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Mongo: find items that don't have a certain field
...owLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by \u003ca href=\"https://imgur.com/\"\u003e\u003csvg class=\"svg-icon\...
Reading file contents on the client-side in javascript in various browsers
...has been proposed as a standard and implemented in most browsers (as of IE 10, which added support for FileReader API described here, though not yet the File API). The API is a bit more complicated than the older Mozilla API, as it is designed to support asynchronous reading of files, better support...
Is there an R function for finding the index of an element in a vector?
...
The function match works on vectors :
x <- sample(1:10)
x
# [1] 4 5 9 3 8 1 6 10 7 2
match(c(4,8),x)
# [1] 1 5
match only returns the first encounter of a match, as you requested. It returns the position in the second argument of the values in the first argument.
F...
switch() statement usage
...uq max
1 test1("mean") 709 771 864 951 16122411
2 test2("mean") 1007 1073 1147 1223 8012202
> microbenchmark(test1('trimmed'), test2('trimmed'), times=1e6)
Unit: nanoseconds
expr min lq median uq max
1 test1("trimmed") 733 792 843 944 60440833
2 test2(...
Get contentEditable caret index position
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10 Answers
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What's the difference between Sender, From and Return-Path?
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answered Dec 6 '10 at 14:37
Shawn D.Shawn D.
6,45588 gold badges3030 silver badges4545 bronze badges
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Difference between C++03 throw() specifier C++11 noexcept
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Just found this stackoverflow.com/questions/10787766/… ...
– hmjd
Feb 20 '13 at 14:17
1
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Transfer git repositories from GitLab to GitHub - can we, how to and pitfalls (if any)?
... answer myself.
– VonC
Mar 8 '14 at 10:05
5
Any comments on importing issues and labels? Can anyt...
What's the difference between BaseAdapter and ArrayAdapter?
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edited Mar 10 '15 at 14:21
answered May 28 '13 at 15:50
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python pandas: Remove duplicates by columns A, keeping the row with the highest value in column B
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This takes the last. Not the maximum though:
In [10]: df.drop_duplicates(subset='A', keep="last")
Out[10]:
A B
1 1 20
3 2 40
4 3 10
You can do also something like:
In [12]: df.groupby('A', group_keys=False).apply(lambda x: x.loc[x.B.idxmax()])
Out[12]:
A ...