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  • how to capture the right click event using getMouse()

    - by Leyond
    I am trying to use graphics.py to write a user graphics interface. The problem is that how can I capture the right click event? It seems that the function getMouse() could just returns where the mouse was left-clicked as a Point object. from graphics import * def main(): win = GraphWin("My Circle", 100, 100) c = Circle(Point(50,50), 10) c.draw(win) win.getMouse() # pause for click in window win.close() main() I want to know how can I capture the right-click event in the window, thanks.

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  • gevent, sockets and syncronisation

    - by schlamar
    I have multiple greenlets sending on a common socket. Is it guaranteed that each package sent via socket.sendall is well separated or do I have to acquire a lock before each call to sendall. So I want to prevent the following scenario: g1 sends ABCD g2 sends 1234 received data is mixed up, for example AB1234CD expected is either ABCD1234 or 1234ABCD Update After a look at the sourcecode I think this scenario cannot happen. But I have to use a lock because g1 or g2 can crash on the sendall. Can someone confirm this?

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  • How can I have multiple navigation paths with Django, like a simplifies wizard path and a full path?

    - by Zeta
    Lets say I have an application with a structure such as: System set date set name set something Other set death ray target calibrate and I want to have "back" and "next" buttons on a page. The catch is, if you're going in via the "wizard", I want the nav path to be something like "set name" - "set death ray target" - "set name". If you go via the Advanced options menu, I want to just iterate options... "set date" - "set name" - "set something" - "set death ray target" - calibrate. So far, I'm thinking I have to use different URIs, but that's that. Any ideia how this could be done? Thanks.

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  • Generating a .CSV with Several Columns - Use a Dictionary?

    - by Qanthelas
    I am writing a script that looks through my inventory, compares it with a master list of all possible inventory items, and tells me what items I am missing. My goal is a .csv file where the first column contains a unique key integer and then the remaining several columns would have data related to that key. For example, a three row snippet of my end-goal .csv file might look like this: 100001,apple,fruit,medium,12,red 100002,carrot,vegetable,medium,10,orange 100005,radish,vegetable,small,10,red The data for this is being drawn from a couple sources. 1st, a query to an API server gives me a list of keys for items that are in inventory. 2nd, I read in a .csv file into a dict that matches keys with item name for all possible keys. A snippet of the first 5 rows of this .csv file might look like this: 100001,apple 100002,carrot 100003,pear 100004,banana 100005,radish Note how any key in my list of inventory will be found in this two column .csv file that gives all keys and their corresponding item name and this list minus my inventory on hand yields what I'm looking for (which is the inventory I need to get). So far I can get a .csv file that contains just the keys and item names for the items that I don't have in inventory. Give a list of inventory on hand like this: 100003,100004 A snippet of my resulting .csv file looks like this: 100001,apple 100002,carrot 100005,radish This means that I have pear and banana in inventory (so they are not in this .csv file.) To get this I have a function to get an item name when given an item id that looks like this: def getNames(id_to_name, ids): return [id_to_name[id] for id in ids] Then a function which gives a list of keys as integers from my inventory server API call that returns a list and I've run this function like this: invlist = ServerApiCallFunction(AppropriateInfo) A third function takes this invlist as its input and returns a dict of keys (the item id) and names for the items I don't have. It also writes the information of this dict to a .csv file. I am using the set1 - set2 method to do this. It looks like this: def InventoryNumbers(inventory): with open(csvfile,'w') as c: c.write('InvName' + ',InvID' + '\n') missinginvnames = [] with open("KeyAndItemNameTwoColumns.csv","rb") as fp: reader = csv.reader(fp, skipinitialspace=True) fp.readline() # skip header invidsandnames = {int(id): str.upper(name) for id, name in reader} invids = set(invidsandnames.keys()) invnames = set(invidsandnames.values()) invonhandset = set(inventory) missinginvidsset = invids - invonhandset missinginvids = list(missinginvidsset) missinginvnames = getNames(invidsandnames, missinginvids) missinginvnameswithids = dict(zip(missinginvnames, missinginvids)) print missinginvnameswithids with open(csvfile,'a') as c: for invname, invid in missinginvnameswithids.iteritems(): c.write(invname + ',' + str(invid) + '\n') return missinginvnameswithids Which I then call like this: InventoryNumbers(invlist) With that explanation, now on to my question here. I want to expand the data in this output .csv file by adding in additional columns. The data for this would be drawn from another .csv file, a snippet of which would look like this: 100001,fruit,medium,12,red 100002,vegetable,medium,10,orange 100003,fruit,medium,14,green 100004,fruit,medium,12,yellow 100005,vegetable,small,10,red Note how this does not contain the item name (so I have to pull that from a different .csv file that just has the two columns of key and item name) but it does use the same keys. I am looking for a way to bring in this extra information so that my final .csv file will not just tell me the keys (which are item ids) and item names for the items I don't have in stock but it will also have columns for type, size, number, and color. One option I've looked at is the defaultdict piece from collections, but I'm not sure if this is the best way to go about what I want to do. If I did use this method I'm not sure exactly how I'd call it to achieve my desired result. If some other method would be easier I'm certainly willing to try that, too. How can I take my dict of keys and corresponding item names for items that I don't have in inventory and add to it this extra information in such a way that I could output it all to a .csv file? EDIT: As I typed this up it occurred to me that I might make things easier on myself by creating a new single .csv file that would have date in the form key,item name,type,size,number,color (basically just copying in the column for item name into the .csv that already has the other information for each key.) This way I would only need to draw from one .csv file rather than from two. Even if I did this, though, how would I go about making my desired .csv file based on only those keys for items not in inventory?

