How to plot spikes of neurons' data set?

How to plot spikes of neurons' data set? - excel

I have a dataset that you can see below. I just wanted to plot these spikes of neurons in one graph such as barchart. How can we plot and show this graph visually sensible. I am using Excel at the moment; however, Matlab, Python, R any programming language, software or tool would be helpful.
TIME N1 N2 N3 N4 ALL
0 0 0 0 0 0
0.01 0 1 0 0 1
0.02 0 0 1 0 1
0.03 0 0 0 0 0
0.04 0 0 0 0 0
0.05 0 0 1 0 1
0.06 0 0 0 0 0
0.07 0 0 0 0 0
0.08 1 0 0 0 1
0.09 0 0 0 0 0
0.1 0 0 0 0 0
0.11 0 0 0 0 0
0.12 0 0 0 0 0
0.13 0 0 0 0 0
0.14 0 0 0 0 0
0.15 0 0 0 0 0
0.16 0 1 0 0 1
0.17 0 0 0 0 0
0.18 0 0 0 0 0
0.19 0 0 0 0 0
0.2 0 0 1 0 1
0.21 0 0 0 0 0
0.22 0 0 0 0 0
0.23 1 0 0 0 1
0.24 0 0 0 0 0
0.25 0 0 0 0 0
0.26 1 0 0 0 1
0.27 0 0 0 0 0
0.28 0 0 0 1 1

Related

re-indexing a dataset that has empty rows that are being transformed as columns using pivot

I'm needing to separate a row into multiple columns, for a previous post was able to separate that, but some of the rows are empty and because of that, I get this error:
ValueError: Index contains duplicate entries, cannot reshape
here is a sample dataset to mock up this issue:
myData = [['Abc: 9.22 Mno: 6.90 IExplorer 0.00 OCa: 0.00 Foo: 0.00'],
['Abc: 0.61 Mno: 0.14'],
[''],
['MCheese: (37.20) dimes: (186.02) Feria: (1,586.02)'],
['Abc: 16.76 Mno: 4.25 OMG: 63.19'],
['yonka: 19.27'],
['Dome: (552.23)'],
['Fray: 2,584.96'],
['CC: (83.31)'],
[''],
['Abc: 307.34 Mno: 18.40 Feria: 509.67'],
['IExplorer: 26.28 OCa: 26.28 Foo: 730.68'],
['Abc: 122.66 Mno: 11.85 Feria: 213.24'],
[''],
['Wonka: (13.67) Fray: (1,922.48)'],
['Mno: 18.19 IExplorer: 0.00 OCa: 0.00 Foo: 0.00'],
['Abc: 74.06 Mno: 12.34 Feria: 124.42 MCheese: (4.07)'],
[''],
['Abc: 45.96 Mno: 18.98 IExplorer: 0.00 OCa: 0.00 Foo: 0.00'],
['IExplorer: 0.00 OCa: 0.00 Dome: (166.35) Foo: 0.00'],
['']]
df7 = pd.DataFrame(myData)
df7.columns = ['Original']
df7['Original'] = df7['Original'].str.replace(" ","")
df7['Original']
after separating the columns with a regex from a previous post I get results:
df8 = df7['Original'].str.extractall(r'^(.*?):([\(\)(\,)0-9.]+)').reset_index().fillna(0)
df8 = df8.pivot(index='level_0', columns=0, values=1).rename_axis(index=None, columns=None).fillna(0)
df8
this gives me this result:
Abc CC Dome Fries IExplorer MCheese Mno Wonka yonka
0 9.22 0 0 0 0 0 0 0 0
1 0.61 0 0 0 0 0 0 0 0
3 0 0 0 0 0 (37.20) 0 0 0
4 16.76 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 19.27
6 0 0 (552.23) 0 0 0 0 0 0
7 0 0 0 2,584.96 0 0 0 0 0
8 0 (83.31) 0 0 0 0 0 0 0
10 307.34 0 0 0 0 0 0 0 0
11 0 0 0 0 26.28 0 0 0 0
12 122.66 0 0 0 0 0 0 0 0
14 0 0 0 0 0 0 0 (13.67) 0
15 0 0 0 0 0 0 18.19 0 0
16 74.06 0 0 0 0 0 0 0 0
18 45.96 0 0 0 0 0 0 0 0
19 0 0 0 0 0.00 0 0 0 0
if I change the regex the number of columns increase but I do not get the entirety of the dataset. This second part for this particular sample gives me more columns with this last snippet code.
df8 = df7['Original'].str.extractall(r'(.*?):([\(\)(\,)0-9.]+)').reset_index().fillna(0)
df8 = df8.pivot(index='level_0', columns=0, values=1).rename_axis(index=None, columns=None).fillna(0)
df8
Although, in my particular case the first line gives me more columns than the second one. However none of them count the empty rows.
Is there any way I can count those empty rows within the dateset whenever it finds an empty row? in total there 21 rows, I can only get to 19 shown and count.

