| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/io/parser/ |
| H A D | test_na_values.py | 227 dict(na_values={"A": [], "C": []}, keep_default_na=False),
237 dict(na_values=["a"], keep_default_na=False),
288 result = parser.read_csv(StringIO(data), keep_default_na=False)
305 StringIO(data), na_values={"b": ["2"]}, keep_default_na=False
317 df = parser.read_csv(StringIO(data), na_values={"b": 2}, keep_default_na=False)
345 keep_default_na=False,
468 result = parser.read_csv(StringIO(data), index_col=0, keep_default_na=False)
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| /dports/biology/py-scikit-bio/scikit-bio-0.5.6/skbio/io/format/ |
| H A D | _blast.py | 34 header=None, keep_default_na=False,
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| /dports/math/py-pandas/pandas-1.2.5/pandas/io/ |
| H A D | parsers.py | 565 keep_default_na=True,
645 keep_default_na=True,
1010 keep_default_na = options["keep_default_na"]
1291 self.keep_default_na = kwds.get("keep_default_na", True)
1670 c, na_values, na_fvalues, self.keep_default_na
3407 def _clean_na_values(na_values, keep_default_na=True): argument
3410 if keep_default_na:
3429 if keep_default_na:
3443 if keep_default_na:
3573 def _get_na_values(col, na_values, na_fvalues, keep_default_na): argument
[all …]
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| H A D | html.py | 939 keep_default_na: bool = True,
1099 keep_default_na=keep_default_na,
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| /dports/math/py-pandas/pandas-1.2.5/pandas/io/excel/ |
| H A D | _base.py | 320 keep_default_na=True, argument
358 keep_default_na=keep_default_na,
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/io/excel/ |
| H A D | test_readers.py | 1075 excel, sheet_name="Sheet1", keep_default_na=False, na_values=["apple"]
1084 excel, sheet_name="Sheet1", keep_default_na=True, na_values=["apple"]
1094 excel, sheet_name="Sheet1", keep_default_na=False, na_values=["apple"]
1103 excel, sheet_name="Sheet1", keep_default_na=True, na_values=["apple"]
1122 keep_default_na=True,
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| /dports/math/py-pandas/pandas-1.2.5/doc/source/whatsnew/ |
| H A D | v0.9.0.rst | 92 ``keep_default_na`` is set to false explicitly (:issue:`1657`)
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| H A D | v0.13.0.rst | 1077 - Fixed passing ``keep_default_na=False`` when ``na_values=None``
|
| H A D | v0.19.0.rst | 509 …html()`` has gained support for the ``na_values``, ``converters``, ``keep_default_na`` options (:…
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| H A D | v0.23.0.rst | 1375 …ead_csv` where missing values were not being handled properly when ``keep_default_na=False`` with …
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/io/ |
| H A D | test_html.py | 1028 html_df = self.read_html(html_data, keep_default_na=False)[0]
1032 html_df = self.read_html(html_data, keep_default_na=True)[0]
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| /dports/math/py-pandas/pandas-1.2.5/pandas/_libs/ |
| H A D | parsers.pyx | 287 bint na_filter, keep_default_na, verbose, has_usecols, has_mi_columns
335 bint keep_default_na=True,
447 self.keep_default_na = keep_default_na
1197 if self.keep_default_na:
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| /dports/math/py-pandas/pandas-1.2.5/doc/source/user_guide/ |
| H A D | io.rst | 211 keep_default_na : boolean, default ``True``
215 * If ``keep_default_na`` is ``True``, and ``na_values`` are specified, ``na_values``
217 * If ``keep_default_na`` is ``True``, and ``na_values`` are not specified, only
219 * If ``keep_default_na`` is ``False``, and ``na_values`` are specified, only
221 * If ``keep_default_na`` is ``False``, and ``na_values`` are not specified, no
224 Note that if ``na_filter`` is passed in as ``False``, the ``keep_default_na`` and
1134 To completely override the default values that are recognized as missing, specify ``keep_default_na…
1153 pd.read_csv("path_to_file.csv", keep_default_na=False, na_values=[""])
1159 pd.read_csv("path_to_file.csv", keep_default_na=False, na_values=["NA", "0"])
2526 dfs = pd.read_html(url, keep_default_na=False)
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| /dports/misc/orange3/orange3-3.29.1/Orange/widgets/data/ |
| H A D | owcsvimport.py | 1561 na_values=na_values, keep_default_na=False,
|