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  • What is __path__ useful for?

    - by Jason Baker
    I had never noticed the __path__ attribute that gets defined on some of my packages before today. According to the documentation: Packages support one more special attribute, __path__. This is initialized to be a list containing the name of the directory holding the package’s __init__.py before the code in that file is executed. This variable can be modified; doing so affects future searches for modules and subpackages contained in the package. While this feature is not often needed, it can be used to extend the set of modules found in a package. Could somebody explain to me what exactly this means and why I would ever want to use it?

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  • App Engine - Save response from an API in the data store as file (blob)

    - by herrherr
    Hi there, I'm banging my head against the wall with this one: What I want to do is store a file that is returned from an API in the data store as a blob. Here is the code that I use on my local machine (which of course works due to an existing file system): client.convertHtml(html, open('html.pdf', 'wb')) Since I cannot write to a file on App Engine I tried several ways to store the response, without success. Any hints on how to do this? I was trying to do it with StringIO and managed to store the response but then weren't able to store it as a blob in the data store. Thanks, Chris

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  • When do you use metaclasses?

    - by johannix
    Just started looking into metaclasses and while they seem powerful, I can think of other ways to accomplish the same type of thing. I was wondering when metaclasses have been found to be the right answer and why.

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  • Merge decorator function as class

    - by SyetemHog
    How to make this merge function as class decorator? def merge(*arg, **kwarg): # get decorator args & kwargs def func(f): def tmp(*args, **kwargs): # get function args & kwargs kwargs.update(kwarg) # merge two dictionaries return f(*args, **kwargs) # return merged data return tmp return func Usage: @other_decorator # return *args and **kwarg @merge(list=['one','two','three']) # need to merge with @other_decorator def test(*a, **k): # get merged args and kwargs print 'args:', a print 'kwargs:', k

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  • Return more then One field from database SQLAlchemy

    - by David Neudorfer
    This line: used_emails = [row.email for row in db.execute(select([halo4.c.email], halo4.c.email!=''))] Returns: ['[email protected]', '[email protected]', '[email protected]', '[email protected]', '[email protected]'] I use this to find a match: if recipient in used_emails: If it finds a match I need to pull another field (halo4.c.code) from the database in the same row. Any suggestions on how to do this?

