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Added awkward.frompandas() for intuitive DataFrame -> Tables conversion #219

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Added awkward.frompandas() for intuitive DataFrame -> Tables conversion #219

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4 changes: 2 additions & 2 deletions awkward/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,11 +26,11 @@ def concatenate(arrays, axis=0):
from awkward.persist import serialize, deserialize, save, load, hdf5

from awkward.arrow import toarrow, fromarrow, toparquet, fromparquet
from awkward.util import topandas
from awkward.util import frompandas, topandas

# convenient access to the version number
from awkward.version import __version__

__all__ = ["numpy", "AwkwardArray", "ChunkedArray", "AppendableArray", "IndexedArray", "SparseArray", "JaggedArray", "MaskedArray", "BitMaskedArray", "IndexedMaskedArray", "Methods", "ObjectArray", "Table", "UnionArray", "VirtualArray", "StringArray", "fromiter", "serialize", "deserialize", "save", "load", "hdf5", "toarrow", "fromarrow", "toparquet", "fromparquet", "topandas", "__version__"]
__all__ = ["numpy", "AwkwardArray", "ChunkedArray", "AppendableArray", "IndexedArray", "SparseArray", "JaggedArray", "MaskedArray", "BitMaskedArray", "IndexedMaskedArray", "Methods", "ObjectArray", "Table", "UnionArray", "VirtualArray", "StringArray", "fromiter", "serialize", "deserialize", "save", "load", "hdf5", "toarrow", "fromarrow", "toparquet", "fromparquet", "frompandas", "topandas", "__version__"]

__path__ = __import__("pkgutil").extend_path(__path__, __name__)
15 changes: 14 additions & 1 deletion awkward/util.py
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Expand Up @@ -208,7 +208,20 @@ class NDArrayOperatorsMixin(object):
__abs__ = _unary_method(um.absolute, 'abs')
__invert__ = _unary_method(um.invert, 'invert')

################################################################ conversion of arrays to Pandas
################################################################ conversion of arrays from/to Pandas


def frompandas(dataframe):
"""Converts a Pandas DataFrame to an Awkward Table

:param dataframe: Pandas DataFrame
:return: awkward.Table
"""

import awkward.array.table

return awkward.Table({name: dataframe[name].values for name in dataframe.columns})


def topandas(array, flatten=False):
import pandas
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