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Data visualization in the terminal

Project Description

Data visualization in the terminal.


From PyPI:

easy_install viz

From source:

git clone
cd viz
python install

The CLI entry point is viz, which should be installed on your PATH.


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 | 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:


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 | head -100 | sed -n 's/.*time=\(.*\) ms/\1/p' | viz points

Example result:

   ▃▃ ▁▃          ▁ ▁▁ ▁    ▁  ▁▁▁▂ ▃▂ ▉▂              ▁ ▁▁      ▁▂▁       ▁  ▁          ▁      ▁

The top line is the maximum, the bottom is the minimum. The other values are scaled linearly between those extremes.


  • numpy


Copyright (c) 2013 Christopher Brown. MIT Licensed.

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Source None Jan 18, 2014

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