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ENH: simple patch for read_json compression #16750

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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.21.0.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ New features
<https://www.python.org/dev/peps/pep-0519/>`_ on most readers and writers (:issue:`13823`)
- Added ``__fspath__`` method to :class:`~pandas.HDFStore`, :class:`~pandas.ExcelFile`,
and :class:`~pandas.ExcelWriter` to work properly with the file system path protocol (:issue:`13823`)
- The ``read_json`` method now supports a ``compression`` keyword, which allows you to read compressed json directly. The behavior of this is identical to the ``read_csv`` keyword and defaults to ``infer``. (:issue:`15644`)
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needs a new doc section in io.json (again see how the io.pickle compression section is done).


.. _whatsnew_0210.enhancements.other:

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19 changes: 14 additions & 5 deletions pandas/io/json/json.py
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Expand Up @@ -8,7 +8,7 @@
from pandas import compat, isnull
from pandas import Series, DataFrame, to_datetime, MultiIndex
from pandas.io.common import (get_filepath_or_buffer, _get_handle,
_stringify_path)
_stringify_path, _infer_compression)
from pandas.core.common import AbstractMethodError
from pandas.io.formats.printing import pprint_thing
from .normalize import _convert_to_line_delimits
Expand Down Expand Up @@ -174,7 +174,7 @@ def write(self):
def read_json(path_or_buf=None, orient=None, typ='frame', dtype=True,
convert_axes=True, convert_dates=True, keep_default_dates=True,
numpy=False, precise_float=False, date_unit=None, encoding=None,
lines=False):
lines=False, compression='infer'):
"""
Convert a JSON string to pandas object

Expand Down Expand Up @@ -258,6 +258,13 @@ def read_json(path_or_buf=None, orient=None, typ='frame', dtype=True,

.. versionadded:: 0.19.0

compression : {'infer', 'gzip', 'bz2', 'zip', 'xz', None}, default 'infer'
For on-the-fly decompression of on-disk data. If 'infer', then use gzip,
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needs version added. also needs to be indendted as this won't render I think.

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see pd.read_pickle doc-string as well.

bz2, zip or xz if filepath_or_buffer is a string ending in '.gz', '.bz2',
'.zip', or 'xz', respectively, and no decompression otherwise. If using
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Missing a . Before xz

'zip', the ZIP file must contain only one data file to be read in.
Set to None for no decompression.

encoding : str, default is 'utf-8'
The encoding to use to decode py3 bytes.

Expand Down Expand Up @@ -319,9 +326,10 @@ def read_json(path_or_buf=None, orient=None, typ='frame', dtype=True,
"data": [{"index": "row 1", "col 1": "a", "col 2": "b"},
{"index": "row 2", "col 1": "c", "col 2": "d"}]}'
"""
compression = _infer_compression(path_or_buf, compression)
filepath_or_buffer, _, compression = get_filepath_or_buffer(
path_or_buf, encoding=encoding, compression=compression)

filepath_or_buffer, _, _ = get_filepath_or_buffer(path_or_buf,
encoding=encoding)
if isinstance(filepath_or_buffer, compat.string_types):
try:
exists = os.path.exists(filepath_or_buffer)
Expand All @@ -333,7 +341,8 @@ def read_json(path_or_buf=None, orient=None, typ='frame', dtype=True,

if exists:
fh, handles = _get_handle(filepath_or_buffer, 'r',
encoding=encoding)
encoding=encoding,
compression=compression)
json = fh.read()
fh.close()
else:
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