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Remove grid, background color, and top and right borders from ggplot2
...d panel.background to see the axis lines.
library(ggplot2)
a <- seq(1,20)
b <- a^0.25
df <- as.data.frame(cbind(a,b))
ggplot(df, aes(x = a, y = b)) + geom_point() +
theme_bw() +
theme(axis.line = element_line(colour = "black"),
panel.grid.major = element_blank(),
panel.grid.mi...
Python assigning multiple variables to same value? list behavior
...y the behavior, I expect to reassign the values list separately, I mean b[0] and c[0] equal 0 as before.
9 Answers
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How do I override nested NPM dependency versions?
...on:
{
"dependencies": {
"grunt-contrib-connect": {
"version": "0.3.0",
"from": "grunt-contrib-connect@0.3.0",
"dependencies": {
"connect": {
"version": "2.8.1",
"from": "connect@~2.7.3"
}
}
}
}
}
npm should automatically pick i...
When should Flask.g be used?
...w that g will move from the request context to the app context in Flask 0.10, which made me confused about the intended use of g .
...
Javascript sort array by two fields
...
104
grouperArray.sort(function (a, b) {
var aSize = a.gsize;
var bSize = b.gsize;
var a...
How do I execute a command and get the output of the command within C++ using POSIX?
...ited Dec 5 '18 at 2:16
gregpaton08
31122 silver badges77 bronze badges
answered Jan 26 '09 at 6:12
waqaswaqas
...
How to add item to the beginning of List?
...
Use the Insert method:
ti.Insert(0, initialItem);
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How to install Android SDK Build Tools on the command line?
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edited Aug 24 '16 at 0:54
trygub
8788 bronze badges
answered Oct 17 '13 at 0:24
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Numpy index slice without losing dimension information
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It's probably easiest to do x[None, 10, :] or equivalently (but more readable) x[np.newaxis, 10, :].
As far as why it's not the default, personally, I find that constantly having arrays with singleton dimensions gets annoying very quickly. I'd guess the numpy...
binning data in python with scipy/numpy
... easier to use numpy.digitize():
import numpy
data = numpy.random.random(100)
bins = numpy.linspace(0, 1, 10)
digitized = numpy.digitize(data, bins)
bin_means = [data[digitized == i].mean() for i in range(1, len(bins))]
An alternative to this is to use numpy.histogram():
bin_means = (numpy.histo...