You should write the pickled data with a lower protocol number in Python 3. Python 3 introduced a new protocol with the number `3` (and uses it as default), so switch back to a value of `2` which can be read by Python 2.

Check the `protocol`parameter in [`pickle.dump`](https://docs.python.org/3/library/pickle.html#pickle.dump). Your resulting code will look like this.

    pickle.dump(your_object, your_file, protocol=2)

There is no `protocol`parameter in [`pickle.load`](https://docs.python.org/3/library/pickle.html#pickle.load) because `pickle` can determine the protocol from the file.

Pickle uses different `protocols` to convert your data to a binary stream.

* In python 2 there are [3 different protocols][1] (`0`, `1`, `2`) and the default is `0`.

* In python 3 there are [5 different protocols][2] (`0`, `1`, `2`, `3`, `4`) and the default is `3`.

You must specify in python 3 a protocol lower than `3` in order to be able to load the data in python 2. You can specify the `protocol` parameter when invoking [`pickle.dump`][3].

  [1]: https://docs.python.org/2/library/pickle.html#data-stream-format
  [2]: https://docs.python.org/3/library/pickle.html#data-stream-format
  [3]: https://docs.python.org/2/library/pickle.html#pickle.dump

I am looking for documentation *or* examples on how to extract text from a PDF file using PDFMiner with Python.

It looks like PDFMiner updated their API and all the relevant examples I have found contain outdated code(classes and methods have changed).  The libraries I have found that make the task of extracting text from a PDF file easier are using the old PDFMiner syntax so I&#39;m not sure how to do this.

As it is, I&#39;m just looking at source-code to see if I can figure it out. 

Extracting text from a PDF file using PDFMiner in python?

In OpenID Connect an *access token* has an expiry time.  For authorization code flow, this is typically short (eg 20 minutes) after which you use the refresh token to request a new access token.

The *ID token* also has an expiry time.  My question is what is the intent of this?

Any ID token expiry time less than the expiry time of the refresh token will mean you will eventually have an expired ID token, but a valid access token.

So are you meant to:

 - give your ID token an expiry longer than the refresh token expiry, or
 - set it to the same expiry as the access token and take some action (what?) when it expires, or
 - just consume the ID token in your client on receipt, then ignore the expiry time after that?

The [OpenID Connect specification](http://openid.net/specs/openid-connect-core-1_0.html#IDTokenValidation) just says that when validating an ID token, 

    &quot;The current time MUST be before the time represented by the exp Claim.&quot;
which (possibly) supports the third option above.

------------
**EDIT**

As OpenID Connect builds on OAuth2 the answer to the supplementary question below can be found in the [OAuth2 specification](https://www.rfc-editor.org/rfc/rfc6749#section-5.1) which says,

    expires_in
         RECOMMENDED.  The lifetime in seconds of the access token.
 
-------------
A related question is when you exchange an authorization code for the tokens, the same specification says you might get a response such as:

    {
     &quot;access_token&quot;: &quot;SlAV32hkKG&quot;,
     &quot;token_type&quot;: &quot;Bearer&quot;,
     &quot;refresh_token&quot;: &quot;8xLOxBtZp8&quot;,
     &quot;expires_in&quot;: 3600,
     &quot;id_token&quot;: &quot;eyJhbG[...]&quot;
    }
But what does &quot;expires_in&quot; relate to in this case?  The access token, the refresh token or the ID token?

(For information, [IdentityServer3](https://github.com/thinktecture/Thinktecture.IdentityServer.v3) sets this to the access token expiry time).

What is intent of ID Token expiry time in OpenID Connect?

I use pickle to dump a file on python 3, and I use pickle to load the file on python 2, the ValueError appears. 

So, python 2 pickle can not load the file dumped by python 3 pickle?

If I want it? How to do?

ValueError: unsupported pickle protocol: 3, python2 pickle can not load the file dumped by python 3 pickle?

