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Fixed typos and formatting
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docs/source/gpu-dataframes.rst

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Streaming GPU DataFrames(cudf)
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------------------------------
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Streaming GPU DataFrames (cudf)
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-------------------------------
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The ``streamz.dataframe`` module provides DataFrame-like interface on streaming
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data as described in ``dataframes`` documentation. It provides support for dataframe
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like libraries such as pandas and cudf. This documentation is specific to streaming GPU
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dataframes(cudf).
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The ``streamz.dataframe`` module provides a DataFrame-like interface
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on streaming data as described in the ``dataframes`` documentation. It
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provides support for dataframe-like libraries such as pandas and
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cudf. This documentation is specific to streaming GPU dataframes using
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cudf.
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The example in the ``dataframes`` documentation is rewritten below using cudf dataframes
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just by replacing ``pandas`` module with ``cudf``:
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The example in the ``dataframes`` documentation is rewritten below
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using cudf dataframes just by replacing the ``pandas`` module with
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``cudf``:
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.. code-block:: python
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Supported Operations
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--------------------
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Streaming cudf dataframes support the following classes of operations
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Streaming cudf dataframes support the following classes of operations:
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- Elementwise operations like ``df.x + 1``
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- Filtering like ``df[df.name == 'Alice']``
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- Column addition like ``df['z'] = df.x + df.y``
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- Reductions like ``df.amount.mean()``
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- Windowed aggregations (fixed length) like ``df.window(n=100).amount.sum()``
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The following operations are not supported with cudf(as of version 0.8) yet
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The following operations are not yet supported with cudf (as of version 0.8):
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- Groupby-aggregations like ``df.groupby(df.name).amount.mean()``
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- Windowed aggregations (index valued) like ``df.window(value='2h').amount.sum()``
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- Windowed groupby aggregations like ``df.window(value='2h').groupby('name').amount.sum()``
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Window based Aggregations with cudf are supported just as explained in ``dataframes`` documentation.
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The support for groupby operations will be added in future.
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Window-based Aggregations with cudf are supported just as explained in
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the ``dataframes`` documentation. Support for groupby operations is
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expected to be added in the future.

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