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https://api.github.com/repos/pandas-dev/pandas/issues/21512
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333,009,461
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21,512
Maintain Dict Ordering with Concat
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2018-06-16T19:26:07Z
2018-10-11T01:52:23Z
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- [x] closes #21510 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry although the set is instance of dict, it should not sort if it is also instance of OrderedDict
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setitem(s) do not cast bool to float/int (while they cast int to float and vice-versa)
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#### Code Sample, a copy-pastable example if possible ```python In [2]: def cast_or_not(dtype1, dtype2): ...: s = pd.Series(0, index=range(3), dtype=dtype1) ...: s[0] = dtype2(1) ...: return s.dtype == dtype1 In [3]: cast_or_not(bool, float) Out[3]: True In [4]: cast_or_not(float, boo...
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21,514
split up pandas/tests/indexes/test_multi.py #18644
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2018-07-15T17:19:13Z
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CONTRIBUTOR
null
- [x] closes #18644 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` The file is split out, the number of tests remains 377 (2 skips on my machine; all other test cases pass), the code uses fixtures in all instances, new fixtures are in a local conftest.py file, and t...
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21,515
Fix passing empty label to df drop
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2018-06-17T19:19:30Z
2018-06-29T15:00:18Z
2018-06-21T08:13:02Z
CONTRIBUTOR
null
- Closes #21494 - Tests added / passed -Drop method in indexes/base.py, docs say KeyError should only be raised if **none** of labels are found in selected axis. However `pd.DataFrame(index=[1,2,3]).drop([1, 4])` throws. -Makes behaviour consistent for .drop() across unique/non-unique indexes. Both the below wi...
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pandas.read_csv leaks memory while opening massive files with chunksize & iterator=True
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6
2018-06-18T05:49:46Z
2018-07-04T02:59:25Z
2018-07-04T02:59:25Z
NONE
null
I am using anaconda and my pandas version is 0.23.1. When dealing with single large file, setting chunksize or iterator=True works fine and memory usage is low. The problem raises when I am trying to dealing with 5000+ files (file names are in `filelist`): ```python trajectory = [pd.read_csv(f, delim_whitespace=Tru...
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21,517
Comparison of (Multi)Index to tuple interprets tuple as collection
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2018-06-18T08:06:12Z
2020-10-18T15:01:55Z
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MEMBER
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#### Code Sample, a copy-pastable example if possible ```python In [2]: mi = pd.MultiIndex.from_product([[1, 2]]*2) In [3]: mi == mi[0] Out[3]: False In [4]: fl = pd.Index(range(4)) In [5]: fl == fl[0] Out[5]: array([ True, False, False, False]) In [6]: fl == mi[0] Out[6]: False ``` #### Problem ...
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21,518
DOC: Fix indentation of lists in rst files
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2018-06-20T10:14:26Z
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MEMBER
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The indentation for lists in the restructuredText standard is next: - No indentation for top level lists - 4 space indentation for sublists When a top list is indented (with for example one space), the list is included in a `blockquote` element when rendered as html. In the current sphinx template, this does not s...
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Fixing documentation lists indentation (#21518)
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2018-06-18T08:42:05Z
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- [X] closes #21518 - [ ] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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DOC: Implement script to validate list indentation in docs
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2018-06-18T10:57:25Z
2021-06-20T04:51:38Z
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MEMBER
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In #21518 it's been identified that several lists in the documentation don't follow the restructuredText standard (no indentation for top-level lists, 4 space indentation for sublists). In that issue, (hopefully) all the formatting has been fixed manually. But it'd be useful to have a script that validates all the d...
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MDU6SXNzdWUzMzMyMzQ0MjE=
21,521
BUG: groupby().ffill() adds group labels as extra column
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22
2018-06-18T11:40:31Z
2019-05-15T01:41:43Z
2019-05-15T01:41:43Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible Input: ```python pd.DataFrame(0, [1,2], [3,4]).groupby([5, 6]).ffill() ``` Output: ```python NaN 3 4 1 5 0 0 2 6 0 0 ``` #### Problem description `groupby().ffill()` adds an additional column to the dataframe, containing a copy...
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333,238,768
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21,522
MultiIndex.is_unique is unbearably slow
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2018-06-18T11:55:51Z
2018-06-18T21:43:00Z
2018-06-18T21:43:00Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible ```python class Integer(object): goal_time = 0.2 def setup(self): self.mi_int = MultiIndex.from_product([np.arange(1000), np.arange(1000)], name...
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MDExOlB1bGxSZXF1ZXN0MTk1NTE5MDU0
21,523
PERF: remove useless overrides
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2
2018-06-18T13:07:25Z
2018-06-29T14:55:16Z
2018-06-18T21:43:00Z
MEMBER
null
- [x] closes #21522 - [x] tests passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry Asv run: ``` before after ratio [9e982e18] [705f0e3b] - 243±7ms 186±4ms 0.77 multiindex_object.GetLoc.time_large_get_loc_...