I use pickle to dump a file on python 3, and I use pickle to load the file on python 2, the ValueError appears.
So, python 2 pickle can not load the file dumped by python 3 pickle?
If I want it? How to do?

How can I test whether two JSON objects are equal in python, disregarding the order of lists?

For example ...

JSON document **a**:

    {
        &quot;errors&quot;: [
            {&quot;error&quot;: &quot;invalid&quot;, &quot;field&quot;: &quot;email&quot;},
            {&quot;error&quot;: &quot;required&quot;, &quot;field&quot;: &quot;name&quot;}
        ],
        &quot;success&quot;: false
    }

JSON document **b**:

    {
        &quot;success&quot;: false,
        &quot;errors&quot;: [
            {&quot;error&quot;: &quot;required&quot;, &quot;field&quot;: &quot;name&quot;},
            {&quot;error&quot;: &quot;invalid&quot;, &quot;field&quot;: &quot;email&quot;}
        ]
    }

`a` and `b` should compare equal, even though the order of the `&quot;errors&quot;` lists are different.


How to compare two JSON objects with the same elements in a different order equal?

This is my code:

    @app.route(&#39;/hello&#39;, methods=[&quot;POST&quot;])
    def hello():
    	resp = make_response(render_template(&#39;hello.html&#39;))
    	resp.headers[&#39;Access-Control-Allow-Origin&#39;] = &#39;*&#39;
    	return resp

However, when I make a request from the browser to my server I get this error:

    XMLHttpRequest cannot load http://localhost:5000/hello. 
    No &#39;Access-Control-Allow-Origin&#39; header is present on the requested resource.

I have also tried this approach, setting the response headers &quot;after&quot; the request:

    @app.after_request
    def add_header(response):
        response.headers[&#39;Access-Control-Allow-Origin&#39;] = &#39;*&#39;
        return response

No dice. I get the same error. Is there a way to just set the response headers in the route function? Something like this would be ideal:

    @app.route(&#39;/hello&#39;, methods=[&quot;POST&quot;])
        def hello(response): # is this a thing??
        	response.headers[&#39;Access-Control-Allow-Origin&#39;] = &#39;*&#39;
        	return response

but I cant find anyway to do this. Please help.

**EDIT**

if I curl the url with a POST request like so:

    curl -iX POST http://localhost:5000/hello

I get this response:

    HTTP/1.0 500 INTERNAL SERVER ERROR
    Content-Type: text/html
    Content-Length: 291
    Server: Werkzeug/0.9.6 Python/2.7.6
    Date: Tue, 16 Sep 2014 03:58:42 GMT
    
    &lt;!DOCTYPE HTML PUBLIC &quot;-//W3C//DTD HTML 3.2 Final//EN&quot;&gt;
    &lt;title&gt;500 Internal Server Error&lt;/title&gt;
    &lt;h1&gt;Internal Server Error&lt;/h1&gt;
    &lt;p&gt;The server encountered an internal error and was unable to complete your request.  Either the server is overloaded or there is an error in the application.&lt;/p&gt;

Any ideas?

How do I set response headers in Flask?

I have the following code:

    import matplotlib.pyplot as plt
    import matplotlib.image as mpimg
    import matplotlib.cm as cm

    img = mpimg.imread(&quot;lena.jpg&quot;)

    f, axarr = plt.subplots(2, 2)
    axarr[0,0].imshow(img, cmap = cm.Greys_r)
    axarr[0,0].set_title(&quot;Rank = 512&quot;)

    rank = 128
    new_img = prune_matrix(rank, img)
    axarr[0,1].imshow(new_img, cmap = cm.Greys_r)
    axarr[0,1].set_title(&quot;Rank = %s&quot; %rank)

    rank = 32
    new_img = prune_matrix(rank, img)
    axarr[1,0].imshow(new_img, cmap = cm.Greys_r)
    axarr[1,0].set_title(&quot;Rank = %s&quot; %rank)

    rank = 16
    new_img = prune_matrix(rank, img)
    axarr[1,1].imshow(new_img, cmap = cm.Greys_r)
    axarr[1,1].set_title(&quot;Rank = %s&quot; %rank)

    plt.show()

However, the result is pretty ugly because of the values on the axes:

![enter image description here][1]


  [1]: http://i.stack.imgur.com/2BDVr.jpg

How can I turn off axes values for all subplots simultaneously?

