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  • Python - Strange Behavior in re.sub

    - by Greg
    Here's the code I'm running: import re FIND_TERM = r'C:\\Program Files\\Microsoft SQL Server\\90\\DTS\\Binn\\DTExec\.exe' rfind_term = re.compile(FIND_TERM,re.I) REPLACE_TERM = 'C:\\Program Files\\Microsoft SQL Server\\100\\DTS\\Binn\\DTExec.exe' test = r'something C:\Program Files\Microsoft SQL Server\90\DTS\Binn\DTExec.exe something' print rfind_term.sub(REPLACE_TERM,test) And the result I get is: something C:\Program Files\Microsoft SQL Server@\DTS\Binn\DTExec.exe something Why is there an @ sign?

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  • In Python BeautifulSoup How to move tags

    - by JJ
    I have a partially converted XML document in soup coming from HTML. After some replacement and editing in the soup, the body is essentially - <Text...></Text> # This replaces <a href..> tags but automatically creates the </Text> <p class=norm ...</p> <p class=norm ...</p> <Text...></Text> <p class=norm ...</p> and so forth. I need to "move" the <p> tags to be children to <Text> or know how to suppress the </Text>. I want - <Text...> <p class=norm ...</p> <p class=norm ...</p> </Text> <Text...> <p class=norm ...</p> </Text> I've tried using item.insert and item.append but I'm thinking there must be a more elegant solution. for item in soup.findAll(['p','span']): if item.name == 'span' and item.has_key('class') and item['class'] == 'section': xBCV = short_2_long(item._getAttrMap().get('value','')) if currentnode: pass currentnode = Tag(soup,'Text', attrs=[('TypeOf', 'Section'),... ]) item.replaceWith(currentnode) # works but creates end tag elif item.name == 'p' and item.has_key('class') and item['class'] == 'norm': childcdatanode = None for ahref in item.findAll('a'): if childcdatanode: pass newlink = filter_hrefs(str(ahref)) childcdatanode = Tag(soup, newlink) ahref.replaceWith(childcdatanode) Thanks

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  • python gio waiting for async operations to be done

    - by pygabriel
    I have to mount a WebDav location and wait for the operation to be finished before to proceed (it's a script). So I'm using the library in this way: location = gio.File("dav://server.bb") location.mount_enclosing_volume(*args,**kw) # The setup is not much relevant location.get_path() # Returns None because it's not yet mounted since the call is async How to wait until the device is mounted?

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  • Python - Blackjack

    - by user335932
    def showCards(): #SUM sum = playerCards[0] + playerCards[1] #Print cards print "Player's Hand: " + str(playerCards) + " : " + "sum print "Dealer's Hand: " + str(compCards[0]) + " : " + "sum" compCards = [Deal(),Deal()] playerCards = [Deal(),Deal()] How can i add up the interger element of a list containing to values? under #SUM error is can combine lists like ints...

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  • Fast iterating over first n items of an iterable (not a list) in python

    - by martinthenext
    Hello! I'm looking for a pythonic way of iterating over first n items of an iterable (upd: not a list in a common case, as for lists things are trivial), 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_something(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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  • 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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  • Flickr API automated login using Python library flickrapi

    - by Dave Aaron Smith
    I have a web application that I want to sync with Flickr. I don't want the users to have to log into Flickr so I plan to use a single login. I believe I'll need to do something like this: import flickrapi flickr = flickrapi.FlickrAPI(myKey, mySecret) (token, frob) = flickr.get_token_part_one(perms='write', my_auth_callback) flickr.get_token_part_two((token, frob,)) flickr.what_have_you(... I don't know what my_auth_callback should look like though. I suspect it will have to post my login information to flickr. Could I do the get_token_part_one step just once manually perhaps and then re-use it in get_token_part_two?

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  • hierarchical clustering on correlations in Python scipy/numpy?

    - by user248237
    How can I run hierarchical clustering on a correlation matrix in scipy/numpy? I have a matrix of 100 rows by 9 columns, and I'd like to hierarchically clustering by correlations of each entry across the 9 conditions. I'd like to use 1-pearson correlation as the distances for clustering. Assuming I have a numpy array "X" that contains the 100 x 9 matrix, how can I do this? I tried using hcluster, based on this example: Y=pdist(X, 'seuclidean') Z=linkage(Y, 'single') dendrogram(Z, color_threshold=0) however, pdist is not what I want since that's euclidean distance. Any ideas? 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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  • Python: date, time formatting

    - by TarGz
    I need to generate a local timestamp in a form of YYYYMMDDHHmmSSOHH'mm'. That OHH'mm' is one of +, -, Z and then there are hourhs and minutes followed by '. Please, how do I get such a timestamp, denoting both local time zone and possible daylight saving?