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  • rename keys in a dictionary

    - by user366660
    i want to rename the keys of a dictionary are which are ints, and i need them to be ints with leading zeros's so that they sort correctly. for example my keys are like: '1','101','11' and i need them to be: '001','101','011' this is what im doing now, but i know there is a better way tmpDict = {} for oldKey in aDict: tmpDict['%04d'%int(oldKey)] = aDict[oldKey] newDict = tmpDict

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  • Setting `axes.linewidth` without changing the `rcParams` global dict

    - by mlvljr
    So, it seems one cannot do the following (it raises an error, since axes does not have a set_linewidth method): axes_style = {'linewidth':5} axes_rect = [0.1, 0.1, 0.9, 0.9] axes(axes_rect, **axes_style) and has to use the following old trick instead: rcParams['axes.linewidth'] = 5 # set the value globally ... # some code rcdefaults() # restore [global] defaults Is there an easy / clean way (may be one can set x- and y- axes parameters individually, etc)? P.S. If no, why?

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  • Django Getting RequestContext in custom tag

    - by greggory.hz
    I'm trying to create a custom tag. Inside this custom tag, I want to be able to have some logic that checks if the user is logged in, and then have the tag rendered accordingly. This is what I have: class UserActionNode(template.Node): def __init__(self): pass def render(self, context): if context.user.is_authenticated(): return render_to_string('layout_elements/sign_in_register.html'); else: return render_to_string('layout_elements/logout_settings.html'); def user_actions(parser, test): return UserActionNode() register.tag('user_actions', user_actions) When I run this, I get this error: Caught AttributeError while rendering: 'Context' object has no attribute 'user' The view that renders this looks like this: return render_to_response('start/home.html', {}, context_instance=RequestContext(request)) Why doesn't the tag get a RequestContext object instead of the Context object? How can I get the tag to receive the RequestContext instead of the Context? EDIT: Whether or not it's possible to get a RequestContext inside a custom tag, I'd still be interested to know the "correct" or best way to determine a user's authentication state from within the custom tag. If that's not possible, then perhaps that kind of logic belongs elsewhere? Where?

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  • Parsing a Multi-Index Excel File in Pandas

    - by rhaskett
    I have a time series excel file with a tri-level column MultiIndex that I would like to successfully parse if possible. There are some results on how to do this for an index on stack overflow but not the columns and the parse function has a header that does not seem to take a list of rows. The ExcelFile looks like is like the following: Column A is all the time series dates starting on A4 Column B has top_level1 (B1) mid_level1 (B2) low_level1 (B3) data (B4-B100+) Column C has null (C1) null (C2) low_level2 (C3) data (C4-C100+) Column D has null (D1) mid_level2 (D2) low_level1 (D3) data (D4-D100+) Column E has null (E1) null (E2) low_level2 (E3) data (E4-E100+) ... So there are two low_level values many mid_level values and a few top_level values but the trick is the top and mid level values are null and are assumed to be the values to the left. So, for instance all the columns above would have top_level1 as the top multi-index value. My best idea so far is to use transpose, but the it fills Unnamed: # everywhere and doesn't seem to work. In Pandas 0.13 read_csv seems to have a header parameter that can take a list, but this doesn't seem to work with parse.

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  • Do not match if word appears in regex

    - by David542
    I have a url, and I want it to NOT match if the word 'season' is contained in the url. Here are two examples: CONTAINS SEASON, DO NOT MATCH 'http://imdb.com/title/tt0285331/episodes?this=1&season=7&ref_=tt_eps_sn_7' DOES NOT CONTAIN SEASON, MATCH 'http://imdb.com/title/tt0285331/ Here is what I have so far, but I'm afraid the .+ will match everything until the end. What would be the correct regex to use here? r'http://imdb.com/title/tt(\d)+/.+^[season].+'

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  • testing existing attribute of a @classmethod function, yields AttributeError

    - by alex
    i have a function which is a class method, and i want to test a attribute of the class which may or may not be None, but will exist always. class classA(): def __init__(self, var1, var2 = None): self.attribute1 = var1 self.attribute2 = var2 @classmethod def func(self,x): if self.attribute2 is None: do something i get the error AttributeError: class classA has no attribute 'attributeB' when i access the attribute like i showed but if on command line i can see it works, x = classA() x.attributeB is None True so the test works. if i remove the @classmethod decorator from func, the problem disapears. if i leave the @classmethod decorator, it only seems to affect variables which are supplied default values in the super-class's constructor. whats going on in the above code?

