dask 2021.10.0

Parameters

Parameters

name : str

Name to use for the constructed layer.

columns : str, list or None

Field name(s) to read in as columns in the output.

inputs : list[tuple]

List of arguments to be passed to io_func so that the materialized task to produce partition i will be: (<io_func>, inputs[i]) . Note that each element of inputs is typically a tuple of arguments.

io_func : callable

A callable function that takes in a single tuple of arguments, and outputs a DataFrame partition.

label : str (optional)

String to use as a prefix in the place-holder collection name. If nothing is specified (default), "subset-" will be used.

produces_tasks : bool (optional)

Whether one or more elements of :None:None:`inputs` is expected to contain a nested task. This argument in only used for serialization purposes, and will be deprecated in the future. Default is False.

annotations: dict (optional) :

Layer annotations to pass through to Blockwise.

DataFrame-based Blockwise Layer with IO

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /dask/layers.py#1150
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