We can use str.findall to find all the matching occurrences of regex pattern from each row, then map the occurrences to dict and create a new dataframe. This approach will avoid re-indexing the dataframe. Further you also have to fix your regex pattern to properly capture matching pairs.
s = df7['Original'].str.findall(r'([^:0-9]+):\(?([0-9.,]+)\)?')
df_out = pd.DataFrame(map(dict, s), index=s.index).fillna(0)
>>> df_out
Abc Mno OCa Foo MCheese dimes Feria OMG yonka Dome Fray CC IExplorer Wonka
0 9.22 6.90 0.00 0.00 0 0 0 0 0 0 0 0 0 0
1 0.61 0.14 0 0 0 0 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 37.20 186.02 1,586.02 0 0 0 0 0 0 0
4 16.76 4.25 0 0 0 0 0 63.19 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 19.27 0 0 0 0 0
6 0 0 0 0 0 0 0 0 0 552.23 0 0 0 0
7 0 0 0 0 0 0 0 0 0 0 2,584.96 0 0 0
8 0 0 0 0 0 0 0 0 0 0 0 83.31 0 0
9 0 0 0 0 0 0 0 0 0 0 0 0 0 0
10 307.34 18.40 0 0 0 0 509.67 0 0 0 0 0 0 0
11 0 0 26.28 730.68 0 0 0 0 0 0 0 0 26.28 0
12 122.66 11.85 0 0 0 0 213.24 0 0 0 0 0 0 0
13 0 0 0 0 0 0 0 0 0 0 0 0 0 0
14 0 0 0 0 0 0 0 0 0 0 1,922.48 0 0 13.67
15 0 18.19 0.00 0.00 0 0 0 0 0 0 0 0 0.00 0
16 74.06 12.34 0 0 4.07 0 124.42 0 0 0 0 0 0 0
17 0 0 0 0 0 0 0 0 0 0 0 0 0 0
18 45.96 18.98 0.00 0.00 0 0 0 0 0 0 0 0 0.00 0
19 0 0 0.00 0.00 0 0 0 0 0 166.35 0 0 0.00 0
20 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Can't change colour of dots in gnuplot for many data columns

This is part of my data
845000 0 0 0 0 0 0
845001 0 0 0 8 0 0
845002 1 0 0 0 0 0
845003 0 0 0 0 0 0
845004 0 0 7 0 0 0
845005 0 0 0 0 0 0
845006 0 0 0 0 0 0
845007 0 2 0 0 0 0
845008 0 0 0 0 0 11
845009 0 0 0 0 0 0
845010 0 0 7 0 0 0
845011 0 0 0 0 9 0
845012 0 0 0 0 0 0
845013 0 0 0 0 0 0
845014 0 0 0 8 0 0
845015 0 0 0 8 0 0
This is my picture
So I want to have all dots in black colour, but I can't and I don't know why. I write "pointcolor "black" and it doesn't work.
I use this in gnuplot
plot for [col=2:7] 'polaczone.txt' using 1:col with points pointtype 7 pointcolor "black" pointsize 2
I also have a question is it possible to delete showing "0" dots? I don't want them.