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21,524
"maximum recursion depth exceeded" when calculating duplicates in big DataFrame (regression comparing to the old version)
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9
2018-06-18T15:17:49Z
2018-06-21T02:54:24Z
2018-06-21T02:54:24Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible I'm currently in the middle of upgrading old system from old pandas (0.12) to the new version (0.23.0). One of the parts of the system is duplicate columns detection in medium-sized DataFrames (~100 columns, few thousand rows). We were detecting it like this `dupes...
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333,323,818
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21,525
NotImplementedError: 'AnnAssign' nodes are not implemented but numpy-like syntax works
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10
2018-06-18T15:38:45Z
2020-01-09T05:00:18Z
2018-08-30T12:46:57Z
NONE
null
My dataframe ``df`` has a column called "Unnamed:_6" which is of dtype ``object``. Running the following command works just fine: ```python df[df['Unnamed:_6'] == "Foo"] ``` However, the equivalent line: ```python df.query('Unnamed:_6 == "Foo"') ``` raises the following exception: ```python NotImplemente...
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333,325,369
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21,526
ENH: allow ranges to be set on Styler .bar()
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6
2018-06-18T15:42:40Z
2021-06-28T22:23:52Z
2021-06-28T22:23:52Z
CONTRIBUTOR
null
When generating in table bar charts using the [Styler `.bar()`](https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/style.py): - extreme outliers in a column mask differences in other values; - comparisons across columns are not supported. One solution would be to allow the setting of explicit bou...
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333,328,721
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21,527
ENH: Styler display of NaN / null Values
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2018-06-18T15:49:43Z
2019-11-25T13:54:21Z
2019-11-25T13:54:21Z
CONTRIBUTOR
null
The `Styler` allows for null cells to be highlighted using `.style.highlight_null()` but a `nan` text string will also be displayed. If a column is coloured using `.background_gradient()` it must be a numeric type otherwise numerical comparisons fail. This means that using a construction of the form `..fillna('')` o...
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21,528
[DOC]: Explain the choice of absolute/relative tolerance for check_less_precise in assert_almost_equal
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2018-06-18T15:57:01Z
2018-06-22T10:21:14Z
2018-06-22T10:21:14Z
CONTRIBUTOR
null
The docstring in https://github.com/pandas-dev/pandas/blob/9e982e18678c47c83ce2bb5932f844e2d9ee21f3/pandas/util/testing.py#L226-L229 does not specify how the number of decimal digits is going to be used, yet https://github.com/pandas-dev/pandas/blob/9e982e18678c47c83ce2bb5932f844e2d9ee21f3/pandas/_libs/testing.pyx#L203...
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21,529
Current status of pandas comparing with pandas2
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2018-06-18T17:31:06Z
2018-11-29T06:24:06Z
2018-11-29T06:24:06Z
NONE
null
- What's the current status of pandas comparing with the design doc of pandas2 (https://pandas-dev.github.io/pandas2/)? - Have we fixed some problems and finished some of goals mentioned in pandas2? - Is there a roadmap for future pandas ?
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21,530
BUG: np.array @ pd.Series swaps arguments
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2018-06-18T18:22:58Z
2018-06-22T22:59:28Z
2018-06-22T22:59:28Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible Input: ```python np.zeros((1, 2)) @ pd.Series(np.zeros(2)) ``` Output: ```python File "<ipython-input-83-3148232e4345>", line 1, in <module> np.zeros((1, 2)) @ pd.Series(np.zeros(2)) File "pandas/core/series.py", line 2061, in __rmatmul__ r...
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333,383,755
MDExOlB1bGxSZXF1ZXN0MTk1NjA5NDY4
21,531
BUG: Allow IOErrors when attempting to retrieve default client encoding.
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2018-06-18T18:26:25Z
2018-09-19T20:18:02Z
2018-09-19T14:16:11Z
CONTRIBUTOR
null
- [X] closes #21552 When using mod_wsgi, access to sys.stdout is restricted by default. To handle this case, catch a base exception instead of a more specific AttributeError during this process to include the thrown IOError by mod_wsgi.
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333,395,213
MDExOlB1bGxSZXF1ZXN0MTk1NjE4MDk4
21,532
fixed unicode issue (21499) using requests library
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2018-06-18T19:01:02Z
2018-06-18T23:12:51Z
2018-06-18T23:12:51Z
NONE
null
- [x ] closes #21499 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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333,484,735
MDExOlB1bGxSZXF1ZXN0MTk1Njg3MzEz
21,533
remove daytime attr, move getstate and setstate to base class
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3
2018-06-19T01:04:42Z
2018-06-22T03:27:52Z
2018-06-19T11:12:53Z
MEMBER
null
If/when #18224 is revived to make `_BaseOffset` a `cdef class`, we'll need to move `__getstate__` and `__setstate__` into the base class (and then make some changes). This moves the two methods pre-emptively so that we'll have a smaller diff for the next steps. Also removes an attr `self.daytime` that is not used a...
