Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://docs.dask.org/en/latest/generated/dask.array.Array.to_dask_dataframe.html below:

dask.array.Array.to_dask_dataframe — Dask documentation

Array.to_dask_dataframe(columns=None, index=None, meta=None)[source]¶

Convert dask Array to dask Dataframe

Parameters

columns: list or string

list of column names if DataFrame, single string if Series

indexdask.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 divisions 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.

metaobject, optional

An optional 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.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4