Use "linecolor" instead of "pointcolor".

difference between reading the /proc/stat files via syscall fucntion read () or via glibc function fread()

Program reading /proc/stat files via read(like cat) or via fread (like nl) return different values. read() /proc/stat return right result, while fread() return wrong result.
I had write simple C programs that just read or fread /proc/stat. read() return right values, like cat /proc/stat. fread() return wrong values,like nl /proc/stat.
I execut "top" command in my Centos7 system and then press "1" to show every cpu's detail information, it only show cpu0's information, while my system have 8 cpu cores. further more, the cpu0's information is wrong.
So I read the source code of top command, found out that it user fread() to get cpu info from /proc/stat.I change the file reading interface from glibc fread() function to read(), and it works well.
I use fread() to retrieve other file in /proc,like /proc/meminfo, it works well too.
fread() to get info from /proc/stat（command 'nl' use fread() to read content in a file）
[root#pro_app_server workspace]# nl /proc/stat
1 cpu 0 0 3375 498153 97 0 10 0 0 0
2 cpu0 0 0 1699 249246 71 0 6 0 0 0
3 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 ctxt 543672
5 btime 1544675938
6 processes 2774
7 procs_running 4
8 procs_blocked 0
9 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
10 cpu0 0 0 1699 249246 71 0 6 0 0 0
11 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
12 ctxt 543672
13 btime 1544675938
14 processes 2774
15 procs_running 4
16 procs_blocked 0
17 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
18 cpu0 0 0 1699 249246 71 0 6 0 0 0
19 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20 ctxt 543672
21 btime 1544675938
22 processes 2774
23 procs_running 4
24 procs_blocked 0
25 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
26 cpu0 0 0 1699 249246 71 0 6 0 0 0
27 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
28 ctxt 543672
29 btime 1544675938
30 processes 2774
31 procs_running 4
32 procs_blocked 0
33 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
34 cpu0 0 0 1699 249246 71 0 6 0 0 0
35 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
36 ctxt 543672
37 btime 1544675938
38 processes 2774
39 procs_running 4
40 procs_blocked 0
41 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
42 cpu0 0 0 1699 249246 71 0 6 0 0 0
43 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
44 ctxt 543672
45 btime 1544675938
46 processes 2774
47 procs_running 4
48 procs_blocked 0
49 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
50 cpu0 0 0 1699 249246 71 0 6 0 0 0
51 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
52 ctxt 543672
53 btime 1544675938
54 processes 2774
55 procs_running 4
56 procs_blocked 0
57 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
58 cpu0 0 0 1699 249246 71 0 6 0 0 0
59 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
60 ctxt 543672
61 btime 1544675938
62 processes 2774
63 procs_running 4
64 procs_blocked 0
65 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
66 cpu0 0 0 1699 249246 71 0 6 0 0 0
67 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
68 ctxt 543672
69 btime 1544675938
70 processes 2774
71 procs_running 4
72 procs_blocked 0
73 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
74 cpu0 0 0 1699 249246 71 0 6 0 0 0
75 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
76 ctxt 543672
77 btime 1544675938
78 processes 2774
79 procs_running 4
80 procs_blocked 0
81 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
82 cpu0 0 0 1699 249246 71 0 6 0 0 0
83 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
84 ctxt 543672
85 btime 1544675938
86 processes 2774
87 procs_running 4
88 procs_blocked 0
89 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
90 cpu0 0 0 1699 249246 71 0 6 0 0 0
91 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
92 ctxt 543672
93 btime 1544675938
94 processes 2774
95 procs_running 4
96 procs_blocked 0
97 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
98 cpu0 0 0 1699 249246 71 0 6 0 0 0
99 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
100 ctxt 543672
101 btime 1544675938
102 processes 2774
103 procs_running 4
104 procs_blocked 0
105 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
106 cpu0 0 0 1699 249246 71 0 6 0 0 0
107 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
108 ctxt 543672
109 btime 1544675938
110 processes 2774
111 procs_running 4
112 procs_blocked 0
113 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
114 cpu0 0 0 1699 249246 71 0 6 0 0 0
115 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
116 ctxt 543672
117 btime 1544675938
118 processes 2774
119 procs_running 4
120 procs_blocked 0
121 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337cpu 0 0 3375 498153 97 0 10 0 0 0
122 cpu0 0 0 1699 249246 71 0 6 0 0 0
123 intr 0 28 0 0 0 378 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 4129 0 124 1 0 1251 0 3 0 6879 6680 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
