Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

History

15 Commits

Repository files navigation

data_hacks

Command line utilities for data analysis

Installing: pip install data_hacks

Installing from github pip install -e git://github.com/bitly/data_hacks.git#egg=data_hacks

Installing from source python setup.py install

data_hacks are friendly. Ask them for usage information with --help

histogram.py

A utility that parses input data points and outputs a text histogram

Example:

$ cat /tmp/data | histogram.py
# NumSamples = 29; Max = 10.00; Min = 1.00
# Mean = 4.379310; Variance = 5.131986; SD = 2.265389
# each * represents a count of 1
1.0000 - 1.9000 [ 1]: *
1.9000 - 2.8000 [ 5]: *****
2.8000 - 3.7000 [ 8]: ********
3.7000 - 4.6000 [ 3]: ***
4.6000 - 5.5000 [ 4]: ****
5.5000 - 6.4000 [ 2]: **
6.4000 - 7.3000 [ 3]: ***
7.3000 - 8.2000 [ 1]: *
8.2000 - 9.1000 [ 1]: *
9.1000 - 10.0000 [ 1]: *

ninety_five_percent.py

A utility script that takes a stream of decimal values and outputs the 95% time.

This is useful for finding the 95% response time from access logs.

Example (assuming response time is the last column in your access log):

$ cat access.log | awk '{print $NF}' | ninety_five_percent.py

sample.py

Filter a stream to a random sub-sample of the stream

Example:

$ cat access.log | sample.py 10% | post_process.py

run_for.py

Pass through data for a specified amount of time

Example:

$ tail -f access.log | run_for.py 10s | post_process.py

bar_chart.py

Generate an ascii bar chart for input data (this is like a visualization of uniq -c)

$ cat data | bar_chart.py --sort-keys
# each * represents a count of 2
19:0 [ 1] 19:1 [ 24] ************
19:2 [ 3] *
19:3 [ 9] ****
19:4 [ 5] **
19:5 [ 41] ********************
20:0 [ 115] *********************************************************
20:1 [ 181] ******************************************************************************************
20:2 [ 136] ********************************************************************
20:3 [ 155] *****************************************************************************
20:4 [ 150] ***************************************************************************
20:5 [ 79] ***************************************
21:0 [ 64] ********************************
21:1 [ 8] ****

About

Command line utilities for data analysis

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages