Built-in datasets

plotjs has a few datasets that you can load easily:

• iris
• mtcars
• titanic

plotjs.data.load_iris(output_format='pandas')

Load the iris dataset.

Parameters:

Name	Type	Description	Default
output_format	str	The output format of the dataframe. Note that, for example, if you set output_format="polars", you must have polars installed. Must be one of the following: "pandas", "polars", "pyarrow", "modin", "cudf". Default to "pandas".	'pandas'

Returns:

Type	Description
Frame	The iris dataset.

Examples:

from plotjs import data

df = data.load_iris()

from plotjs import data

df = data.load_iris("polars")

from plotjs import data

df = data.load_iris("pyarrow")

plotjs.data.load_mtcars(output_format='pandas')

Load the mtcars dataset.

Parameters:

Name	Type	Description	Default
output_format	str	The output format of the dataframe. Note that, for example, if you set output_format="polars", you must have polars installed. Must be one of the following: "pandas", "polars", "pyarrow", "modin", "cudf". Default to "pandas".	'pandas'

Returns:

Type	Description
Frame	The mtcars dataset.

Examples:

from plotjs import data

df = data.load_mtcars()

from plotjs import data

df = data.load_mtcars("polars")

from plotjs import data

df = data.load_mtcars("pyarrow")

plotjs.data.load_titanic(output_format='pandas')

Load the titanic dataset.

Parameters:

Name	Type	Description	Default
output_format	str	The output format of the dataframe. Note that, for example, if you set output_format="polars", you must have polars installed. Must be one of the following: "pandas", "polars", "pyarrow", "modin", "cudf". Default to "pandas".	'pandas'

Returns:

Type	Description
Frame	The titanic dataset.

Examples:

from plotjs import data

df = data.load_titanic()

from plotjs import data

df = data.load_titanic("polars")

from plotjs import data

df = data.load_titanic("pyarrow")