Turn off axes in subplots

How can I install the [MySQLdb][1] module for Python using pip?


  [1]: http://mysql-python.sourceforge.net/MySQLdb.html

How to install Python MySQLdb module using pip?

I am a beginner with numpy, and I am trying to extract some data from a long numpy array. What I need to do is start from a defined position in my array, and then subsample every nth data point from that position, until the end of my array. 

basically if I had

    a = [1,2,3,4,1,2,3,4,1,2,3,4....] 

I want to subsample this to start at `a[1]` and then sample every fourth point from there, to produce something like

    b = [2,2,2.....]

subsampling every nth entry in a numpy array

Is there a more elegant way to write this code? 

What I am doing: I have keys and dates. There can be a number of dates assigned to a key and so I am creating a dictionary of lists of dates to represent this. The following code works fine, but I was hoping for a more elegant and Pythonic method. 

    dates_dict = dict() 
    for key,  date in cur:
        if key in dates_dict:
            dates_dict[key].append(date)
        else:
            dates_dict[key] = [date] 

I was expecting the below to work, but I keep getting a NoneType has no attribute append error. 

    dates_dict = dict() 
    for key,  date in cur:
        dates_dict[key] = dates_dict.get(key, []).append(date) 

This probably has something to do with the fact that

    print([].append(1)) 
    None 

but why?

Appending to list in Python dictionary

I am following instructions for a class homework assignment and I am supposed to look up the top 200 most frequently used words in a text file. 

Here&#39;s the last part of the code:

    fdist1 = FreqDist(NSmyText)
    vocab=fdist1.keys()
    vocab[:200]


But when I press enter after the vocab 200 line, it returns:

     Traceback (most recent call last):
     File &quot;&lt;stdin&gt;&quot;, line 1, in &lt;module&gt;
    TypeError: &#39;dict_keys&#39; object is not subscriptable


Any suggestions on how to fix this so it can correctly return an answer?

NLTK python error: &quot;TypeError: &#39;dict_keys&#39; object is not subscriptable&quot;

As a beginner, creating timestamps or formatted dates ended up being a little more of a challenge than I would have expected. What are some basic examples for reference?

How can I create basic timestamps or dates? (Python 3.4)

&lt;!--language: python-&gt;

    import math
    x = int(input(&quot;Enter a value for x: &quot;))
    y = int(input(&quot;Enter a value for y: &quot;))

    if y == 1 or y == x:
        print(1)

    if y &gt; x:
        print(0)        
    else:
        a = math.factorial(x)
        b = math.factorial(y)
        div = a // (b*(x-y))
        print(div)  

This binomial coefficient program works but when I input two of the same number which is supposed to equal to 1 or when y is greater than x it is supposed to equal to 0.

Python Binomial Coefficient

I&#39;m using the backported Enum functionality from python 3.4 with python 2.7:

    &gt; python --version
    Python 2.7.6
    &gt; pip install enum34
    # Installs version 1.0...

According to the documentation for Enums in python 3 (https://docs.python.org/3/library/enum.html#creating-an-enum), &quot;Enumerations support iteration, **in definition order**&quot;.  However, iteration is not happening in order for me:

    &gt;&gt;&gt; from enum import Enum
    &gt;&gt;&gt; class Shake(Enum):
    ...     vanilla = 7
    ...     chocolate = 4
    ...     cookies = 9
    ...     mint = 3
    ...     
    &gt;&gt;&gt; for s in Shake:
    ...     print(s)
    ...     
    Shake.mint
    Shake.chocolate
    Shake.vanilla
    Shake.cookies


Am I misunderstanding something, or is iteration in definition order just not supported in the backported versions of Enums yet?  Assuming the latter, is there an easy way to force it to happen in order?

