ENH: Add skipna parameter to infer_dtype #17066

cpcloud · 2017-07-24T16:41:31Z

tests added / passed
passes git diff upstream/master -u -- "*.py" | flake8 --diff
whatsnew entry

gfyoung · 2017-07-24T16:43:31Z

pandas/_libs/src/inference.pyx

    """
    Effeciently infer the type of a passed val, or list-like
    array of values. Return a string describing the type.

    Parameters
    ----------
    value : scalar, list, ndarray, or pandas type
+    skipna : bool


Add default value (i.e. "default False") (and remove it from the description).

Also, should we document that this will change to True (don't need to necessarily deprecate now)?

@cpcloud : Thoughts about my comment regarding the eventual change of default value?

gfyoung · 2017-07-24T16:46:20Z

pandas/_libs/src/inference.pyx

+            for i in range(n):
+                val = objbuf[i]
+                if not util._checknull(val) and not util.is_bool_object(val):
+                    return False


I feel like this logic is refactor-able. It seems very duplicative across all of the functions. Not a big deal, but just an observation ATM.

We could write this as a single for loop, but I don't want to introduce any performance regressions for skipna=False

I'm not sure I follow you here. This loop would only be entered if skipna is True. What I meant is that you could potentially abstract this for-loop into a separate function, which accepts ndarray, n, and a dtype-checker function (e.g. is_bool_object, is_float_object).

Would be more compact but could impact performance, which is why I'm not pushing this so hard but just floating the idea in case there is a good way to do this.

Refactoring the entire set of functions is kind of a can of worms, because the fundamental problem here is that we must assume that arrays contain potentially mixed types or objects, which are really the same thing.

It might be possible to make a Validator class with subclasses for each type that we want to infer, that has a method validate that encapsulates the current loop logic.

Generally agree this needs some TLC.

Refactoring the entire set of functions is kind of a can of worms, because the fundamental problem here is that we must assume that arrays contain potentially mixed types or objects, which are really the same thing.

Yeah, that's fair. I was imagining something like this (very rough):

cpdef check_non_na(ndarray[object] values, <callable> checker): n = len(values) for i in range(n): val = values[i] if not util._checknull(val) and not checker(val): return False return True

I've started working on a refactor, I'll put up a PR if it's viable :)

Sounds good. Makes sense to keep separate from this 😄

gfyoung · 2017-07-24T17:17:27Z

Failures related to pyarrow or feather are unrelated to this PR.

jreback · 2017-07-24T17:57:06Z

actually I am not big on this. This is just a bug fix, we should be ignoring NaN when we have a string,unciode,bytes objects. otherwise.

cpcloud · 2017-07-24T18:29:16Z

@jreback

actually I am not big on this. This is just a bug fix, we should be ignoring NaN when we have a string,unciode,bytes objects. otherwise.

I don't really follow what you're saying here. Can you clarify?

gfyoung · 2017-07-24T18:33:23Z

actually I am not big on this. This is just a bug fix, we should be ignoring NaN when we have a string,unciode,bytes objects. otherwise.

Why is this a bug-fix? The behavior is consistent with what I would expect because there is NaN and other elements in the array-like. I don't see why we should be changing this behavior that drastically.

jreback · 2017-07-24T18:44:24Z

it should mirror what we already do for other types. We automatically skip na's; they don't have an impact on the inference type. In fact that's the entire point of this routine.

In [4]: infer_dtype([pd.Timestamp('20130101'), np.nan])
Out[4]: 'datetime'

In [5]: infer_dtype(['foo', np.nan])
Out[5]: 'mixed'

In [6]: infer_dtype([pd.Timestamp('20130101')])
Out[6]: 'datetime'

In [7]: infer_dtype([pd.Timestamp('20130101'), pd.NaT])
Out[7]: 'datetime'

In [8]: infer_dtype(['foo'])
Out[8]: 'string'

In [9]: infer_dtype(['foo', np.nan])
Out[9]: 'mixed'

cpcloud · 2017-07-24T18:46:14Z

Right. That's where we want to be, but this routine has existed for a very long time with this behavior and I don't think it'd be a great idea to break it right this second. I think @gfyoung had the right idea with 1 or more deprecation cycles before changing the default behavior to skip NA values by default.

jreback · 2017-07-24T18:50:38Z

Right. That's where we want to be, but this routine has existed for a very long time with this behavior and I don't think it'd be a great idea to break it right this second. I think @gfyoung had the right idea with 1 or more deprecation cycles before changing the default behavior to skip NA values by default.

this is broken. I don't really have a problem with adding a skipna, though adds a lot more logic. The problem is these are now different for different dtypes. I don't think easy to reconcile this.

cpcloud · 2017-07-24T18:51:19Z

I don't think easy to reconcile this.

Wait for my refactor, which reconciles them nicely.

gfyoung · 2017-07-24T18:52:19Z

Wait for my refactor, which reconciles them nicely.

I figured there would be a way. 😄

cpcloud · 2017-07-24T20:17:57Z

I'll put up another PR with the refactor, but since it's quite a large refactor and may introduce a perf regression let's leave this one open as well in case the refactor isn't viable from a perf perspective.

gfyoung · 2017-07-24T20:35:47Z

@cpcloud : You could have made a separate commit here and just show asv comparisons between them.

cpcloud · 2017-07-24T20:49:01Z

Indeed. I'll do that. Thanks for the tip!

gfyoung · 2017-07-24T21:06:59Z

@cpcloud : Rebase onto master so that pyarrow tests don't fail anymore

cpcloud · 2017-07-24T21:24:20Z

cool, will do once the benchmarks are finished!

cpcloud · 2017-07-24T22:54:58Z

asv results (top offenders):

    before     after       ratio                                                                                                                                                               
  [c55dbf06] [04003c8d]                                                                                                                                                                        
!  117.73ms     failed       n/a  frame_ctor.FrameConstructorDTIndexFromOffsets.time_frame_ctor('FY5253Quarter_2', 2)                                                                          
+  204.01ms   336.96ms      1.65  inference.to_numeric_downcast.time_downcast('string-nint', 'unsigned')                                                                                       
+  197.91ms   314.76ms      1.59  inference.to_numeric_downcast.time_downcast('string-int', 'integer')                                                                                         
+  189.44ms   298.65ms      1.58  inference.to_numeric_downcast.time_downcast('string-int', None)                                                                                              
+  105.50ms   160.92ms      1.53  packers.packers_read_sas.time_read_sas7bdat                                                                                                                  
+   33.91ms    50.75ms      1.50  groupby.GroupBySuite.time_diff('float', 100)                                                                                                                 
+  213.73ms   305.88ms      1.43  inference.to_numeric_downcast.time_downcast('string-nint', 'signed')                                                                                         
+  196.81ms   276.27ms      1.40  inference.to_numeric_downcast.time_downcast('string-nint', None)

cpcloud · 2017-07-24T22:56:57Z

It's possible that first one is failing because I haven't yet run the entire test suite to make sure I haven't broken anything outside of the inference code.

cpcloud · 2017-07-24T23:02:49Z

Yep, some failing tests :) Fixing them up right now

jreback

looks pretty good. any significant perf diffs?

jreback · 2017-07-24T23:51:23Z

pandas/_libs/src/inference.pyx

+
+    cdef bint is_valid(self, object value) except -1:
+        return self.is_value_typed(value)
+


too bad you can't make these in-line.