124 ctxt 543672
125 btime 1544675938
126 processes 2774
127 procs_running 4
128 procs_blocked 0
129 softirq 188202 0 129718 1 457 0 0 1 35688 0 22337
[root#pro_app_server workspace]#
read() to get info from /proc/stat（command 'cat' use read() to read content in a file）
[root#pro_app_server workspace]# cat -n /proc/stat
1 cpu 2058017 66 399693 188962556 16705 0 18516 5046 0 0
2 cpu0 192984 3 47418 23679955 1327 0 3599 658 0 0
3 cpu1 360654 16 59590 23478307 3861 0 2961 850 0 0
4 cpu2 322760 24 53901 23533358 3234 0 2684 736 0 0
5 cpu3 271322 4 52696 23600674 2217 0 2168 660 0 0
6 cpu4 246241 13 48638 23643590 1678 0 1918 557 0 0
7 cpu5 236649 2 46872 23660881 1362 0 1772 553 0 0
8 cpu6 208005 2 45099 23691054 1219 0 1718 484 0 0
9 cpu7 219399 1 45476 23674734 1804 0 1694 545 0 0
10 intr 731124153 637 15753 0 0 0 0 3 0 0 0 0 34 44262 0 0 0 0 0 0 0 0 0 0 0 0 74547 0 0 358100 16030715 243 0 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
11 ctxt 698139400
12 btime 1559549547
13 processes 1436019
14 procs_running 2
15 procs_blocked 0
16 softirq 240304636 1 96899354 179 55128202 0 0 6370 22706849 0 65563681
[root#pro_app_server workspace]#
user read() and fread() to retrieve other file under /proc, it seems normal
My C program with read()
[root#pro_app_server workspace]# cat readstat.c -n
1 #include <stdio.h>
2 #include <stdlib.h>
3 #include <sys/types.h>
4 #include <sys/stat.h>
5 #include <fcntl.h>
6
7 #define BUF_INC_SIZE 1024
8
9 int main()
10 {
11 int fd = 0;
12 FILE *file = NULL;
13 char *buf =NULL;
14 size_t buf_size = 0, tot_read = 0, sgl_read = 0;
15
16 fd = open("/proc/stat", O_RDONLY);
17 if(fd < 0)
18 perror("read /proc/stat fail!");
19
20 buf = malloc(BUF_INC_SIZE);
21 if(!buf)
22 perror("malloc fail!");
23 buf_size += BUF_INC_SIZE;
24
25 while(-1 != (sgl_read = read(fd, buf + tot_read, buf_size - tot_read)))
26 {
27 tot_read += sgl_read;
28 if(tot_read < buf_size)
29 break;
30
31 buf = realloc(buf, (buf_size += BUF_INC_SIZE));
32 }
33
34 free(buf);
35 close(fd);
36 return 0;
37 }
[root#pro_app_server workspace]#
My C program with fread()
[root#pro_app_server workspace]# cat freadstat.c -n
1 #include <stdio.h>
2 #include <stdlib.h>
3
4 #define BUF_INC_SIZE 1024
5
6 int main()
7 {
8 FILE *file = NULL;
9 char *buf =NULL;
10 size_t buf_size = 0, tot_read = 0, sgl_read = 0;
11
12 file = fopen("/proc/stat", "r+");
13 if(!file)
14 perror("read /proc/stat fail!");
15
16 buf = malloc(BUF_INC_SIZE);
17 if(!buf)
18 perror("malloc fail!");
19
20 buf_size += BUF_INC_SIZE;
21
22 while(0 < (sgl_read = fread(buf + tot_read, 1, buf_size - tot_read, file)))
23 {
24 tot_read += sgl_read;
25 if(tot_read < buf_size)
26 break;
27
28 buf = realloc(buf, (buf_size += BUF_INC_SIZE));
29 }
30
31 free(buf);
32 fclose(file);
33 return 0;
34 }
[root#pro_app_server workspace]#
As the adviser of aschepler, I strace my C program. :
6、strace info of read() /proc/stat (part of result):
[root#pro_app_server workspace]# strace ./readstat
execve("./readstat", ["./readstat"], [/* 23 vars */]) = 0
brk(0) = 0xcfb000
.
.
.
.
open("/proc/stat", O_RDONLY) = 3
read(3, "cpu 2275345 66 527271 203616681"..., 1024) = 1024
read(3, "0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 "..., 1024) = 602
close(3) = 0
exit_group(0) = ?
+++ exited with 0 +++
[root#pro_app_server workspace]#
7、strace info of fread() /proc/stat (part of result)
[root#pro_app_server workspace]# strace ./freadstat
execve("./freadstat", ["./freadstat"], [/* 23 vars */]) = 0
brk(0) = 0xdeb000
.
.
.
open("/tmp/tmpfeQoAKy", O_RDWR|O_CREAT|O_EXCL, 0600) = 3
unlink("/tmp/tmpfeQoAKy") = 0
fcntl(3, F_GETFL) = 0x8002 (flags O_RDWR|O_LARGEFILE)
open("/proc/stat", O_RDONLY) = 4
fstat(4, {st_mode=S_IFREG|0444, st_size=0, ...}) = 0
mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) = 0x7f7692850000
read(4, "cpu 2277177 66 528841 203745262"..., 1024) = 1024
fstat(3, {st_mode=S_IFREG|0600, st_size=0, ...}) = 0
mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) = 0x7f769284f000
write(3, "cpu 0 0 3375 498153 97 0 10 0 0"..., 4096) = 4096
write(3, " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0"..., 4096) = 4096
read(4, "0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 "..., 1024) = 602
write(3, " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0"..., 4096) = 4096
write(3, " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0"..., 4096) = 4096
read(4, "", 1024) = 0
close(4) = 0
munmap(0x7f7692850000, 4096) = 0
write(3, "5938\nprocesses 2774\nprocs_runnin"..., 1200) = 1200
lseek(3, 0, SEEK_SET) = 0
read(3, "cpu 0 0 3375 498153 97 0 10 0 0"..., 4096) = 4096
read(3, " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0"..., 4096) = 4096
read(3, " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0"..., 4096) = 4096
read(3, " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0"..., 4096) = 4096
read(3, "5938\nprocesses 2774\nprocs_runnin"..., 4096) = 1200
read(3, "", 4096) = 0
close(3) = 0
munmap(0x7f769284f000, 4096) = 0
exit_group(0) = ?
+++ exited with 0 +++
[root#pro_app_server workspace]#