Iterate enum in definition order in Python 2

A pandas DataFrame column `duration` contains `timedelta64[ns]` as shown. How can you convert them to seconds?

	0   00:20:32
	1   00:23:10
	2   00:24:55
	3   00:13:17
	4   00:18:52
	Name: duration, dtype: timedelta64[ns]

I tried the following

	print df[:5][&#39;duration&#39;] / np.timedelta64(1, &#39;s&#39;)

but got the error

	Traceback (most recent call last):
	  File &quot;test.py&quot;, line 16, in &lt;module&gt;
	    print df[0:5][&#39;duration&#39;] / np.timedelta64(1, &#39;s&#39;)
	  File &quot;C:\Python27\lib\site-packages\pandas\core\series.py&quot;, line 130, in wrapper
	    &quot;addition and subtraction, but the operator [%s] was passed&quot; % name)
	TypeError: can only operate on a timedeltas for addition and subtraction, but the operator [__div__] was passed

Also tried

	print df[:5][&#39;duration&#39;].astype(&#39;timedelta64[s]&#39;)

but received the error

	Traceback (most recent call last):
	  File &quot;test.py&quot;, line 17, in &lt;module&gt;
	    print df[:5][&#39;duration&#39;].astype(&#39;timedelta64[s]&#39;)
	  File &quot;C:\Python27\lib\site-packages\pandas\core\series.py&quot;, line 934, in astype
	    values = com._astype_nansafe(self.values, dtype)
	  File &quot;C:\Python27\lib\site-packages\pandas\core\common.py&quot;, line 1653, in _astype_nansafe
	    raise TypeError(&quot;cannot astype a timedelta from [%s] to [%s]&quot; % (arr.dtype,dtype))
	TypeError: cannot astype a timedelta from [timedelta64[ns]] to [timedelta64[s]]

Convert timedelta64[ns] column to seconds in Python Pandas DataFrame

Is there any way I can get the PID by process name in Python?

&lt;!-- language: lang-none --&gt;

      PID USER      PR  NI  VIRT  RES  SHR S  %CPU %MEM    TIME+  COMMAND                                                                                        
     3110 meysam    20   0  971m 286m  63m S  14.0  7.9  14:24.50 chrome 

For example I need to get `3110` by `chrome`. 


How to get PID by process name?

    r = {&#39;is_claimed&#39;: &#39;True&#39;, &#39;rating&#39;: 3.5}
    r = json.dumps(r)
    file.write(str(r[&#39;rating&#39;]))

I am not able to access my data in the JSON. What am I doing wrong?

    TypeError: string indices must be integers, not str

Converting dictionary to JSON

I&#39;m trying to create a user system, which uses a setting and Gui module, and when the GUI module requests for the file to load up using pickle, I keep getting an attribute error. this is from the settings module:

    import pickle
    import hashlib
    
    class User(object):
        def __init__(self, fname, lname, dob, gender):
            self.firstname = fname
            self.lastname = lname
            self._dob = dob
            self.gender = gender
            self.type = &#39;General&#39;
            self._username = &#39;&#39;
            self._hashkey = &#39;&#39;
                    
        def Report(self):
            print(&quot;Full Name: {0} {1}\nDate of Birth: {2}\nGender: {3}\nAccess Level: {4}&quot;.format(self.firstname,self.lastname, self._dob, self.gender, self.type))
            print(self._username)
                    
        def Genusername(self):
            self._username = str(str(self._dob)[:2] + self.firstname[:2] + self.lastname[:2])
            saveUsers(users)
    
        def Genhashkey(self, password):
            encoded = password.encode(&#39;utf-8&#39;,&#39;strict&#39;)
            return hashlib.sha256(encoded).hexdigest()
    