I think I might be able to, didn't try. I would also expect the C compiler to be pretty smart here. inline shouldn't have much affect nowadays, since the compiler will ignore it if it's unsafe to do.

jreback · 2017-07-24T23:51:48Z

pandas/_libs/src/inference.pyx

+
+    cdef bint is_value_typed(self, object value) except -1:
+        return util.is_bool_object(value)
+


you can prob make some things inlne here

I'll try inlineing the leaf classes and see if there's any perf benefit.

jreback · 2017-07-24T23:54:05Z

pandas/_libs/src/inference.pyx

    """
    Effeciently infer the type of a passed val, or list-like
    array of values. Return a string describing the type.

    Parameters
    ----------
    value : scalar, list, ndarray, or pandas type
+    skipna : bool, default False
+        Ignore NaN values when inferring the type.


versionadded tag

Minor thing: I would prefer that you still mention that we will change the default to True in the future, even if we don't deprecate now. What do you think?

cpcloud · 2017-07-25T00:02:17Z

Here are the inference benchmarks with latest commit:

    before     after       ratio
  [1d0e6a15] [390aae13]
+  115.00μs   164.03μs      1.43  inference.to_numeric.time_from_str_ignore
+  500.56μs   706.92μs      1.41  inference.DtypeInfer.time_uint32
+  149.24ms   195.31ms      1.31  inference.to_numeric_downcast.time_downcast('string-float', 'float')
+  222.45ms   279.17ms      1.25  inference.to_numeric_downcast.time_downcast('string-int', None)
+  157.01ms   196.73ms      1.25  inference.to_numeric_downcast.time_downcast('string-float', 'integer')
+  196.16ms   244.83ms      1.25  inference.to_numeric_downcast.time_downcast('string-int', 'signed')
+  166.39ms   202.27ms      1.22  inference.to_numeric_downcast.time_downcast('string-float', 'signed')
+   15.05ms    18.08ms      1.20  inference.DtypeInfer.time_datetime64
+  193.79ms   232.27ms      1.20  inference.to_numeric_downcast.time_downcast('string-nint', None)
+  168.74ms   201.07ms      1.19  inference.to_numeric_downcast.time_downcast('string-float', 'unsigned')
+   46.88ms    55.18ms      1.18  inference.to_numeric_downcast.time_downcast('int-list', 'integer')
+    2.69ms     3.16ms      1.17  inference.to_numeric_downcast.time_downcast('datetime64', 'float')
+   27.13ms    31.86ms      1.17  inference.to_numeric_downcast.time_downcast('datetime64', 'signed')
+  169.50ms   194.19ms      1.15  inference.to_numeric_downcast.time_downcast('string-float', None)
+   49.51ms    56.34ms      1.14  inference.to_numeric_downcast.time_downcast('int-list', 'unsigned')
+    1.34ms     1.51ms      1.13  inference.to_numeric_downcast.time_downcast('datetime64', None)
+   36.23ms    40.06ms      1.11  inference.to_numeric_downcast.time_downcast('int-list', 'float')
-   39.59μs    35.49μs      0.90  inference.to_numeric.time_from_float
-  770.33ms   688.99ms      0.89  inference.MaybeConvertNumeric.time_convert
-   19.51ms    17.18ms      0.88  inference.to_numeric.time_from_str_coerce
-    6.96ms     6.05ms      0.87  inference.DtypeInfer.time_int64
-  467.61ms   401.44ms      0.86  inference.to_numeric.time_from_numeric_str

codecov · 2017-07-25T00:37:26Z

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cpcloud · 2017-07-25T02:08:52Z

@jreback @gfyoung No big regressions :)

Here's everything that was worse than 1x upstream/master:

    before     after       ratio                                                                                                                                                               
  [9e6bb42f] [a6d122b9]                                                                                                                                                                        
+  794.88ms      1.13s      1.42  packers.Excel.time_write_excel_openpyxl                                                                                                                      
+    3.80ms     5.03ms      1.33  strings.StringMethods.time_get                               
+  211.56ms   276.62ms      1.31  inference.to_numeric_downcast.time_downcast('string-nint', 'float')
+   16.39ms    21.34ms      1.30  gil.nogil_read_csv.time_read_csv_object                      
+   23.70ms    30.14ms      1.27  binary_ops.Ops.time_frame_mult(True, 'default')                               
+    3.17ms     3.82ms      1.21  strings.StringMethods.time_upper                             
+    4.30ms     5.14ms      1.20  strings.StringMethods.time_rstrip                            
+    6.27ms     7.50ms      1.20  frame_methods.Reindex.time_reindex_upcast                                 
+  164.44ms   193.30ms      1.18  inference.to_numeric_downcast.time_downcast('string-float', 'unsigned')
+    5.56ms     6.48ms      1.17  categoricals.Categoricals.time_union                                      
+    4.09ms     4.71ms      1.15  strings.StringMethods.time_lstrip                            
+    6.23ms     7.17ms      1.15  algorithms.Algorithms.time_add_overflow_pos_arr                                                                                                              
+   28.19ms    32.39ms      1.15  stat_ops.stats_rank_pct_average_old.time_stats_rank_pct_average_old
+  336.85ns   382.73ns      1.14  attrs_caching.DataFrameAttributes.time_get_index                        
+    1.01ms     1.14ms      1.13  join_merge.join_non_unique_equal.time_join_non_unique_equal  
+    4.23ms     4.75ms      1.12  strings.StringMethods.time_strip                                            
+   14.70ms    16.52ms      1.12  binary_ops.Ops2.time_frame_int_mod                                                                                                                           
+     6.83s      7.67s      1.12  gil.nogil_datetime_fields.time_datetime_field_day                 
+   17.80ms    19.91ms      1.12  parser_vb.read_csv1.time_sep                                         
+    2.70ms     3.01ms      1.12  groupby.GroupBySuite.time_size('float', 10000)               
+    3.09ms     3.44ms      1.11  strings.StringMethods.time_contains_many_noregex                                                                                                             
+    2.78ms     3.07ms      1.10  period.Algorithms.time_drop_duplicates_pseries               
+  253.54ms   279.28ms      1.10  inference.to_numeric_downcast.time_downcast('string-nint', 'unsigned')       
+   83.70ms    92.18ms      1.10  eval.Eval.time_mult('numexpr', 'all')                                           
+   21.67ms    23.86ms      1.10  frame_methods.frame_mask_bools.time_frame_mask_bools                
+   15.72ms    17.30ms      1.10  categoricals.Categoricals.time_constructor_regular

gfyoung · 2017-07-25T03:16:14Z

@cpcloud : Nice! Great to see that the refactoring worked out.

