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Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite, and the source is available on GitHub. With Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. This elegant ...
Oct 31, 2019 · Altair is developed by Jake Vanderplas and Brian Granger in close collaboration with the UW Interactive Data Lab. Altair Documentation. See Altair's Documentation Site, as well as Altair's Tutorial Notebooks. Example. Here is an example using Altair to quickly visualize and display a dataset with the native Vega-Lite renderer in the JupyterLab:
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Converting Between Long-form and Wide-form: Pandas¶. This sort of data manipulation can be done as a preprocessing step using Pandas, and is discussed in detail in the Reshaping and Pivot Tables section of the Pandas documentation.. For converting wide-form data to the long-form data used by Altair, the melt method of dataframes can be used. The first argument to melt is the column or list of ...
Login; Awesome Python. All Categories. Data Visualization. Altair. VS. matplotlib. altair-viz.github.io Source Code Changelog Declarative statistical visualization library for Python. matplotlib.org Source Code Changelog A Python 2D plotting library. Compare Altair and matplotlib's popularity and activity ...
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Me and my team are big tableau users, so now that we are testing Python vega and altair are the natural approach. I am having my struggles to make altair work on jupyterlab (while ipyvega works so I could start playing), but I think it’s worth the effort.
I like Altair, and have built a couple analyses and products with it. In general, it's a convenient way to do exploratory data analysis. But I have found it to be sort of inflexible for simple variations on common chart types -- especially if you want to augment a chart with information that is not in the dataframe instance used to instantiate the altair.Chart object.
conda install linux-64 v3.3.0; win-32 v1.2.0; noarch v4.0.1; osx-64 v3.3.0; win-64 v3.3.0; To install this package with conda run one of the following: conda install -c conda-forge altair