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csvviz 0.4.9.2
csvviz
Create visualizations from CSV files and the command line
Current status
Pretty usable:
$ csvviz bar -x name -y amount examples/tings.csv
$ csvviz line -x date -y price -c company examples/stocks.csv
But undocumented so far, other than running $ csvviz --help
Features
Can do the standard chart types
Produces validated Vega-lite JSON output that can be reused
Free software: MIT license
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
Dev instructions
To install on your own machine for development:
$ make install
Note: setup.py/requirements.txt is not correctly set up yet…
(note to self) To publish on pypi:
$ make release
History
0.4.0-alpha (ongoing)
Can specify var titles with pipe-delimited syntax, e.g. -x 'fieldname|The field name'
0.3.1 (2020-09-30)
Removed (non-existent) Python 3.5 compat, fixed 3.6 & 3.7 compat
Normalized area and bar charts with -N/--normalize
removed ‘-alpha’ tag
0.3.0-alpha (2020-09-28)
New chart types
area
hist (like bar charts, but for frequency count only)
line
scatter, which can act as bubble chart if --sizevar param is set
Grid (i.e. trellis/small multiples)
For any chart type, use -g/--grid to specify variable to map chart multiples
0.2.1-alpha (2020-09-23)
General
Fixed total breakage
0.2.0-alpha (2020-09-23)
General
csvviz --version prints out version
viz options
–theme to set chart theme
–json to output Vegalite chart specification in JSON
–no-preview to not preview chart in browser (useful for testing)
–interactive/–static to show an interactive chart or not (default is ‘static’)
cli.info
a command for general help and listing
Show list of colors, colorschemes, themes, etc
cli.bar
arguments and options
x,y options accept integers (as strings)
–fill/-s
-H/–horizontal for horizontal bars (vertical columns is default)
–colors/-c to set colors
–color-scheme/-C to specify a color scheme
0.1.1-alpha (2020-09-15 16:30)
cli.bar
Minimally functional: $ csvviz bars -x name -y things examples/tings.csv
0.1.0-alpha (2020-09-15)
First release on PyPI. Just a cookiecutter-pypackage skeleton stub.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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