jreback

lgtm. must some minor comments.

jreback · 2017-07-25T09:53:55Z

doc/source/whatsnew/v0.21.0.txt

@@ -24,6 +24,8 @@ 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`)
+- Added ``skipna`` parameter :func:`~pandas.api.types.infer_dtype` to support


parameter to :func:....., to support

jreback · 2017-07-25T09:55:33Z

pandas/_libs/src/inference.pyx

@@ -272,6 +277,9 @@ def infer_dtype(object value):
    >>> infer_dtype(['foo', 'bar'])
    'string'

+    >>> infer_dtype(['a', np.nan, 'b'], skipna=True)
+    'string'


can you add same example with skipna=False

jreback · 2017-07-25T09:56:52Z

pandas/_libs/src/inference.pyx

+
+    cdef bint is_valid(self, object value) except -1:
+        return self.is_value_typed(value)
+


jreback · 2017-07-25T09:59:25Z

pandas/_libs/src/inference.pyx


-        if n == 0:
-            return False
+cdef class StringValidator(Validator):


not sure if there is value to making String, Unicode, Bytes inherit from an ABC StringLike (for consistency with the way you did datetime (Temporal) )

or maybe just String/Unicode (as Bytes is a different animal)

I don't think so because there's no code sharing between those three classes here. The child classes of TemporalValidator all share a large amount of validation code and really only differ in the way they check their value types and their nulls. With string-like values they don't share any code that isn't already factored out in Validator.

jreback · 2017-07-25T10:01:14Z

pandas/_libs/src/inference.pyx

+    cdef inline bint is_valid(self, object value) except -1:
+        return self.is_value_typed(value) or self.is_valid_null(value)
+
+    cdef bint is_value_typed(self, object value) except -1:


is_value_typed NI is not needed (as defined in base class)

Ah, good catch. Fixing.

cpcloud · 2017-07-25T13:54:58Z

pandas/_libs/src/inference.pyx

+    cdef inline bint is_array_typed(self) except -1:
+        return (
+            PY2 and issubclass(self.dtype.type, np.string_)
+        ) or not PY2 and issubclass(self.dtype.type, np.unicode_)


Interestingly enough I think isinstance(self.dtype.type, np.str_) does exactly this. I'll give it a shot and see if anything breaks.

cpcloud · 2017-07-25T16:02:22Z

@jreback this is ready to go

cpcloud · 2017-07-25T16:02:59Z

Actually one sec.

gfyoung · 2017-07-25T16:11:13Z

Actually one sec.

I presume you meant to push that change first?

cpcloud · 2017-07-25T16:14:38Z

@gfyoung Yep! Pushed.

gfyoung · 2017-07-25T16:20:13Z

Given that both @jreback and I have approved, and you're ready to merge this, I imagine three approvals from ">= core-committers" makes this merge-able on green 😄

cpcloud · 2017-07-25T16:21:28Z

@gfyoung agree :) Merging on green.

gfyoung · 2017-07-25T17:27:57Z

Thanks @cpcloud !

cpcloud · 2017-07-25T18:23:18Z

@gfyoung @jreback Thanks for the reviews!