How to create a confusion matrix from an incomplete dataframe in python

I have a dataframe which looks like this:
I1 I2 V
0 1 1 300
1 1 5 7
2 1 9 3
3 2 2 280
4 2 3 4
5 5 1 5
6 5 5 400
I1 and I2 represent indexes while V represent values.
The indexes with values equal to 0 have been omitted, but I'd like to get a confusion matrix showing all the values, i.e. something like this:
1 2 3 4 5 6 7 8 9
1 300 0 0 0 7 0 0 0 3
2 0 280 4 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0
5 5 0 0 0 400 0 0 0 0
6 0 0 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 0
8 0 0 0 0 0 0 0 0 0
9 0 0 0 0 0 0 0 0 0
How can I do it?
Thanks in advance!

Use set_index with unstack for reshape, for append missing values add reindex and for data cleaning rename_axis :
r = range(1, 10)
df = (df.set_index(['I1','I2'])['V']
.unstack(fill_value=0)
.reindex(index=r, columns=r, fill_value=0)
.rename_axis(None)
.rename_axis(None, axis=1))
print (df)
1 2 3 4 5 6 7 8 9
1 300 0 0 0 7 0 0 0 3
2 0 280 4 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0
5 5 0 0 0 400 0 0 0 0
6 0 0 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 0
8 0 0 0 0 0 0 0 0 0
9 0 0 0 0 0 0 0 0 0
Detail:
print (df.set_index(['I1','I2'])['V']
.unstack(fill_value=0))
I2 1 2 3 5 9
I1
1 300 0 0 7 3
2 0 280 4 0 0
5 5 0 0 400 0
Alternative solution with pivot, if all values are integers:
r = range(1, 10)
df = (df.pivot('I1','I2', 'V')
.fillna(0)
.astype(int)
.reindex(index=r, columns=r, fill_value=0)
.rename_axis(None)
.rename_axis(None, axis=1))
print (df)
1 2 3 4 5 6 7 8 9
1 300 0 0 0 7 0 0 0 3
2 0 280 4 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0
5 5 0 0 0 400 0 0 0 0
6 0 0 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 0
8 0 0 0 0 0 0 0 0 0
9 0 0 0 0 0 0 0 0 0

