock.close() Now this works alright, except when the client sends an empty string (by hitting the return key in response to "enter data: "), in which case I see some deadlock-ish behavior. Now, what exactly happens when the user presses return on the client side? I can only imagine that the sendall call blocks waiting for some data to be added to the send buffer, causing the recv call to block in turn. What's going on here? Thanks for reading!

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• Python - How to pickle yourself?

  - by Mark

  I want my class to implement Save and Load functions which simply do a pickle of the class. But apparently you cannot use 'self' in the fashion below. How can you do this? self = cPickle.load(f) cPickle.dump(self,f,2)

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• Download whole directories in Python SimpleHTTPServer

  - by awegawef

  I really like how I can easily share files on a network using the SimpleHTTPServer, but I wish there was an option like "download entire directory". Is there an easy (one liner) way to implement this? Thanks

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• Simplest way to handle and display errors in a Python Pylons controller without a helper class

  - by ensnare

  I have a class User() that throw exceptions when attributes are incorrectly set. I am currently passing the exceptions from the models through the controller to the templates by essentially catching exceptions two times for each variable. Is this a correct way of doing it? Is there a better (but still simple) way? I prefer not to use any third party error or form handlers due to the extensive database queries we already have in place in our classes. Furthermore, how can I "stop" the chain of processing in the class if one of the values is invalid? Is there like a "break" syntax or something? Thanks. >>> u = User() >>> u.name = 'Jason Mendez' >>> u.password = '1234' Traceback (most recent call last): File "<stdin>", line 1, in <module> File "topic/model/user.py", line 79, in password return self._password ValueError: Your password must be greater than 6 characters In my controller "register," I have: class RegisterController(BaseController): def index(self): if request.POST: c.errors = {} u = User() try: u.name = c.name = request.POST['name'] except ValueError, error: c.errors['name'] = error try: u.email = c.email = request.POST['email'] except ValueError, error: c.errors['email'] = error try: u.password = c.password = request.POST['password'] except ValueError, error: c.errors['password'] = error try: u.commit() except ValueError, error: pass return render('/register.mako')

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• Reading numeric Excel data as text using xlrd in Python

  - by Brian

  Hi guys, I am trying to read in an Excel file using xlrd, and I am wondering if there is a way to ignore the cell formatting used in Excel file, and just import all data as text? Here is the code I am using for far: import xlrd xls_file = 'xltest.xls' xls_workbook = xlrd.open_workbook(xls_file) xls_sheet = xls_workbook.sheet_by_index(0) raw_data = [['']*xls_sheet.ncols for _ in range(xls_sheet.nrows)] raw_str = '' feild_delim = ',' text_delim = '"' for rnum in range(xls_sheet.nrows): for cnum in range(xls_sheet.ncols): raw_data[rnum][cnum] = str(xls_sheet.cell(rnum,cnum).value) for rnum in range(len(raw_data)): for cnum in range(len(raw_data[rnum])): if (cnum == len(raw_data[rnum]) - 1): feild_delim = '\n' else: feild_delim = ',' raw_str += text_delim + raw_data[rnum][cnum] + text_delim + feild_delim final_csv = open('FINAL.csv', 'w') final_csv.write(raw_str) final_csv.close() This code is functional, but there are certain fields, such as a zip code, that are imported as numbers, so they have the decimal zero suffix. For example, is there is a zip code of '79854' in the Excel file, it will be imported as '79854.0'. I have tried finding a solution in this xlrd spec, but was unsuccessful.

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• Generate a table of contents from HTML with Python

  - by Oli

  I'm trying to generate a table of contents from a block of HTML (not a complete file - just content) based on its <h2> and <h3> tags. My plan so far was to: Extract a list of headers using beautifulsoup Use a regex on the content to place anchor links before/inside the header tags (so the user can click on the table of contents) -- There might be a method for replacing inside beautifulsoup? Output a nested list of links to the headers in a predefined spot. It sounds easy when I say it like that, but it's proving to be a bit of a pain in the rear. Is there something out there that does all this for me in one go so I don't waste the next couple of hours reinventing the wheel? A example: <p>This is an introduction</p> <h2>This is a sub-header</h2> <p>...</p> <h3>This is a sub-sub-header</h3> <p>...</p> <h2>This is a sub-header</h2> <p>...</p>

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• Python: deleting rows in a text file

  - by Jenny

  A sample of the following text file i have is: > 1 -4.6 -4.6 -7.6 > > 2 -1.7 -3.8 -3.1 > > 3 -1.6 -1.6 -3.1 the data is separated by tabs in the text file and the first column indicates the position. I need to iterate through every value in the text file apart from column 0 and find the lowest value. once the lowest value has been found that value needs to be written to a new text file along with the column name and position. Column 0 has the name "position" Column 1 "fifteen", column 2 "sixteen" and column 3 "seventeen" for example the lowest value in the above data is "-7.6" and is in column 3 which has the name "seventeen". Therefore "7.6", "seventeen" and its position value which in this case is 1 need to be written to the new text file. I then need a number of rows deleted from the above text file. E.G. the lowest value above is "-7.6" and is found at position "1" and is found in column 3 which as the name "seventeen". I therefore need seventeen rows deleted from the text file starting from and including position 1 so the the column in which the lowest value is found denotes the amount of rows that needs to be deleted and the position it is found at states the start point of the deletion

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• Problem building a complete binary tree of height 'h' in Python

  - by Jack

  Here is my code. The complete binary tree has 2^k nodes at depth k. class Node: def __init__(self, data): # initializes the data members self.left = None self.right = None self.data = data root = Node(data_root) def create_complete_tree(): row = [root] for i in range(h): newrow = [] for node in row: left = Node(data1) right = Node(data2) node.left = left node.right = right newrow.append(left) newrow.append(right) row = copy.deepcopy(newrow) def traverse_tree(node): if node == None: return else: traverse_tree(node.left) print node.data traverse_tree(node.right) create_complete_tree() print 'Node traversal' traverse_tree(root) The tree traversal only gives the data of root and its children. What am I doing wrong?

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