@TomAugspurger

* consolidated the duplicate definitions of NA values (in parsers & IO) (pandas-dev#16589) * GH15943 Fixed defaults for compression in HDF5 (pandas-dev#16355) * DOC: add header=None to read_excel docstring (pandas-dev#16689) * TST: Test against python-dateutil master (pandas-dev#16648) * BUG: .iloc[:] and .loc[:] return a copy of the original object pandas-dev#13873 (pandas-dev#16443) closes pandas-dev#13873 * TST: Add test of building frame from named Series and columns (pandas-dev#9232) (pandas-dev#16700) * DOC: fix wrongly placed versionadded (pandas-dev#16702) * DOC: pin sphinx to version 1.5 (pandas-dev#16704) * CI: restore np 113 in ci builds (pandas-dev#16656) * Revert "BLD: fix numpy on 3.6 build as 1.13 was released but no deps are built for it (pandas-dev#16633)" This reverts commit dfebd8a. closes pandas-dev#16634 * BUG: Fix regression for RGB(A) color arguments (pandas-dev#16701) * Add test * Pass tuples that are RGB or RGBA like in list * Update what's new * change whatsnew to reflect regression fix * Add test for RGBA as well * CI: pin jemalloc=4.4.0 (pandas-dev#16727) * MAINT: Drop Categorical.order & sort (pandas-dev#16728) Deprecated back in 0.18.1 xref pandas-devgh-12882 * Fix reading Series with read_hdf (pandas-dev#16610) * Added test to reproduce issue pandas-dev#16583 * Fix pandas-dev#16583 by adding an explicit `mode` argument to `read_hdf` kwargs which are meant for the opening of the HDFStore should be filtered out before passing the remaining kwargs to the `select` function to load the data. * Noted fix for pandas-dev#16583 in WhatsNew * DOC: typo (pandas-dev#16733) * whatsnew v0.21.0.txt typos (pandas-dev#16742) * whatsnew v0.20.3 edits (pandas-dev#16743) * BUG: do not raise UnsortedIndexError if sorting is not required closes pandas-dev#16734 Author: Pietro Battiston <me@pietrobattiston.it> This patch had conflicts when merged, resolved by Committer: Jeff Reback <jeff.reback@twosigma.com> Closes pandas-dev#16736 from toobaz/index_what_you_can and squashes the following commits: f77e2b3 [Pietro Battiston] BUG: do not raise UnsortedIndexError if sorting is not required * DOC: whatsnew typos * Test for pandas-dev#16726. unittest that ensures datetime is understood (pandas-dev#16744) * Test for pandas-dev#16726. unittest that ensures datetime is understood * Corrected the test as suggested by @TomAugspurger * Fixed flake8 errors and warnings * DOC: some rst fixes (pandas-dev#16763) * DOC: Update Sphinx Deprecated Directive (pandas-dev#16512) * MAINT: Drop Index.sym_diff (pandas-dev#16760) Deprecated in 0.18.1 xref pandas-devgh-12591, pandas-devgh-12594 * MAINT: Drop pd.options.display.mpl_style (pandas-dev#16761) Deprecated in 0.18.0 xref pandas-devgh-12190 * DOC: remove section on Panel4D support in HDF io (pandas-dev#16783) * DOC: add section on data validation and library engarde (pandas-dev#16758) * TST: register slow marker (pandas-dev#16797) * TST: register slow marker * Update setup.cfg * BUG: Load data from a CategoricalIndex for dtype comparison, closes #… (pandas-dev#16738) * BUG: Load data from a CategoricalIndex for dtype comparison, closes pandas-dev#16627 * Enable is_dtype_equal on CategoricalIndex, fixed some doc typos, added ordered CategoricalIndex test * Flake8 windows suggestion * Fixed some documentation/formatting issues, clarified the purpose of the test case. * Bug in pd.merge() when merge/join with multiple categorical columns (pandas-dev#16786) closes pandas-dev#16767 * BUG: Fix read of py3 PeriodIndex DataFrame HDF made in py2 (pandas-dev#16781) (pandas-dev#16790) In Python3, reading a DataFrame with a PeriodIndex from an HDF file created in Python2 would incorrectly return a DataFrame with an Int64Index. * BUG: Fix Series doesn't work in pd.astype(). Now treat Series as dict. (pandas-dev#16725) * FIX: Allow aggregate to return dictionaries again pandas-dev#16741 (pandas-dev#16752) * BUG: fix to_latex bold_rows option (pandas-dev#16708) * Revert "CI: pin jemalloc=4.4.0 (pandas-dev#16727)" (pandas-dev#16731) This reverts commit 09d8c22. * CI: use dist/trusty rather than os/linux (pandas-dev#16806) closes pandas-dev#16730 * TST: Verify columns entirely below chop_threshold still print (pandas-dev#6839) (pandas-dev#16809) * BUG: clip dataframe column-wise pandas-dev#15390 (pandas-dev#16504) * TST: Verify that positional shifting works with duplicate columns (pandas-dev#9092) (pandas-dev#16810) * BUG: render dataframe as html do not produce duplicate element id's (pandas-dev#16780) (pandas-dev#16801) * BUG: when rendering dataframe as html do not produce duplicate element id's pandas-dev#16780 * CLN: removing spaces in code causes pylint check to fail * DOC: moved whatsnew comment to 0.20.3 release from 0.21.0 * fix BUG: ValueError when performing rolling covariance on multi indexed DataFrame (pandas-dev#16814) * fix multi index names * fix line length to pep8 * added what's new entry and reference issue number in test * Update test_multi.py * Update v0.20.3.txt * BUG: rolling.cov with multi-index columns should presever the MI (pandas-dev#16825) xref pandas-dev#16814 * use network decorator on additional tests (pandas-dev#16824) * BUG: TimedeltaIndex raising ValueError when slice indexing (pandas-dev#16637) (pandas-dev#16638) * Bug issue 16819 Index.get_indexer_not_unique inconsistent return types vs get_indexer (pandas-dev#16826) * TST: Verify that float columns stay float after pivot (pandas-dev#7142) (pandas-dev#16815) * BUG/MAINT: Change default of inplace to False in pd.eval (pandas-dev#16732) * BUG: kind parameter on categorical argsort (pandas-dev#16834) * DOC: Updated cookbook to show usage of Grouper instead of TimeGrouper… (pandas-dev#16794) * BUG: allow empty multiindex (fixes .isin regression, GH16777) (pandas-dev#16782) * BUG: fix missing sort keyword for PeriodIndex.join (pandas-dev#16586) * COMPAT: 32-bit compat for testing of indexers (pandas-dev#16849) xref pandas-dev#16826 * BUG: fix infer frequency for business daily (pandas-dev#16683) * DOC: Whatsnew updates (pandas-dev#16853) [ci skip] * TST/PKG: Move test HDF5 file to legacy (pandas-dev#16856) It wasn't being picked up in our package data otherwise * COMPAT: moar 32-bit compat for testing of indexers (pandas-dev#16861) xref pandas-dev#16826 * MAINT: Drop the get_offset_name method (pandas-dev#16863) Deprecated since 0.18.0 xref pandas-devgh-11834 * DOC: Fix missing parentheses in documentation (pandas-dev#16862) * BUG: rolling.quantile does not return an interpolated result (pandas-dev#16247) * ENH - Modify Dataframe.select_dtypes to accept scalar values (pandas-dev#16860) * COMPAT: moar 32-bit compat for testing of indexers (pandas-dev#16869) xref pandas-dev#16826 * Confirm that select was *not* clearer in 0.12 (pandas-dev#16878) * Added tests for _get_dtype (pandas-dev#16845) * BUG: Series.isin fails or categoricals (pandas-dev#16858) * COMPAT with dateutil 2.6.1, fixed ambiguous tz dst behavior (pandas-dev#16880) * fix wrongly named method (pandas-dev#16881) * TST/PKG: Removed pandas.util.testing.slow definition (pandas-dev#16852) * MAINT: Remove unused mock import (pandas-dev#16908) We import it, set it as an attribute, and then don't use it. * Let _get_dtype accept Categoricals and CategoricalIndex (pandas-dev#16887) * Fixes for pandas-dev#16896(TimedeltaIndex indexing regression for strings) (pandas-dev#16907) * Fix for pandas-dev#16909(DeltatimeIndex.get_loc is not working on np.deltatime64 data type) (pandas-dev#16912) * DOC: Recommend sphinx 1.5 for now (pandas-dev#16929) For the SciPy sprint tomorrow, until the cause of the doc-building slowdown is fully identified. * BUG: Allow value labels to be read with iterator (pandas-dev#16926) All value labels to be read before the iterator has been used Fix issue where categorical data was incorrectly reformatted when write_index was False closes pandas-dev#16923 * DOC: Update flake8 command instructions (pandas-dev#16919) * TST: Don't assert that a bug exists in numpy (pandas-dev#16940) Better to ignore the warning from the bug, rather than assert the bug is still there After this change, numpy/numpy#9412 _could_ be backported to fix the bug * CI: add .pep8speakes.yml * CLN16668: remove OrderedDefaultDict (pandas-dev#16939) * Change "pls" to "please" in error message (pandas-dev#16947) * BUG: MultiIndex sort with ascending as list (pandas-dev#16937) * DOC: Improving docstring of pop method (pandas-dev#16416) (pandas-dev#16520) * PEP8 * WARN: add stacklevel to to_dict() UserWarning (pandas-dev#16927) (pandas-dev#16936) * ERR: add stacklevel to to_dict() UserWarning (pandas-dev#16927) * TST: Add warning testing to to_dict() * Fix warning assertion on to_dict() test * Add github issue to documentation on to_dict() warning test * CI: fix pep8speaks .yml file * DOC: whatsnew 0.21.0 edits * CI: disable codecov reporting * MAINT: Move series.remove_na to core.dtypes.missing.remove_na_arraylike Closes pandas-devgh-16935 * Support non unique period indexes on join and merge operations (pandas-dev#16949) * Support non unique period indexes on join and merge operations * Add frame assertion on tests and release notes * Explicitly use dtype int64 on arange * BUG: Set secondary axis font size for `secondary_y` during plotting The parameter was not being respected for `secondary_y`. Closes pandas-devgh-12565 * DOC: more whatsnew fixes * DOC: Reset index examples closes pandas-dev#16416 Author: aernlund <awe220@nyumc.org> Closes pandas-dev#16967 from aernlund/reset_index_docs and squashes the following commits: 3c6a4b6 [aernlund] DOC: added examples to reset_index 4838155 [aernlund] DOC: added examples to reset_index 2a51e2b [aernlund] DOC: added examples to reset_index * channel from pandas to conda-forge (pandas-dev#16966) * BUG: coercing of bools in groupby transform (pandas-dev#16895) * DOC: misspelling in DatetimeIndex.indexer_between_time [CI skip] (pandas-dev#16963) * CLN: some residual code removed, xref to pandas-dev#16761 (pandas-dev#16974) * ENH: Create a 'Y' alias for date_range yearly frequency Closes pandas-devgh-9313 * Revert "ENH: Create a 'Y' alias for date_range yearly frequency" (pandas-dev#16976) This reverts commit 9c096d2, as it was prematurely made. * DOC: behavior when slicing with missing bounds (pandas-dev#16932) closes pandas-dev#16917 * TST: Add test for sub-char in read_csv (pandas-dev#16977) Closes pandas-devgh-16893. * DEPR: deprecate html.border option (pandas-dev#16970) * DOC: document convention argument for resample() (pandas-dev#16965) * DOC: document convention argument for resample() * DOC: Clarify 'it' in aggregate doc (pandas-dev#16989) Closes pandas-devgh-16988. * CLN/COMPAT: for various py2/py3 in doc/bench scripts (pandas-dev#16984) * PERF: SparseDataFrame._init_dict uses intermediary dict, not DataFrame (pandas-dev#16883) Closes pandas-devgh-16773. * MAINT: Drop line_width and height from options (pandas-dev#16993) Deprecated since 0.11 and 0.12 respectively. * COMPAT: Add back remove_na for seaborn (pandas-dev#16992) Closes pandas-devgh-16971. * COMPAT: np.full not available in all versions, xref pandas-dev#16773 (pandas-dev#17000) * DOC, TST: Clarify whitespace behavior in read_fwf documentation (pandas-dev#16950) Closes pandas-devgh-16772 * API: add infer_objects for soft conversions (pandas-dev#16915) * API: add infer_objects for soft conversions * doc fixups * fixups * doc * BUG: np.inf now causes Index to upcast from int to float (pandas-dev#16996) Closes pandas-devgh-16957. * DOC: Make highlight functions match documentation (pandas-dev#16999) Closes pandas-devgh-16998. * BUG: Large object array isin closes pandas-dev#16012 Author: Morgan Stuart <morgansstuart243@gmail.com> Closes pandas-dev#16969 from Morgan243/large_array_isin and squashes the following commits: 31cb4b3 [Morgan Stuart] Removed unneeded details from whatsnew description 4b59745 [Morgan Stuart] Linting errors; additional test clarification 186607b [Morgan Stuart] BUG pandas-dev#16012 - fix isin for large object arrays * BUG: reindex would throw when a categorical index was empty pandas-dev#16770 closes pandas-dev#16770 Author: ri938 <r_irv938@hotmail.com> Author: Jeff Reback <jeff@reback.net> Author: Tuan <tuan.d.tran@hotmail.com> Author: Forbidden Donut <forbdonut@gmail.com> This patch had conflicts when merged, resolved by Committer: Jeff Reback <jeff@reback.net> Closes pandas-dev#16820 from ri938/bug_issue16770 and squashes the following commits: 0e2d315 [ri938] Merge branch 'master' into bug_issue16770 9802288 [ri938] Update v0.20.3.txt 1f2865e [ri938] Update v0.20.3.txt 83fd749 [ri938] Update v0.20.3.txt eab3192 [ri938] Merge branch 'master' into bug_issue16770 7acc09f [ri938] Minor correction to previous submit 6e8f1b3 [ri938] Minor corrections to previous submit (pandas-dev#16820) 9ed80f0 [ri938] Bring documentation into line with master branch. 26e1a60 [ri938] Move documentation of change to the next major release 0.21.0 59b17cd [Jeff Reback] BUG: rolling.cov with multi-index columns should presever the MI (pandas-dev#16825) 5362447 [Tuan] fix BUG: ValueError when performing rolling covariance on multi indexed DataFrame (pandas-dev#16814) 800b40d [ri938] BUG: render dataframe as html do not produce duplicate element id's (pandas-dev#16780) (pandas-dev#16801) a725fbf [Forbidden Donut] BUG: Fix read of py3 PeriodIndex DataFrame HDF made in py2 (pandas-dev#16781) (pandas-dev#16790) 8f8e3d6 [ri938] TST: register slow marker (pandas-dev#16797) 0645868 [ri938] Add backticks in documentation 0a20024 [ri938] Minor correction to previous submit 69454ec [ri938] Minor corrections to previous submit (pandas-dev#16820) 3092bbc [ri938] BUG: reindex would throw when a categorical index was empty pandas-dev#16770 * BUG: Don't with empty Series for .isin (pandas-dev#17006) Empty Series initializes to float64, even when the data type is object for .isin, leading to an error with membership. Closes pandas-devgh-16991. * ENH: Use 'Y' as an alias for end of year (pandas-dev#16978) Closes pandas-devgh-9313 Redo of pandas-devgh-16958 * DOC: infer_objects doc fixup (pandas-dev#17018) * Fixes SparseSeries initiated with dictionary raising AttributeError (pandas-dev#16960) * DOC: Improving docstring of reset_index method (pandas-dev#16416) (pandas-dev#16975) * DOC: add warning to append about inefficiency (pandas-dev#17017) * DOC : Remove redundant backtick (pandas-dev#17025) * DOC: Document business frequency aliases (pandas-dev#17028) Follow-up to pandas-devgh-16978. * DOC: Fix double back-tick in 'Reshaping by Melt' section (pandas-dev#17030) See current stable docs for the issue: https://pandas.pydata.org/pandas-docs/stable/reshaping.html#reshaping-by-melt The double ` is causing the entire paragraph to be fixed width until the next double `. This commit removes the extra "`" * Define DataFrame plot methods in DataFrame (pandas-dev#17020) * CLN: move safe_sort from core.algorithms to core.sorting (pandas-dev#17034) COMPAT: safe_sort will only coerce list-likes to object, not a numpy string type xref: pandas-dev#17003 (comment) * DOC: Fixed Minor Typo (pandas-dev#17043) Cocumentation to Documentation * BUG: do not cast ints to floats if inputs o crosstab are not aligned (pandas-dev#17011) closes pandas-dev#17005 * BUG in merging categorical dates closes pandas-dev#16900 Author: Dave Willmer <dave.willmer@gmail.com> This patch had conflicts when merged, resolved by Committer: Jeff Reback <jeff@reback.net> Closes pandas-dev#16986 from dwillmer/cat_fix and squashes the following commits: 1ea1977 [Dave Willmer] Minor tweaks + comment 21a35a0 [Dave Willmer] Merge branch 'cat_fix' of https://github.com/dwillmer/pandas into cat_fix 04d5404 [Dave Willmer] Update tests 3cc5c24 [Dave Willmer] Merge branch 'master' into cat_fix 5e8e23b [Dave Willmer] Add whatsnew item b82d117 [Dave Willmer] Lint fixes a81933d [Dave Willmer] Remove unused import 218da66 [Dave Willmer] Generic solution to categorical problem 48e7163 [Dave Willmer] Test inner join 8843c10 [Dave Willmer] Fix TypeError when merging categorical dates * BUG: __setitem__ with a tuple induces NaN with a tz-aware DatetimeIndex (pandas-dev#16889) (pandas-dev#16897) * Added test for _get_dtype_type. (pandas-dev#16899) * BUG/API: dtype inconsistencies in .where / .setitem / .putmask / .fillna (pandas-dev#16821) * CLN/BUG: fix ndarray assignment may cause unexpected cast supersedes pandas-dev#14145 closes pandas-dev#14001 * API: This fixes a number of inconsistencies and API issues w.r.t. dtype conversions. This is a reprise of pandas-dev#14145 & pandas-dev#16408. This removes some code from the core structures & pushes it to internals, where the