The rows you get back from `iterrows` are copies that are no longer connected to the original data frame, so edits don&#39;t change your dataframe. Thankfully, because each item you get back from `iterrows` contains the current index, you can use that to access and edit the relevant row of the dataframe:

    for index, row in rche_df.iterrows():
        if isinstance(row.wgs1984_latitude, float):
            row = row.copy()
            target = row.address_chi        
            dict_temp = geocoding(target)
            rche_df.loc[index, &#39;wgs1984_latitude&#39;] = dict_temp[&#39;lat&#39;]
            rche_df.loc[index, &#39;wgs1984_longitude&#39;] = dict_temp[&#39;long&#39;]

In my experience, this approach seems slower than using an approach like `apply` or `map`, but as always, it&#39;s up to you to decide how to make the performance/ease of coding tradeoff.

Another way based on [this question][1]:

    for index, row in rche_df.iterrows():
        if isinstance(row.wgs1984_latitude, float):
            row = row.copy()
            target = row.address_chi        
            dict_temp = geocoding(target)
            
            rche_df.at[index, &#39;wgs1984_latitude&#39;] = dict_temp[&#39;lat&#39;]
            rche_df.at[index, &#39;wgs1984_longitude&#39;] = dict_temp[&#39;long&#39;]


[This link][2] describe difference between `.loc` and `.at`. Shortly, `.at` faster than `.loc`.


  [1]: https://stackoverflow.com/q/23330654/8961642
  [2]: https://stackoverflow.com/q/37216485/8961642

I&#39;m trying to convert [this][1] code snippet to Swift. I&#39;m struggling on getting off the ground due to some difficulties.

    - (BOOL) connectedToNetwork
    {
    	// Create zero addy
    	struct sockaddr_in zeroAddress;
    	bzero(&amp;zeroAddress, sizeof(zeroAddress));
    	zeroAddress.sin_len = sizeof(zeroAddress);
    	zeroAddress.sin_family = AF_INET;

    	// Recover reachability flags
    	SCNetworkReachabilityRef defaultRouteReachability = SCNetworkReachabilityCreateWithAddress(NULL, (struct sockaddr *)&amp;zeroAddress);
    	SCNetworkReachabilityFlags flags;

    	BOOL didRetrieveFlags = SCNetworkReachabilityGetFlags(defaultRouteReachability, &amp;flags);
    	CFRelease(defaultRouteReachability);

    	if (!didRetrieveFlags)
    	{
    		return NO;
    	}

    	BOOL isReachable = flags &amp; kSCNetworkFlagsReachable;
    	BOOL needsConnection = flags &amp; kSCNetworkFlagsConnectionRequired;

    	return (isReachable &amp;&amp; !needsConnection) ? YES : NO;
    }

The first and the main issue I&#39;m having is on how to define and work with C structs. In the first line (`struct sockaddr_in zeroAddress;`) of the above code, I think they&#39;re defining a instance called `zeroAddress` from the struct sockaddr_in(?), I assume. I tried declaring a `var` like this.

    var zeroAddress = sockaddr_in()

But I get the error **Missing argument for parameter &#39;sin_len&#39; in call** which is understandable because that struct takes a number of arguments. So I tried again.

    var zeroAddress = sockaddr_in(sin_len: sizeof(zeroAddress), sin_family: AF_INET, sin_port: nil, sin_addr: nil, sin_zero: nil)

As expected I get some other error **Variable used within its own initial value**. I understand the cause of that error too. In C, they declare the instance first and then fill up the parameters. Its not possible in Swift as far as I know. So I&#39;m truly lost at this point on what to do.

I read Apple&#39;s official [document][2] on interacting with C APIs in Swift but it has no examples in working with structs. 

Can anyone please help me out here? I&#39;d really appreciate it.

Thank you.


----------


**UPDATE:** Thanks to Martin I was able to get past the initial problem. But still Swift ain&#39;t making it easier for me. I&#39;m getting multiple new errors.

