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  • Python, Matplotlib, subplot: How to set the axis range?

    - by someone
    How can I set the y axis range of the second subplot to e.g. [0,1000] ? The FFT plot of my data (a column in a text file) results in a (inf.?) spike so that the actual data is not visible. pylab.ylim([0,1000]) has no effect, unfortunately. This is the whole script: # based on http://www.swharden.com/blog/2009-01-21-signal-filtering-with-python/ import numpy, scipy, pylab, random xs = [] rawsignal = [] with open("test.dat", 'r') as f: for line in f: if line[0] != '#' and len(line) > 0: xs.append( int( line.split()[0] ) ) rawsignal.append( int( line.split()[1] ) ) h, w = 3, 1 pylab.figure(figsize=(12,9)) pylab.subplots_adjust(hspace=.7) pylab.subplot(h,w,1) pylab.title("Signal") pylab.plot(xs,rawsignal) pylab.subplot(h,w,2) pylab.title("FFT") fft = scipy.fft(rawsignal) #~ pylab.axis([None,None,0,1000]) pylab.ylim([0,1000]) pylab.plot(abs(fft)) pylab.savefig("SIG.png",dpi=200) pylab.show() Other improvements are also appreciated!

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  • installing NUMPY for Mac OSX 10.7. (Lion) for use with Python

    - by user1744871
    I Need to use nltk and numpy with Python. I am a newbie to Python and initially used the python 2.7.3 that came with my mac (currently running OSX 10.7.5). I learned that the apple version of python may not be robust so I downloaded the standard version from python.org. I have downloaded the nltk program for Mac OSX 10.7. This seemed to install fine. I am trying to download and install numpy using the instructions from the scipy website. http://www.scipy.org/Installing_SciPy/Mac_OS_X. I cloned numpy from github but when I tried to build it using the following command $ python setup.py build I received the following error MacOS/Python: can't open file 'setup.py': [Errno 2] No such file or directory I also tried to build it using the scons command $ python setupscons.py scons --jobs=2 and received the following error /Library/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python: can't open file 'setupscons.py': [Errno 2] No such file or directory Can anyone think of a possible workaround?

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  • cPickle ImportError: No module named multiarray