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333,507,466
MDExOlB1bGxSZXF1ZXN0MTk1NzAzMzE5
21,534
DOC: remove grammar duplication in groupby docs
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3
2018-06-19T03:33:19Z
2018-06-19T12:20:22Z
2018-06-19T08:30:48Z
CONTRIBUTOR
null
"can be could be" -> "could be"
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MDU6SXNzdWUzMzM1MjMxMTY=
21,535
Unexpected behaviour of apply function
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7
2018-06-19T05:23:21Z
2018-06-21T10:12:33Z
2018-06-21T10:12:33Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import numpy as np import pandas as pd tmp = np.array([[1,1,1], [1,0,0], [1,1,0], [1,1,0]]) tmp_df = pd.DataFrame(tmp) tmp_df.apply(lambda x: x[x==1].index.tolist() , axis=1) # throws ValueError [I] Out[0]: ValueError: could not broadcast inp...
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21,536
json_normalize throws `TypeError` with array of values and `record_prefix`
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2018-06-19T07:38:05Z
2018-06-22T23:07:22Z
2018-06-22T23:07:22Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python from pandas.io.json import json_normalize df = json_normalize({'A': [1, 2]}, 'A', record_prefix='Prefix.') print(df) ``` #### Problem description The above code throws a `TypeError`: ``` Traceback (most recent call last): File "c:\Users...
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21,537
json_normalize has inconsistent behaviors while flattening nested array elements
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2018-06-19T08:07:09Z
2019-10-29T04:47:51Z
2019-10-25T16:54:35Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python from pandas.io.json import json_normalize df1 = json_normalize([{'A': {'B': 1}}]) df2 = json_normalize({'dummy': [{'A': {'B': 1}}]}, 'dummy') print(df1) print(df2) ``` #### Problem description The above code produces: | |A.B| |-|-| |0...
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21,538
Support set the key of index from "index" to df.index.name in df.to_dict() when orient="split"
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2018-06-19T08:31:22Z
2021-06-23T09:41:53Z
2018-06-21T02:59:09Z
NONE
null
#### Code Sample, a copy-pastable example if possible When I use to_dict() to convert the dataframe to dict in "split" mode. I just found that the key of index can not be changed. Is that possibile that to add a support: change the key of index from "index" to df.index.name or any way that I can change the key of inde...
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21,539
[TST] : Adding test cases to confirm that .apply() works fine
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2018-06-19T09:00:49Z
2018-06-21T10:12:12Z
2018-06-21T10:12:12Z
CONTRIBUTOR
null
Adding test cases for closure of issue : Unexpected behaviour of apply function - [x] closes #21535 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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BUG: Fix json_normalize throwing TypeError (#21536)
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2018-06-19T09:09:28Z
2018-06-29T15:04:11Z
2018-06-22T23:07:22Z
CONTRIBUTOR
null
Fix json_normalize throwing TypeError with array of values and record_prefix (#21536) - [x] closes #21536 - [x] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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333,584,449
MDExOlB1bGxSZXF1ZXN0MTk1NzU5NTg3
21,541
BUG: Fix group index calculation to prevent hitting maximum recursion depth (#21524)
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2018-06-19T09:12:43Z
2018-06-29T15:00:02Z
2018-06-21T02:54:24Z
CONTRIBUTOR
null
This just replaces tail recursion call with a simple loop. It should have no effect whatsoever on a performance but prevent hitting recursion limits on some input data ( See example in my issue here: https://github.com/pandas-dev/pandas/issues/21524 ) - [x] closes #21524 - [x] tests added / passed - [x] passes `g...
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333,620,914
MDU6SXNzdWUzMzM2MjA5MTQ=
21,542
DatetimeProperties.date problem with time zones
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2018-06-19T10:57:39Z
2018-06-20T08:33:51Z
2018-06-20T04:50:54Z
NONE
null
#### Code Sample ```python import pandas as pd x = pd.Timestamp('2018-07-20 18:15:00+0200') y = pd.DataFrame([{'date': x}]) y['date'].dt.date[0] ``` #### Problem description In Pandas 0.23.0, this returns `2018-07-19` while in 0.22.0 it returns `2018-07-20`. The behaviour in 0.22.0 is the expected one. I ...
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333,707,916
MDExOlB1bGxSZXF1ZXN0MTk1ODU1NTgz
21,543
Fixed HDFSTore.groups() performance.
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2018-06-19T14:51:55Z
2018-07-02T23:25:35Z
2018-06-21T09:47:12Z
CONTRIBUTOR
null
No longer walks every node, but rather every group. - [x] closes #21372 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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MDExOlB1bGxSZXF1ZXN0MTk1ODcxMTc0
21,544
BUG: Series.combine_first with datetime-tz dtype (#21469)
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2018-06-19T15:38:23Z
2018-06-27T19:11:46Z
2018-06-27T19:11:10Z
CONTRIBUTOR
null
- [x] closes #21469 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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21,545
to_csv() does not work with gzip module in py3 / py2 0.23.1 (works in py2 0.19.2)
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2018-06-19T16:32:55Z
2018-06-19T18:03:13Z
2018-06-19T18:03:13Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # py2 (0.19.2) - the stringio has the (gzip'd) dataframe as a csv. can write to file and read back. ~ $ ipython Python 2.7.15 (default, May 1 2018, 16:44:37) Type "copyright", "credits" or "license" for more information. IPython 5.6.0 -- An en...
