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What does .SD stand for in data.table in R
...ttps://sashat.me/2017/01/11/list-of-20-simple-distinct-colors/
col16 = c('#e6194b', '#3cb44b', '#ffe119', '#0082c8', '#f58231', '#911eb4',
'#46f0f0', '#f032e6', '#d2f53c', '#fabebe', '#008080', '#e6beff',
'#aa6e28', '#fffac8', '#800000', '#aaffc3')
par(oma = c(2, 0, 0, 0))
sappl...
What is a regular expression for a MAC Address?
... @pilcrow could you please explain why this mac: C8:FD:19:55:E6:3A fails? It's an actual mac address. I modified your regex to accept : only /^(?:[[:xdigit:]]{2}([:]))(?:[[:xdigit:]]{2}\1){4}[[:xdigit:]]{2}$/ Thanks!
– Sam
May 27 '19 at 15:37
...
Fastest way to find second (third…) highest/lowest value in vector or column
...746.7627 1433.221 1500.7865 13768.148 100
For 1 million numbers:
N = 1e6 #evaluates to 1 million
x = rnorm(N)
microbenchmark::microbenchmark(
Rfast = Rfast::nth(x,5,descending = T),
maxN = maxN(x,5),
order = x[order(x, decreasing = T)[5]]
)
Unit: milliseconds
expr min ...
Automatically import modules when entering the python or ipython interpreter
...ered Jun 20 '12 at 17:22
ravenac95ravenac95
3,2471717 silver badges2121 bronze badges
...
pandas dataframe columns scaling with sklearn
... = MinMaxScaler()
>>> dfTest = pd.DataFrame({'A':[14.00,90.20,90.95,96.27,91.21],
'B':[103.02,107.26,110.35,114.23,114.68],
'C':['big','small','big','small','small']})
>>> dfTest[['A', 'B']] = scaler.fit_transform(dfTest[['A',...
How do I parse a string to a float or int?
...erything with spaces in between cannot be converted, like "- 12.3" and "45 e6"
– Simon
Aug 12 '19 at 13:43
...
Get statistics for each group (such as count, mean, etc) using pandas GroupBy?
... -0.98 NaN -0.98 -0.98 -0.98 -0.98 -0.98
foo one 2.0 1.36 0.58 0.95 1.15 1.36 1.56 1.76
three 1.0 -0.15 NaN -0.15 -0.15 -0.15 -0.15 -0.15
two 2.0 1.42 0.63 0.98 1.20 1.42 1.65 1.87
To get specific statistics, just select them,
df.groupby(['A', 'B'])['C'].descr...
Convert list of dictionaries to a pandas DataFrame
... edited Jul 22 at 17:24
cs95
231k6060 gold badges390390 silver badges455455 bronze badges
answered Dec 17 '13 at 15:35
...
How to compare two floating point numbers in Bash?
... scientific format, provided a capital letter E is employed, e.g. num1=3.44E6
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GroupBy pandas DataFrame and select most common value
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95
Pandas >= 0.16
pd.Series.mode is available!
Use groupby, GroupBy.agg, and apply the pd.Ser...