    - by Rafal
    Hello, I'm using cPickle to save my Database into file. The code looks like that: def Save_DataBase(): import cPickle from scipy import * from numpy import * a=Results.VersionName #filename='D:/results/'+a[a.find('/')+1:-a.find('/')-2]+Results.AssType[:3]+str(random.randint(0,100))+Results.Distribution+".lft" filename='D:/results/pppp.lft' plik=open(filename,'w') DataOutput=[[[DataBase.Arrays.Nodes,DataBase.Arrays.Links,DataBase.Arrays.Turns,DataBase.Arrays.Connectors,DataBase.Arrays.Zones], [DataBase.Nodes.Data,DataBase.Links.Data,DataBase.Turns.Data,DataBase.OrigConnectors.Data,DataBase.DestConnectors.Data,DataBase.Zones.Data], [DataBase.Nodes.DictionaryPy2Vis,DataBase.Links.DictionaryPy2Vis,DataBase.Turns.DictionaryPy2Vis,DataBase.OrigConnectors.DictionaryPy2Vis,DataBase.DestConnectors.DictionaryPy2Vis,DataBase.Zones.DictionaryPy2Vis], [DataBase.Nodes.DictionaryVis2Py,DataBase.Links.DictionaryVis2Py,DataBase.Turns.DictionaryVis2Py,DataBase.OrigConnectors.DictionaryVis2Py,DataBase.DestConnectors.DictionaryVis2Py,DataBase.Zones.DictionaryVis2Py], [DataBase.Paths.List]],[Results.VersionName,Results.noZones,Results.noNodes,Results.noLinks,Results.noTurns,Results.noTrips, Results.Times.VersionLoad,Results.Times.GetData,Results.Times.GetCoords,Results.Times.CrossTheTime,Results.Times.Plot_Cylinder, Results.AssType,Results.AssParam,Results.tStart,Results.tEnd,Results.Distribution,Results.tVector]] cPickle.dump(DataOutput, plik, protocol=0) plik.close()` And it works fine. Most of my Database rows are lists of a lists, vecor-like, or array-like data sets. But now when I input data, an error occurs: def Load_DataBase(): import cPickle from scipy import * from numpy import * filename='D:/results/pppp.lft' plik= open(filename, 'rb') """ first cPickle load approach """ A= cPickle.load(plik) """ fail """ """ Another approach - data format exact as in Output step above , also fails""" [[[DataBase.Arrays.Nodes,DataBase.Arrays.Links,DataBase.Arrays.Turns,DataBase.Arrays.Connectors,DataBase.Arrays.Zones], [DataBase.Nodes.Data,DataBase.Links.Data,DataBase.Turns.Data,DataBase.OrigConnectors.Data,DataBase.DestConnectors.Data,DataBase.Zones.Data], [DataBase.Nodes.DictionaryPy2Vis,DataBase.Links.DictionaryPy2Vis,DataBase.Turns.DictionaryPy2Vis,DataBase.OrigConnectors.DictionaryPy2Vis,DataBase.DestConnectors.DictionaryPy2Vis,DataBase.Zones.DictionaryPy2Vis], [DataBase.Nodes.DictionaryVis2Py,DataBase.Links.DictionaryVis2Py,DataBase.Turns.DictionaryVis2Py,DataBase.OrigConnectors.DictionaryVis2Py,DataBase.DestConnectors.DictionaryVis2Py,DataBase.Zones.DictionaryVis2Py], [DataBase.Paths.List]],[Results.VersionName,Results.noZones,Results.noNodes,Results.noLinks,Results.noTurns,Results.noTrips, Results.Times.VersionLoad,Results.Times.GetData,Results.Times.GetCoords,Results.Times.CrossTheTime,Results.Times.Plot_Cylinder, Results.AssType,Results.AssParam,Results.tStart,Results.tEnd,Results.Distribution,Results.tVector]]= cPickle.load(plik)` Error is (in both cases): A= cPickle.load(plik) ImportError: No module named multiarray Any Ideas? PS.

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  • Python TypeError: an integer is required

    - by kartiku
    import scipy,array def try_read_file(): def line_reader(lines): for l in lines: i = l.find('#') if i != -1: l = l[:i] l = l.strip() if l: yield l def column_counter(): inputer = (line.split() for line in line_reader(file('/home/kartik/Downloads/yahoo_dataset/set1.train.txt'.strip()))) loopexit = 0 for line in inputer: feature_tokens = (token.split(':') for token in line[6:]) feature_ids = array.array('I') for t in feature_tokens: feature_ids.append(int (t[0])) tmpLength = feature_ids[-1] print feature_ids loopexit = loopexit + 1 if loopexit > 0: break return tmpLength def line_counter(): inputer = (line.split() for line in line_reader(file('/home/kartik/Downloads/yahoo_dataset/set1.train.txt'.strip()))) noOfRows = 0 for line in inputer: noOfRows = noOfRows + 1 return noOfRows inputer = (line.split() for line in line_reader(file('/home/kartik/Downloads/yahoo_dataset/set1.train.txt'.strip()))) feature_id_list = [] feature_value_list = [] relevance_list = [] noOfRows = line_counter() noOfCols = column_counter() print noOfRows print noOfCols # line 52 #Create the feature array feature_array = scipy.zeros((noOfRows,noOfCols), float) rowCounter = 1; for line in inputer: feature_tokens = (token.split(':') for token in line[6:]) feature_ids = array.array('I') feature_values = array.array('f') for t in feature_tokens: feature_ids.append(int(t[0])) if (t[0]!=colCounter): feature_array[rowCounter,colCounter] = 0 else: feature_array[rowCounter,colCounter] = t[1] feature_values.append(float(t[1])) colCounter = colCounter + 1; label = float(line[0]) assert(line[1].startswith('qid:')) query_id = int(line[1][4:]) feature_id_list.append(feature_ids) feature_value_list.append(feature_values) relevance_list.append(label) rowCounter = rowCounter + 1; return feature_array Error: Traceback (most recent call last): File "<pyshell#97>", line 1, in <module> try_read_file() File "/home/kartik/Python/prelim_read.py", line 52, in try_read_file print noOfCols TypeError: an integer is required What is the problem, i couldn't figure it out? I tried to debug it, but it doesnt really go inside those methods. It gives me an address in place of those variables.

