Plot numerical data found in human readable weakly formatted logfiles.
This program extracts numerical data from arbitrary text files, typically logfiles. It plots the data in a graph which is written to a file in PNG/JPG/PDF format (really anything supported by matplotlib).
Input lines are first optionally filtered with --filter. Each line forms a
data row. Numeric values in each line are extracted using a regex
(--num-regex). The X and Y values of each record are extracted from fixed
columns specified by --xcol and --ycol, respectively. When --xcol is not
specified the row index (the line number in the file after filtering) is used
as X value.
Example: Plotting roundtrip times of ping:
sudo ping example.com -c 1000 -i 0.001 > log.txt
dataplot.py -f time= -x 2 -y 4 -s . log.txt -o log.png
Try adding --sort.
This help message may be outdated. Use dataplot.py --help to get an up-to-date help.
> dataplot.py --help
positional arguments:
FILES Files to process.
optional arguments:
-h, --help show this help message and exit
--version show program's version number and exit
-o F, --outfile F Output image. Default is 'out.png'. PNG, JPG, PDF and
others are supported.
-x N, --xcol N X column. Use -1 for 'index' (if no X column is present
in file).
-y N, --ycol N Y column. Use -vv to figure out column indices of data.
-c C, --colors C Set colors. One character per graph. Try rbyg.
-s S, --shapes S Set dot shapes (try oO.,+x).
-a S, --addstyle S Add additional style to all graphs (use -a - to add
lines).
-f RE, --filter RE Only use lines which match regex RE.
--num-regex RE Regex used to extrat numeric values in line.
--xlog Use logscale for X.
--xdiv N Divide X values by N (float).
--ymax MAX Set Y range to MAX (float).
--ymin MIN Set Y range to MIN (float).
--ylog Use logscale for Y.
--sort Sort Y values. Only makes sense without --xcol.
--hist B Build histogram over data with the specified binsize B.
Try --bar and --alpha 0.5.
--legend POS Set legend position (default "upper left").
--bar Draw filled bars.
--alpha ALPHA Set transparency. Useful for --bar with multiple plots.
--fig-width W Width of output image in inch at 100 dpi.
--fig-height H Height of output image in inch at 100 dpi.
--print-high N Print lines with Y values higher than N.
--print-stats Print statistics of all Y values.
-v, --verbose Be more verbose.
dataplot.py version 0.2.1 *** Copyright (c) 2010-2023 Johannes Overmann ***
https://github.com/jovermann/dataplot
dataplot.py depends on the following:
- Python 3
- Version 0.2.2 tested with Python 2.7.18, 3.8.2, 3.9.10 and 3.11.1.
matplotlibPython module
Usually you can install matplotlib by doing pip3 install matplotlib. On my Mac that failed, because it installed matplotlib for the system Python 3.8, and not for the Python 3.9 on my path which I installed using Mac ports. To install modules for the Python interpreter on your path use the Python interpreter to execute pip:
python3 -m pip install matplotlib
This worked well for me.
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