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Change select box option background color
... tag...
select option {
margin: 40px;
background: rgba(0, 0, 0, 0.3);
color: #fff;
text-shadow: 0 1px 0 rgba(0, 0, 0, 0.4);
}
If you want to style each one of the option tags.. use the css attribute selector:
select option {
margin: 40px;
background: rgba(0, 0, 0, 0.3);...
How to make link look like a button?
... |
edited Jun 2 at 9:37
answered Dec 2 '11 at 13:42
De...
Find the most frequent number in a numpy vector
...ted/numpy.bincount.html
and then probably use np.argmax:
a = np.array([1,2,3,1,2,1,1,1,3,2,2,1])
counts = np.bincount(a)
print(np.argmax(counts))
For a more complicated list (that perhaps contains negative numbers or non-integer values), you can use np.histogram in a similar way. Alternatively, if ...
Why is there no xrange function in Python3?
Recently I started using Python3 and it's lack of xrange hurts.
6 Answers
6
...
How to make rounded percentages add up to 100%
...
34
Since none of the answers here seem to solve it properly, here's my semi-obfuscated version usi...
Center content of UIScrollView when smaller
...our needs
– wuf810
Apr 15 '11 at 10:36
2
Stackoverflow GOLD STAR for this. I was struggling with ...
Algorithm for Determining Tic Tac Toe Game Over
...
133
You know a winning move can only happen after X or O has made their most recent move, so you ca...
Is 'float a = 3.0;' a correct statement?
...
It is not an error to declare float a = 3.0 : if you do, the compiler will convert the double literal 3.0 to a float for you.
However, you should use the float literals notation in specific scenarios.
For performance reasons:
Specifically, consider:
float fo...
How to round a number to significant figures in Python
...
You can use negative numbers to round integers:
>>> round(1234, -3)
1000.0
Thus if you need only most significant digit:
>>> from math import log10, floor
>>> def round_to_1(x):
... return round(x, -int(floor(log10(abs(x)))))
...
>>> round_to_1(0.0232)...
Set Colorbar Range in matplotlib
...p.arange(0, 10, .1)
X, Y = np.meshgrid(x,y)
data = 2*( np.sin(X) + np.sin(3*Y) )
def do_plot(n, f, title):
#plt.clf()
plt.subplot(1, 3, n)
plt.pcolor(X, Y, f(data), cmap=cm, vmin=-4, vmax=4)
plt.title(title)
plt.colorbar()
plt.figure()
do_plot(1, lambda x:x, "all")
do_plot(2, ...