Data visualization in the terminal
Project description
Data visualization in the terminal.
Install
From PyPI:
easy_install viz
From source:
git clone https://github.com/chbrown/viz.git cd viz python setup.py install
The CLI entry point is viz, which should be installed on your PATH.
Commands
viz hist
Read floats from stdin and plot as a single line histogram.
Example: ping google every 100ms (0.1s) and plot the first 50 response times you get back:
ping -i 0.1 google.com | head -50 | sed -n 's/.*time=\(.*\) ms/\1/p' | viz hist
Example result (which should fit your terminal width automatically):
26.1390000[▁ ▁▁ ▁▁▂▂ ▉ ▂▂ ▃ ▂▁▂ ▁ ▁▁ ▁ ▁ ]39.5580000
viz total
Read floats from stdin and sum them. No graphics, but useful because awk '{sum+=$1}END{print sum} is too long.
Example: count the bytes used by the current directory and its children.
find . -ls | tr -s ' ' | cut -d ' ' -f 7 | viz total
Example result:
8519086.0
Compare to du:
echo $[$(du -sk . | cut -f 1) * 1024] > 8531968
viz points
Read floats from stdin, plot on a single line from left to right with as much granularity as the terminal will allow. Otherwise, bin incrementally and plot the arithmetic mean of each bin.
Example: ping some really awful website every 100ms, plot the first 100 successful responses (takes about 10s).
ping -i 0.1 godaddy.com | head -100 | sed -n 's/.*time=\(.*\) ms/\1/p' | viz points
Example result:
[+156.298000] ▃▃ ▁▃ ▁ ▁▁ ▁ ▁ ▁▁▁▂ ▃▂ ▉▂ ▁ ▁▁ ▁▂▁ ▁ ▁ ▁ ▁ [+70.593000]
The top line is the maximum, the bottom is the minimum. The other values are scaled linearly between those extremes.
Dependencies:
numpy
License
Copyright (c) 2013 Christopher Brown. MIT Licensed.
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