Option 1: Using numpy you can
In [150]: size = df[['I1', 'I2']].values.max()
In [151]: arr = np.zeros((size, size))
In [152]: arr[df.I1-1, df.I2-1] = df.V
In [153]: idx = np.arange(1, size+1)
In [154]: pd.DataFrame(arr, index=idx, columns=idx).astype(int)
Out[154]:
1 2 3 4 5 6 7 8 9
1 300 0 0 0 7 0 0 0 3
2 0 280 4 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0
5 5 0 0 0 400 0 0 0 0
6 0 0 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 0
8 0 0 0 0 0 0 0 0 0
9 0 0 0 0 0 0 0 0 0
Option 2: Using scipy.sparse.csr_matrix
In [178]: from scipy.sparse import csr_matrix
In [179]: size = df[['I1', 'I2']].values.max()
In [180]: idx = np.arange(1, size+1)
In [181]: pd.DataFrame(csr_matrix((df['V'], (df['I1']-1, df['I2']-1)), shape=(size, si
...: ze)).toarray(), index=idx, columns=idx)
Out[181]:
1 2 3 4 5 6 7 8 9
1 300 0 0 0 7 0 0 0 3
2 0 280 4 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0
5 5 0 0 0 400 0 0 0 0
6 0 0 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 0
8 0 0 0 0 0 0 0 0 0
9 0 0 0 0 0 0 0 0 0

how can i visualize data using t-SNE?