        def Verifypassword(self, password):
            if self._hashkey == self.Genhashkey(password):
                return True
            else:
                return False
            
    class SAdmin(User):
        def __init__(self, fname, lname, dob, gender):
            super().__init__(fname, lname, dob, gender)
            self.type = &#39;Stock Admin&#39;
    
    class Manager(User):
        def __init__(self, fname, lname, dob, gender):
            super().__init__(fname, lname, dob, gender)
            self.type = &#39;Manager&#39;
    
    def saveUsers(users):
        with open(&#39;user_data.pkl&#39;, &#39;wb&#39;) as file:
            pickle.dump(users, file, -1) # PICKLE HIGHEST LEVEL PROTOCOL
                    
    def loadUsers(users):
        try:        
            with open(&#39;user_data.pkl&#39;, &#39;rb&#39;) as file:
                temp = pickle.load(file)
                for item in temp:
                    users.append(item)
        except IOError:
            saveUsers([])
                    
    def userReport(users):
        for user in users:
            print(user.firstname, user.lastname)
                    
    def addUser(users):
        fname = input(&#39;What is your First Name?\n &gt; &#39;)
        lname = input(&#39;What is your Last Name?\n &gt; &#39;)
        dob = int(input(&#39;Please enter your date of birth in the following format, example 12211996\n&gt; &#39;))
        gender = input(&quot;What is your gender? &#39;M&#39; or &#39;F&#39;\n &gt;&quot;)
        level = input(&quot;Enter the access level given to this user &#39;G&#39;, &#39;A&#39;, &#39;M&#39;\n &gt; &quot;)
        password = input(&quot;Enter a password:\n &gt; &quot;)
        if level == &#39;G&#39;:
            usertype = User
        if level == &#39;A&#39;:
            usertype = SAdmin
        if level == &#39;M&#39;:
            usertype = Manager
        users.append(usertype(fname, lname, dob, gender))
        user = users[len(users)-1]
        user.Genusername()
        user._hashkey = user.Genhashkey(password)
        saveUsers(users)
         
    def deleteUser(users):
        userReport(users)
        delete = input(&#39;Please type in the First Name of the user do you wish to delete:\n &gt; &#39;)
        for user in users:
            if user.firstname == delete:
                users.remove(user)
        saveUsers(users)
            
    def changePass(users):
        userReport(users)
        change = input(&#39;Please type in the First Name of the user you wish to change the password for :\n &gt; &#39;)
        for user in users:
            if user.firstname == change:
                oldpass = input(&#39;Please type in your old password:\n &gt; &#39;)
                newpass = input(&#39;Please type in your new password:\n &gt; &#39;)
                if user.Verifypassword(oldpass):
                    user._hashkey = user.Genhashkey(newpass)
                    saveUsers(users)
                else:
                    print(&#39;Your old password does not match!&#39;)
    
    def verifyUser(username, password):
        for user in users:
            if user._username == username and user.Verifypassword(password):
                return True
            else:
                return False  
    
    if __name__ == &#39;__main__&#39;:
        users = []
        loadUsers(users)

and this is the GUI module:

    from PyQt4 import QtGui, QtCore
    import Settings
    
    class loginWindow(QtGui.QDialog):    
        def __init__(self):
            super().__init__()        
            self.initUI()
            
        def initUI(self):
            self.lbl1 = QtGui.QLabel(&#39;Username&#39;)
            self.lbl2 = QtGui.QLabel(&#39;Password&#39;)
            self.username = QtGui.QLineEdit()
            self.password = QtGui.QLineEdit()
            
            self.okButton = QtGui.QPushButton(&quot;OK&quot;)
            self.okButton.clicked.connect(self.tryLogin)
            self.cancelButton = QtGui.QPushButton(&quot;Cancel&quot;)
    
            grid = QtGui.QGridLayout()
            grid.setSpacing(10)
    