    func connectedToNetwork() -&gt; Bool {
        
        var zeroAddress = sockaddr_in(sin_len: 0, sin_family: 0, sin_port: 0, sin_addr: in_addr(s_addr: 0), sin_zero: (0, 0, 0, 0, 0, 0, 0, 0))
        zeroAddress.sin_len = UInt8(sizeofValue(zeroAddress))
        zeroAddress.sin_family = sa_family_t(AF_INET)
        
        var defaultRouteReachability: SCNetworkReachabilityRef = SCNetworkReachabilityCreateWithAddress(UnsafePointer&lt;Void&gt;, UnsafePointer&lt;zeroAddress&gt;) // &#39;zeroAddress&#39; is not a type
        var flags = SCNetworkReachabilityFlags()
        
        let didRetrieveFlags = SCNetworkReachabilityGetFlags(defaultRouteReachability, UnsafeMutablePointer&lt;flags&gt;) // &#39;flags&#39; is not a type
        defaultRouteReachability.dealloc(1) // &#39;SCNetworkReachabilityRef&#39; does not have a member named &#39;dealloc&#39;
        
        if didRetrieveFlags == false {
            return false
        }
        
        let isReachable: Bool = flags &amp; kSCNetworkFlagsReachable // Cannot invoke &#39;&amp;&#39; with an argument list of type &#39;(@lvalue UInt32, Int)&#39;
        let needsConnection: Bool = flags &amp; kSCNetworkFlagsConnectionRequired // Cannot invoke &#39;&amp;&#39; with an argument list of type &#39;(@lvalue UInt32, Int)&#39;
        
        return (isReachable &amp;&amp; !needsConnection) ? true : false
    }


----------


**EDIT 1:**  Okay I changed this line to this,

    var defaultRouteReachability: SCNetworkReachabilityRef = SCNetworkReachabilityCreateWithAddress(UnsafePointer&lt;Void&gt;(), &amp;zeroAddress)

The new error I&#39;m getting at this line is **&#39;UnsafePointer&lt;Void&gt;&#39; is not convertible to &#39;CFAllocator&#39;**. How to you pass `NULL` in Swift?

Also I changed this line and the error is gone now.

    let didRetrieveFlags = SCNetworkReachabilityGetFlags(defaultRouteReachability, &amp;flags)


----------


**EDIT 2:** I passed `nil` in this line after seeing [this][3] question. But that answer contradicts with the answer [here][4]. It says there is no equivalent to `NULL` in Swift.

    var defaultRouteReachability: SCNetworkReachabilityRef = SCNetworkReachabilityCreateWithAddress(nil, &amp;zeroAddress)

Anyway I get a new error saying **&#39;sockaddr_in&#39; is not identical to &#39;sockaddr&#39;** at the above line.


  [1]: http://www.chrisdanielson.com/2009/07/22/iphone-network-connectivity-test-example/#comments
  [2]: https://developer.apple.com/library/prerelease/ios/documentation/Swift/Conceptual/BuildingCocoaApps/InteractingWithCAPIs.html#//apple_ref/doc/uid/TP40014216-CH8-XID_13
  [3]: https://stackoverflow.com/questions/24065774/calling-a-function-with-null-as-parameter
  [4]: https://stackoverflow.com/a/24043722/1077789

How to use SCNetworkReachability in Swift

I&#39;m trying to figure out how to declare a static variable scoped only locally to a function in Swift.

In C, this might look something like this:

    int foo() {
        static int timesCalled = 0;
        ++timesCalled;
        return timesCalled;
    }

In Objective-C, it&#39;s basically the same:

    - (NSInteger)foo {
        static NSInteger timesCalled = 0;
        ++timesCalled;
        return timesCalled;
    }

But I can&#39;t seem to do anything like this in Swift.  I&#39;ve tried declaring the variable in the following ways:

    static var timesCalledA = 0
    var static timesCalledB = 0
    var timesCalledC: static Int = 0
    var timesCalledD: Int static = 0

But these all result in errors.

 - The first complains &quot;Static properties may only be declared on a type&quot;.
 - The second complains &quot;Expected declaration&quot; (where `static` is) and &quot;Expected pattern&quot; (where `timesCalledB` is)
 - The third complains &quot;Consecutive statements on a line must be separated by &#39;;&#39;&quot; (in the space between the colon and `static`) and &quot;Expected Type&quot; (where `static` is)
 - The fourth complains &quot;Consecutive statements on a line must be separated by &#39;;&#39;&quot; (in the space between `Int` and `static`) and &quot;Expected declaration&quot; (under the equals sign)

Static function variables in Swift

I am doing some geocoding work that I used `selenium` to screen scrape the x-y coordinate I need for address of a location, I imported an xls file to panda dataframe and want to use explicit loop to update the rows which do not have the x-y coordinate, like below:

    for index, row in rche_df.iterrows():
        if isinstance(row.wgs1984_latitude, float):
            row = row.copy()
            target = row.address_chi        
            dict_temp = geocoding(target)
            row.wgs1984_latitude = dict_temp[&#39;lat&#39;]
            row.wgs1984_longitude = dict_temp[&#39;long&#39;]

I have read https://stackoverflow.com/questions/15972264/why-doesnt-this-function-take-after-i-iterrows-over-a-pandas-dataframe and am fully aware that iterrow only gives us a view rather than a copy for editing, but what if I really to update the value row by row? Is `lambda` feasible?