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333,785,061
MDU6SXNzdWUzMzM3ODUwNjE=
21,546
Where method does not properly handle values with datetimes with TZ
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2018-06-19T18:20:23Z
2018-07-02T23:54:23Z
2018-07-02T23:54:23Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible Series input: ```python import pandas as pd dts1 = pd.date_range('20150101', '20150105', tz='America/New_York') df1 = pd.DataFrame({'date': dts1}) dts2 = pd.date_range('20150103', '20150107', tz='America/New_York') df2 = pd.DataFrame({'dat...
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21,547
ENH: set accessor for Series (WIP)
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2018-06-19T21:33:23Z
2018-12-26T16:58:23Z
2018-09-25T16:29:51Z
CONTRIBUTOR
null
Closes #4480, and a fair bit more that was discussed in comments. In particular, it makes the `numpy` methods NaN-safe, index aware, and adds a bit of wrapping convenience. This is still a WIP, so no tests yet. Also more work to do on docstrings, whatsnew, and some overview documentation similar to `pandas/doc/sourc...
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21,548
style.bar: add support for axis=None (tablewise application instead of rowwise or columnwise)
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2018-06-19T23:08:25Z
2018-08-30T12:47:03Z
2018-08-30T12:46:57Z
CONTRIBUTOR
null
- eliminate code duplication related to style.bar with different align modes - add support for axis=None - fix minor bug with align 'zero' and width < 100 - make generated CSS gradients more compact - [x] Closes #21525 - [x] tests added / passed - [x] passes `git diff origin/master -u -- "*.py" | flake8 --diff`...
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21,549
use ccalendar instead of np_datetime
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2018-06-19T23:12:11Z
2018-07-01T01:27:52Z
2018-06-26T22:29:48Z
MEMBER
null
Do Not Merge AFAICT the np_datetime.c versions of these functions are noticeably more performant than the cython versions. I could use help verifying this observation since asv doesn't work well for me. Best guess is that lookups in np_datetime.c's `days_per_month_table[2][12]` are more efficient than lookups in...
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333,887,767
MDExOlB1bGxSZXF1ZXN0MTk1OTk1NDg3
21,550
Update "See Also" section of pandas/core/generic.py
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1
2018-06-20T00:51:53Z
2018-06-20T09:50:28Z
2018-06-20T09:50:22Z
CONTRIBUTOR
null
Fix some minor text errors in `infer_objects` and `convert_objects`.
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333,899,400
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21,551
to_numeric not correctly converting decimal type to float
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3
2018-06-20T02:08:45Z
2018-06-22T10:05:46Z
2018-06-22T10:05:46Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd import decimal # Set up date data = {'line': [1,2,3,4], 'decimal': [12345678.1, 12345678.01, 12345678.001, 12345678.0001], 'original': [12345678.1, 12345678.01, 12345678.001, 12345678.0001]} df = pd.DataFram...
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21,552
BUG: mod_wsgi restricting access to stdout throws unhandled IOError.
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0
2018-06-20T03:17:19Z
2018-09-19T14:16:11Z
2018-09-19T14:16:11Z
CONTRIBUTOR
null
#### Problem description We're using pandas on the backend of our internal web server for a few utilities. Any attempt to import the library causes an IOError to be thrown due to our setup of mod_wsgi restricting stdout access by default (WSGIRestrictStdout On). The cause of this error is an attempt to get the clie...
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21,553
Update tutorials.rst
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2018-06-20T05:23:33Z
2018-06-20T09:46:45Z
2018-06-20T09:46:45Z
NONE
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Added a new video listing.
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21,554
BUG: bug in group by rank string
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2018-06-20T07:00:58Z
2019-09-12T02:43:29Z
2018-06-20T12:52:14Z
NONE
null
#### Bug description ```python In[1]: import pandas as pd In[2]: df = pd.DataFrame({"key": ["a", "a", "b", "b", "b"], "value_str": ["u1", "u2", "u3", "u4", "u5"], "value_int": range(5)}) In[3]: df Out[3]: key value_str value_int 0 a u1 0 1 a ...
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21,555
Index Dtype Not Preserved During read_fwf
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2018-06-20T12:04:43Z
2019-04-24T16:34:08Z
2019-04-24T16:34:03Z
NONE
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#### Code Sample (copy-pastable, MCVE) Consider the following code: ```python import io import pandas as pd # Trial FWF file: data = io.StringIO('x10011\nx10012\nx10013\nx10024\nx20025\nx20026\nx20037\nx20038\n') # Read and cast: df1 = pd.read_fwf(data, widths=[2,3,1], header=None, dtype={0: str, 1: str...
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21,556
to_csv decimal is not vorking
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2018-06-20T12:10:00Z
2018-06-20T14:26:32Z
2018-06-20T12:57:08Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here import pandas as pd fname = 'data.csv' df = pd.read_csv(fname, decimal=',') df.to_csv('data2.csv', decimal='.', index=False) ``` #### Problem description data.csv content: 1,41552492693104 1,41552492693104 1,9509035661854...