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  • Matplotlib PDF export uses wrong font

    - by Konrad Rudolph
    I want to generate high-quality diagrams for a presentation. I’m using Python’s matplotlib to generate the graphics. Unfortunately, the PDF export seems to ignore my font settings. I tried setting the font both by passing a FontProperties object to the text drawing functions and by setting the option globally. For the record, here is a MWE to reproduce the problem: import scipy import matplotlib matplotlib.use('cairo') import matplotlib.pylab as pylab import matplotlib.font_manager as fm data = scipy.arange(5) for font in ['Helvetica', 'Gill Sans']: fig = pylab.figure() ax = fig.add_subplot(111) ax.bar(data, data) ax.set_xticks(data) ax.set_xticklabels(data, fontproperties = fm.FontProperties(family = font)) pylab.savefig('foo-%s.pdf' % font) In both cases, the produced output is identical and uses Helvetica (and yes, I do have both fonts installed). Just to be sure, the following doesn’t help either: matplotlib.rc('font', family = 'Gill Sans') Finally, if I replace the backend, instead using the native viewer: matplotlib.use('MacOSX') I do get the correct font displayed – but only in the viewer GUI. The PDF output is once again wrong. To be sure – I can set other fonts – but only other classes of font families: I can set serif fonts or fantasy or monospace. But all sans-serif fonts seem to default to Helvetica.

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  • creating a color coded time chart using colorbar and colormaps in python

    - by Rusty
    I'm trying to make a time tracking chart based on a daily time tracking file that I used. I wrote code that crawls through my files and generates a few lists. endTimes is a list of times that a particular activity ends in minutes going from 0 at midnight the first day of the month to however many minutes are in a month. labels is a list of labels for the times listed in endTimes. It is one shorter than endtimes since the trackers don't have any data about before 0 minute. Most labels are repeats. categories contains every unique value of labels in order of how well I regard that time. I want to create a colorbar or a stack of colorbars (1 for eachday) that will depict how I spend my time for a month and put a color associated with each label. Each value in categories will have a color associated. More blue for more good. More red for more bad. It is already in order for the jet colormap to be right, but I need to get desecrate color values evenly spaced out for each value in categories. Then I figure the next step would be to convert that to a listed colormap to use for the colorbar based on how the labels associated with the categories. I think this is the right way to do it, but I am not sure. I am not sure how to associate the labels with color values. Here is the last part of my code so far. I found one function to make a discrete colormaps. It does, but it isn't what I am looking for and I am not sure what is happening. Thanks for the help! # now I need to develop the graph import numpy as np from matplotlib import pyplot,mpl import matplotlib from scipy import interpolate from scipy import * def contains(thelist,name): # checks if the current list of categories contains the one just read for val in thelist: if val == name: return True return False def getCategories(lastFile): ''' must determine the colors to use I would like to make a gradient so that the better the task, the closer to blue bad labels will recieve colors closer to blue read the last file given for the information on how I feel the order should be then just keep them in the order of how good they are in the tracker use a color range and develop discrete values for each category by evenly spacing them out any time not found should assume to be sleep sleep should be white ''' tracker = open(lastFile+'.txt') # open the last file # find all the categories categories = [] for line in tracker: pos = line.find(':') # does it have a : or a ? if pos==-1: pos=line.find('?') if pos != -1: # ignore if no : or ? name = line[0:pos].strip() # split at the : or ? if contains(categories,name)==False: # if the category is new categories.append(name) # make a new one return categories # find good values in order of last day newlabels=[] for val in getCategories(lastDay): if contains(labels,val): newlabels.append(val) categories=newlabels # convert discrete colormap to listed colormap python for ii,val in enumerate(labels): if contains(categories,val)==False: labels[ii]='sleep' # create a figure fig = pyplot.figure() axes = [] for x in range(endTimes[-1]%(24*60)): ax = fig.add_axes([0.05, 0.65, 0.9, 0.15]) axes.append(ax) # figure out the colors to use # stole this function to make a discrete colormap # http://www.scipy.org/Cookbook/Matplotlib/ColormapTransformations def cmap_discretize(cmap, N): """Return a discrete colormap from the continuous colormap cmap. cmap: colormap instance, eg. cm.jet. N: Number of colors. Example x = resize(arange(100), (5,100)) djet = cmap_discretize(cm.jet, 5) imshow(x, cmap=djet) """ cdict = cmap._segmentdata.copy() # N colors colors_i = np.linspace(0,1.,N) # N+1 indices indices = np.linspace(0,1.,N+1) for key in ('red','green','blue'): # Find the N colors D = np.array(cdict[key]) I = interpolate.interp1d(D[:,0], D[:,1]) colors = I(colors_i) # Place these colors at the correct indices. A = zeros((N+1,3), float) A[:,0] = indices A[1:,1] = colors A[:-1,2] = colors # Create a tuple for the dictionary. L = [] for l in A: L.append(tuple(l)) cdict[key] = tuple(L) # Return colormap object. return matplotlib.colors.LinearSegmentedColormap('colormap',cdict,1024) # jet colormap goes from blue to red (good to bad) cmap = cmap_discretize(mpl.cm.jet, len(categories)) cmap.set_over('0.25') cmap.set_under('0.75') #norm = mpl.colors.Normalize(endTimes,cmap.N) print endTimes print labels # make a color list by matching labels to a picture #norm = mpl.colors.ListedColormap(colorList) cb1 = mpl.colorbar.ColorbarBase(axes[0],cmap=cmap ,orientation='horizontal' ,boundaries=endTimes ,ticks=endTimes ,spacing='proportional') pyplot.show()

