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Call apply-like function on each row of dataframe with multiple arguments from each row
I have a dataframe with multiple columns. For each row in the dataframe, I want to call a function on the row, and the input of the function is using multiple columns from that row. For example, let's say I have this data and this testFunc which accepts two args:
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Strip whitespace from jsp output
How can I strip out extra whitespace from jsp pages' output? Is there a switch I can flip on my web.xml? Is there a Tomcat specific setting?
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Iterate keys in a C++ map
Is there a way to iterate over the keys, not the pairs of a C++ map?
19 Answers
19
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How to create multiple levels of indentation in Javadoc?
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You can pretty freely use HTML inside javadoc comments.
Update: Because it came up, I tried
<ul>
<li>one</li>
<ul>
<li>one point one</li>
</ul>
</ul>
and get
one
one point one
I agree proper nes...
How to capture the browser window close event?
...to capture the browser window/tab close event.
I have tried the following with jQuery:
17 Answers
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Reloading submodules in IPython
...Ipython is used as interactive console. Unfortunately I am not very happy with workflow that I am using right now, I would appreciate some advice.
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GroupBy pandas DataFrame and select most common value
I have a data frame with three string columns. I know that the only one value in the 3rd column is valid for every combination of the first two. To clean the data I have to group by data frame by first two columns and select most common value of the third column for each combination.
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Importing modules from parent folder
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It seems that the problem is not related to the module being in a parent directory or anything like that.
You need to add the directory that contains ptdraft to PYTHONPATH
You said that import nib worked with you, that prob...
Simplest way to read json from a URL in java
... Maven artifact org.json:json I got the following code, which I think is quite short. Not as short as possible, but still usable.
package so4308554;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.Reader;
impor...
how does multiplication differ for NumPy Matrix vs Array classes?
The numpy docs recommend using array instead of matrix for working with matrices. However, unlike octave (which I was using till recently), * doesn't perform matrix multiplication, you need to use the function matrixmultipy(). I feel this makes the code very unreadable.
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