Updating value in iterrow for pandas

I am doing some geocoding work that I used <code>selenium</code> to screen scrape the x-y coordinate I need for address of a location, I imported an xls file to panda dataframe and want to use explicit loop to update the rows which do not have the x-y coordinate, like below:
<pre><code class="hljs language-ini">for index, row in rche_df.iterrows():
 if isinstance(row.wgs1984_latitude, float):
 row = row.copy()
 target = row.address_chi 
 dict_temp = geocoding(target)
 row.wgs1984_latitude = dict_temp['lat']
 row.wgs1984_longitude = dict_temp['long']
</code></pre>
I have read <a href="https://stackoverflow.com/questions/15972264/why-doesnt-this-function-take-after-i-iterrows-over-a-pandas-dataframe" target="_blank" rel="noopener noreferrer">https://stackoverflow.com/questions/15972264/why-doesnt-this-function-take-after-i-iterrows-over-a-pandas-dataframe</a> and am fully aware that iterrow only gives us a view rather than a copy for editing, but what if I really to update the value row by row? Is <code>lambda</code> feasible?

What&#39;s the correct way to initialize an ordered dictionary (OD) so that it retains the order of initial data?

    from collections import OrderedDict
    
    # Obviously wrong because regular dict loses order
    d = OrderedDict({&#39;b&#39;:2, &#39;a&#39;:1}) 

    # An OD is represented by a list of tuples, so would this work?
    d = OrderedDict([(&#39;b&#39;,2), (&#39;a&#39;, 1)])

    # What about using a list comprehension, will &#39;d&#39; preserve the order of &#39;l&#39;
    l = [&#39;b&#39;, &#39;a&#39;, &#39;c&#39;, &#39;aa&#39;]
    d = OrderedDict([(i,i) for i in l])

Question: 

- Will an `OrderedDict` preserve the order of a list of tuples, or tuple of tuples or tuple of lists or list of lists etc. passed at the time of initialization (2nd &amp; 3rd example above)?

- How does one go about verifying if `OrderedDict` actually maintains an order? Since a `dict` has an unpredictable order, what if my test vectors luckily have the same initial order as the unpredictable order of a dict? For example, if instead of `d = OrderedDict({&#39;b&#39;:2, &#39;a&#39;:1})` I write `d = OrderedDict({&#39;a&#39;:1, &#39;b&#39;:2})`, I can wrongly conclude that the order is preserved. In this case, I found out that a `dict` is ordered alphabetically, but that may not be always true. What&#39;s a reliable way to use a counterexample to verify whether a data structure preserves order or not, short of trying test vectors repeatedly until one breaks?

P.S. I&#39;ll just leave this here for [reference][1]: &quot;The OrderedDict constructor and update() method both accept keyword arguments, but their order is lost because Python’s function call semantics pass-in keyword arguments using a regular unordered dictionary&quot;

P.P.S : Hopefully, in future, OrderedDict will preserve the order of kwargs also (example 1): http://bugs.python.org/issue16991

  [1]: https://docs.python.org/2.7/library/collections.html#collections.OrderedDict

Right way to initialize an OrderedDict using its constructor such that it retains order of initial data?

I have two numpy arrays with number (Same length), and I want to count how many elements are equal between those two array (equal = same value and position in array)

    A = [1, 2, 3, 4]
    B = [1, 2, 4, 3]

then I want the return value to be 2 (just 1&amp;2 are equal in position and value)


check how many elements are equal in two numpy arrays python

&lt;p&gt;I want to execute a curl command in Python.&lt;/p&gt;
&lt;p&gt;Usually, I just need to enter the command in the terminal and press the return key. However, I don&#39;t know how it works in Python. &lt;/p&gt;
&lt;p&gt;The command shows below:&lt;/p&gt;

    curl -d @request.json --header &quot;Content-Type: application/json&quot; https://www.googleapis.com/qpxExpress/v1/trips/search?key=mykeyhere

There is a `request.json` file to be sent to get a response.

