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Cast Object to Generic Type for returning
...rSpaceTrucker
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59
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figure of imshow() is too small
...'t need an equal aspect you can set aspect to auto
imshow(random.rand(8, 90), interpolation='nearest', aspect='auto')
which gives the following figure
If you want an equal aspect ratio you have to adapt your figsize according to the aspect
fig, ax = subplots(figsize=(18, 2))
ax.imshow(random....
Convert a number range to another range, maintaining ratio
...) + NewMin
Or if you want to protect for the case where the old range is 0 (OldMin = OldMax):
OldRange = (OldMax - OldMin)
if (OldRange == 0)
NewValue = NewMin
else
{
NewRange = (NewMax - NewMin)
NewValue = (((OldValue - OldMin) * NewRange) / OldRange) + NewMin
}
Note that in this...
On localhost, how do I pick a free port number?
...do I figure out which port is available? I assume I cannot listen on port 80 or 21?
5 Answers
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How to bind a List to a ComboBox?
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160
As you are referring to a combobox, I'm assuming you don't want to use 2-way databinding (if so,...
Is there a standard sign function (signum, sgn) in C/C++?
...+ version yet:
template <typename T> int sgn(T val) {
return (T(0) < val) - (val < T(0));
}
Benefits:
Actually implements signum (-1, 0, or 1). Implementations here using copysign only return -1 or 1, which is not signum. Also, some implementations here are returning a float (or...
Gradients on UIView and UILabels On iPhone [duplicate]
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answered Jan 8 '09 at 0:59
Kendall Helmstetter GelnerKendall Helmstetter Gelner
72.5k2626 gold badges123123 silver badges146146 bronze badges
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Is SQL or even TSQL Turing Complete?
...
Qantas 94 Heavy
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answered Sep 28 '11 at 7:59
Jan de VosJan de Vos
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Simple way to create matrix of random numbers
...
Take a look at numpy.random.rand:
Docstring: rand(d0, d1, ..., dn)
Random values in a given shape.
Create an array of the given shape and propagate it with random
samples from a uniform distribution over [0, 1).
>>> import numpy as np
>>> np....
pandas read_csv and filter columns with usecols
...andas as pd
from StringIO import StringIO
csv = r"""dummy,date,loc,x
bar,20090101,a,1
bar,20090102,a,3
bar,20090103,a,5
bar,20090101,b,1
bar,20090102,b,3
bar,20090103,b,5"""
df = pd.read_csv(StringIO(csv),
header=0,
index_col=["date", "loc"],
usecols=["date", "loc", "x"],
...