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What is sr-only in Bootstrap 3?
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.sr-only {
position: absolute;
width: 1px;
height: 1px;
padding: 0;
margin: -1px;
overflow: hidden;
clip: rect(0,0,0,0);
border: 0;
}
Is it important or can I remove it? Works fine without.
It's important, don't remove it.
You should always consider screen readers for acces...
Redis - Connect to Remote Server
...the Quick Start guide on http://redis.io/topics/quickstart on my Ubuntu 10.10 server. I'm running the service as dameon (so it can be run by init.d)
...
Moving matplotlib legend outside of the axis makes it cutoff by the figure box
...plt
import numpy as np
plt.gcf().clear()
x = np.arange(-2*np.pi, 2*np.pi, 0.1)
fig = plt.figure(1)
ax = fig.add_subplot(111)
ax.plot(x, np.sin(x), label='Sine')
ax.plot(x, np.cos(x), label='Cosine')
ax.plot(x, np.arctan(x), label='Inverse tan')
handles, labels = ax.get_legend_handles_labels()
lgd =...
Possible reasons for timeout when trying to access EC2 instance
... |
edited May 12 '10 at 6:00
answered May 11 '10 at 19:55
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Google Maps: how to get country, state/province/region, city given a lat/long value?
...ld look like:
http://maps.googleapis.com/maps/api/geocode/json?latlng=40.714224,-73.961452&sensor=false
Response:
{
"status": "OK",
"results": [ {
"types": [ "street_address" ],
"formatted_address": "275-291 Bedford Ave, Brooklyn, NY 11211, USA",
"address_components": [ {
...
How to include “zero” / “0” results in COUNT aggregate?
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102
You want an outer join for this (and you need to use person as the "driving" table)
SELECT per...
How to normalize an array in NumPy?
...mpy as np
from sklearn.preprocessing import normalize
x = np.random.rand(1000)*10
norm1 = x / np.linalg.norm(x)
norm2 = normalize(x[:,np.newaxis], axis=0).ravel()
print np.all(norm1 == norm2)
# True
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Catching error codes in a shell pipe
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20
If you really don't want the second command to proceed until the first is known to be successful...
What does multicore assembly language look like?
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10 Answers
10
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dplyr summarise: Equivalent of “.drop=FALSE” to keep groups with zero length in output
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Since dplyr 0.8 group_by gained the .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)...