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Remove element by id
... }
}
And then you can remove elements like this
document.getElementById("my-element").remove();
or
document.getElementsByClassName("my-elements").remove();
Note: this solution doesn't work for IE 7 and below. For more info about extending the DOM read this article.
EDIT: Reviewing my ans...
One-liner to recursively list directories in Ruby?
...ost optimized, one-liner way to get an array of the directories (excluding files) in Ruby?
9 Answers
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What does ^M character mean in Vim?
...of ^M with the empty string (i.e. nothing). I use this to get rid of ^M in files copied from Windows to Unix (Solaris, Linux, OSX).
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Should enums in C# have their own file? [closed]
I have a class which uses an enumeration, the enum is currently in its own file which seems wasteful.
15 Answers
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How can I force clients to refresh JavaScript files?
...e are running into is that after we push out an update with new JavaScript files, the client browsers still use the cached version of the file and they do not see the update. Obviously, on a support call, we can simply inform them to do a ctrl F5 refresh to ensure that they get the up-to-date fil...
Using Razor, how do I render a Boolean to a JavaScript variable?
How do I render a Boolean to a JavaScript variable in a cshtml file?
6 Answers
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How to grep and replace
I need to recursively search for a specified string within all files and subdirectories within a directory and replace this string with another string.
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How to compare binary files to check if they are the same?
...ng a graphical tool or command line on Ubuntu Linux) to know if two binary files are the same or not (except for the time stamps)? I do not need to actually extract the difference. I just need to know whether they are the same or not.
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How to append text to an existing file in Java?
I need to append text repeatedly to an existing file in Java. How do I do that?
31 Answers
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Change one value based on another value in pandas
...helpful for you.
import pandas
df = pandas.read_csv("test.csv")
df.loc[df.ID == 103, 'FirstName'] = "Matt"
df.loc[df.ID == 103, 'LastName'] = "Jones"
As mentioned in the comments, you can also do the assignment to both columns in one shot:
df.loc[df.ID == 103, ['FirstName', 'LastName']] = 'Matt'...