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  • C++ vs Matlab vs Python as a main language for Computer Vision Postgraduate

    - by Hough
    Hi all, Firstly, sorry for a somewhat long question but I think that many people are in the same situation as me and hopefully they can also gain some benefit from this. I'll be starting my PhD very soon which involve the fields of computer vision, pattern recognition and machine learning. Currently, I'm using opencv (2.1) C++ interface and I especially like its powerful Mat class and the overloaded operations available for matrix and image seamless operations and transformations. I've also tried (and implemented many small vision projects) using opencv python interface (new bindings; opencv 2.1) and I really enjoy python's ability to integrate opencv, numpy, scipy and matplotlib. But recently, I went back to opencv C++ interface because I felt that the official python new bindings were not stable enough and no overloaded operations are available for matrices and images, not to mention the lack of machine learning modules and slow speeds in certain operations. I've also used Matlab extensively in the past and although I've used mex files and other means to speed up the program, I just felt that Matlab's performance was inadequate for real-time vision tasks, be it for fast prototyping or not. When the project becomes larger and larger, many tasks have to be re-written in C and compiled into Mex files increasingly and Matlab becomes nothing more than a glue language. Here comes the sub-questions: For postgrad studies in these fields (machine learning, vision, pattern recognition), what is your main or ideal programming language for rapid prototyping of ideas and testing algorithms contained in papers? For postgrad studies, can you list down the pros and cons of using the following languages? C++ (with opencv + gsl + svmlib + other libraries) vs Matlab (with all its toolboxes) vs python (with the imcomplete opencv bindings + numpy + scipy + matplotlib). Are there computer vision PhD/postgrad students here who are using only C++ (with all its availabe libraries including opencv) without even needing to resort to Matlab or python? In other words, given the current existing computer vision or machine learning libraries, is C++ alone sufficient for fast prototyping of ideas? If you're currently using Java or C# for your postgrad work, can you list down the reasons why they should be used and how they compare to other languages in terms of available libraries? What is the de facto vision/machine learning programming language and its associated libraries used in your university research group? Thanks in advance.

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  • Open source alternative to MATLAB's fmincon function?

    - by dF
    Is there an open-source alternative to MATLAB's fmincon function for constrained linear optimization? I'm rewriting a MATLAB program to use Python / NumPy / SciPy and this is the only function I haven't found an equivalent to. A NumPy-based solution would be ideal, but any language will do.

