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jQuery .data() does not work, but .attr() does
...ML5 data attributes.
The behavior you're describing is not a bug, but is by design.
The .data() call is special - not only does it retrieve HTML5 data attributes it also attempts to evaluate/parse the attributes. So with an attribute like data-myjson='{"hello":"world"}' when retrieved via .data()...
How to fix Error: listen EADDRINUSE while using nodejs?
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For me this was caused by Skype
– Beep
Jun 21 '17 at 14:03
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How to uncheck checkbox using jQuery Uniform library
I have a problem with unchecking a checkbox . Have a look at my jsFiddle , where I am attempting:
12 Answers
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Android canvas draw rectangle
...exact one line answer to what author is asking for has been provided below by @Yuck -- paint.setStyle(Paint.Style.STROKE)
– alchemist
Jul 3 '13 at 20:46
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How do I do multiple CASE WHEN conditions using SQL Server 2008?
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Is the inner case being validated if the outter case doesn't return true?
– ggderas
Jul 12 '17 at 22:32
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RegEx to exclude a specific string constant [duplicate]
... Thanks for pointing that out, you are right - my suggestion only avoids strings starting with ABC - I forgot to anchor the assertion. Going to correct that.
– Daniel Brückner
Sep 8 '09 at 18:56
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Coredata Error “data: ”
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you can turn off the property by calling [request setReturnsObjectsAsFaults:NO];
– Qamar Suleiman
Feb 20 '12 at 16:22
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Why declare a struct that only contains an array in C?
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It allows you to pass the array to a function by value, or get it returned by value from a function.
Structs can be passed by value, unlike arrays which decay to a pointer in these contexts.
sha...
Understanding Magento Block and Block Type
...ely used in layout.
core/template: This block renders a template defined by its template attribute. The majority of blocks defined in the layout are of type or subtype of core/template.
page/html: This is a subtype of core/template and defines the root block. All other blocks are child blocks...
Comparing two dataframes and getting the differences
... pd.concat([df1, df2])
>>> df = df.reset_index(drop=True)
group by
>>> df_gpby = df.groupby(list(df.columns))
get index of unique records
>>> idx = [x[0] for x in df_gpby.groups.values() if len(x) == 1]
filter
>>> df.reindex(idx)
Date Fruit ...