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Finding duplicates in O(n) time and O(1) space
Input: Given an array of n elements which contains elements from 0 to n-1, with any of these numbers appearing any number of times.
...
Naming returned columns in Pandas aggregate function? [duplicate]
...
107
This will drop the outermost level from the hierarchical column index:
df = data.groupby(...)....
Extract elements of list at odd positions
...l. The result will contain the elements placed on the following positions (0-based, so first element is at position 0, second at 1 etc.):
1, 3, 5
so the result (actual numbers) will be:
2, 4, 6
Explanation
The [1::2] at the end is just a notation for list slicing. Usually it is in the followi...
Making WPF applications look Metro-styled, even in Windows 7? (Window Chrome / Theming / Theme)
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+100
What I did was creating my own Window and Style. Because I like to have control over everything and I didn't want some external libra...
while (1) vs. while(True) — Why is there a difference (in python 2 bytecode)?
...ntents of True. In other words, True is reassignable:
Python 2.7 (r27:82508, Jul 3 2010, 21:12:11)
[GCC 4.0.1 (Apple Inc. build 5493)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> True = 4
>>> True
4
In Python 3.x it truly becomes a k...
Modify SVG fill color when being served as Background-Image
... |
edited Dec 21 '18 at 0:15
David Neto
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answered ...
Append value to empty vector in R?
...et.seed(21)
values <- sample(letters, 1e4, TRUE)
vector <- character(0)
# slow
system.time( for (i in 1:length(values)) vector[i] <- values[i] )
# user system elapsed
# 0.340 0.000 0.343
vector <- character(length(values))
# fast(er)
system.time( for (i in 1:length(values)) vec...
Is it correct to use JavaScript Array.sort() method for shuffling?
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110
It's never been my favourite way of shuffling, partly because it is implementation-specific as y...
How do I find out if first character of a string is a number?
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260
Character.isDigit(string.charAt(0))
Note that this will allow any Unicode digit, not just 0-9....
How to filter Pandas dataframe using 'in' and 'not in' like in SQL
...where)
As a worked example:
import pandas as pd
>>> df
country
0 US
1 UK
2 Germany
3 China
>>> countries_to_keep
['UK', 'China']
>>> df.country.isin(countries_to_keep)
0 False
1 True
2 False
3 True
Name: country, dtype: bool
>>>...
