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Categorical #819

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AlexanderKalistratov merged 13 commits into from
May 26, 2020
Merged

Categorical #819

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2766c31
RewriteReadCsv refactoring
PokhodenkoSA Apr 21, 2020
263594e
Add rewriteutils
PokhodenkoSA May 13, 2020
feaa014
Add CategoricalDtype
PokhodenkoSA Apr 21, 2020
a84d422
Add Categorical
PokhodenkoSA Apr 23, 2020
883ea10
Add sdc.types
PokhodenkoSA Apr 24, 2020
c1ac791
Add Series(dtype='category')
PokhodenkoSA Apr 24, 2020
1a12131
Add Categorical for read_csv()
PokhodenkoSA Apr 24, 2020
e6d9e6e
Remove fallback to pd.read_csv() for categorical
PokhodenkoSA Apr 28, 2020
637ecb2
Use __repr__() in objmode
PokhodenkoSA May 15, 2020
cffc64b
Fix numba imports
PokhodenkoSA May 15, 2020
17bd461
Move imports from __init__ to init and initialize all in sdc.__init__
PokhodenkoSA May 15, 2020
db71a3d
Add docs with categorical limitations.
PokhodenkoSA May 15, 2020
a8113b6
Add example of overloads for categoricals
PokhodenkoSA May 15, 2020
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Add docs with categorical limitations.
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@PokhodenkoSA
PokhodenkoSA committed May 15, 2020
commit db71a3dc7a9633349e0e5dbaf5a7b626e62eed9b
7 changes: 7 additions & 0 deletions sdc/hiframes/pd_series_ext.py
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Expand Up @@ -111,13 +111,20 @@ def pd_series_overload(data=None, index=None, dtype=None, name=None, copy=False,
-----------
- Parameters ``dtype`` and ``copy`` are currently unsupported.
- Types iterable and dict as ``data`` parameter are currently unsupported.
- Categorical types (i.e. 'category' and ``CategoricalDtype``) are supported in ``dtype``
only if they are provided as constants in jitted code.

Examples
--------
Create Series with data [1, 2, 3] and index ['A', 'B', 'C'].

>>> pd.Series([1, 2, 3], ['A', 'B', 'C'])

Create Series with categorical data:

>>> pd.Series([1, 2, 3], dtype='category')
>>> pd.Series([1, 2, 3], dtype=CategoricalDtype([1, 2, 3]))

.. seealso::

:ref:`DataFrame <pandas.DataFrame>`
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