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21,557
KeyError error message could be less confusing
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2018-06-20T13:15:59Z
2018-06-21T09:42:42Z
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MEMBER
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#### Code Sample, a copy-pastable example if possible ```python In [2]: pd.Series(range(3)).loc[4] --------------------------------------------------------------------------- KeyError Traceback (most recent call last) /home/nobackup/repo/pandas/pandas/core/indexing.py in _validat...
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ERR: Raise a simpler backtrace for missing key
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2018-06-20T13:19:14Z
2018-06-22T10:41:15Z
2018-06-21T09:42:42Z
MEMBER
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- [x] closes #21557 - [x] tests passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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334,097,490
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21,559
merge_asof fails to coerce float types
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2018-06-20T14:12:56Z
2021-06-20T04:53:39Z
null
CONTRIBUTOR
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#### Code Sample, a copy-pastable example if possible ```python import numpy as np import pandas as pd df1 = pd.DataFrame({'x': pd.Series([1], dtype=np.float64)}) df2 = pd.DataFrame({'x': pd.Series([1], dtype=np.float32)}) df3 = pd.merge(df1, df2, on='x') # works df4 = pd.merge_asof(df1, df2, on='x', direct...
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21,560
Pandas version 0.23.1 failed to save dataframe onto HDFS with hdfs cli
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2018-06-20T14:49:39Z
2018-09-11T10:15:47Z
2018-09-11T10:15:47Z
NONE
null
#### Problem description I'm using Pandas for data transformation and the I/O is HDFS(by using [HdfsCLI](http://hdfscli.readthedocs.io/en/latest/)). When I use version 0.23.1, the ``to_csv`` function gives me ``AttributeError``: ```python Traceback (most recent call last): File "GEOCODAGE_REP_AGREE_STEP_2_V2...
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21,561
Test Case for to_csv to sys.stdout
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2018-06-20T16:27:22Z
2018-06-22T23:04:39Z
2018-06-22T23:04:39Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python #! /usr/bin/env python3 import sys import pandas as pd import numpy as np data = pd.DataFrame(np.random.randint(low=0, high=10, size=(5, 5)), columns=['a', 'b', 'c', 'd', 'e']) print('--------- Output ----------') data....
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21,562
DOC: Wrong documentation rendering when a space is missing after backticks
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2018-06-20T16:36:57Z
2018-06-21T10:10:32Z
2018-06-21T10:10:32Z
MEMBER
null
It seems like the documentation is not rendering correctly when a space is not present after using backticks. For example `making ``DataFrame`` render with monospace font` will work as expected. But `using plural ``DataFrame``s does not have a space between `` and s` does not identify the closing backticks and th...
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21,563
float16 inconsistenly slow assignment
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2018-06-20T20:50:54Z
2018-06-22T05:46:51Z
2018-06-21T23:43:19Z
CONTRIBUTOR
null
I know float16 is not very supported a lot, but wanted to mention this at least for a reference if no one can help. #### Code Sample, a copy-pastable example if possible Every second assignment to a particular column is slow by several orders of magnitude on float16. Bear with me with the example - it's in ipytho...
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21,564
Tick DateOffset Normalize whatsnew entry has an error
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2018-06-20T21:00:00Z
2021-06-20T04:54:39Z
null
CONTRIBUTOR
null
http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#tick-dateoffset-normalize-restrictions - [x] These :class: refs don't resolve. We probably need to add offsets to `api.rst` and update the references to `tseries.offsets.Day`, etc. (#21586) - [ ] ` tic = pd.offsets.Hour(n=2, normalize=True)` throws an ex...
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21,565
crosstab gives wrong result if a categorical Series contains NaNs
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2018-06-20T22:03:35Z
2019-01-22T10:05:19Z
2018-06-21T00:24:42Z
NONE
null
#### Test code: ```python import numpy as np import pandas as pd df = pd.DataFrame.from_dict( {"objcol": ("A", "B", np.nan, "C", "C", "A", "D" ) }) df["catcol"] = df.objcol.astype('category') pd.crosstab( df.objcol, 1 ) pd.crosstab( df.catcol, 1 ) ``` #### Problem description We have this data frame...
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21,566
DOC: Add documentation for freq='infer' option of DatetimeIndex and TimedeltaIndex constructors
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2018-06-20T23:28:07Z
2018-06-21T03:27:57Z
2018-06-21T00:09:16Z
MEMBER
null
- [X] closes #21128 - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` Reboot of #21201. Should be good to merge on green based on comments in the previous PR, but will leave this open for a little bit to give anyone who missed the old PR a chance to review.
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21,567
Inconsistent error where looking for label of wrong type
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2018-06-21T04:53:13Z
2020-02-27T23:08:52Z
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MEMBER
null
#### Code Sample, a copy-pastable example if possible ```python In [2]: pd.Series(-1, index=list('abc')).loc[1] --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-2-c0de4e42231c> in <module>() ---...