primitives are made more consistent. This should all us to be a bit more consistent for pandas2 type things. closes pandas-dev#16402 supersedes pandas-dev#14145 closes pandas-dev#14001 CLN: remove uneeded code in internals; use split_and_operate when possible * BUG: Improved thread safety for read_html() GH16928 (pandas-dev#16930) * Fixed 'add_methods' when the 'select' argument is specified. (pandas-dev#17045) * TST: Fix error message check in np.argsort comparision (pandas-dev#17051) Closes pandas-devgh-17046. * TST: Move some Series ctor tests to SharedWithSparse (pandas-dev#17050) * BUG: Made SparseDataFrame.fillna() fill all NaNs A continuation of pandas-dev#16178 closes pandas-dev#16112 closes pandas-dev#16178 Author: Kernc <kerncece@gmail.com> Author: keitakurita <kris337jbn@yahoo.co.jp> This patch had conflicts when merged, resolved by Committer: Jeff Reback <jeff@reback.net> Closes pandas-dev#16892 from kernc/sparse-fillna and squashes the following commits: c1cd33e [Kernc] fixup! BUG: Made SparseDataFrame.fillna() fill all NaNs 2974232 [Kernc] fixup! BUG: Made SparseDataFrame.fillna() fill all NaNs 4bc01a1 [keitakurita] BUG: Made SparseDataFrame.fillna() fill all NaNs * BUG: Use size_t to avoid array index overflow; add missing malloc of error_msg Fix a few locations where a parser's `error_msg` buffer is written to without having been previously allocated. This manifested as a double free during exception handling code making use of the `error_msg`. Additionally, use `size_t/ssize_t` where array indices or lengths will be stored. Previously, int32_t was used and would overflow on columns with very large amounts of data (i.e. greater than INTMAX bytes). xref pandas-dev#14696 closes pandas-dev#16798 Author: Jeff Knupp <jeff.knupp@enigma.com> Author: Jeff Knupp <jeff@jeffknupp.com> Closes pandas-dev#17040 from jeffknupp/16790-core-on-large-csv and squashes the following commits: 6a1ba23 [Jeff Knupp] Clear up prose a5d5677 [Jeff Knupp] Fix linting issues 4380c53 [Jeff Knupp] Fix linting issues 7b1cd8d [Jeff Knupp] Fix linting issues e3cb9c1 [Jeff Knupp] Add unit test plus '--high-memory' option, *off by default*. 2ab4971 [Jeff Knupp] Remove debugging code 2930eaa [Jeff Knupp] Fix line length to conform to linter rules e4dfd19 [Jeff Knupp] Revert printf format strings; fix more comment alignment 3171674 [Jeff Knupp] Fix some leftover size_t references 0985cf3 [Jeff Knupp] Remove debugging code; fix type cast 669d99b [Jeff Knupp] Fix linting errors re: line length 1f24847 [Jeff Knupp] Fix comment alignment; add whatsnew entry e04d12a [Jeff Knupp] Switch to use int64_t rather than size_t due to portability concerns. d5c75e8 [Jeff Knupp] BUG: Use size_t to avoid array index overflow; add missing malloc of error_msg * TST: remove some test warnings in parser tests (pandas-dev#17057) TST: move highmemory test to proper location in c_parser_only xref pandas-dev#16798 * DOC: Add more examples for reset_index (pandas-dev#17055) * MAINT: Add dash in high memory message Follow-up to pandas-devgh-17057. * MAINT: kwards --> kwargs in parsers.pyx * CLN: Cleanup comments in before_install_travis.sh envars.sh doesn't exist anymore. In fact, it's been gone for awhile. * MAINT: Remove duplicate Series sort_index check Duplicate boolean validation check for sort_index in series/test_validate.py * BLD: Pin pyarrow=0.4.1 (pandas-dev#17065) Addresses pandas-devgh-17064. Also add some additional build information when calling `pd.show_versions` * ENH: provide "inplace" argument to set_axis() closes pandas-dev#14636 Author: Pietro Battiston <me@pietrobattiston.it> Closes pandas-dev#16994 from toobaz/set_axis_inplace and squashes the following commits: 8fb9d0f [Pietro Battiston] REF: adapt NDFrame.set_axis() calls to new signature 409f502 [Pietro Battiston] ENH: provide "inplace" argument to set_axis(), change signature * BUG: Fix parser field type compatability on 32-bit systems. (pandas-dev#17071) Closes pandas-devgh-17063 * COMPAT: rename isnull -> isna, notnull -> notna (pandas-dev#16972) closes pandas-dev#15001 * BUG: Thoroughly dedup columns in read_csv (pandas-dev#17060) * ENH: Add skipna parameter to infer_dtype (pandas-dev#17066) Currently defaults to False for backwards compatibility. Will default to True in the future. Closes pandas-devgh-17059. * MAINT: Remove unused variable in test_scalar.py The "expected" variable is unused at the end of a test in indexing/test_scalar.py * TST: Add tests/indexing/ and reshape/ to setup.py (pandas-dev#17076) Looks like we just forgot about them. Oops. * CI: partially revert pandas-dev#17065, un-pin pyarrow on some builds * DOC: whatsnew typos * TST: Check more error messages in tests (pandas-dev#17075) * BUG: Respect dtype when calling pivot_table with margins=True closes pandas-dev#17013 This fix actually exposed an occurrence of pandas-dev#17035 in an existing test (as well as in one I added). Author: Pietro Battiston <me@pietrobattiston.it> Closes pandas-dev#17062 from toobaz/pivot_margin_int and squashes the following commits: 2737600 [Pietro Battiston] Removed now obsolete workaround 956c4f9 [Pietro Battiston] BUG: respect dtype when calling pivot_table with margins=True * MAINT: Add missing space in parsers.pyx "2< heuristic" --> "2 < heuristic" * MAINT: Add missing paren around print statement Stray verbose print statement in parsers.pyx was bare without any parentheses. * DOC: fix typos in missing.rst xref pandas-dev#16972 * DOC: further clean-up null/na changes (pandas-dev#17113) * BUG: Allow pd.unique to accept tuple of strings (pandas-dev#17108) * BUG: Allow Series with same name with crosstab (pandas-dev#16028) Closes pandas-devgh-13279 * COMPAT: make sure use_inf_as_null is deprecated (pandas-dev#17126) closes pandas-dev#17115 * CI: bump version of xlsxwriter to 0.5.2 (pandas-dev#17142) * DOC: Clean up instructions in ISSUE_TEMPLATE (pandas-dev#17146) * Add missing space to the NotImplementedError's message for compound dtypes (pandas-dev#17140) * DOC: (de)type the return value of concat (pandas-dev#17079) (pandas-dev#17119) * BUG: Thoroughly dedup column names in read_csv (pandas-dev#17095) * DOC: Additions/updates to documentation (pandas-dev#17150) * ENH: add to/from_parquet with pyarrow & fastparquet (pandas-dev#15838) * DOC: doc typos, xref pandas-dev#15838 * TST: test for categorical index monotonicity (pandas-dev#17152) * correctly determine bottleneck version * tests for categorical index monotonicity * fix Index.is_monotonic to point to Index.is_monotonic_increasing directly * MAINT: Remove non-standard and inconsistently-used imports (pandas-dev#17085) * DOC: typos in whatsnew * DOC: whatsnew 0.21.0 fixes * BUG: Fix CSV parsing of singleton list header (pandas-dev#17090) Closes pandas-devgh-7757. * ENH: Support strings containing '%' in add_prefix/add_suffix (pandas-dev#17151) (pandas-dev#17162) * REF: repr - allow block to override values that get formatted (pandas-dev#17143) * MAINT: Drop unnecessary newlines in issue template * remove direct import of nan Author: Brock Mendel <jbrockmendel@gmail.com> Closes pandas-dev#17185 from jbrockmendel/dont_import_nan and squashes the following commits: ee260b8 [Brock Mendel] remove direct import of nan * use == to test String equality (pandas-dev#17171) * ENH: Add warning when setting into nonexistent attribute (pandas-dev#16951) closes pandas-dev#7175 closes pandas-dev#5904 * DOC: added string processing comparison with SAS (pandas-dev#16497) * CLN: remove unused get methods in internals (pandas-dev#17169) * Remove unused get methods that would raise AttributeError if called * Remove unnecessary import * TST: Partial Boolean DataFrame Indexing (pandas-dev#17186) Closes pandas-devgh-17170 * CLN: Reformat docstring for IPython fixture * Define Series.plot and Series.hist in class definition (pandas-dev#17199) * BUG: support pandas objects in iloc with old numpy versions (pandas-dev#17194) closes pandas-dev#17193 * Implement _make_accessor classmethod for PandasDelegate (pandas-dev#17166) * Create ABCDateOffset (pandas-dev#17165) * BUG: resample and apply modify the index type for empty Series (pandas-dev#17149) * DOC: Updated NDFrame.astype docs (pandas-dev#17203) * MAINT: Minor touch-ups to GitHub PULL_REQUEST_TEMPLATE (pandas-dev#17207) Remove leading space from task-list so that tasks aren't