Major refactor of library oriented around extending Pandas DataFrame rather than implementing a Styler
class.
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Cleaned up internal aggregation API
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Fixed bugs around formatters
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Added functionality to put data back to
DataFrame
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Better interoperability with Pandas style API
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Safer fluent API (now adjustments only modify a copy)
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Updated documentation
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Removed CSS/styling components
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Removed Pandas Styler internals
Between Pandas Style API and Jupyter Notebook default styling for tables Pandas has good defaults and the ability to easily customize the look and feel of DataFrames. Because of that I've removed the styling components from the library and users should use DataFrame.style
from this point on.