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How to split a delimited string into an array in awk?
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Have you tried:
echo "12|23|11" | awk '{split($0,a,"|"); print a[3],a[2],a[1]}'
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Random float number generation
...need to employ a more advanced method.
This will generate a number from 0.0 to 1.0, inclusive.
float r = static_cast <float> (rand()) / static_cast <float> (RAND_MAX);
This will generate a number from 0.0 to some arbitrary float, X:
float r2 = static_cast <float> (rand()) / ...
How to wait in a batch script? [duplicate]
I am trying to write a batch script and trying to wait 10 seconds between 2 function calls. The command:
6 Answers
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sed: print only matching group
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140
Match the whole line, so add a .* at the beginning of your regex. This causes the entire line to...
Awk学习笔记 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...达式元字符
8. POSIX字符集
9. 匹配操作符(~)
10. 比较表达式
11. 范围模板
12. 一个验证passwd文件有效性的例子
13. 几个实例
14. awk编程
14.1. 变量
14.2. BEGIN模块
14.3. END模块
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How to change plot background color?
...an use set_facecolor:
ax.set_facecolor('xkcd:salmon')
ax.set_facecolor((1.0, 0.47, 0.42))
As a refresher for what colors can be:
matplotlib.colors
Matplotlib recognizes the following formats to specify a color:
an RGB or RGBA tuple of float values in [0, 1] (e.g., (0.1, 0.2, 0....
What is the maximum length of latitude and longitude? [closed]
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If latitude coordinate is reported as -6.3572375290155 or -63.572375290155 in decimal degrees then you could round-off and store up to 6 decimal places for 10 cm (or 0.1 meter) precision.
Overview
The valid range of latitude in degrees is -90 and +90 for the southern and nor...
how does array[100] = {0} set the entire array to 0?
How does the compiler fill values in char array[100] = {0}; ? What's the magic behind it?
4 Answers
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Remove trailing zeros
...this, if the input IS a string? You can use one of these:
string.Format("{0:G29}", decimal.Parse("2.0044"))
decimal.Parse("2.0044").ToString("G29")
2.0m.ToString("G29")
This should work for all input.
Update Check out the Standard Numeric Formats I've had to explicitly set the precision specif...
Compare two DataFrames and output their differences side-by-side
... rows are empty*:
In [21]: ne = (df1 != df2).any(1)
In [22]: ne
Out[22]:
0 False
1 True
2 True
dtype: bool
Then we can see which entries have changed:
In [23]: ne_stacked = (df1 != df2).stack()
In [24]: changed = ne_stacked[ne_stacked]
In [25]: changed.index.names = ['id', 'col']
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