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21,568
[DOC]: Updating merge.rst to resolve rendering issues
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1
2018-06-21T07:21:24Z
2018-06-21T09:39:22Z
2018-06-21T09:39:18Z
CONTRIBUTOR
null
Fixing Documentation according to rendering requirements - [x] xref #21562 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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REF: multi_take is now able to tackle all list-like (non-bool) cases
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2018-06-21T09:26:31Z
2018-06-21T13:06:13Z
2018-06-21T13:05:44Z
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- [x] tests passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` This is basically a consequence of #21503 - the code path for indexing when ``key`` is a collection is now the same for multi_take and for single take. (Next step will be to merge the other code paths too, and approach with m...
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DOC: Fixing spaces around backticks, and linting
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- [X] closes #21562 - [ ] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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Are Static Methods Allowed on Accessors?
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2018-06-21T11:36:16Z
2018-06-21T11:40:14Z
2018-06-21T11:40:14Z
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Are staticmethods allows on accessor namespaces? Or do namespace only get added to the DataFrame once it's created? So can I would like to have something like: `df = pd.DataFrame.<name space>.<static method>(**kwargs)` Where the staticmethod would do a task like importing data specific to the `namespace domai...
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21,572
add test case when to_csv argument is sys.stdout
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2018-06-21T11:49:16Z
2018-06-29T15:03:54Z
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CONTRIBUTOR
null
- [+] closes #21561 - [+] tests added / passed - [+] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Add new test case when to_csv argument is sys.stdout
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BUG: first/last lose timezone in groupby with as_index=False
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2018-06-21T12:39:21Z
2018-06-23T22:13:58Z
2018-06-22T23:01:40Z
CONTRIBUTOR
null
- [ ] closes #15884 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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Can set but not get item with tuple index
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2018-06-21T12:58:36Z
2021-06-20T04:55:13Z
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CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd set1 = ['a', 'b', 'c'] set2 = ['1', '2', '3'] set3 = ['test'] tuple_index = [(s1, s2) for s1 in set1 for s2 in set2] df = pd.DataFrame(index=tuple_index, columns=set3) df.loc[('a', '1'), 'test'] = 5 print(df) # Shows a...
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21,575
TST: Change class-based auto-use setup to fixtures
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2018-06-21T14:18:36Z
2018-06-22T20:31:23Z
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CONTRIBUTOR
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In https://github.com/pandas-dev/pandas/pull/19535 we're excluding data test files from the distribution, which required some changes. The hardest tests to update were the IO ones that read in a bunch of files in `setup` and set them as attributes on `self`. In the PR, I changed these setup / teardown methods to ...
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BUG: to_datetime not properly converting tz-aware datetime object
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2018-06-21T17:57:23Z
2018-06-22T20:02:00Z
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#### Code input: ```python from datetime import datetime import pandas as pd import pytz pacific = pytz.timezone("US/Pacific") notz = datetime(2018,1,1,0,0,0,0) withtz = datetime(2018,1,1,0,0,0,0, pacific) notz.strftime('%Y-%m-%d %H:%M:%S') withtz.strftime('%Y-%m-%d %H:%M:%S') pd.to_datetime(notz) p...
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21,577
[Windows bug?] when appending to an already-open file to_csv() treats first data row in dataframe as the header
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2018-06-21T18:11:50Z
2019-02-15T19:36:53Z
2018-07-02T23:28:26Z
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#### TL;DR version to_csv() ignores the header row and instead treats the first line of data as the header when using a file object in write mode to: 1. write a few lines of text to the file, and then 2. use pd.to_csv() to append a dataframe to the file This problem *does* appear on Win7, Win10, and a Mint VM whe...
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BUG: Series dot product __rmatmul__ doesn't allow matrix vector multiplication
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2018-06-21T19:52:07Z
2018-06-23T07:34:47Z
2018-06-22T22:59:28Z
CONTRIBUTOR
null
- [x] closes #21530 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry the new `__rmatmul__` implementation in Series seems to be missing matrix vector multiplication case as raised in the issue in question. Only inner product of two vectors was s...
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21,579
DOC: update the Series.any / Dataframe.any docstring
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2018-06-21T19:57:05Z
2018-06-22T10:39:46Z
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CONTRIBUTOR
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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DOC: Note assert_almost_equal impl. detail
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2018-06-21T21:26:38Z
2018-06-22T16:52:08Z
2018-06-22T10:21:14Z
MEMBER
null
Note the hard-coded switch between absolute and relative tolerance during checking. Closes #21528.
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21,581
BUG: __rmatmul__ error handling
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2018-06-21T21:41:56Z
2020-10-02T21:12:36Z
2020-10-02T21:12:36Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible when ```dataframe.__rmatmul__``` is triggered, the DataFrame.dot is called. However, the error message doesn't seem to align with numpy. ```python import numpy as np from pandas import * a = np.random.rand(10, 4) b = np.random.rand(5, 3) df = DataFram...
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cache DateOffset attrs now that they are immutable
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2018-06-21T23:55:20Z
2018-06-23T00:11:38Z
2018-06-22T22:57:41Z
MEMBER
null
TL;DR ~6x speedup in `set_index` for `PeriodIndex`-like column. Alright! Now that DateOffset objects are immutable (#21341), we can can start caching stuff. This was pretty much the original motivation that brought me here, so I'm pretty psyched to finally make this happen. The motivating super-slow operation is...