&lt;p&gt;I searched a lot and got confused. I tried to write a piece of code, although I could not fully understand it and it didn&#39;t work.&lt;/p&gt;


    import pycurl
    import StringIO

    response = StringIO.StringIO()
    c = pycurl.Curl()
    c.setopt(c.URL, &#39;https://www.googleapis.com/qpxExpress/v1/trips/search?key=mykeyhere&#39;)
    c.setopt(c.WRITEFUNCTION, response.write)
    c.setopt(c.HTTPHEADER, [&#39;Content-Type: application/json&#39;,&#39;Accept-Charset: UTF-8&#39;])
    c.setopt(c.POSTFIELDS, &#39;@request.json&#39;)
    c.perform()
    c.close()
    print response.getvalue()
    response.close()

The error message is `Parse Error`. How to get a response from the server correctly?

How to use Python to execute a cURL command?

I want to send JSON encoded data to a server using only native Python libraries. I love requests but I simply can&#39;t use it because I can&#39;t use it on the machine which runs the script. I need to do it without.

    newConditions = {&quot;con1&quot;:40, &quot;con2&quot;:20, &quot;con3&quot;:99, &quot;con4&quot;:40, &quot;password&quot;:&quot;1234&quot;} 
    params = urllib.parse.urlencode(newConditions)
    params = params.encode(&#39;utf-8&#39;)
            
    req = urllib.request.Request(conditionsSetURL, data=params)
    urllib.request.urlopen(req)        

My server is a local WAMP server. I always get an

&gt; urllib.error.HTTPError: HTTP Error 500: Internal Server Error

I am **100% sure** that this is **NOT** a server issue, because the same data, with the same url, on the same machine, with the same server works with the requests library and Postman.


Python3: JSON POST Request WITHOUT requests library

I am using `ipython` notebook (http://ipython.org/notebook.html) to do a demo and it seems like the print function is not working:

![enter image description here][1]

The commands in the above picture are rewritten here for clarity.

    In [1]: &#39;hello world&#39;
    Out [1]: &#39;hello world&#39;
    
    In [2]: print &#39;hello world&#39;

In short, there&#39;s no print output from the `[2]`.

Does anyone know whether it&#39;s a known bug? And does anyone know how to fix it?


  [1]: http://i.stack.imgur.com/10NA4.png


Print not showing in ipython notebook

I&#39;m using Google Chrome&#39;s Console window to try and figure out why I&#39;m not able to loop over an array in javascript.

I have a javascript object called `moveResult` that looks like this:  

![enter image description here][1]

I&#39;m trying to loop over the `MoveParts` in javascript like this:

    for (var movePart in moveResult.MoveParts) {
        console.log(movePart.From);
    };

I always get `undefined` instead of the actual value.  However, If I try to access the first item explicitly I get what I want, like this:

    console.log(moveResult.MoveParts[0].From);

The result of this is `&quot;b1&quot;`.

**Why isn&#39;t my loop working?**

I&#39;ve also tried a foreach:

    moveResult.MoveParts.foreach(function (movePart) {
        console.log(movePart.From);
    };

  [1]: http://i.stack.imgur.com/VxCKD.jpg

Loop Over Array in Javascript

Suppose I have a Unix shell variable as below

    variable=abc,def,ghij

I want to extract all the values (`abc`, `def` and `ghij`) using a for loop and pass each value into a procedure. 

The script should allow extracting arbitrary number of comma-separated values from `$variable`.

Loop through a comma-separated shell variable

I have such bash script:

    array=( &#39;2015-01-01&#39;, &#39;2015-01-02&#39; )
    
    for i in &quot;${array[@]}&quot;
    do
        python /home/user/executeJobs.py {i} &amp;&gt; /home/user/${i}.log
    done

Now I want to loop through a range of dates, e.g. 2015-01-01 until 2015-01-31.

How to achieve in Bash?

**Update**: 

Nice-to-have: No job should be started before a previous run has completed. In this case, when executeJobs.py is completed bash prompt `$` will return.

e.g. could I incorporate `wait%1` in my loop?

How to loop through dates using Bash?

So we are used to say to every R new user that &quot;*`apply` isn&#39;t vectorized, check out the Patrick Burns [R Inferno](http://www.burns-stat.com/pages/Tutor/R_inferno.pdf) Circle 4*&quot; which says (I quote):

&gt; A common reflex is to use a function in the apply family. **This is not**
&gt; **vectorization, it is loop-hiding**. The apply function has a for loop in
&gt; its definition. The lapply function buries the loop, but execution
&gt; times tend to be roughly equal to an explicit for loop.