nested. * CLN: replace %s syntax with .format in core.computation (pandas-dev#17209) * Bugfix for multilevel columns with empty strings in Python 2 (pandas-dev#17099) * CLN/ASV clean-up frame stat ops benchmarks (pandas-dev#17205) * BUG: Rolling apply on DataFrame with Datetime index returns NaN (pandas-dev#17156) * CLN: Remove import exception handling (pandas-dev#17218) Imports should succeed on all versions of Python that pandas supports. * MAINT: Remove extra the's in deprecation messages (pandas-dev#17222) * DOC: Patch docs in _decorators.py * CLN: replace %s syntax with .format in pandas.util (pandas-dev#17224) * Add 'See also' sections (pandas-dev#17223) * move pivot_table doc-string to DataFrame (pandas-dev#17174) * Remove import of pandas as pd in core.window (pandas-dev#17233) * TST: Move more frame tests to SharedWithSparse (pandas-dev#17227) * REF: _get_objs_combined_axis (pandas-dev#17217) * ENH/PERF: Remove frequency inference from .dt accessor (pandas-dev#17210) * ENH/PERF: Remove frequency inference from .dt accessor * BENCH: Add DatetimeAccessor benchmark * DOC: Whatsnew * Fix apparent typo in tests (pandas-dev#17247) * COMPAT: avoid calling getsizeof() on PyPy closes pandas-dev#17228 Author: mattip <matti.picus@gmail.com> Closes pandas-dev#17229 from mattip/getsizeof-unavailable and squashes the following commits: d2623e4 [mattip] COMPAT: avoid calling getsizeof() on PyPy * CLN: replace %s syntax with .format in pandas.core.reshape (pandas-dev#17252) Replaced %s syntax with .format in pandas.core.reshape. Additionally, made some of the existing positional .format code more explicit. * ENH: Infer compression from non-string paths (pandas-dev#17206) * Fix bugs in IntervalIndex.is_non_overlapping_monotonic (pandas-dev#17238) * BUG: Fix behavior of argmax and argmin with inf (pandas-dev#16449) (pandas-dev#16449) Closes pandas-dev#13595 * CLN: Remove have_pytz (pandas-dev#17266) Closes pandas-devgh-17251 * CLN: replace %s syntax with .format in core.dtypes and core.sparse (pandas-dev#17270) * Replace imports of * with explicit imports (pandas-dev#17269) xref pandas-dev#17234 * TST: pytest deprecation warnings GH17197 (pandas-dev#17253) Test parameters with marks are updated according to the updated API of Pytest. https://docs.pytest.org/en/latest/changelog.html#pytest-3-2-0-2017-07-30 https://docs.pytest.org/en/latest/parametrize.html * Handle more date/datetime/time formats (pandas-dev#15871) * DOC: add example on json_normalize (pandas-dev#16438) * BUG: Have object dtype for empty Categorical.categories (pandas-dev#17249) * BUG: Have object dtype for empty Categorical ctor Previously we had a `Float64Index`, which is inconsistent with, e.g., the regular Index constructor. * TST: Update tests in multi for new return Previously these relied worked around the return type by wrapping list-likes in `np.array` and relying on that to cast to float. These workarounds are no longer nescessary. * TST: Update union_categorical tests This relied on `NaN` being a float and empty being a float. Not a necessary test anymore. * TST: set object dtype * CLN: replace %s syntax with .format in pandas.tseries (pandas-dev#17290) * TST: parameterize consistency tests for rolling/expanding windows (pandas-dev#17292) * FIX: define `DataFrame.items` for all versions of python (pandas-dev#17214) * PERF: Update ASV publish config (pandas-dev#17293) Stricter cutoffs for considering regressions [ci skip] * DOC: Expand docstrings for head / tail methods (pandas-dev#16941) * MAINT: Use set literal for unsupported + depr args Initializes unsupported and deprecated argument sets with set literals instead of the set constructor in pandas/io/parsers.py, as the former is slightly faster than the latter. * DOC: Add proper docstring to maybe_convert_indices Patches several spelling errors and expands current doc to a proper doc-string. * DOC: Improving docstring of take method (pandas-dev#16948) * BUG: Fixed regex in asv.conf.json (pandas-dev#17300) In pandas-dev#17293 I messed up the syntax. I used a glob instead of a regex. According to the docs at http://asv.readthedocs.io/en/latest/asv.conf.json.html#regressions-thresholds we want to use a regex. I've actually manually tested this change and verified that it works. [ci skip] * Remove unnecessary usage of _TSObject (pandas-dev#17297) * BUG: clip should handle null values closes pandas-dev#17276 Author: Michael Gasvoda <mgasvoda@mercatus.gmu.edu> Author: mgasvoda <mgasvoda01@gmail.com> Closes pandas-dev#17288 from mgasvoda/master and squashes the following commits: a1dbdf2 [mgasvoda] Merge branch 'master' into master 9333952 [Michael Gasvoda] Checking output of tests 4e0464e [Michael Gasvoda] fixing whatsnew text c442040 [Michael Gasvoda] formatting fixes 7e23678 [Michael Gasvoda] formatting updates 781ea72 [Michael Gasvoda] whatsnew entry d9627fe [Michael Gasvoda] adding clip tests 9aa0159 [Michael Gasvoda] Treating na values as none for clips * BUG: fillna returns frame when inplace=True if value is a dict (pandas-dev#16156) (pandas-dev#17279) * CLN: Index.append() refactoring (pandas-dev#16236) * DEPS: set min versions (pandas-dev#17002) closes pandas-dev#15206, numpy >= 1.9 closes pandas-dev#15543, matplotlib >= 1.4.3 scipy >= 0.14.0 * CLN: replace %s syntax with .format in core.tools, algorithms.py, base.py (pandas-dev#17305) * BUG: Fix strange behaviour of Series.iloc on MultiIndex Series (pandas-dev#17148) (pandas-dev#17291) * DOC: Add module doc-string to tseries/api.py * MAINT: Clean up docs in pandas/errors/__init__.py * CLN: replace %s syntax with .format in missing.py, nanops.py, ops.py (pandas-dev#17322) Replaced %s syntax with .format in missing.py, nanops.py, ops.py. Additionally, made some of the existing positional .format code more explicit. * Make pd.Period immutable (pandas-dev#17239) * Bug: groupby multiindex levels equals rows (pandas-dev#16859) closes pandas-dev#16843 * BUG: Cannot use tz-aware origin in to_datetime (pandas-dev#16842) closes pandas-dev#16842 Author: step4me <prosikeffect@gmail.com> Closes pandas-dev#17244 from step4me/step4me-feature and squashes the following commits: 09d051d [step4me] BUG: Cannot use tz-aware origin in to_datetime (pandas-dev#16842) * Replace usage of total_seconds compat func with timedelta method (pandas-dev#17289) * CLN: replace %s syntax with .format in core/indexing.py (pandas-dev#17357) Progress toward issue pandas-dev#16130. Converted old string formatting to new string formatting in core/indexing.py. * DOC: Point to dev-docs in issue template (pandas-dev#17353) [ci skip] * CLN: remove total_seconds compat from json (pandas-dev#17341) * CLN: Move test_intersect_str_dates (pandas-dev#17366) Moves test_intersect_str_dates from tests/indexes/test_range.py to tests/indexes/test_base.py. * BUG: Respect dups in reindexing CategoricalIndex (pandas-dev#17355) When the indexer is identical to the elements. We should still return duplicates when the indexer contains duplicates. Closes pandas-devgh-17323. * Unify Index._dir_* with Series implementation (pandas-dev#17117) * BUG: make order of index from pd.concat deterministic (pandas-dev#17364) closes pandas-dev#17344 * Fix typo that causes several NaT methods to have incorrect docstrings (pandas-dev#17327) * CLN: replace %s syntax with .format in io/formats/format.py (pandas-dev#17358) Progress toward issue pandas-dev#16130. Converted old string formatting to new string formatting in io/formats/format.py. * PKG: Added pyproject.toml for PEP 518 (pandas-dev#16745) Declaring build-time requirements: https://www.python.org/dev/peps/pep-0518/ * DOC: Update Overview page in documentation (pandas-dev#17368) * Update Overview page in documentation * DOC Revise Overview page * DOC Make further revisions in Overview webpage * Update overview.rst Remove references to Panel * API: Have MultiIndex consturctors always return a MI (pandas-dev#17236) * API: Have MultiIndex constructors return MI This removes the special case for MultiIndex constructors returning an Index if all the levels are length-1. Now this will return a MultiIndex with a single level. This is a backwards incompatabile change, with no clear method for deprecation, so we're making a clean break. Closes pandas-dev#17178 * fixup! API: Have MultiIndex constructors return MI * Update for comments

