API: Remove set_printoptions/reset_printoptions (:issue:3046)

Author: jreback

doc/source/basics.rst

@@ -983,7 +983,7 @@ Methods like ``replace`` and ``findall`` take regular expressions, too:
    s3.str.replace('^.a|dog', 'XX-XX ', case=False)
 
 The method ``match`` returns the groups in a regular expression in one tuple.
- Starting in pandas version 0.13, the method ``extract`` is available to 
+ Starting in pandas version 0.13, the method ``extract`` is available to
 accomplish this more conveniently.
 
 Extracting a regular expression with one group returns a Series of strings.
@@ -992,16 +992,16 @@ Extracting a regular expression with one group returns a Series of strings.
 
    Series(['a1', 'b2', 'c3']).str.extract('[ab](\d)')
 
-Elements that do not match return ``NaN``. Extracting a regular expression 
+Elements that do not match return ``NaN``. Extracting a regular expression
 with more than one group returns a DataFrame with one column per group.
 
 .. ipython:: python
 
    Series(['a1', 'b2', 'c3']).str.extract('([ab])(\d)')
 
-Elements that do not match return a row of ``NaN``s. 
-Thus, a Series of messy strings can be "converted" into a 
-like-indexed Series or DataFrame of cleaned-up or more useful strings, 
+Elements that do not match return a row of ``NaN``s.
+Thus, a Series of messy strings can be "converted" into a
+like-indexed Series or DataFrame of cleaned-up or more useful strings,
 without necessitating ``get()`` to access tuples or ``re.match`` objects.
 
 Named groups like
@@ -1411,11 +1411,6 @@ Console Output Formatting
 
 .. _basics.console_output:
 
-**Note:** ``set_printoptions``/ ``reset_printoptions``  are now deprecated (but functioning),
-and both, as well as ``set_eng_float_format``, use the options API behind the scenes.
-The corresponding options now live under "print.XYZ", and you can set them directly with
-``get/set_option``.
-
 Use the ``set_eng_float_format`` function in the ``pandas.core.common`` module
 to alter the floating-point formatting of pandas objects to produce a particular
 format.

doc/source/release.rst

@@ -235,6 +235,7 @@ API Changes
     on indexes on non ``Float64Index`` will raise a ``TypeError``, e.g. ``Series(range(5))[3.5:4.5]`` (:issue:`263`)
   - Make Categorical repr nicer (:issue:`4368`)
   - Remove deprecated ``Factor`` (:issue:`3650`)
+  - Remove ``set_printoptions/reset_printoptions`` (:issue:``3046``)
 
 Internal Refactoring
 ~~~~~~~~~~~~~~~~~~~~

pandas/__init__.py

@@ -21,7 +21,6 @@
 # XXX: HACK for NumPy 1.5.1 to suppress warnings
 try:
     np.seterr(all='ignore')
-    # np.set_printoptions(suppress=True)
 except Exception:  # pragma: no cover
     pass
 

pandas/core/api.py

@@ -6,8 +6,7 @@
 from pandas.core.algorithms import factorize, match, unique, value_counts
 from pandas.core.common import isnull, notnull
 from pandas.core.categorical import Categorical
-from pandas.core.format import (set_printoptions, reset_printoptions,
-                                set_eng_float_format)
+from pandas.core.format import set_eng_float_format
 from pandas.core.index import Index, Int64Index, Float64Index, MultiIndex
 
 from pandas.core.series import Series, TimeSeries

pandas/core/format.py

@@ -49,7 +49,7 @@
         multiindex key at each row, default True
     justify : {'left', 'right'}, default None
         Left or right-justify the column labels. If None uses the option from
-        the print configuration (controlled by set_printoptions), 'right' out
+        the print configuration (controlled by set_option), 'right' out
         of the box.
     index_names : bool, optional
         Prints the names of the indexes, default True
@@ -1669,78 +1669,6 @@ def _has_names(index):
 #------------------------------------------------------------------------------
 # Global formatting options
 
-
-def set_printoptions(precision=None, column_space=None, max_rows=None,
-                     max_columns=None, colheader_justify=None,
-                     max_colwidth=None, notebook_repr_html=None,
-                     date_dayfirst=None, date_yearfirst=None,
-                     pprint_nest_depth=None, multi_sparse=None, encoding=None):
-    """
-    Alter default behavior of DataFrame.toString
-
-    precision : int
-        Floating point output precision (number of significant digits). This is
-        only a suggestion
-    column_space : int
-        Default space for DataFrame columns, defaults to 12
-    max_rows : int
-    max_columns : int
-        max_rows and max_columns are used in __repr__() methods to decide if
-        to_string() or info() is used to render an object to a string.
-        Either one, or both can be set to 0 (experimental). Pandas will figure
-        out how big the terminal is and will not display more rows or/and
-        columns that can fit on it.
-    colheader_justify
-    notebook_repr_html : boolean
-        When True (default), IPython notebook will use html representation for
-        pandas objects (if it is available).
-    date_dayfirst : boolean
-        When True, prints and parses dates with the day first, eg 20/01/2005
-    date_yearfirst : boolean
-        When True, prints and parses dates with the year first, eg 2005/01/20
-    pprint_nest_depth : int
-        Defaults to 3.
-        Controls the number of nested levels to process when pretty-printing
-        nested sequences.
-    multi_sparse : boolean
-        Default True, "sparsify" MultiIndex display (don't display repeated
-        elements in outer levels within groups)
-    """
-    import warnings
-    warnings.warn("set_printoptions is deprecated, use set_option instead",
-                  FutureWarning)
-    if precision is not None:
-        set_option("display.precision", precision)
-    if column_space is not None:
-        set_option("display.column_space", column_space)
-    if max_rows is not None:
-        set_option("display.max_rows", max_rows)
-    if max_colwidth is not None:
-        set_option("display.max_colwidth", max_colwidth)
-    if max_columns is not None:
-        set_option("display.max_columns", max_columns)
-    if colheader_justify is not None:
-        set_option("display.colheader_justify", colheader_justify)
-    if notebook_repr_html is not None:
-        set_option("display.notebook_repr_html", notebook_repr_html)
-    if date_dayfirst is not None:
-        set_option("display.date_dayfirst", date_dayfirst)
-    if date_yearfirst is not None:
-        set_option("display.date_yearfirst", date_yearfirst)
-    if pprint_nest_depth is not None:
-        set_option("display.pprint_nest_depth", pprint_nest_depth)
-    if multi_sparse is not None:
-        set_option("display.multi_sparse", multi_sparse)
-    if encoding is not None:
-        set_option("display.encoding", encoding)
-
-
-def reset_printoptions():
-    import warnings
-    warnings.warn("reset_printoptions is deprecated, use reset_option instead",
-                  FutureWarning)
-    reset_option("^display\.")
-
 _initial_defencoding = None
 def detect_console_encoding():
     """

pandas/tests/test_config.py

@@ -437,5 +437,3 @@ def f3(key):
         options.c = 1
         self.assertEqual(len(holder), 1)
 
-# fmt.reset_printoptions and fmt.set_printoptions were altered
-# to use core.config, test_format exercises those paths.