            grid.addWidget(self.lbl1, 1, 0)
            grid.addWidget(self.username, 1, 1)
            grid.addWidget(self.lbl2, 2, 0)
            grid.addWidget(self.password, 2, 1)
            grid.addWidget(self.okButton, 3, 1)
            grid.addWidget(self.cancelButton, 3, 0)
    
            self.setLayout(grid)
                          
            self.setGeometry(300, 300, 2950, 150)
            self.setWindowTitle(&#39;Login&#39;)
            self.show()
    
        def tryLogin(self):
            print(self.username.text(), self.password.text())
            if Settings.verifyUser(self.username.text(),self.password.text()):
                print(&#39;it Woks&#39;)
            else:
                QtGui.QMessageBox.warning(
                    self, &#39;Error&#39;, &#39;Incorrect Username or Password&#39;)
    
    class Window(QtGui.QMainWindow):
        def __init__(self):
            super().__init__()        
            
    
    if __name__ == &#39;__main__&#39;:
        
        app = QtGui.QApplication(sys.argv)
        users = []
        Settings.loadUsers(users)
        if loginWindow().exec_() == QtGui.QDialog.Accepted:
            window = Window()
            window.show()
            sys.exit(app.exec_())

each user is a class and are put into a list and then the list is saved using pickle when I load up just the settings file and verify the login everything works fine but when I open up the GUI module and try to verify it doesn&#39;t let me, the error I&#39;m getting:

    Traceback (most recent call last):
      File &quot;C:\Users`Program\LoginGUI.py&quot;, line 53, in &lt;module&gt;
        Settings.loadUsers(users)
      File &quot;C:\Users\Program\Settings.py&quot;, line 51, in loadUsers
        temp = pickle.load(file)
    AttributeError: Can&#39;t get attribute &#39;Manager&#39; on &lt;module &#39;__main__&#39; (built-in)&gt;



Unable to load files using pickle and multiple modules

Say I have the list `score = [1,2,3,4,5]` and it gets changed while my program is running. How could I save it to a file so that next time the program is run I can access the changed list as a `list` type? 

I have tried:

    score=[1,2,3,4,5]

    with open(&quot;file.txt&quot;, &#39;w&#39;) as f:
        for s in score:
            f.write(str(s) + &#39;\n&#39;)

    with open(&quot;file.txt&quot;, &#39;r&#39;) as f:
        score = [line.rstrip(&#39;\n&#39;) for line in f]


    print(score)

But this results in the elements in the list being strings not integers.

How to save a list to a file and read it as a list type?

I&#39;m wondering if there is a way to load an object that was pickled in Python 2.4, with Python 3.4.

I&#39;ve been running 2to3 on a large amount of company legacy code to get it up to date.

Having done this, when running the file I get the following error:

      File &quot;H:\fixers - 3.4\addressfixer - 3.4\trunk\lib\address\address_generic.py&quot;
    , line 382, in read_ref_files
        d = pickle.load(open(mshelffile, &#39;rb&#39;))
    UnicodeDecodeError: &#39;ascii&#39; codec can&#39;t decode byte 0xe2 in position 1: ordinal
    not in range(128)

Looking at the pickled object in contention, it&#39;s a `dict` in a `dict`, containing keys and values of type `str`.

So my question is: Is there a way to load an object, originally pickled in python 2.4, with python 3.4?

Unpickling a python 2 object with python 3

I am trying to apply `_pickle` to save data onto disk. But when calling `_pickle.dump`, I got an error
    
    OverflowError: cannot serialize a bytes object larger than 4 GiB

Is this a hard limitation to use `_pickle`? (`cPickle` for python2)

_pickle in python3 doesn&#39;t work for large data saving

Based on this [comment][1] and the referenced documentation, Pickle 4.0+ from Python 3.4+ should be able to pickle byte objects larger than 4&#160;GB. 

