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getMinutes() 0-9 - How to display two digit numbers?
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20 Answers
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Apply a function to every row of a matrix or a data frame
... 3 4
[3,] 5 6
R> apply(M, 1, function(x) 2*x[1]+x[2])
[1] 4 10 16
R>
This takes a matrix and applies a (silly) function to each row. You pass extra arguments to the function as fourth, fifth, ... arguments to apply().
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Wolfram's Rule 34 in XKCD [closed]
The hover "joke" in #505 xkcd touts "I call rule 34 on Wolfram's Rule 34".
12 Answers
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Grid of responsive squares
... you can code :
HTML :
<div></div>
CSS
div {
width: 30%;
padding-bottom: 30%; /* = width for a square aspect ratio */
}
Here is a simple layout example of 3*3 squares grid using the code above.
With this technique, you can make any other aspect ratio, here is a table giv...
Bootstrap 3 modal vertical position center
...: inline-block;
vertical-align: middle;
content: " ";
height: 100%;
}
}
.modal-dialog {
display: inline-block;
text-align: left;
vertical-align: middle;
}
And adjust a little bit .fade class to make sure it appears out of the top border of window, instead of center
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What are differences between AssemblyVersion, AssemblyFileVersion and AssemblyInformationalVersion?
... format: major.minor. This would result in:
[assembly: AssemblyVersion("1.0")]
If you're following SemVer strictly then this means you only update when the major changes, so 1.0, 2.0, 3.0, etc.
AssemblyFileVersion
Used for deployment. You can increase this number for every deployment. It is use...
Why use strong named assemblies?
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edited Jun 10 at 14:18
Jan Nils Ferner
2,81422 gold badges1414 silver badges3131 bronze badges
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Delete topic in Kafka 0.8.1.1
I need to delete the topic test in Apache Kafka 0.8.1.1.
14 Answers
14
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How to catch integer(0)?
Let's say we have a statement that produces integer(0) , e.g.
6 Answers
6
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How to apply a function to two columns of Pandas dataframe
...dex the Series to get the values needed.
In [49]: df
Out[49]:
0 1
0 1.000000 0.000000
1 -0.494375 0.570994
2 1.000000 0.000000
3 1.876360 -0.229738
4 1.000000 0.000000
In [50]: def f(x):
....: return x[0] + x[1]
....:
In [51]: df.apply(f, axis=1) #passes...