Indeed, a quick look on the `apply` source code reveals the loop:

    grep(&quot;for&quot;, capture.output(getAnywhere(&quot;apply&quot;)), value = TRUE)
    ## [1] &quot;        for (i in 1L:d2) {&quot;  &quot;    else for (i in 1L:d2) {&quot;

Ok so far, but a look at `lapply` or `vapply` actually reveals a completely different picture:

    lapply
    ## function (X, FUN, ...) 
    ## {
    ##     FUN &lt;- match.fun(FUN)
    ##     if (!is.vector(X) || is.object(X)) 
    ##        X &lt;- as.list(X)
    ##     .Internal(lapply(X, FUN))
    ## }
    ## &lt;bytecode: 0x000000000284b618&gt;
    ## &lt;environment: namespace:base&gt;

So apparently there is no R `for` loop hiding there, rather they are calling internal C written function. 

A quick look in the [rabbit](https://github.com/wch/r-source/blob/trunk/src/main/names.c#L627-L630) [hole](https://github.com/wch/r-source/blob/trunk/src/main/apply.c#L34) reveals pretty much the same picture

Moreover, let&#39;s take the `colMeans` function for example, which was never accused in not being vectorised

    colMeans
    # function (x, na.rm = FALSE, dims = 1L) 
    # {
    #   if (is.data.frame(x)) 
    #     x &lt;- as.matrix(x)
    #   if (!is.array(x) || length(dn &lt;- dim(x)) &lt; 2L) 
    #     stop(&quot;&#39;x&#39; must be an array of at least two dimensions&quot;)
    #   if (dims &lt; 1L || dims &gt; length(dn) - 1L) 
    #     stop(&quot;invalid &#39;dims&#39;&quot;)
    #   n &lt;- prod(dn[1L:dims])
    #   dn &lt;- dn[-(1L:dims)]
    #   z &lt;- if (is.complex(x)) 
    #     .Internal(colMeans(Re(x), n, prod(dn), na.rm)) + (0+1i) * 
    #     .Internal(colMeans(Im(x), n, prod(dn), na.rm))
    #   else .Internal(colMeans(x, n, prod(dn), na.rm))
    #   if (length(dn) &gt; 1L) {
    #     dim(z) &lt;- dn
    #     dimnames(z) &lt;- dimnames(x)[-(1L:dims)]
    #   }
    #   else names(z) &lt;- dimnames(x)[[dims + 1]]
    #   z
    # }
    # &lt;bytecode: 0x0000000008f89d20&gt;
    #   &lt;environment: namespace:base&gt;

Huh? It also just calls `.Internal(colMeans(...` which we can also find in the [rabbit hole](https://github.com/wch/r-source/blob/trunk/src/main/names.c#L731). So how is this different from `.Internal(lapply(..`?

Actually a quick benchmark reveals that `sapply` performs no worse than `colMeans` and much better than a `for` loop for a big data set

    m &lt;- as.data.frame(matrix(1:1e7, ncol = 1e5))
    system.time(colMeans(m))
    # user  system elapsed 
    # 1.69    0.03    1.73 
    system.time(sapply(m, mean))
    # user  system elapsed 
    # 1.50    0.03    1.60 
    system.time(apply(m, 2, mean))
    # user  system elapsed 
    # 3.84    0.03    3.90 
    system.time(for(i in 1:ncol(m)) mean(m[, i]))
    # user  system elapsed 
    # 13.78    0.01   13.93 

In other words, is it correct to say that `lapply` and `vapply` **are actually vectorised** (compared to `apply` which is a `for` loop that also calls `lapply`) and what did Patrick Burns really mean to say?


Is the &quot;*apply&quot; family really not vectorized?

I am trying to write a code that executes when a condition is met. Currently, I am using while...loop, which I know is not very efficient. I am also looking at AutoResetEvent() but i don&#39;t know how to implement it such that it keeps checking until the condition is true. 

The code also happens to live inside an async method, so may be some kind of await could work? 

    private async void btnOk_Click(object sender, EventArgs e)
    {
            // Do some work
            Task&lt;string&gt; task = Task.Run(() =&gt; GreatBigMethod());
            string GreatBigMethod = await task;

            // Wait until condition is false
            while (!isExcelInteractive())
            {
                Console.WriteLine(&quot;Excel is busy&quot;);
            }

            // Do work
            Console.WriteLine(&quot;YAY&quot;);
     }


        private bool isExcelInteractive()
        {
            try
            {
                Globals.ThisWorkbook.Application.Interactive = Globals.ThisWorkbook.Application.Interactive;
                return true; // Excel is free
            }
            catch
            {
                return false; // Excel will throw an exception, meaning its busy
            }
        }

I need to find a way to keep checking `isExcelInteractive()` without CPU stuck in a loop. 