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  • C++ vs Matlab vs Python as a main language for Computer Vision Research

    - by Hough
    Hi all, Firstly, sorry for a somewhat long question but I think that many people are in the same situation as me and hopefully they can also gain some benefit from this. I'll be starting my PhD very soon which involves the fields of computer vision, pattern recognition and machine learning. Currently, I'm using opencv (2.1) C++ interface and I especially like its powerful Mat class and the overloaded operations available for matrix and image operations and seamless transformations. I've also tried (and implemented many small vision projects) using opencv python interface (new bindings; opencv 2.1) and I really enjoy python's ability to integrate opencv, numpy, scipy and matplotlib. But recently, I went back to opencv C++ interface because I felt that the official python new bindings were not stable enough and no overloaded operations are available for matrices and images, not to mention the lack of machine learning modules and slow speeds in certain operations. I've also used Matlab extensively in the past and although I've used mex files and other means to speed up the program, I just felt that Matlab's performance was inadequate for real-time vision tasks, be it for fast prototyping or not. When the project becomes larger and larger, many tasks have to be re-written in C and compiled into Mex files increasingly and Matlab becomes nothing more than a glue language. Here comes the sub-questions: For carrying out research in these fields (machine learning, vision, pattern recognition), what is your main or ideal programming language for rapid prototyping of ideas and testing algorithms contained in papers? For computer vision research work, can you list down the pros and cons of using the following languages? C++ (with opencv + gsl + svmlib + other libraries) vs Matlab (with all its toolboxes) vs python (with the imcomplete opencv bindings + numpy + scipy + matplotlib). Are there computer vision PhD/postgrad students here who are using only C++ (with all its availabe libraries including opencv) without even needing to resort to Matlab or python? In other words, given the current existing computer vision or machine learning libraries, is C++ alone sufficient for fast prototyping of ideas? If you're currently using Java or C# for your research, can you list down the reasons why they should be used and how they compare to other languages in terms of available libraries? What is the de facto vision/machine learning programming language and its associated libraries used in your research group? Thanks in advance. Edit: As suggested, I've opened the question to both academic and non-academic computer vision/machine learning/pattern recognition researchers and groups.

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  • What is your favorite NumPy feature?

    - by Gökhan Sever
    Share your favourite NumPy features / tips & tricks. Please try to limit one feature per line. The question is posted in parallel at ask.scipy.org We welcome you to join the conversation there -with the main idea of collecting the Scientific Python related questions under one roof. Feel free to dual-post or post at your favourite site...

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  • Wrong package for Idle-python2.7?

    - by adelval
    I'm running python 2.7 in Ubuntu 3.10, and idle (idle-python2.7) has stopped working. Whenever I try to open a file in a editor window, it is blank, though the file does exist and is not empty/blank. Furthermore, it is not possible to close idle after this, except via a terminal kill command. Idle was working fine before. The problem appeared after I installed a number of things, including idlex, various scipy modules and mpmath, but after trying to repair it in several ways, it seems to be caused by Ubuntu's official idle package. I get this error in the terminal when trying to open a file in idle: Exception in Tkinter callback [...lines ommitted for brevity...] File "/usr/lib/python2.7/idlelib/IOBinding.py", line 129, in coding_spec for line in lst: NameError: global name 'lst' is not defined If you look at the code, it looks like an obvious bug: indeed lst is not defined in the function coding_spec. Furthermore, the source file IOBinding.py in http://fossies.org/dox/Python-2.7.5/IOBinding_8py_source.html is different and doesn't show the problem. Thinking that one of the recently packages had overwritten the file somehow, I've tried a number of things, including reinstalling all Python packages from synaptic, but the wrong IOBinding.py is still there. The reason I think the problem lies with the package itself is that I finally did sudo apt-get remove idle, verified that the idlelib directory was empty, and reinstalled with sudo apt-get install idle; but the wrong IOBinding.py file came back again. I can in fact make idle work again by simply replacing lst by str in the code, but to me that's clearly a no-no. I'm not to happy either about trying to replace just that file from the source python distribution, as other files may be wrong. I want to get the right files from the official package.

