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Numpy argsort - what is it doing?
...ion
Returns the indices that would sort an array.
2 is the index of 0.0.
3 is the index of 0.1.
1 is the index of 1.41.
0 is the index of 1.48.
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From ND to 1D arrays
...c = a.flatten()
If you just want an iterator, use np.ndarray.flat:
In [20]: d = a.flat
In [21]: d
Out[21]: <numpy.flatiter object at 0x8ec2068>
In [22]: list(d)
Out[22]: [1, 2, 3, 4, 5, 6]
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Rails I18n validation deprecation warning
I just updated to rails 4.0.2 and I'm getting this warning:
5 Answers
5
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bpftrace教程【官方】 - 操作系统(内核) - 清泛网 - 专注C/C++及内核技术
...见bpftrace完整参考。
该教程贡献者是Brendan Gregg, Netflix (2018), 基于他的DTrace教程系列 DTrace Tutorial。
1. 列出所有探针
bpftrace -l 'tracepoint:syscalls:sys_enter_*'
"bpftrace -l" 列出所有探测点，并且可以添加搜索项。
探针是用于捕...
How do I represent a hextile/hex grid in memory?
...ex grids also)
– amitp
Jun 7 '13 at 0:58
I find the blog super confusing, using x,y,z and q,r,s then the implementatio...
Is False == 0 and True == 1 an implementation detail or is it guaranteed by the language?
Is it guaranteed that False == 0 and True == 1 , in Python (assuming that they are not reassigned by the user)? For instance, is it in any way guaranteed that the following code will always produce the same results, whatever the version of Python (both existing and, likely, future ones)?
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Pandas percentage of total with groupby
...swer:
# From Paul H
import numpy as np
import pandas as pd
np.random.seed(0)
df = pd.DataFrame({'state': ['CA', 'WA', 'CO', 'AZ'] * 3,
'office_id': list(range(1, 7)) * 2,
'sales': [np.random.randint(100000, 999999)
for _ in range(12...
Sort points in clockwise order?
...ook like this:
bool less(point a, point b)
{
if (a.x - center.x >= 0 && b.x - center.x < 0)
return true;
if (a.x - center.x < 0 && b.x - center.x >= 0)
return false;
if (a.x - center.x == 0 && b.x - center.x == 0) {
if (a.y - c...
pytest: assert almost equal
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I noticed that this question specifically asked about py.test. py.test 3.0 includes an approx() function (well, really class) that is very useful for this purpose.
import pytest
assert 2.2 == pytest.approx(2.3)
# fails, default is ± 2.3e-06
assert 2.2 == pytest.approx(2.3, 0.1)
# passes
# also...
Array slicing in Ruby: explanation for illogical behaviour (taken from Rubykoans.com)
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