pd.plot

Layer for view compositions such as "layer", "concat, "hconcat" and "vconcat".

Layer for view compositions such as "layer", "concat, "hconcat" and "vconcat".

Plotting engine based on Vega-Lite (https://vega.github.io/vega-lite/). Required DataFrame columns are automatically encoded and embedded.

The syntax keeps 1:1 to the Vega-Lite JSON grammar https://vega.github.io/vega-lite/docs/ with a few adaptions:

• Top level specifications are added via methods (e.g. .title(...)).
• The mark definition is on top level (e.g. .bar(...)) rather than part of a mark definition.
• The encoding channel definitions are on top level (e.g. .color(...)) rather than part of encoding.

Top level definitions usually contain named parameters with following data types:

• Number (Int, Float, Double),
• String,
• Struct, a complex struct-like object with one or more properties (of any type listed here),
• Seq[T], a sequence (list) where the inner type T is one of the types above,
• null.

Due to the reserved keyword type in Scala the following parameter name replacements were made:

• Please use as where the JSON element is named type (e.g. in encodings and projection).
• Please use set where the JSON element is named as (e.g. in transform).

Plotting engine based on Vega-Lite.

Dynamical data structure represented in JSON format.

Dynamical data structure represented in JSON format.

Qualifier for nominal data, also known as categorical data, differentiates between values based only on their names or categories.

Qualifier for ordinal data represents ranked order (1st, 2nd, etc.) by which the data can be sorted.

Qualifier for quantitative data expresses some kind of quantity, typically numerical data.

Qualifier for temporal data supports date-times and times.