However, using python 3.4.3 or python 3.5.0b2 on Mac OS X 10.10.4, I get an error when I try to pickle a large byte array:

    &gt;&gt;&gt; import pickle
    &gt;&gt;&gt; x = bytearray(8 * 1000 * 1000 * 1000)
    &gt;&gt;&gt; fp = open(&quot;x.dat&quot;, &quot;wb&quot;)
    &gt;&gt;&gt; pickle.dump(x, fp, protocol = 4)
    Traceback (most recent call last):
      File &quot;&lt;stdin&gt;&quot;, line 1, in &lt;module&gt;
    OSError: [Errno 22] Invalid argument

Is there a bug in my code or am I misunderstanding the documentation?

  [1]: https://stackoverflow.com/a/29704623/1202808

Python 3 - Can pickle handle byte objects larger than 4GB?

I am using sklearn and having a problem with the affinity propagation. I have built an input matrix and I keep getting the following error. 


    ValueError: Input contains NaN, infinity or a value too large for dtype(&#39;float64&#39;).

I have run

    np.isnan(mat.any()) #and gets False
    np.isfinite(mat.all()) #and gets True

I tried using

    mat[np.isfinite(mat) == True] = 0
to remove the infinite values but this did not work either. 
What can I do to get rid of the infinite values in my matrix, so that I can use the affinity propagation algorithm?

I am using anaconda and python 2.7.9.

sklearn error ValueError: Input contains NaN, infinity or a value too large for dtype(&#39;float64&#39;)

I am passing a list from flask function to another function, and getting this value error.

My code at sending end:

    @app.route(&#39;/process&#39;, methods=[&#39;POST&#39;])
    def process():
	    name = request.form[&#39;name&#39;]
	    comment = request.form[&#39;comment&#39;]
	    wickets = request.form[&#39;wickets&#39;]
	    ga = request.form[&#39;ga&#39;]
	    ppballs = request.form[&#39;ppballs&#39;]
	    overs = request.form[&#39;overs&#39;]

	    score = [name,comment,wickets,ga,ppballs,overs]
	    results = []
	    results = eval_score(score)
	    print results

Receiver end :

    def ml_model(data):
        col = pd.DataFrame(data,columns=[&#39;runs&#39;,&#39;balls&#39;, &#39;wickets&#39;, &#39;ground_average&#39;, &#39;pp_balls_left&#39;, &#39;total_overs&#39;])
        predicted = predictor(col)

Trace of Error:

     ...
     line 1598, in dispatch_request
     return self.view_functions[rule.endpoint](**req.view_args)

     File &quot;/Users/sbk/guestbook/guestbook.py&quot;, line 26, in process
     results = eval_score(score)
     
     File &quot;/Users/sbk/guestbook/eval_score.py&quot;, line 6, in eval_score
     col = pd.DataFrame(data,columns=[&#39;runs&#39;,&#39;balls&#39;, &#39;wickets&#39;,  &#39;ground_average&#39;, &#39;pp_balls_left&#39;, &#39;total_overs&#39;])

     File &quot;/Users/sbk/anaconda2/lib/python2.7/site-  packages/pandas/core/frame.py&quot;, line 385, in __init__
     copy=copy)

     File &quot;/Users/sbk/anaconda2/lib/python2.7/site-packages/pandas/core/frame.py&quot;, line 533, in _init_ndarray
     return create_block_manager_from_blocks([values], [columns, index])

     File &quot;/Users/sbk/anaconda2/lib/python2.7/site-packages/pandas/core/internals.py&quot;, line 4631, in  create_block_manager_from_blocks
     construction_error(tot_items, blocks[0].shape[1:], axes, e)

     File &quot;/Users/sbk/anaconda2/lib/python2.7/site-packages/pandas/core/internals.py&quot;, line 4608, in construction_error
     Open an interactive python shell in this framepassed, implied))

Please let me know where I am going wrong.

Content Type	Original Author	Original Content on Stackoverflow
Question	Aleeee	View Question on Stackoverflow
Solution 1 - Python	Matthias	View Answer on Stackoverflow
Solution 2 - Python	enrico.bacis	View Answer on Stackoverflow

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