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A simple python lib to print data as ascii histograms
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:Git: Github <https://github.com/kakwa/py-ascii-graph>
_
:PyPI: Package <https://pypi.python.org/pypi/ascii_graph>
_
:Doc: Documentation <http://py-ascii-graph.readthedocs.org>
_
:License: MIT
:Author: Pierre-Francois Carpentier - copyright 2014
py-ascii-graph is released under the MIT License.
py-ascii-graph is a simple python library to build ascii histograms. Just give it a label and a list of tuples (description, value) and it will automaticaly creates a nice histogram, with all the stuff aligned and fitting in a fixed width line (if possible).
py-ascii-graph although comes with a command line utility.
Simple example:
.. sourcecode:: python
from ascii_graph import Pyasciigraph
test = [('long_label', 423), ('sl', 1234), ('line3', 531),
('line4', 200), ('line5', 834)]
graph = Pyasciigraph()
for line in graph.graph('test print', test):
print(line)
Result:
.. sourcecode:: bash
test print
###############################################################################
████████████████████ 423 long_label
█████████████████████████████████████████████████████████████ 1234 sl
██████████████████████████ 531 line3
█████████ 200 line4
█████████████████████████████████████████ 834 line5
Complex examples (colors, different spacing, no label...):
.. sourcecode:: python
from ascii_graph import Pyasciigraph
from ascii_graph.colors import *
from ascii_graph.colordata import vcolor
from ascii_graph.colordata import hcolor
test = [('long_label', 423), ('sl', 1234), ('line3', 531),
('line4', 200), ('line5', 834)]
# One color per line
print('Color example:')
pattern = [Gre, Yel, Red]
data = vcolor(test, pattern)
graph = Pyasciigraph()
for line in graph.graph('vcolor test', data):
print(line)
# Multicolor on one line
print('\nMultiColor example:')
# Color lines according to Thresholds
thresholds = {
51: Gre, 100: Blu, 350: Yel, 500: Red,
}
data = hcolor(test, thresholds)
# graph with colors, power of 1000, different graph symbol,
# float formatting and a few tweaks
graph = Pyasciigraph(
line_length=120,
min_graph_length=50,
separator_length=4,
multivalue=False,
human_readable='si',
graphsymbol='*',
float_format='{0:,.2f}',
force_max_value=2000,
)
for line in graph.graph(label=None, data=data):
print(line)
command line:
.. sourcecode:: bash
$ asciigraph -h
Usage: asciigraph [-l <label>] [-f file] [-s inc|dec] \
[-c] [-t <first color threshold> [-T <second color threshold>] \
[-w <number of char>] [-m <min len of char>] [-H] [-M cs|si]
examples:
printf 'label1:10\nlabel2:100\n' | asciigraph -l 'my graph'
printf 'label1:1000\nlabel2:20000\n' | asciigraph -l 'my graph' -H -M 'si'
printf 'l1:100\nl2:1200.42\n' > ./mf; asciigraph -l 'my graph' -f ./mf
asciigraph -l 'my graph' -f mf -s inc
asciigraph -l 'my graph' -f mf -s dec -w 60 -m 10
asciigraph -l 'my graph' -f mf -c -F '{0:,.2f}'
asciigraph -l 'my graph' -f mf -c -t 5 -T 50
Options:
-h, --help show this help message and exit
-f FILE, --file=FILE import data from FILE (one data per line,
format: <label>:<value>)
-s SORT, --sort=SORT sort type: inc (increasing) or dec (decreasing)
-l LAB, --label=LAB label of the graph
-w WIDTH, --width=WIDTH
width of the graph
-m LEN, --min_graph=LEN
minimum length of the graph bar
-c, --color Color the graph
-t TC1, --threshold-1=TC1
first color threshold, only make sense if --color is
passed
-T TC2, --threshold-2=TC2
second color threshold, only make sense if --color is
passed
-H, --human-readable enable human readable mode (K, M, G, etc)
-M HR_MODE, --human-readable-mode=HR_MODE
Human readable mode ('cs' -> power of 1024 or 'si' ->
power of 1000, default: cs)
-F FORMAT, --float-format=FORMAT
float formatting, ex: {0:,.2f}
See the examples/ directory for more examples.
.. sourcecode:: bash
$ pip install ascii_graph
or
.. sourcecode:: bash
$ easy_install ascii_graph
FAQs
A simple python lib to print data as ascii histograms.
We found that ascii-graph demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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