dask 2021.10.0

Parameters
to_dask_dataframe(self, columns=None, index=None, meta=None)

Parameters

columns: list or string :

list of column names if DataFrame, single string if Series

index : dask.dataframe.Index, optional

An optional dask Index to use for the output Series or DataFrame.

The default output index depends on whether the array has any unknown chunks. If there are any unknown chunks, the output has None for all the divisions (one per chunk). If all the chunks are known, a default index with known divsions is created.

Specifying index can be useful if you're conforming a Dask Array to an existing dask Series or DataFrame, and you would like the indices to match.

meta : object, optional

An optional :None:None:`meta` parameter can be passed for dask to specify the concrete dataframe type to use for partitions of the Dask dataframe. By default, pandas DataFrame is used.

Convert dask Array to dask Dataframe

See Also

dask.dataframe.from_dask_array

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/array/core.py#1641
type: <class 'function'>
Commit: