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  • Importing files in Python from __init__.py

    - by Federico Builes
    Suppose I have the following structure: app/ __init__.py foo/ a.py b.py c.py __init__.py a.py, b.py and c.py share some common imports (logging, os, re, etc). Is it possible to import these three or four common modules from the __init__.py file so I don't have to import them in every one of the files? Edit: My goal is to avoid having to import 5-6 modules in each file and it's not related to performance reasons.

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  • assign operator to variable in python?

    - by abhilashm86
    Usual method of applying mathematics to variables is a * b Is it able to calculate and manipulate two operands like this? a = input('enter a value') b = input('enter a value') op = raw_input('enter a operand') then how do i connect op and two variables a and b?? i know i can compare op to +, -, %, $ and then assign and compute.... but can i do something like a op b , how to tell compiler that op is an operator?? any tweaks possible?

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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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  • 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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  • Windows path in python

    - by Gareth
    Hi all. What is the best way to represent a windows directory, for example "C:\meshes\as"? I have been trying to modify a script but it never works because I can't seem to get the directory right, I assume because of the '\' acting as escape character? Thanks, Gareth

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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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  • Proper way to assert type of variable in Python

    - by Morlock
    In using a function, I wish to ensure that the type of the variables are as expected. How to do it right? Here is an example fake function trying to do just this before going on with its role: def my_print(text, begin, end): """Print text in UPPER between 'begin' and 'end' in lower """ for i in (text, begin, end): assert type(i) == type("") out = begin.lower() + text.upper() + end.lower() print out Is this approach valid? Should I use something else than type(i) == type("") ? Should I use try/except instead? Thanks pythoneers

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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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  • strange behavior in python

    - by fsm
    The tags might not be accurate since I am not sure where the problem is. I have a module where I am trying to read some data from a socket, and write the results into a file (append) It looks something like this, (only relevant parts included) if __name__ == "__main__": <some init code> for line in file: t = Thread(target=foo, args=(line,)) t.start() while nThreads > 0: time.sleep(1) Here are the other modules, def foo(text): global countLock, nThreads countLock.acquire() nThreads += 1 countLock.release() """connect to socket, send data, read response""" writeResults(text, result) countLock.acquire() nThreads -= 1 countLock.release() def writeResults(text, result): """acquire file lock""" """append to file""" """release file lock""" Now here's the problem. Initially, I had a typo in the function 'foo', where I was passing the variable 'line' to writeResults instead of 'text'. 'line' is not defined in the function foo, it's defined in the main block, so I should have seen an error, but instead, it worked fine, except that the data was appended to the file multiple times, instead of being written just once, which is the required behavior, which I got when I fixed the typo. My question is, 1) Why didn't I get an error? 2) Why was the writeResults function being called multiple times?

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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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  • Most efficient way to search the last x lines of a file in python

    - by Harley
    I have a file and I don't know how big it's going to be (it could be quite large, but the size will vary greatly). I want to search the last 10 lines or so to see if any of them match a string. I need to do this as quickly and efficiently as possible and was wondering if there's anything better than: s = "foo" last_bit = fileObj.readlines()[-10:] for line in last_bit: if line == s: print "FOUND"

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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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  • 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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  • 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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  • 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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  • FIFO dequeueing in python?

    - by Aaron Ramsey
    hello again everybody— I'm looking to make a functional (not necessarily optimally efficient, as I'm very new to programming) FIFO queue, and am having trouble with my dequeueing. My code looks like this: class QueueNode: def __init__(self, data): self.data = data self.next = None def __str__(self): return str(self.data) class Queue: def__init__(self): self.front = None self.rear = None self.size = 0 def enqueue(self, item) newnode = QueueNode(item) newnode.next = None if self.size == 0: self.front = self.rear = newnode else: self.rear = newnode self.rear.next = newnode.next self.size = self.size+1 def dequeue(self) dequeued = self.front.data del self.front self.size = self.size-1 if self.size == 0: self.rear = None print self.front #for testing if I do this, and dequeue an item, I get the error "AttributeError: Queue instance has no attribute 'front'." I guess my function doesn't properly assign the new front of the queue? I'm not sure how to fix it though. I don't really want to start from scratch, so if there's a tweak to my code that would work, I'd prefer that—I'm not trying to minimize runtime so much as just get a feel for classes and things of that nature. Thanks in advance for any help, you guys are the best.

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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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  • Reading Python Documentation for 3rd party modules

    - by Shadyabhi
    I recently downloaded IMDbpy moduele.. When I do, import imdb help(imdb) i dont get the full documentation.. I have to do im = imdb.IMDb() help(im) to see the available methods. I dont like this console interface. Is there any better way of reading the doc. I mean all the doc related to module imdb in one page..

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  • Python to read wsdl not working

    - by Kundan Kumar
    I am trying this code to fetch data from wsdl. Querying the website for the zipid("60630") works fine but in my code it gives the error as "Invalid ZIP" wsdlFile = 'http://wsf.cdyne.com/WeatherWS/Weather.asmx?wsdl' wsdlObject = WSDL.Proxy(wsdlFile) wsdlObject.show_methods() zipid = "60630" result = wsdlObject.GetCityWeatherByZIP(ZIP=zipid) print result[1] Can someone please help whats wrong here and why the code is not working correctly. Thanks !!!

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