I'm working with K-means in python3 for educational purpose.
I have a data set of clusters and centroids with multi-dimension.
I need to visualize those data in 2D using t-SNE.
Can anyone help me to do that. (little explanation about the code will be very helpful for me.)
Data set is given below:
Centroids:
[0.0, 0.0, 1.125, 0.5, 0.25, 0.375, 0.125, 0.0, 0.75, 0.0, 0.0, 0.0, 0.0, 1.5, 0.5, 0.125, 0.0, 0.75, 0.25, 0.0, 1.75, 0.0, 0.0, 1.125, 0.125, 0.625, 0.25, 0.0, 0.25, 0.0, 0.625, 0.75, 0.0, 0.0, 0.625, 0.0, 0.75, 0.0, 0.625, 0.0, 0.0, 1.375, 0.625, 0.0, 1.0, 1.25, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.25, 0.625, 0.875, 0.0, 0.75, 1.25, 1.5, 0.0, 0.0]
[1.6666666666666667, 1.5833333333333333, 0.4166666666666667, 0.16666666666666666, 0.16666666666666666, 0.08333333333333333, 0.08333333333333333, 0.0, 0.08333333333333333, 0.16666666666666666, 0.0, 0.0, 0.0, 1.3333333333333333, 1.0, 0.0, 0.0, 0.0, 0.3333333333333333, 0.0, 0.3333333333333333, 0.0, 0.08333333333333333, 0.08333333333333333, 0.16666666666666666, 0.0, 0.0, 0.25, 0.0, 0.0, 0.16666666666666666, 0.0, 0.0, 0.0, 1.1666666666666667, 1.1666666666666667, 0.0, 0.0, 0.0, 0.16666666666666666, 0.0, 0.0, 0.9166666666666666, 0.0, 0.0, 0.16666666666666666, 0.0, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.16666666666666666, 0.25, 0.0, 0.4166666666666667, 0.75, 0.4166666666666667, 0.0, 0.0]
[0.0, 0.0, 0.16666666666666666, 0.6666666666666666, 0.16666666666666666, 1.6666666666666667, 1.6111111111111112, 0.2222222222222222, 0.5, 0.0, 0.05555555555555555, 1.2222222222222223, 0.5555555555555556, 0.0, 0.0, 0.1111111111111111, 0.05555555555555555, 0.0, 0.6666666666666666, 0.0, 0.6111111111111112, 0.0, 0.4444444444444444, 0.3333333333333333, 0.5, 0.0, 0.0, 0.05555555555555555, 0.0, 0.0, 0.05555555555555555, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05555555555555555, 0.7222222222222222, 0.0, 0.0, 1.2777777777777777, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9444444444444444, 0.05555555555555555, 0.3888888888888889, 0.0, 0.3888888888888889, 0.5, 0.4444444444444444, 0.3333333333333333, 0.0]
[0.06976744186046512, 0.13953488372093023, 0.13953488372093023, 0.627906976744186, 0.11627906976744186, 0.37209302325581395, 0.18604651162790697, 0.023255813953488372, 0.0, 0.0, 0.0, 0.27906976744186046, 0.13953488372093023, 0.20930232558139536, 0.11627906976744186, 0.13953488372093023, 0.06976744186046512, 0.09302325581395349, 0.18604651162790697, 0.023255813953488372, 0.8372093023255814, 0.13953488372093023, 0.11627906976744186, 0.27906976744186046, 0.06976744186046512, 0.023255813953488372, 0.18604651162790697, 0.046511627906976744, 0.0, 0.0, 0.046511627906976744, 0.11627906976744186, 0.06976744186046512, 0.18604651162790697, 0.046511627906976744, 0.023255813953488372, 0.023255813953488372, 0.06976744186046512, 0.09302325581395349, 0.06976744186046512, 0.13953488372093023, 0.023255813953488372, 0.2558139534883721, 0.023255813953488372, 0.18604651162790697, 0.2558139534883721, 0.0, 0.23255813953488372, 0.18604651162790697, 0.023255813953488372, 0.06976744186046512, 0.11627906976744186, 0.0, 0.06976744186046512, 0.046511627906976744, 0.3023255813953488, 0.046511627906976744, 0.23255813953488372, 0.2558139534883721, 0.3023255813953488, 0.0, 0.09302325581395349]
[0.0, 0.0, 0.5, 0.0, 1.5, 0.25, 0.0, 2.5, 1.75, 0.75, 1.0, 0.0, 0.0, 1.0, 0.0, 0.25, 1.5, 0.0, 0.5, 0.0, 0.0, 0.0, 0.0, 1.25, 0.5, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.0, 0.75, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.25, 0.0, 0.5, 0.25, 0.0, 0.0, 0.0, 1.5, 0.0, 0.0, 0.0, 0.5, 0.0, 0.0, 0.0, 0.5, 1.0, 0.0, 0.0, 0.0]
Clusters:
cluster_01 :>
[0 0 1 0 1 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 2 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 2 1 0 0 0 0 0 2 0 0 0 0 0 1 2 0 0 0]
[0 0 1 0 1 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 2 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 2 1 0 0 0 0 0 2 0 0 0 0 0 1 2 0 0 0]
[0 0 0 2 0 1 0 0 1 0 0 0 0 1 2 0 0 0 0 0 0 0 0 1 0 3 1 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 2 3 0 0 0 2 0 0]
[0 0 0 2 0 1 0 0 1 0 0 0 0 1 2 0 0 0 0 0 0 0 0 1 1 2 1 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 2 2 0 0 0 2 0 0]
[0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 2 1 0 2 0 0 0 0 0 0 1 0 1 0 0 0 1 2 3 0 0]
[0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 2 1 0 2 0 0 0 0 0 0 2 0 1 0 0 0 1 2 2 0 0]
[0 0 1 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 2 0 3 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 2 0 0 0 0 0 1 0 0 1 0 0 1 2 1 0 0]
[0 0 2 0 0 1 1 0 0 0 0 0 0 0 0 1 0 2 0 0 3 0 0 1 0 0 0 0 0 0 1 2 0 0 0 0 2 0 1 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 1 0 2 0 0]
cluster_02 :>
[1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[2 2 0 0 1 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 2 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0]
[1 2 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 1 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0]
[2 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 2 0 0 0]
[2 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 2 0 0 0]
[0 3 2 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 2 0 0]
[3 2 2 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 2 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 2 2 0 0]
[3 3 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 2 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[2 1 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[2 1 0 1 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[2 1 0 1 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
cluster_03 :>
[0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 2 0 2 1 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0]
[0 0 0 0 0 2 0 2 1 0 0 2 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0]
[0 0 0 2 0 1 2 0 1 0 1 0 0 0 0 1 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 1 0 2 0 1 0 0 0 0]
[0 0 0 2 0 1 2 0 1 0 0 0 1 0 0 1 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 1 0 2 0 1 0 0 0 0]
[0 0 0 0 0 2 1 1 0 0 0 2 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 1 0]
[0 0 0 0 0 2 1 1 0 0 0 2 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 1 0]
[0 0 1 0 0 2 1 0 1 0 0 2 1 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 1 0 1 0 0 1 2 0 0]
[0 0 1 0 0 1 1 0 1 0 0 2 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 2 0 0]
[0 0 0 2 1 2 3 0 1 0 0 1 0 0 0 0 0 0 3 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 2 1 2 2 0 1 0 0 1 0 0 0 0 0 0 2 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 2 1 0 0 0 0 2 0 0 0 0 0 0 0 0 3 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 0 0]
[0 0 0 0 1 1 3 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 1 0 0 0 2 1 0 0 0]
[0 0 1 0 0 2 1 0 1 0 0 3 2 0 0 0 0 0 1 0 1 0 2 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 1 1 0 0 2 2 2 0 0]
[0 0 0 0 0 2 2 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 2 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0]
[0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0]
cluster_04 :>
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[1 0 0 3 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 1 1 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 3 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0]
[0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 2 0 0 0 0 0 0 1 0 0 1 2 0 0]
[0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 2 0 0 0 0 0 0 1 0 0 1 1 0 0]
[0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 1 2 0 1 1 0 0 0]
[0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 1 2 0 1 1 0 0 0]
[0 0 0 2 0 0 3 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0]
[0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0]
[0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 1 0 0 0 2 0 0 0 0 2 2 0 0 0 0 0 1 0 0 1 0 0 0 0 2 0 0 1 0 0 0 0 2 0 1 1 1 0 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 2 0 0 0 0 0 0 0 0 2 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0]
[0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 2 2 0 0 0 0 0 0 0 0 1 0 2 0 0]
[0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 2 0 0]
[0 1 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0]
[0 0 0 0 1 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 1 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0]
[0 0 0 0 1 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0]
[0 0 0 0 1 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
cluster_05 :>
[0 0 0 0 1 0 0 2 2 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 1 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0]
[0 0 0 0 0 0 0 2 2 0 2 0 0 1 0 0 2 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]
[0 0 2 0 3 0 0 3 2 0 2 0 0 1 0 0 2 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 1 0 0 0]
[0 0 0 0 2 1 0 3 1 2 0 0 0 2 0 1 2 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0]

