PyFITS: hdulist.writeto()

I'm extracting extensions from a multi-extension FITS file, manipulate the data, and save the data (with the extension's header information) to a new FITS file.

To my knowledge pyfits.writeto() does the task. However, when I give it a data parameter in the form of an array, it gives me the error:

    'AttributeError: 'numpy.ndarray' object has no attribute 'lower''

Here is a sample of my code:

    'file = 'hst_11166_54_wfc3_ir_f110w_drz.fits'
     hdulist = pyfits.open(dir + file)'
     sci = hdulist[1].data # science image data
     exp = hdulist[5].data # exposure time data
     sci = sci*exp # converts electrons/second to electrons
     file = 'test_counts.fits'

     hdulist.writeto(file,sci,clobber=True)

     hdulist.close()

I appreciate any help with this. Thanks in advance.

via Chebli Mohamed

Form for user registration in Django

I`m trying to write the register form for my website, my code is as follows. the problem is when I press the submit button in the registration page nothing actually happens... I already appreciate your help.

register.html

<form id="reg_form" action="/register/" method="post" >
    <div class="container">
        <div class="row">

            <div class="col-md-6">
                <div class="corner" style="margin-top: 5pt;">
                    <label>قوانین عضویت:</label>

                    <div class="form-group">
                        <label for="accept">با قوانین سایت موافقم</label>
                        <input type="checkbox"  id="accept"/>
                    </div>
                </div>

               <button type="submit" class="btn btn-success" data-dismiss="modal" style="width: 100%;font-size: xx-large; margin-top: 10pt;">ثبت</button>
            </div>
            <div class="col-md-6">
                <div class="form-group">
                    <label for="fname">نام:</label>
                    <input type="text" class="form-control" id="fname"/>
                </div>
                <div class="form-group">
                    <label for="lname">نام خانوادگی:</label>
                    <input type="text" class="form-control" id="lname">
                </div>
                <div class="form-group">
                    <label for="email">ایمیل:</label>
                    <input type="email" class="form-control" id="email">
                </div>
                <div class="form-group">
                    <label for="phone">شماره تماس:</label>
                    <input type="text" class="form-control" id="phone">
                </div>
                <div class="form-group">
                    <label for="address">آدرس:</label>
                    <input type="text" class="form-control" id="address">
                </div>
                <div class="form-group">
                    <label for="pwd">رمز عبور:</label>
                    <input type="password" class="form-control" id="pwd">
                </div>
                <div class="form-group">
                    <label for="pwd2">تکرار رمز عبور:</label>
                    <input type="password" class="form-control" id="pwd2">
                </div>

            </div>
        </div>

    </div>
    </form>

views.py ________________________________________________________________

def register(request):
    if request.method == 'POST':
        fname=request.POST['fname']
        lname=request.POST['lname']
        email=request.POST['email']
        phone=request.POST['phone']
        address=request.POST['address']
        pwd=request.POST['pwd']

        user=User.objects.create_user(username=email, password=pwd )
        user.save()
        return HttpResponseRedirect("/home/")
    return render(request, 'Register.html')

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pip install requests[security] vs pip install requests: Difference

I am using Ubuntu 14.04 with python version 2.7.6. Today, when I created a new virtualenv and tried doing pip install requests , I got the error InsecurePlatformWarning.

I resolved this issue by following the instructions over here

SSL InsecurePlatform error when using Requests package

But I want to understand what is the actual difference between these two commands: pip install requests[security] and pip install requests .

1) Why does the former install 3 additional packages?

2) Are there any things that I need to take care about when I push the code to production?

3) Do they both behave the same generally?

I searched a lot on stackoverflow and elsewhere, but couldn't find the answer. If it has already been answered then please post the link.

Thanks.

via Chebli Mohamed

Plot 4th dimension with Python

I would to know if there is the possibility to plot in four dimensions using python. In particular I would to have a tridimensional mesh X, Y, Z and f(X,Y,Z) = 1 or f(X,Y,Z) = 0. So I need to a symbol (for example "o" or "x") for some specific point (X,Y,Z). I don't need to a color scale.

Note that I have 100 matrices (512*512) composed by 1 or 0: so my mesh should be 512*512*100.

I hope I have been clear! Thanks.

EDIT: This is my code:

X = np.arange(W.shape[2])
Y = np.arange(W.shape[1])
Z = np.arange(W.shape[0])
X, Y, Z = np.meshgrid(X, Y, Z)
fig = plt.figure()
ax = fig.gca(projection='3d')
for z in range(W.shape[0]):
    indexes = np.where(W[z])
    ax.scatter(X[indexes], Y[indexes], ???, marker='.')

ax.set_xlabel('X = columns')
ax.set_ylabel('Y = rows')
ax.set_zlabel('Z')
plt.show()

W is my tridimensional matrix, so: W[0], W[1], etc are 512x512 matrices. My question is: what have I to write insted of ??? in my code. I know I shouldn't ask this, but I can't understand the idea.

via Chebli Mohamed

Extract part of a url using pattern matching in python

I want to extract part of a url using pattern matching in python from a list of links

Examples:

http://ift.tt/1KNZ7nE  
http://ift.tt/1g4Fr1i   

This is my regex:

re.match(r'(http?|ftp)(://[a-zA-Z0-9+&/@#%?=~_|!:,.;]*)(.\b[a-z]{1,3}\b)(/about[a-zA-Z-_]*/?)', str(href), re.IGNORECASE)  

I want to get links ending only with /about or /about/
but the about regex selects all links with "about" word in it

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python ZeroDivisionError: float division by zero - how to treat it as an exception

I need to calculate the percentage of winning rate and I am having trouble with ZeroDivisionError: float division by zero when there is zero in the denominator. I would like treat it as an exception, print zero and move on to next array. Any assistance would be appreciated.

YearWinLose1 = '0'
YearWinLoseTotalHard2 = '0'

YearWinLoseTotalHard2 = float(YearWinLose1) + float(YearWinLose1)
YearWinLosePercent3 = float(YearWinLose1)/float(YearWinLoseTotalHard2)*100

if YearWinLoseTotalHard2 == 0:
   YearWinLosePercent3 == 0
   print YearWinLosePercent3
else: 
   print YearWinLosePercent3

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pandas - splitting columns

I have some data imported from a csv, to create something similar I used this:

data = pd.DataFrame([[1,0,2,3,4,5],[0,1,2,3,4,5],[1,1,2,3,4,5],[0,0,2,3,4,5]], columns=['split','sex', 'group0Low', 'group0High', 'group1Low', 'group1High'])
means = data.groupby(['split','sex']).mean()

so the dataframe looks something like this:

        group0Low   group0High  group1Low   group1High
split   sex             
0   0   123 54  95  265
    1   98  111 120 220
1   0   211 300 150 190
    1   132 250 139 86

You'll notice that each column actually contains 2 variables (group# and height). It was set up this way for running repeated measures anova in SPSS, but that's beyond the point.

Ideally, I want to use pandas to split the columns up, so I can also groupby "group", like this (I actually screwed up the order of the numbers, but hopefully the idea is clear):

            low high
split   sex group       
    0   0   95  265
0   0   1   123 54
    1   0   120 220
    1   1   98  111
1   0   0   150 190
    0   1   211 300
    1   0   139 86
    1   1   132 250

is how do I achieve this in pandas? Is it even possible?

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