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  • Differences between 'Add web site/solution to source control...'

    - by Andy Rose
    I have opened a website website hosted on my workstation in Visual Studio 2008 and saved it as solution. I now want to add this to source contol and I am being given the option to either 'Add solution to source control...' or 'Add web site to source control...'. This solution needs to be accessed, worked on and run locally by several other developers so I was wondering what the key differences are between each option and which would be the best to choose?

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  • Reading HTTP server push streams with Python

    - by Sam
    I'm playing around trying to write a client for a site which provides data as an HTTP stream (aka HTTP server push). However, urllib2.urlopen() grabs the stream in its current state and then closes the connection. I tried skipping urllib2 and using httplib directly, but this seems to have the same behaviour. Is there a way to get the stream to stay open, so it can be checked each program loop for new contents, rather than waiting for the whole thing to be redownloaded every few seconds, introducing lag?

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  • Confusion Matrix with number of classified/misclassified instances on it (Python/Matplotlib)

    - by Pinkie
    I am plotting a confusion matrix with matplotlib with the following code: from numpy import * import matplotlib.pyplot as plt from pylab import * conf_arr = [[33,2,0,0,0,0,0,0,0,1,3], [3,31,0,0,0,0,0,0,0,0,0], [0,4,41,0,0,0,0,0,0,0,1], [0,1,0,30,0,6,0,0,0,0,1], [0,0,0,0,38,10,0,0,0,0,0], [0,0,0,3,1,39,0,0,0,0,4], [0,2,2,0,4,1,31,0,0,0,2], [0,1,0,0,0,0,0,36,0,2,0], [0,0,0,0,0,0,1,5,37,5,1], [3,0,0,0,0,0,0,0,0,39,0], [0,0,0,0,0,0,0,0,0,0,38] ] norm_conf = [] for i in conf_arr: a = 0 tmp_arr = [] a = sum(i,0) for j in i: tmp_arr.append(float(j)/float(a)) norm_conf.append(tmp_arr) plt.clf() fig = plt.figure() ax = fig.add_subplot(111) res = ax.imshow(array(norm_conf), cmap=cm.jet, interpolation='nearest') cb = fig.colorbar(res) savefig("confmat.png", format="png") But I want to the confusion matrix to show the numbers on it like this graphic (the right one): http://i48.tinypic.com/2e30kup.jpg How can I plot the conf_arr on the graphic?

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  • Extract strings in python

    - by shadyabhi
    Basically, I want to extract the strings "AAA", "BBB", "CCC", "DDD" from a text file.. ...... (other text goes here)..... <TD align="left" class=texttd><font class='textfont'>AAA</font></TD> ..... (useless text here)..... <TD align="left" class=texttd><font class='textfont'>BBB</font></TD> ....(more text)..... <TD align="left" class=texttd><font class='textfont'>CCC</font></TD> <TD align="left" class=texttd><font class='textfont'>DDD</font></TD> ......(more text)..... I want something like if I do:- data = foo("file.txt") i get:- data = ['AAA','BBB','CCC','DDD'] What is the best possible way? My file is not big..

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  • Python - excel - xlwt: colouring every second row

    - by konjo
    Hi, i just finish some MYSQL to excel script with xlwt and I need to colour every second row for easy reading. I have tried this: row = easyxf('pattern: pattern solid, fore_colour blue') for i in range(0,10,2): ws0.row(i).set_style(row) Alone this colouring is fine, but when when I write my data rows are again white. Can some please show me some example 'cuz I m lost in coding :/ Best Regards.

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  • python decorator to modify variable in current scope

    - by AlexH
    Goal: Make a decorator which can modify the scope that it is used in. If it worked: class Blah(): # or perhaps class Blah(ParentClassWhichMakesThisPossible) def one(self): pass @decorated def two(self): pass Blah.decorated ["two"] Why? I essentially want to write classes which can maintain specific dictionaries of methods, so that I can retrieve lists of available methods of different types on a per class basis. errr..... I want to do this: class RuleClass(ParentClass): @rule def blah(self): pass @rule def kapow(self): pass def shazam(self): class OtherRuleClass(ParentClass): @rule def foo(self): pass def bar(self): pass RuleClass.rules.keys() ["blah", "kapow"] OtherRuleClass.rules.keys() ["foo"]

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  • Write xml file using lxml library in Python

    - by systempuntoout
    I'm using lxml to create an XML file from scratch; having a code like this: from lxml import etree root = etree.Element("root") root.set("interesting", "somewhat") child1 = etree.SubElement(root, "test") How do i write root Element object to an xml file using write() method of ElementTree class?