**Note**: There is no event handler in Excel that would be raised when it is not in edit mode. 


C# Wait until condition is true

Is there a way to do this?  I cannot seem an easy way to interface pandas series with plotting a CDF.  

Plotting CDF of a pandas series in python

I want to bring some data into a pandas DataFrame and I want to assign dtypes for each column on import.  I want to be able to do this for larger datasets with many different columns, but, as an example:

    myarray = np.random.randint(0,5,size=(2,2))
    mydf = pd.DataFrame(myarray,columns=[&#39;a&#39;,&#39;b&#39;], dtype=[float,int])
    mydf.dtypes

results in:

&gt; TypeError: data type not understood

I tried a few other methods such as:

    mydf = pd.DataFrame(myarray,columns=[&#39;a&#39;,&#39;b&#39;], dtype={&#39;a&#39;: int})

&gt; TypeError: object of type &#39;type&#39; has no len()

If I put `dtype=(float,int)` it applies a float format to both columns.

In the end I would like to just be able to pass it a list of datatypes the same way I can pass it a list of column names.

How to set dtypes by column in pandas DataFrame

I&#39;m relatively new to using the PyCharm IDE, and have been unable to find a way to better shape the output when in a built-in console session. I&#39;m typically working with pretty wide dataframes, that would fit easily across my monitor, but the display is cutting and wrapping them much sooner than needed.

Does anyone know of a setting to change this behavior to take advantage of the full width of my screen?

Edit: I don&#39;t have enough reputation to post a screenshot, but link is below:
http://imgur.com/iiBK3iU

I would like to prevent it from wrapping after only a few columns (for example, the column &#39;ReadmitRate&#39; should be immediately to the right of &#39;SNFDaysPerSNFCase&#39;)

Getting wider output in PyCharm&#39;s built-in console

I would like to create a column in a pandas data frame that is an integer representation of the number of days in a timedelta column.  Is it possible to use &#39;datetime.days&#39; or do I need to do something more manual?

**timedelta column**                
&gt;7 days, 23:29:00

**day integer column**
&gt;7


Python: Convert timedelta to int in a dataframe

In MATLAB, to swap the first and second columns of a table `A`, one would do this&lt;sup&gt;1&lt;/sup&gt;

    A = A(:, [2 1 3:end]);

Is there a similarly convenient way to do this if `A` were a pandas `DataFrame` instead?

&lt;sub&gt;&lt;sup&gt;1&lt;/sup&gt; MATLAB uses 1-based indexing.&lt;/sub&gt;



How to swap two DataFrame columns?

This is my sample code:

    #include &lt;iostream&gt;
    #include &lt;string&gt;
    using namespace std;
    
    class MyClass
    {
    	string figName;
    public:
    	MyClass(const string&amp; s)
    	{
    		figName = s;
    	}
    
    	const string&amp; getName() const
    	{
    		return figName;
    	}
    };

    ostream&amp; operator&lt;&lt;(ostream&amp; ausgabe, const MyClass&amp; f)
    {
    	ausgabe &lt;&lt; f.getName();
    	return ausgabe;
    }
    
    int main()
    {
    	MyClass f1(&quot;Hello&quot;);
    	cout &lt;&lt; f1;
        return 0;
    }

If I comment out `#include &lt;string&gt;` I don&#39;t get any compiler error, I guess because it&#39;s kind of included through `#include &lt;iostream&gt;`. If I *&quot;right-click --&gt; Go to Definition&quot;* in Microsoft VS they both point to the same line in the `xstring` file:

    typedef basic_string&lt;char, char_traits&lt;char&gt;, allocator&lt;char&gt; &gt;
    	string;

But when I run my program, I get an exception error:

&gt; 0x77846B6E (ntdll.dll) in OperatorString.exe: 0xC00000FD: Stack overflow (Parameter: 0x00000001, 0x01202FC4)

Any idea why I get a runtime error when commenting out `#include &lt;string&gt;`? I&#39;m using VS 2013 Express.

Content Type	Original Author	Original Content on Stackoverflow
Question	lokheart	View Question on Stackoverflow
Solution 1 - Python	Marius	View Answer on Stackoverflow
Solution 2 - Python	Alireza Mazochi	View Answer on Stackoverflow

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