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Create plots quickly

Project description


DataViz helps you to create plots quickly. You declare what information (the data source) to display and how to display it (the plot type and style). DataViz tries to be as close as possible to the Vega-Lite visualization grammar. Available backends for plotting are matplotlib and bokeh.


Install via pip:

$ pip install dataviz


To display a plot in Jupyter notebook:

import dataviz as dv

spec = {
    "width": 600,
    "height": 300,

    "data": {
        "values": [
            {"time": "2021-01-01", "value": 28},
            {"time": "2021-01-02", "value": 55},
            {"time": "2021-01-03", "value": 43},
            {"time": "2021-01-04", "value": 91},
            {"time": "2021-01-05", "value": 81},
            {"time": "2021-01-06", "value": 53},
    "mark": "line",
    "encoding": {
        "x": {"field": "time", "type": "temporal"},
        "y": {"field": "value", "type": "quantitative"},
        "color": {"value": "red"},

fig = dv.figure(spec, 'matplotlib')

This will produce the following plot:


To learn more on how to successfully contribute please read the contributing information in the LibreCube guidelines.


If you are having issues, please let us know. Reach us at Matrix or via Email.


The project is licensed under the MIT license. See the LICENSE file for details.

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