Currently defaults to False for backwards compatibility. Will default to True in the future. Closes pandas-devgh-17059.

cpcloud added Enhancement Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate labels Jul 24, 2017

cpcloud added this to the Next Major Release milestone Jul 24, 2017

cpcloud requested a review from jreback July 24, 2017 16:41

gfyoung reviewed Jul 24, 2017

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gfyoung approved these changes Jul 24, 2017

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cpcloud mentioned this pull request Jul 24, 2017

Cleaner infer #17069

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jreback reviewed Jul 24, 2017

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cpcloud mentioned this pull request Jul 25, 2017

ENH: Enable unary math operations for pandas, sqlite ibis-project/ibis#1071

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cpcloud modified the milestones: 0.21.0, Next Major Release Jul 25, 2017

jreback approved these changes Jul 25, 2017

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cpcloud added 6 commits July 25, 2017 09:49

ENH: Add skipna parameter to infer_dtype

62008ec

ENH: Refactor type inference Cython code

9422651

PERF: No negative index or out of bounds check

68b277b

DOC: versionadded tag

b4552c3

PERF: Inline leaf classes' methods

ddfca51

PERF: Don't try to inline the larger methods

234110a

cpcloud commented Jul 25, 2017

View reviewed changes

cpcloud added 2 commits July 25, 2017 09:57

DOC: typo

ca2e65b

REF: Address comments

9a42836

CLN: Simplify is_array_type for strings

1883927

gfyoung merged commit 13b57cd into pandas-dev:master Jul 25, 2017

cpcloud deleted the add-skipna-for-infer-dtype branch July 25, 2017 18:23

alanbato pushed a commit to alanbato/pandas that referenced this pull request Nov 10, 2017

ENH: Add skipna parameter to infer_dtype (pandas-dev#17066)

dde4717

Currently defaults to False for backwards compatibility. Will default to True in the future. Closes pandas-devgh-17059.

This was referenced Oct 30, 2018

API: fix corner cases of lib.infer_dtype #23421

Closed

API: fix corner case of lib.infer_dtype #23422

Merged

h-vetinari mentioned this pull request Dec 2, 2018

DEPR: deprecate default of skipna=False in infer_dtype #24050

Merged

4 tasks


		cdef bint is_valid(self, object value) except -1:
		return self.is_value_typed(value)


		cdef bint is_value_typed(self, object value) except -1:
		return util.is_bool_object(value)

ENH: Add skipna parameter to infer_dtype #17066

ENH: Add skipna parameter to infer_dtype #17066

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