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consolidated the duplicate definitions of NA values (in parsers & IO) #16589

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Jun 13, 2017
Merged

consolidated the duplicate definitions of NA values (in parsers & IO) #16589

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bc6752a
consolidated the duplicate definitions of NA values (in parsers & IO)
OlegShteynbuk Jun 3, 2017
0650da0
consolidated the duplicate definitions of NA values in parsers.pyx
OlegShteynbuk Jun 3, 2017
b0c1d4d
added blank lines - E302 expected 2 blank lines, found 1 in parsers.pyx
OlegShteynbuk Jun 3, 2017
1f0a350
added pesky blank lines - E302 expected 2 blank lines, found 1 in par…
OlegShteynbuk Jun 3, 2017
0579460
added pesky blank lines - E302 expected 2 blank lines, found 1 in par…
OlegShteynbuk Jun 3, 2017
6225c7c
changed to using existing function _ensure_encoded in parsers.pyx
OlegShteynbuk Jun 5, 2017
a7e7f01
reverted na_values.py back to using assert
OlegShteynbuk Jun 5, 2017
dc9a368
fixing typo
OlegShteynbuk Jun 5, 2017
e8f6e82
convert set to list
OlegShteynbuk Jun 5, 2017
5770506
put definition before reference
OlegShteynbuk Jun 5, 2017
5fa829e
import _NA_VALUES from common instead of parsers, make import explicit
OlegShteynbuk Jun 5, 2017
c499448
in import replace common with com
OlegShteynbuk Jun 5, 2017
03a335b
remove duplicate na values in in io.rst
OlegShteynbuk Jun 7, 2017
10cba2c
improved text related to na values in io.rst file
OlegShteynbuk Jun 9, 2017
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15 changes: 8 additions & 7 deletions doc/source/io.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -225,9 +225,9 @@ NA and Missing Data Handling

na_values : scalar, str, list-like, or dict, default ``None``
Additional strings to recognize as NA/NaN. If dict passed, specific per-column
NA values. By default the following values are interpreted as NaN:
``'-1.#IND', '1.#QNAN', '1.#IND', '-1.#QNAN', '#N/A N/A', '#N/A', 'N/A', 'n/a', 'NA',
'#NA', 'NULL', 'null', 'NaN', '-NaN', 'nan', '-nan', ''``.
NA values. See :ref:`na values const <io.navaluesconst>` below
for a list of the values interpreted as NaN by default.

keep_default_na : boolean, default ``True``
If na_values are specified and keep_default_na is ``False`` the default NaN
values are overridden, otherwise they're appended to.
Expand Down Expand Up @@ -1030,10 +1030,11 @@ the corresponding equivalent values will also imply a missing value (in this cas
``[5.0,5]`` are recognized as ``NaN``.

To completely override the default values that are recognized as missing, specify ``keep_default_na=False``.
The default ``NaN`` recognized values are ``['-1.#IND', '1.#QNAN', '1.#IND', '-1.#QNAN', '#N/A','N/A', 'NA',
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can you build the docs and show a rendering of this page. I think this might generate a build warning (and may not render correctly)

@jorisvandenbossche

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I have build the docs locally before commit, there were warnings, some of them might be related to python 3, i have 2.7.13 on linux ; file doc/source/style.ipynb also was a problem, but the generated html looks ok, can not attach html file to this replay

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the only difference that i can see is a blank line because of the new label, but it might be not at bad thing at all, but i can remove the label and reuse the existing one that is for the heading NA Values, that will be several lines above

'#NA', 'NULL', 'NaN', '-NaN', 'nan', '-nan']``. Although a 0-length string
``''`` is not included in the default ``NaN`` values list, it is still treated
as a missing value.

.. _io.navaluesconst:

The default ``NaN`` recognized values are ``['-1.#IND', '1.#QNAN', '1.#IND', '-1.#QNAN', '#N/A N/A', '#N/A', 'N/A',
'n/a', 'NA', '#NA', 'NULL', 'null', 'NaN', '-NaN', 'nan', '-nan', '']``.

.. code-block:: python

Expand Down
15 changes: 8 additions & 7 deletions pandas/_libs/parsers.pyx
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Expand Up @@ -50,6 +50,8 @@ from pandas.core.algorithms import take_1d
from pandas.core.dtypes.concat import union_categoricals
from pandas import Index

import pandas.io.common as com

import time
import os

Expand Down Expand Up @@ -273,13 +275,6 @@ cdef extern from "parser/io.h":

DEFAULT_CHUNKSIZE = 256 * 1024

# common NA values
# no longer excluding inf representations
# '1.#INF','-1.#INF', '1.#INF000000',
_NA_VALUES = [b'-1.#IND', b'1.#QNAN', b'1.#IND', b'-1.#QNAN',
b'#N/A N/A', b'n/a', b'NA', b'#NA', b'NULL', b'null', b'NaN',
b'nan', b'']


cdef class TextReader:
"""
Expand Down Expand Up @@ -1380,6 +1375,12 @@ cdef asbytes(object o):
return str(o)


# common NA values
# no longer excluding inf representations
# '1.#INF','-1.#INF', '1.#INF000000',
_NA_VALUES = _ensure_encoded(list(com._NA_VALUES))


def _is_file_like(obj):
if PY3:
import io
Expand Down
4 changes: 2 additions & 2 deletions pandas/tests/io/parser/na_values.py
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Expand Up @@ -8,7 +8,7 @@
import numpy as np
from numpy import nan

import pandas.io.parsers as parsers
import pandas.io.common as com
import pandas.util.testing as tm

from pandas import DataFrame, Index, MultiIndex
Expand Down Expand Up @@ -72,7 +72,7 @@ def test_default_na_values(self):
_NA_VALUES = set(['-1.#IND', '1.#QNAN', '1.#IND', '-1.#QNAN',
'#N/A', 'N/A', 'n/a', 'NA', '#NA', 'NULL', 'null',
'NaN', 'nan', '-NaN', '-nan', '#N/A N/A', ''])
assert _NA_VALUES == parsers._NA_VALUES
assert _NA_VALUES == com._NA_VALUES
nv = len(_NA_VALUES)

def f(i, v):
Expand Down