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Pandas dataframe get first row of each group
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>>> df.groupby('id').first()
value
id
1 first
2 first
3 first
4 second
5 first
6 first
7 fourth
If you need id as column:
>>> df.groupby('id').first().reset_index()
id value
0 1 first
1 2 first
2 3 first
3 4 seco...
How to convert a scala.List to a java.util.List?
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import scala.collection.jcl.ArrayList
unconvertList(new ArrayList ++ List(1,2,3))
From Scala 2.8 onwards:
import scala.collection.JavaConversions._
import scala.collection.mutable.ListBuffer
asList(ListBuffer(List(1,2,3): _*))
val x: java.util.List[Int] = ListBuffer(List(1,2,3): _*)
However, a...
How do I force make/GCC to show me the commands?
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edited Jan 8 '17 at 4:43
Steven Penny
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is it possible to evenly distribute buttons across the width of an android linearlayout
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19 Answers
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Open Redis port for remote connections
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219
Did you set the bind option to allow remote access on the redis server?
Before (file /etc/redi...
Naming returned columns in Pandas aggregate function? [duplicate]
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107
This will drop the outermost level from the hierarchical column index:
df = data.groupby(...)...
What's the function like sum() but for multiplication? product()?
...ort operator
def prod(iterable):
return reduce(operator.mul, iterable, 1)
>>> prod(range(1, 5))
24
Note, in Python 3, the reduce() function was moved to the functools module.
Specific case: Factorials
As a side note, the primary motivating use case for prod() is to compute factorials....
Check if an element is present in an array [duplicate]
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1044
ECMAScript 2016 incorporates an includes() method for arrays that specifically solves the pro...
How may I sort a list alphabetically using jQuery?
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10 Answers
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Return Boolean Value on SQL Select Statement
...STS (
SELECT *
FROM [User]
WHERE UserID = 20070022
)
THEN CAST(1 AS BIT)
ELSE CAST(0 AS BIT) END
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