You can use sklearn's TSNE.fit_transform() on all the data points and receive them in new reduced dimensions.
from sklearn.manifold import TSNE
all_nodes = clus1 + clus2 + clus3 + clus4 + clus5 + centroids
result = TSNE(n_components=2, learning_rate=100, early_exaggeration=50).fit_transform(all_nodes)
To get the same plot:
import seaborn as sns
import pandas as pd
X = {
'x': result[:,0],
'y': result[:,1],
'col' : ['clus1'] * len(clus1) + ['clus2'] * len(clus2) + ['clus3'] * len(clus3) + ['clus4'] * len(clus4) + ['clus5'] * len(clus5) + ['centroids'] * len(centroids),
}
data = pd.DataFrame(data=X)
sns.set(style="white", color_codes=True)
sns.lmplot( x="x", y="y", data=data, fit_reg=False, hue='col',
markers=['o', 'o', 'o', 'o', 'o', 'x'])
You can adjust the parameters to the TSNE yourself. You can find all parameters here.
UPDATE
If you want to plot the graph in matplotlib I've quickly put together this code:
group_sizes = [len(arr) for arr in [clus1, clus2, clus3, clus4, clus5]]
colors = ['red', 'blue', 'green', 'purple', 'orange']
start_pos = 0
for idx, (pos, col) in enumerate(zip(group_sizes, colors)):
plt.scatter(X['x'][start_pos:start_pos+pos], X['y'][start_pos:start_pos+pos], c=col, marker='o', label='Cluster {}'.format(idx+1))
start_pos += pos
plt.scatter(X['x'][-5:], X['y'][-5:], c='black', marker='x', label='Centroids')
_ = plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)
which outputs

Develop Reference

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