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  • Python in Finance by Yuxing Yan, Packt Publishing Book Review

    - by Compudicted
    Originally posted on: http://geekswithblogs.net/Compudicted/archive/2014/06/04/python-in-finance-by-yuxing-yan-packt-publishing-book-review.aspx I picked Python in Finance from Packt Publishing to review expecting to bore myself with complex algorithms and senseless formulas while seeing little actual Python in action, indeed at 400 pages plus it may seem so. But, it turned out to be quite the opposite. I learned a lot about practical implementations of various Python modules as SciPy, NumPy and several more, I think they empower a developer a lot. No wonder Python is on the track to become a de-facto scientist language of choice! But I am not going to compromise the truth, the book does discuss numerous financial terms, many of them, and this is where the enormous power of this book is coming from: it is like standing on the shoulders of a giant. Python is that giant - flexible and powerful, yet very approachable. The TOC is very detailed thanks to Packt, any one can see what financial algorithms are covered, I am only going to name a few which I had most fun with (though all of them are covered in enough details): Fama*, Fat Tail, ARCH, Monte-Carlo and of course the volatility smile! I am under an impression this book is best suited for students in Finance, especially those who are about to join the workforce, but I suspect the material in this book is very well suited for mature Financists, an investor who has some programming skills and wants to benefit from it, or even a programmer, or a mathematician who already knows Python or any other language, but wants to have fun in Quantitative Finance and earn a few buck! Pure fun, real results, tons of practical insight from reading data from a file to downloading trade data from Yahoo! Lastly, I need to complement Yuxing – he is a talented teacher, this book could not be what it is otherwise. It is a 5 out of 5 product. Disclaimer: I received a  free copy of this book for review purposes from the publisher.

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  • Language Niches and Niche Libraries

    - by Roman A. Taycher
    "Everyone Knows" ... ... that c is widely used for low level programs in large part because operating system/device apis are usually in c. ... that Java is widely used for enterprise applications in large part because of enterprise libraries and ide support. ... that ruby is widely used for webapps thanks in large part because of rails and its library ecosytem But lets go into to details what are the specific niches and subniches. Especially with respect to libraries. Where might you embed lua for application scripting versus python. Where would you use Java vs C#. Which languages do different scientists use? Also which languages have libraries for these subniches? Things like bioperl/scipy/Incanter. Please no flamewars about how nice each language or environment is. This is where they used. Also no complaints about marketing/PHBs. (Manually migrated) I asked this question again after it was closed on stackoverflow.com

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  • Python and Postgresql

    - by Ian
    Hi all, if you wanted to manipulate the data in a table in a postgresql database using some python (maybe running a little analysis on the result set using scipy) and then wanted to export that data back into another table in the same database, how would you go about the implementation? Is the only/best way to do this to simply run the query, have python store it in an array, manipulate the array in python and then run another sql statement to output to the database? I'm really just asking, is there a more efficient way to deal with the data? Thanks, Ian

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  • Ironpython call numpy problem

    - by Begtostudy
    Ironpython 2.6, python 2.6.5, numpy, SciPy import sys sys.path.append(r'D:\Python26\dll') sys.path.append(r'D:\Python26\Lib') sys.path.append(r'D:\Python26\Lib\site-packages') » import numpy Traceback (most recent call last): File "<string>", line 1, in <module> File "D:\Python26\Lib\site-packages\numpy\__init__.py", line 132, in <module> File "D:\Python26\Lib\site-packages\numpy\add_newdocs.py", line 9, in <module> File "D:\Python26\Lib\site-packages\numpy\lib\__init__.py", line 4, in <module> File "D:\Python26\Lib\site-packages\numpy\lib\type_check.py", line 8, in <module> File "D:\Python26\Lib\site-packages\numpy\core\__init__.py", line 5, in <module> ImportError: No module named multiarray What's wrong? Thanks.

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  • Write a MAT file without using matlab headers and libraries.

