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  • writing header in csv python with DictWriter

    - by user248237
    assume I have a csv.DictReader object and I want to write it out as a csv file. How can I do this? I thought of the following: dr = csv.DictReader(open(f), delimiter='\t') # process my dr object # ... # write out object output = csv.DictWriter(open(f2, 'w'), delimiter='\t') for item in dr: output.writerow(item) Is that the best way? More importantly, how can I make it so a header is written out too, in this case the object "dr"s .fieldnames property? thanks.

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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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  • what's faster: merging lists or dicts in python?

    - by tipu
    I'm working with an app that is cpu-bound more than memory bound, and I'm trying to merge two things whether they be sets or dicts. Now the thing is i can choose either one, but I'm wondering if merging dicts would be faster since it's all in memory? Or is it always going to be O(n), n being the size of the smaller set. The reason I asked about dicts rather than sets is because I can't convert a set to json, because that results in {key1, key2, key3} and json needs a key/value pair, so I am using a dict so json dumps returns {key1:1, key2:1, key3:1}. Yes this is wasteful, but if it proves to be faster then I'm okay with it.

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  • How should I use random.jumpahead in Python

    - by Peter Smit
    I have a application that does a certain experiment 1000 times (multi-threaded, so that multiple experiments are done at the same time). Every experiment needs appr. 50.000 random.random() calls. What is the best approach to get this really random. I could copy a random object to every experiment and do than a jumpahead of 50.000 * expid. The documentation suggests that jumpahead(1) already scrambles the state, but is that really true? Or is there another way to do this in 'the best way'? (No, the random numbers are not used for security, but for a metropolis hasting algorithm. The only requirement is that the experiments are independent, not whether the random sequence is somehow predictable or so)

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  • Python Threading

    - by anteater7171
    I'm trying to make a simple program that continually displays and updates a label that displays the CPU usage, while having other unrelated things going on. I've done enough research to know that threading is likely going to be involved. However, I'm having trouble applying what I've seen in simple examples of threading to what I'm trying to do. What I currently have going: import Tkinter import psutil,time from PIL import Image, ImageTk class simpleapp_tk(Tkinter.Tk): def __init__(self,parent): Tkinter.Tk.__init__(self,parent) self.parent = parent self.initialize() def initialize(self): self.labelVariable = Tkinter.StringVar() self.label = Tkinter.Label(self,textvariable=self.labelVariable) self.label.pack() self.button = Tkinter.Button(self,text='button',command=self.A) self.button.pack() def A (self): G = str(round(psutil.cpu_percent(), 1)) + '%' print G self.labelVariable.set(G) def B (self): print "hello" if __name__ == "__main__": app = simpleapp_tk(None) app.mainloop() In the above code I'm basically trying to get command A continually running, while allowing command B to be done when the users presses the button.

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  • python appengine form-posted utf8 file issue

    - by khany
    hi, i am trying to form-post a sql file that consists on many INSERTS, eg. INSERT INTO `TABLE` VALUES ('abcdé', 2759); then i use re.search to parse it and extract the fields to put into my own datastore. The problem is that, although the file contains accented characters (see the e is a é), once uploaded it loses it and either errors or stores a bytestring representation of it. Heres what i am currently using (and I have tried loads of alternatives): form = cgi.FieldStorage() uFile = form['sql'] uSql = uFile.file.read() lineX = uSql.split("\n") # to get each line and so on. has anyone got a robust way of making this work? remember i am on appengine so access to some libraries is restricted/forbidden

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  • How to merge duplicates in 2D python arrays

    - by Wei Lou
    Hi, I have a set of data similar to this: No Start Time End Time CallType Info 1 13:14:37.236 13:14:53.700 Ping1 RTT(Avr):160ms 2 13:14:58.955 13:15:29.984 Ping2 RTT(Avr):40ms 3 13:19:12.754 13:19:14.757 Ping3_1 RTT(Avr):620ms 3 13:19:12.754 Ping3_2 RTT(Avr):210ms 4 13:14:58.955 13:15:29.984 Ping4 RTT(Avr):360ms 5 13:19:12.754 13:19:14.757 Ping1 RTT(Avr):40ms 6 13:19:59.862 13:20:01.522 Ping2 RTT(Avr):163ms ... when i parse through it, i need merge the results of Ping3_1 and Ping3_2. Then take average of those two row export as one row. So the end of result would be like this: No Start Time End Time CallType Info 1 13:14:37.236 13:14:53.700 Ping1 RTT(Avr):160ms 2 13:14:58.955 13:15:29.984 Ping2 RTT(Avr):40ms 3 13:19:12.754 13:19:14.757 Ping3 RTT(Avr):415ms 4 13:14:58.955 13:15:29.984 Ping4 RTT(Avr):360ms 5 13:19:12.754 13:19:14.757 Ping1 RTT(Avr):40ms 6 13:19:59.862 13:20:01.522 Ping2 RTT(Avr):163ms currently i am concatenating column 0 and 1 to make a unique key, find duplication there then doing rest of special treatment for those parallel Pings. It is not elegant at all. Just wonder what is the better way to do it. Thanks!

