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Extract a regular expression match
..."aaa12456xxx",test,test+attr(test,"match.length")-1)
I'm sure there is a more elegant way to do this, but this was the fastest way I could find. Alternatively, you can use sub/gsub to strip out what you don't want to leave what you do want.
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Regular expression for a hexadecimal number?
...g with a 0, following by either a lower or uppercase x, followed by one or more characters in the ranges 0-9, or a-f, or A-F
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Relatively position an element without it taking up space in document flow
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somehow makes more sense to me than the other answer
– markasoftware
Nov 3 '13 at 4:44
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What is the difference between a field and a property?
...ly-upvoted incorrect comments. A property should always encapsulate one or more fields, and should never do any heavy lifting or validation. If you need a property such a UserName or Password to have validation, change their type from strings to Value Objects. There is an unspoken contract between ...
How do I auto-reload a Chrome extension I'm developing?
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Replacement for “rename” in dplyr
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Could you explain the syntax? That's more important than the command. I'm using rename(TheDataFrame,OldVarName=NewVarName) but I get Error: Unknown variables: NewVarName. and I don't understand why.
– s_a
Dec 5 '14 at 16:06...
What is the advantage of using Restangular over ngResource?
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how is .one('users', 123) any more or less "knowing" about your URL than '/users/123'? (just playing Devil's advocate) It just seems like '/foo/123/bar/123' is a lot easier than .one('foo', 123).one('bar', 123).
– Ben Lesh
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How can I implement a tree in Python?
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Get the current year in JavaScript
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The footer example above would be more clear if it were just: <footer> <span id="year"></span> </footer>
– Mike
Jun 1 '19 at 3:38
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Changing the “tick frequency” on x or y axis in matplotlib?
...s to a sensible number of significant digits. However, if you wish to have more control over the format, you can define your own formatter. For example,
ax.xaxis.set_major_formatter(ticker.FormatStrFormatter('%0.1f'))
Here's a runnable example:
import numpy as np
import matplotlib.pyplot as plt
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