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Find nearest value in numpy array
...(array - value)).argmin()
return array[idx]
array = np.random.random(10)
print(array)
# [ 0.21069679 0.61290182 0.63425412 0.84635244 0.91599191 0.00213826
# 0.17104965 0.56874386 0.57319379 0.28719469]
value = 0.5
print(find_nearest(array, value))
# 0.568743859261
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Floating elements within a div, floats outside of div. Why?
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10 Answers
10
Active
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Bootstrap carousel multiple frames at once
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20
Can this be done with bootstrap 3's carousel? I'm hoping I won't have
to go hunting for yet...
How to read the content of a file to a string in C?
...-codes for fseek, ftell and fread. (omitted for clarity).
char * buffer = 0;
long length;
FILE * f = fopen (filename, "rb");
if (f)
{
fseek (f, 0, SEEK_END);
length = ftell (f);
fseek (f, 0, SEEK_SET);
buffer = malloc (length);
if (buffer)
{
fread (buffer, 1, length, f);
}
fclo...
How to normalize a NumPy array to within a certain range?
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140
audio /= np.max(np.abs(audio),axis=0)
image *= (255.0/image.max())
Using /= and *= allows you ...
How to smooth a curve in the right way?
...bove.
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0,2*np.pi,100)
y = np.sin(x) + np.random.random(100) * 0.2
yhat = savitzky_golay(y, 51, 3) # window size 51, polynomial order 3
plt.plot(x,y)
plt.plot(x,yhat, color='red')
plt.show()
UPDATE: It has come to my attention t...
CSS hexadecimal RGBA?
...and 8-digit hexadecimal RGBA notation!
Three weeks ago (18th of December 2014) the CSS Color Module Level 4 editor's draft was submitted to the CSS W3C Working Group. Though in a state which is heavily susceptible to change, the current version of the document implies that in the somewhat near fut...
100% width Twitter Bootstrap 3 template
I am a bootstrap newbie and I have a 100% wide template that I want to code with bootstrap. The first column begins at the left corner and I have a Google map the stretches to the rightmost. I thought I could do this with container-fluid class, but that doesn't seem to be available any longer. I h...
Numpy: Get random set of rows from 2D array
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200
>>> A = np.random.randint(5, size=(10,3))
>>> A
array([[1, 3, 0],
[3, ...
Why use strong named assemblies?
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edited Jun 10 at 14:18
Jan Nils Ferner
2,81422 gold badges1414 silver badges3131 bronze badges
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