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  • trouble setting up TreeViews in pygtk

    - by Chris H
    I've got some code in a class that extends gtk.TreeView, and this is the init method. I want to create a tree view that has 3 columns. A toggle button, a label, and a drop down box that the user can type stuff into. The code below works, except that the toggle button doesn't react to mouse clicks and the label and the ComboEntry aren't drawn. (So I guess you can say it doesn't work). I can add rows just fine however. #make storage enable/disable label user entry self.tv_store = gtk.TreeStore(gtk.ToggleButton, str, gtk.ComboBoxEntry) #make widget gtk.TreeView.__init__(self, self.tv_store) #make renderers self.buttonRenderer = gtk.CellRendererToggle() self.labelRenderer = gtk.CellRendererText() self.entryRenderer = gtk.CellRendererCombo() #make columns self.columnButton = gtk.TreeViewColumn('Enabled') self.columnButton.pack_start(self.buttonRenderer, False) self.columnLabel = gtk.TreeViewColumn('Label') self.columnLabel.pack_start(self.labelRenderer, False) self.columnEntry = gtk.TreeViewColumn('Data') self.columnEntry.pack_start(self.entryRenderer, True) self.append_column(self.columnButton) self.append_column(self.columnLabel) self.append_column(self.columnEntry) self.tmpButton = gtk.ToggleButton('example') self.tmpCombo = gtk.ComboBoxEntry(None) self.tv_store.insert(None, 0, [self.tmpButton, 'example label', self.tmpCombo]) thanks.

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  • nested list comprehension using intermediate result

    - by KentH
    I am trying to grok the output of a function which doesn't have the courtesy of setting a result code. I can tell it failed by the "error:" string which is mixed into the stderr stream, often in the middle of a different conversion status message. I have the following list comprehension which works, but scans for the "error:" string twice. Since it is only rescanning the actual error lines, it works fine, but it annoys me I can't figure out how to use a single scan. Here's the working code: errors = [e[e.find('error:'):] for e in err.splitlines() if 'error:' in e] The obvious (and wrong) way to simplify is to save the "find" result errors = [e[i:] for i in e.find('error:') if i != -1 for e in err.splitlines()] However, I get "UnboundLocalError: local variable 'e' referenced before assignment". Blindly reversing the 'for's in the comprehension also fails. How is this done? THanks. Kent

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  • Take data from an XML file and put it into a MySQL database

    - by Aidan
    Hi Guys, I'm looking to construct a script that would go through an XML file. Would find specific tags in it, put them in a table and fill the table with specific tags within them. I'm using MySQL 5.1 so loadXML isn't an option and I think that ExtractData() method wont be much use either.. but I don't really know. What would be the best way to go about this?

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  • MemoryError when running Numpy Meshgrid

    - by joaoc
    I have 8823 data points with x,y coordinates. I'm trying to follow the answer on how to get a scatter dataset to be represented as a heatmap but when I go through the X, Y = np.meshgrid(x, y) instruction with my data arrays I get MemoryError. I am new to numpy and matplotlib and am essentially trying to run this by adapting the examples I can find. Here's how I built my arrays from a file that has them stored: XY_File = open ('XY_Output.txt', 'r') XY = XY_File.readlines() XY_File.close() Xf=[] Yf=[] for line in XY: Xf.append(float(line.split('\t')[0])) Yf.append(float(line.split('\t')[1])) x=array(Xf) y=array(Yf) Is there a problem with my arrays? This same code worked when put into this example but I'm not too sure. Why am I getting this MemoryError and how can I fix this?

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  • Decorator that can take both init args and call args?

    - by digitala
    Is it possible to create a decorator which can be __init__'d with a set of arguments, then later have methods called with other arguments? For instance: from foo import MyDecorator bar = MyDecorator(debug=True) @bar.myfunc(a=100) def spam(): pass @bar.myotherfunc(x=False) def eggs(): pass If this is possible, can you provide a working example?

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