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Split column at delimiter in data frame [duplicate]
...me.
I added a "x|y" line to avoid ambiguities:
df <- data.frame(ID=11:13, FOO=c('a|b','b|c','x|y'))
foo <- data.frame(do.call('rbind', strsplit(as.character(df$FOO),'|',fixed=TRUE)))
Or, if you want to replace the columns in the existing data.frame:
within(df, FOO<-data.frame(do.call('r...
Re-ordering columns in pandas dataframe based on column name [duplicate]
...
399
df = df.reindex(sorted(df.columns), axis=1)
This assumes that sorting the column names will ...
sqlite3-ruby install error on Ubuntu
I have the following error during sqlite3-ruby install:
19 Answers
19
...
Looping through a hash, or using an array in PowerShell
... property. Here is an example how:
$hash = @{
a = 1
b = 2
c = 3
}
$hash.Keys | % { "key = $_ , value = " + $hash.Item($_) }
Output:
key = c , value = 3
key = a , value = 1
key = b , value = 2
share
...
scp (secure copy) to ec2 instance without password
I have an EC2 instance running (FreeBSD 9 AMI ami-8cce3fe5), and I can ssh into it using my amazon-created key file without password prompt, no problem.
...
Python 3: ImportError “No Module named Setuptools”
I'm having troubles with installing packages in Python 3.
9 Answers
9
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How to get Maven project version to the bash command line
...
answered Aug 23 '10 at 7:06
Pascal ThiventPascal Thivent
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...
python pandas: apply a function with arguments to a series
...documentation). So now you can do:
my_series.apply(your_function, args=(2,3,4), extra_kw=1)
The positional arguments are added after the element of the series.
For older version of pandas:
The documentation explains this clearly. The apply method accepts a python function which should have a ...
Preferred way to create a Scala list
...end is O(1).
– Daniel C. Sobral
Aug 31 '15 at 19:33
@pgoggijr That is not true. First, there's no "change" anywhere, b...
Create numpy matrix filled with NaNs
...ed array and assign to all entries at once:
>>> a = numpy.empty((3,3,))
>>> a[:] = numpy.nan
>>> a
array([[ NaN, NaN, NaN],
[ NaN, NaN, NaN],
[ NaN, NaN, NaN]])
I have timed the alternatives a[:] = numpy.nan here and a.fill(numpy.nan) as posted by ...