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Support mean() for Timestamps.
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2018-06-22T02:58:59Z
2021-11-16T20:33:46Z
2021-11-16T20:33:46Z
CONTRIBUTOR
null
[Fitting a linear model to Timestamps currently does not work out of the box.](https://stackoverflow.com/questions/50979873/linear-fit-to-pandas-datetime64-values) and pandas does not support the ols function any further. When using e.g. seaborn to make a fit it throws an error. > TypeError: reduction operation 'mea...
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BUG: Let IntervalIndex constructor override inferred closed
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2018-06-22T03:18:36Z
2018-09-24T17:22:59Z
2018-06-27T15:29:17Z
MEMBER
null
- [X] closes #19370 - [X] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [X] whatsnew entry Makes `IntervalIndex` constructor behavior consistent: the `closed` parameter, if specified, takes priority over the inferred `closed`. Comments: - Modified the `intervals_t...
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DOC: Adding clarification on return dtype of to_numeric
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2018-06-22T04:41:15Z
2018-06-22T10:05:59Z
2018-06-22T10:05:46Z
CONTRIBUTOR
null
Specifying the default return types for `to_numeric` in case of no downcast - [x] closes #21551 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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[DOC]: To remove extra `` to match :class: rendering requirements
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2018-06-22T05:16:36Z
2018-06-22T10:07:25Z
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CONTRIBUTOR
null
Removing extra `` to solve rendering issues - [x] xref #21564 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry @TomAugspurger , I am not really much acquainted to :class: reference. Do tell me If I am wrong in the inference of the issue. I gu...
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timeseries KeyError
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2018-06-22T09:56:00Z
2018-06-22T09:55:39Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python ts = pd.DataFrame({'date': pd.date_range(start = '1/1/2017', periods = 5), 'observations': range(10, 60, 10)}).set_index('date') ``` `print(ts['2017-01-02':'2017-01-04'])` ``` observations date ...
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334,759,495
MDExOlB1bGxSZXF1ZXN0MTk2NjQ3MjI3
21,588
TST: Use int fixtures in test_construction.py
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2
2018-06-22T06:20:34Z
2018-06-22T10:01:35Z
2018-06-22T09:58:41Z
MEMBER
null
Title is self-explanatory. Partially addresses #21500.
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334,766,454
MDExOlB1bGxSZXF1ZXN0MTk2NjUyNDcy
21,589
clarifying regex pipe behavior
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2
2018-06-22T06:55:14Z
2018-06-22T10:11:26Z
2018-06-22T10:11:21Z
CONTRIBUTOR
null
[Current documentation for `pandas.Series.str.contains()`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.contains.html) states that the `|` acts as a regex **and** operator ("Returning ‘house’ and ‘parrot’ within same string."), while I believe it is actually an **or** operator. I've updated ...
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334,781,243
MDExOlB1bGxSZXF1ZXN0MTk2NjYzMjgw
21,590
API/REGR: (re-)allow neg/pos unary operation on object dtype
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15
2018-06-22T07:54:40Z
2018-07-02T15:43:33Z
2018-06-29T00:38:40Z
MEMBER
null
closes #21380 This is an easy fix to simply be more forgiveable and just try the operation: - For object dtype, this is IMO the better way: simply let the scalar values decide if it can do those operations or not. The scalar values (eg strings) already raise an informative error message. Eg for a series with ...
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334,791,281
MDExOlB1bGxSZXF1ZXN0MTk2NjcwNzk3
21,591
TST: Clean up tests in test_take.py
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2
2018-06-22T08:30:45Z
2018-06-22T16:52:39Z
2018-06-22T16:52:21Z
MEMBER
null
Utilizes `pytest` fixtures to cleanup the code significantly. Initially thought this could be a good place for #21500, but that didn't turn out to be the case. 🤷‍♂️
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334,799,970
MDU6SXNzdWUzMzQ3OTk5NzA=
21,592
DataFrame.plot returns/accepts one axis when using secondary_y
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1
2018-06-22T08:59:16Z
2021-06-20T04:56:15Z
null
NONE
null
#### Code Sample ```python z = pandas.DataFrame(numpy.random.rand(10,2), columns=['a','b']) axes1 = z.plot(secondary_y='a') axes2 = axes1.get_figure().get_axes() z.plot(secondary_y='b', ax=axes2) ``` #### Problem description ```axes1``` is the left axis, instead of both the left and right axes (like ```axes...
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334,802,094
MDU6SXNzdWUzMzQ4MDIwOTQ=
21,593
.ix[int_number] falls back to positional indexing with MultiIndex with integers on first level
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0
2018-06-22T09:05:55Z
2018-06-25T22:29:58Z
2018-06-25T22:29:58Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible ```python In [2]: pd.Series(range(10), index=range(10, 20)).ix[5] [...] KeyError: 5 In [3]: pd.Series(range(10), index=pd.MultiIndex.from_product([range(10, 20), [1]])).loc[5] [...] KeyError: 'the label [5] is not in the [index]' In [4]: pd.Series(rang...
