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How do Trigonometric functions work?
... a standard interval. For starters, you could reduce angles to be between 0 and 360 degrees. But by using a few identities, you realize you could get by with less. If you calculate sines and cosines for angles between 0 and 45 degrees, you can bootstrap your way to calculating all trig functions f...
What's the best way to get the last element of an array without deleting it?
... share my findings with you, benchmarked against PHP versions 5.6.38, 7.2.10 and 7.3.0RC1 (expected Dec 13 2018).
The options (<<option code>>s) I will test are:
option .1. $x = array_values(array_slice($array, -1))[0]; (as suggested by rolacja)
option .2. $x = array_slice($array, -1)...
Most efficient way to reverse a numpy array
...vehasteveha
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...
Replacing column values in a pandas DataFrame
... something like this:
w['female'] = w['female'].map({'female': 1, 'male': 0})
(Here I convert the values to numbers instead of strings containing numbers. You can convert them to "1" and "0", if you really want, but I'm not sure why you'd want that.)
The reason your code doesn't work is because...
CSS - Overflow: Scroll; - Always show vertical scroll bar?
...
401
Just ran into this problem myself. OSx Lion hides scrollbars while not in use to make it seem m...
Drawable image on a canvas
...|
edited Dec 15 '18 at 12:07
answered Apr 8 '14 at 8:36
Gá...
Get ffmpeg information in friendly way
... would yield something like the following:
{
"streams": [{
"index": 0,
"codec_name": "wmv3",
"codec_long_name": "Windows Media Video 9",
"codec_type": "video",
"codec_time_base": "1/1000",
"codec_tag_string": "WMV3",
"codec_tag": "0x33564d57",
"width": 320,
"he...
Embed SVG in SVG?
...ur SVG file. For fun, save the following as recursion.svg:
<svg width="100%" height="100%" viewBox="-100 -100 200 200" version="1.1"
xmlns="http://www.w3.org/2000/svg">
<circle cx="-50" cy="-50" r="30" style="fill:red" />
<image x="10" y="20" width="80" height="80" href="recu...
Compute a confidence interval from sample data
...y as np
import scipy.stats
def mean_confidence_interval(data, confidence=0.95):
a = 1.0 * np.array(data)
n = len(a)
m, se = np.mean(a), scipy.stats.sem(a)
h = se * scipy.stats.t.ppf((1 + confidence) / 2., n-1)
return m, m-h, m+h
you can calculate like this way.
...
Array include any value from another array?
...
answered Oct 15 '10 at 11:55
NakilonNakilon
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