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How can I check whether a numpy array is empty or not?
...e a look at the .size attribute. It is defined as an integer, and is zero (0) when there are no elements in the array:
import numpy as np
a = np.array([])
if a.size == 0:
# Do something when `a` is empty
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How to combine multiple conditions to subset a data-frame using “OR”?
... it is to be handled as I intended, since ...
> NA & 1
[1] NA
> 0 & NA
[1] FALSE
Order of arguments may matter when using '&".
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Depend on a branch or tag using a git URL in a package.json?
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580
From the npm docs:
git://github.com/<user>/<project>.git#<branch>
git://gith...
Content Security Policy “data” not working for base64 Images in Chrome 28
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edited Dec 9 '16 at 10:25
Pang
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Prevent strace from abbreviating arguments?
...strace is abbreviating the arguments to execve (I see "..." after about 30 characters), preventing me from getting any useful information. How can I get the full text of each argument?
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How to open a web server port on EC2 instance
I'm running a CherryPy web server at 0.0.0.0:8787 on an EC2 instance.
3 Answers
3
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Bash tool to get nth line from a file
...re NUM is the number of the line you want to print; so, for example, sed '10q;d' file to print the 10th line of file.
Explanation:
NUMq will quit immediately when the line number is NUM.
d will delete the line instead of printing it; this is inhibited on the last line because the q causes the res...
How add “or” in switch statements?
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edited May 11 '09 at 14:56
answered May 11 '09 at 14:51
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New line in Sql Query
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Pinal Dave explains this well in his blog.
http://blog.sqlauthority.com/2009/07/01/sql-server-difference-between-line-feed-n-and-carriage-return-r-t-sql-new-line-char/
DECLARE @NewLineChar AS CHAR(2) = CHAR(13) + CHAR(10)
PRINT ('SELECT FirstLine AS FL ' + @NewLineChar + 'SELECT SecondLine AS SL'...
How to split/partition a dataset into training and test datasets for, e.g., cross validation?
...k of the indices:
import numpy
# x is your dataset
x = numpy.random.rand(100, 5)
numpy.random.shuffle(x)
training, test = x[:80,:], x[80:,:]
or
import numpy
# x is your dataset
x = numpy.random.rand(100, 5)
indices = numpy.random.permutation(x.shape[0])
training_idx, test_idx = indices[:80], ind...