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  • python, wrapping class returning the average of the wrapped members

    - by João Portela
    The title isn't very clear but I'll try to explain. Having this class: class Wrapped(object): def method_a(self): # do some operations return n def method_b(self): # also do some operations return n I wan't to have a class that performs the same way as this one: class Wrapper(object): def __init__(self): self.ws = [Wrapped(1),Wrapped(2),Wrapped(3)] def method_a(self): results=[Wrapped.method_a(w) for w in self.ws] sum_ = sum(results,0.0) average = sum_/len(self.ws) return average def method_b(self): results=[Wrapped.method_b(w) for w in self.ws] sum_ = sum(results,0.0) average = sum_/len(self.ws) return average obviously this is not the actual problem at hand (it is not only two methods), and this code is also incomplete (only included the minimum to explain the problem). So, what i am looking for is a way to obtain this behavior. Meaning, whichever method is called in the wrapper class, call that method for all the Wrapped class objects and return the average of their results. Can it be done? how? Thanks in advance. ps-didn't know which tags to include...

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  • how to use @ in python..

    - by zjm1126
    this is my code: def a(): print 'sss' @a() def b(): print 'aaa' b() and the Traceback is: sss Traceback (most recent call last): File "D:\zjm_code\a.py", line 8, in <module> @a() TypeError: 'NoneType' object is not callable so how to use the '@' thanks

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  • Python + PostgreSQL + strange ascii = UTF8 encoding error

    - by Claudiu
    I have ascii strings which contain the character "\x80" to represent the euro symbol: >>> print "\x80" € When inserting string data containing this character into my database, I get: psycopg2.DataError: invalid byte sequence for encoding "UTF8": 0x80 HINT: This error can also happen if the byte sequence does not match the encodi ng expected by the server, which is controlled by "client_encoding". I'm a unicode newbie. How can I convert my strings containing "\x80" to valid UTF-8 containing that same euro symbol? I've tried calling .encode and .decode on various strings, but run into errors: >>> "\x80".encode("utf-8") Traceback (most recent call last): File "<pyshell#14>", line 1, in <module> "\x80".encode("utf-8") UnicodeDecodeError: 'ascii' codec can't decode byte 0x80 in position 0: ordinal not in range(128)

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  • Python halts while iteratively processing my 1GB csv file

    - by Dan
    I have two files: metadata.csv: contains an ID, followed by vendor name, a filename, etc hashes.csv: contains an ID, followed by a hash The ID is essentially a foreign key of sorts, relating file metadata to its hash. I wrote this script to quickly extract out all hashes associated with a particular vendor. It craps out before it finishes processing hashes.csv stored_ids = [] # this file is about 1 MB entries = csv.reader(open(options.entries, "rb")) for row in entries: # row[2] is the vendor if row[2] == options.vendor: # row[0] is the ID stored_ids.append(row[0]) # this file is 1 GB hashes = open(options.hashes, "rb") # I iteratively read the file here, # just in case the csv module doesn't do this. for line in hashes: # not sure if stored_ids contains strings or ints here... # this probably isn't the problem though if line.split(",")[0] in stored_ids: # if its one of the IDs we're looking for, print the file and hash to STDOUT print "%s,%s" % (line.split(",")[2], line.split(",")[4]) hashes.close() This script gets about 2000 entries through hashes.csv before it halts. What am I doing wrong? I thought I was processing it line by line. ps. the csv files are the popular HashKeeper format and the files I am parsing are the NSRL hash sets. http://www.nsrl.nist.gov/Downloads.htm#converter UPDATE: working solution below. Thanks everyone who commented! entries = csv.reader(open(options.entries, "rb")) stored_ids = dict((row[0],1) for row in entries if row[2] == options.vendor) hashes = csv.reader(open(options.hashes, "rb")) matches = dict((row[2], row[4]) for row in hashes if row[0] in stored_ids) for k, v in matches.iteritems(): print "%s,%s" % (k, v)

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