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Are list-comprehensions and functional functions faster than “for loops”?
...in range(10)]`>)
1 0 BUILD_LIST 0
3 LOAD_FAST 0 (.0)
>> 6 FOR_ITER 12 (to 21)
9 STORE_FAST 1 (x)
12 LOAD_FAST 1 (x)
15 LIST_APPEND 2
...
How to add a new row to an empty numpy array
...
237
The way to "start" the array that you want is:
arr = np.empty((0,3), int)
Which is an empty ...
dplyr summarise: Equivalent of “.drop=FALSE” to keep groups with zero length in output
....drop argument that does just what you asked for:
df = data.frame(a=rep(1:3,4), b=rep(1:2,6))
df$b = factor(df$b, levels=1:3)
df %>%
group_by(b, .drop=FALSE) %>%
summarise(count_a=length(a))
#> # A tibble: 3 x 2
#> b count_a
#> <fct> <int>
#> 1 1 ...
How to convert a data frame column to numeric type?
...ac num
1 a 1 1 a 1
2 b 2 2 b 2
3 c 3 3 c 3
4 d 4 4 d 4
5 e 5 5 e 5
and let us run:
> sapply(d, mode)
char fake_char fac char_fac num
"character" "character...
Is there a better way to iterate over two lists, getting one element from each list for each iterati
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answered Dec 17 '09 at 2:03
Roberto BonvalletRoberto Bonvallet
25.9k55 gold badges3737 silver badges5555 bronze badges
...
What is the difference between Python's list methods append and extend?
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5329
append: Appends object at the end.
x = [1, 2, 3]
x.append([4, 5])
print (x)
gives you: [1, ...
Center a column using Twitter Bootstrap 3
...f one column size within the container (12 columns) in Twitter Bootstrap 3 ?
34 Answers
...
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 ...
Is Integer Immutable
... |
edited Oct 2 '19 at 18:37
answered Apr 6 '11 at 0:35
Tra...