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  • Multiple levels of 'collection.defaultdict' in Python

    - by Morlock
    Thanks to some great folks on SO, I discovered the possibilities offered by collections.defaultdict, notably in readability and speed. I have put them to use with success. Now I would like to implement three levels of dictionaries, the two top ones being defaultdict and the lowest one being int. I don't find the appropriate way to do this. Here is my attempt: from collections import defaultdict d = defaultdict(defaultdict) a = [("key1", {"a1":22, "a2":33}), ("key2", {"a1":32, "a2":55}), ("key3", {"a1":43, "a2":44})] for i in a: d[i[0]] = i[1] Now this works, but the following, which is the desired behavior, doesn't: d["key4"]["a1"] + 1 I suspect that I should have declared somewhere that the second level defaultdict is of type int, but I didn't find where or how to do so. The reason I am using defaultdict in the first place is to avoid having to initialize the dictionary for each new key. Any more elegant suggestion? Thanks pythoneers!

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  • python unittest howto

    - by zubin71
    I`d like to know how I could unit-test the following module. def download_distribution(url, tempdir): """ Method which downloads the distribution from PyPI """ print "Attempting to download from %s" % (url,) try: url_handler = urllib2.urlopen(url) distribution_contents = url_handler.read() url_handler.close() filename = get_file_name(url) file_handler = open(os.path.join(tempdir, filename), "w") file_handler.write(distribution_contents) file_handler.close() return True except ValueError, IOError: return False

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  • getting expat to use .dtd for entity replacement in python

    - by nicolas78
    I'm trying to read in an xml file which looks like this <?xml version="1.0" encoding="ISO-8859-1"?> <!DOCTYPE dblp SYSTEM "dblp.dtd"> <dblp> <incollection> <author>Jos&eacute; A. Blakeley</author> </incollection> </dblp> The point that creates the problem looks is the Jos&eacute; A. Blakeley part: The parser calls its character handler twice, once with "Jos", once with " A. Blakeley". Now I understand this may be the correct behaviour if it doesn't know the eacute entity. However, this is defined in the dblp.dtd, which I have. I don't seem to be able to convince expat to use this file, though. All I can say is p = xml.parsers.expat.ParserCreate() # tried with and without following line p.SetParamEntityParsing(xml.parsers.expat.XML_PARAM_ENTITY_PARSING_ALWAYS) p.UseForeignDTD(True) f = open(dblp_file, "r") p.ParseFile(f) but expat still doesn't recognize my entity. Why is there no way to tell expat which DTD to use? I've tried putting the file into the same directory as the XML putting the file into the program's working directory replacing the reference in the xml file by an absolute path What am I missing? Thx.

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  • Python: Figure out local timezone

    - by Adam Matan
    I want to compare UTC timestamps from a log file with local timestamps. When creating the local datetime object, I use something like: >>> local_time=datetime.datetime(2010, 4, 27, 12, 0, 0, 0, tzinfo=pytz.timezone('Israel')) I want to find an automatic tool that would replace thetzinfo=pytz.timezone('Israel') with the current local time zone. Any ideas?

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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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  • Please explain this python behavior

    - by StackUnderflow
    class SomeClass(object): def __init__(self, key_text_pairs = None): ..... for key, text in key_text_pairs: ...... ...... x = SomeClass([1, 2, 3]) The value of key_text_pairs inside the init is None even if I pass a list as in the above statement. Why is it so?? I want to write a generic init which can take all iterator objects... Thanks

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  • Reading Binary Plist files with Python

    - by Zeki Turedi
    I am currently using the Plistlib module to read Plist files but I am currently having an issue with it when it comes to Binary Plist files. I am wanting to read the data into a string to later to be analysed/printed etc. I am wondering if their is anyway of reading in a Binary Plist file without using the plutil function and converting the binary file into XML? Thank you for your help and time in advance.

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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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  • Using Python's ConfigParser to read a file without section name

    - by Arrieta
    Hello: I am using ConfigParser to read the runtime configuration of a script. I would like to have the flexibility of not providing a section name (there are scripts which are simple enough; they don't need a 'section'). ConfigParser will throw the NoSectionError exception, and will not accept the file. How can I make ConfigParser simply retrieve the (key, value) tuples of a config file without section names? For instance: key1=val1 key2:val2 I would rather not write to the config file.

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  • Which Python XML library should I use?

    - by PulpFiction
    Hello. I am going to handle XML files for a project. I had earlier decided to use lxml but after reading the requirements, I think ElemenTree would be better for my purpose. The XML files that have to be processed are: Small in size. Typically < 10 KB. No namespaces. Simple XML structure. Given the small XML size, memory is not an issue. My only concern is fast parsing. What should I go with? Mostly I have seen people recommend lxml, but given my parsing requirements, do I really stand to benefit from it or would ElementTree serve my purpose better?

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  • [Python] - Getting data from external program

    - by Kenny M.
    Hey, I need a method to get the data from an external editor. def _get_content(): from subprocess import call file = open(file, "w").write(some_name) call(editor + " " + file, shell=True) file.close() file = open(file) x = file.readlines() [snip] I personally think this is a very ugly way. You see I need to interact with an external editor and get the data. Do you know any better approaches/have better ideas?

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