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Modulo operation with negative numbers
... sense, logically. Right?
Let's see what this leads to:
Example A. 5/(-3) is -1
=> (-1) * (-3) + 5%(-3) = 5
This can only happen if 5%(-3) is 2.
Example B. (-5)/3 is -1
=> (-1) * 3 + (-5)%3 = -5
This can only happen if (-5)%3 is -2
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C++: How to round a double to an int? [duplicate]
...le (call it x), meant to be 55 but in actuality stored as 54.999999999999943157 which I just realised.
5 Answers
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Reorder levels of a factor without changing order of values
...f <- data.frame(f = 1:4, g = letters[1:4])
df
# f g
# 1 1 a
# 2 2 b
# 3 3 c
# 4 4 d
levels(df$g)
# [1] "a" "b" "c" "d"
df$g <- factor(df$g, levels = letters[4:1])
# levels(df$g)
# [1] "d" "c" "b" "a"
df
# f g
# 1 1 a
# 2 2 b
# 3 3 c
# 4 4 d
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Modulo operator with negative values [duplicate]
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3 Answers
3
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How to do multiple arguments to map function where one remains the same in python?
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One option is a list comprehension:
[add(x, 2) for x in [1, 2, 3]]
More options:
a = [1, 2, 3]
import functools
map(functools.partial(add, y=2), a)
import itertools
map(add, a, itertools.repeat(2, len(a)))
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Evenly space multiple views within a container view
...at it worked.
Duh 2: The 'spacer views' could have been transparent.
Duh 3: This approach could be applied horizontally.
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Most popular screen sizes/resolutions on Android phones [closed]
...king for.
– dfetter88
Jun 7 '11 at 23:07
21
That link says nothing of how common a resolution is....
Detect and exclude outliers in Pandas data frame
...ression would do that in one shot.
df = pd.DataFrame(np.random.randn(100, 3))
from scipy import stats
df[(np.abs(stats.zscore(df)) < 3).all(axis=1)]
description:
For each column, first it computes the Z-score of each value in the
column, relative to the column mean and standard deviation.
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Get a random boolean in python?
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349
Adam's answer is quite fast, but I found that random.getrandbits(1) to be quite a lot faster. ...