    - by YuppieNetworking
    Hello all, I have some data that I would like to save to a MAT file (version 4 or 5, or any version, for that matter). The catch: I wanted to do this without using matlab libraries, since this code will not necessary run in a machine with matlab. My program uses Java and C++, so any existing library in those languages that achieves this could help me out... I did some research but did not find anything in Java/C++. However, I found that scipy on python achieves this with mio4.py or mio5.py. I thought about implementing this on java or C++, but it seems a bit out of my time schedule. So the question is: is there any libraries in Java or C/C++ that permits saving MAT files without using Matlab libraries? Thanks a lot

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  • Python: x-y-plot with matplotlib

    - by kame
    I want to plot some data. The first column contains the x-data. But matplotlib doesnt plot this. Where is my mistake? #fresnel formula import numpy as np from numpy import cos from scipy import * from pylab import plot, show, ylim, yticks from matplotlib import * from pprint import pprint n1 = 1.0 n2 = 1.5 #alpha, beta, intensity data = [ [10, 22, 4.3], [20, 42, 4.2], [30, 62, 3.6], [40, 83, 1.3], [45, 102, 2.8], [50, 123, 3.0], [60, 143, 3.2], [70, 163, 3.8], ] for i in range(len(data)): rhotang1 = (n1 * cos(data[i][0]) - n2 * cos(data[i][1])) rhotang2 = (n1 * cos(data[i][0]) + n2 * cos(data[i][1])) rhotang = rhotang1 / rhotang2 data[i].append(rhotang) #append 4th value pprint(data) x = data[:][0] y1 = data[:][2] y3 = data[:][3] plot(x, y1, x, y3) show() EDIT: http://paste.pocoo.org/show/205534/ But it doesnt work.

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  • .Net Array or IList<T> from NumPy array in IronPython?

    - by Barry Wark
    Imagine I have a .Net application that supports user extensions in the form of Python modules by embedding IronPython. Using Ironclad, I can allow users to make use of the NumPy and SciPy packages from within their modules. How good is the interop provided by Ironclad? My question is: can I use a NumPy array of type T provided by the user's module in the rest of my app that requires an IList<T>? Edit To clarify, IronPython exposes any Python enumerable of objects of type T as an IEnumerable<T> or an IList<T>. I'm not sure if NumPy arrays fit in this category. I would rather not have to call .tolist() on the NumPy array as the arrays may be quite large.

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  • How to use sans-serif family, arial font in matplotlib, in ubuntu 12.04 lts?

    - by Shawn Wang
    I installed Ubuntu 12.04 LTS and the Scipy stack. I tried to set in matplotlibrc to use sans-serif family, arial font as default. While this has been working on my Windows computer, it reported the following warning: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to Bitstream Vera Sans (prop.get_family(), self.defaultFamily[fontext])) And it seems that the font is either not installed, or in a wrong name. I think I have installed the TrueType font (by googling), but I'd really appreciate it if anyone could help me to set the font family in the system with the name 'sans-serif' and find the relevant font files that belongs to this folder. Thank you! -Shawn

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  • Python KMeans clustering words

    - by sadawd
    Dear Everyone I am interested to perform kmeans clustering on a list of words with the distance measure being Leveshtein. 1) I know there are a lot of frameworks out there, including scipy and orange that has a kmeans implementation. However they all require some sort of vector as the data which doesn't really fit me. 2) I need a good clustering implementation. I looked at python-clustering and realize that it doesn't a) return the sum of all the distance to each centroid, and b) it doesn't have any sort of iteration limit or cut off which ensures the quality of the clustering. python-clustering and the clustering algorithm on daniweb doesn't really work for me. Can someone find me a good lib? Google hasn't been my friend

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  • How to embed a Python interpreter in a PyQT widget

    - by Mathias
    I want to be able to bring up an interactive python terminal from my python application. Some, but not all, variables in my program needs to be exposed to the interpreter. Currently I use a sub-classed and modified QPlainTextEdit and route all "commands" there to eval or exec, and keep track of a separate namespace in a dict. However there got to be a more elegant and robust way! How? Here is an example doing just what I want, but it is with IPython and pyGTK... http://ipython.scipy.org/moin/Cookbook/EmbeddingInGTK

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