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Rename specific column(s) in pandas
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edited May 23 '17 at 12:34
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answered Nov 3 '13 at 21:32
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Find value in an array
... array, and if that's the case, you can use Array#include?(value):
a = [1,2,3,4,5]
a.include?(3) # => true
a.include?(9) # => false
If you mean something else, check the Ruby Array API
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Nested JSON objects - do I have to use arrays for everything?
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204
You don't need to use arrays.
JSON values can be arrays, objects, or primitives (numbers or s...
Optimal way to concatenate/aggregate strings
...lly before concatenation).
I've quickly tested the solution on SQL Server 2012 with the following data:
INSERT dbo.SourceTable (ID, Name)
VALUES
(1, 'Matt'),
(1, 'Rocks'),
(2, 'Stylus'),
(3, 'Foo'),
(3, 'Bar'),
(3, 'Baz')
The query result:
ID FullName
----------- ---------------------...
What is the preferred syntax for defining enums in JavaScript?
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939
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Iterate a list with indexes in Python
... 19] and makes it into iterable list of tuples, like so: [(0,3), (1,7), (2,19)] to use it instead of:
6 Answers
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Android ImageView Zoom-in and Zoom-Out
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24 Answers
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split string only on first instance - java
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289
string.split("=", 2);
As String.split(java.lang.String regex, int limit) explains:
The a...
Naming returned columns in Pandas aggregate function? [duplicate]
...())
# height age Seed
# 1 4.51 3 301
# 15 10.89 5 301
# 29 28.72 10 301
# 43 41.74 15 301
# 57 52.70 20 301
df = data.groupby('Seed').agg(
{'age':['sum'],
'height':['mean', 'std']})
print(df.head())
# age height
# sum std ...