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334,830,699
MDExOlB1bGxSZXF1ZXN0MTk2NzAxNDIx
21,594
PERF: do not check for label presence preventively
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3
2018-06-22T10:37:22Z
2018-07-08T08:22:46Z
2018-06-25T22:29:58Z
MEMBER
null
- [x] closes #21593 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry ASV run: ``` before after ratio [f1ffc5fa] [0af738b0] - 433±7μs 390±5μs 0.90 indexing.MultiIndexing.time_series_i...
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334,895,318
MDExOlB1bGxSZXF1ZXN0MTk2NzUxOTIy
21,595
TST: Add interval closed fixture to top-level conftest
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2
2018-06-22T14:18:40Z
2018-09-24T17:22:53Z
2018-06-22T22:45:27Z
MEMBER
null
Noticed identical copies of this fixture in multiple places, so seemed reasonable to dedupe and move to the top-level `conftest.py`. I think I removed all instances of such a fixture/parametrize being used, but could have missed one. I imagine this fixture will be used in more places in the future when interval relat...
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334,975,526
MDU6SXNzdWUzMzQ5NzU1MjY=
21,596
Duplicate NaNs when using set() to a Pandas series
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1
2018-06-22T18:26:01Z
2018-06-22T18:57:08Z
2018-06-22T18:56:53Z
NONE
null
#### Code Sample ```python import numpy as np import pandas as pd S = pd.Series([np.nan,1.5,np.nan,2,np.nan,np.nan,np.nan,1,1,2,2,2,3]) print S; print; print set(S) ``` #### Problem description The NaNs show up multiple times in set(S), which is not a problem if ```python S = [np.nan,1.5,np.nan,2,np.nan...
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MDU6SXNzdWUzMzQ5ODEwNjQ=
21,597
Support axis=None in all reductions
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2018-06-22T18:45:21Z
2021-06-20T04:58:28Z
null
CONTRIBUTOR
null
https://github.com/pandas-dev/pandas/pull/21486 is implementing support for `axis=None` for compatibility with NumPy 1.15's `all` / `any`. The basic idea is to have `df.op(axis=None)` be the same as `np.op(df, axis=None)` for reductions like `sum`, `mean`, etc. Getting there poses a backwards-compatibility challe...
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21,598
In-place DataFrame.reindex
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2018-06-22T18:55:43Z
2019-03-05T11:52:56Z
2018-06-22T20:42:30Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python df=DataFrame([[1,2],[3,4]], index=list('cd')) df.reindex(list('dc'), copy=False) > 0 1 d 3 4 c 1 2 df.index > Index(['c', 'd'], dtype='object') ``` #### Problem description The index is not re-ordered. #### Expected Output ...
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21,599
DOC: Change release and whatsnew
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2018-06-22T20:12:12Z
2018-11-15T13:14:00Z
2018-11-14T21:09:47Z
CONTRIBUTOR
null
Some cleanup & changes to facilitate release automation * We will include the correct (latest on master or maintenance branch) whatsnew directly in the index.rst toctree * Contributors are included in the whatsnew for each version (automatically) * Removed release.rst * Added new releases.rst which has toctree...
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TST: Refactor test_maybe_match_name and test_hash_pandas_object
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2018-06-22T21:49:22Z
2018-06-26T08:26:31Z
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CONTRIBUTOR
null
- [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Updating fork
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2018-06-23T00:38:22Z
2018-06-23T00:43:41Z
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CONTRIBUTOR
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- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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TST: Use multiple instances of parametrize instead of product in tests
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2018-06-23T00:39:55Z
2018-06-23T11:28:20Z
2018-06-23T11:27:59Z
MEMBER
null
- All instances `product` being used inside a `@pytest.mark.parametrize` have been converted to separate instances of `@pytest.mark.parametrize` - Extracted `product` from within tests where it was straightforward - There are still multiple instances of `product` being used within tests for looping purporses - ...
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BUG: groupby.first/last loses timezone information followup
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2018-06-23T02:28:46Z
2019-02-28T17:38:48Z
2019-02-28T17:38:48Z
MEMBER
null
xref https://github.com/pandas-dev/pandas/pull/21573#discussion_r197425013 ``` In [2]: df = pd.DataFrame({'group': [1, 1, 2], 'category_string': pd.Series(list('abc')).astype('category'), 'datetimetz': pd.date_range('20130101', periods=3, tz='US/Eastern')}) In ...
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CI: Test against Python 3.7
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2018-06-23T02:54:14Z
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CONTRIBUTOR
null
- [x] closes #20552 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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json_normalize throws `TypeError` with list `record_path`
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2018-06-23T03:29:53Z
2018-12-13T18:22:17Z
2018-12-13T18:22:17Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python from pandas.io.json import json_normalize json_normalize({'A': {'B': [{'X': 1, 'Y': 2}, {'X': 3, 'Y': 4}]}}, ['A', 'B']) ``` Note: change from `json_normalize({'A': {'B': [1, 2]}}, ['A', 'B'])` to distinguish from #21608 #### Problem descripti...
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More speedups for Period comparisons
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Following #21582, the biggest avoidable overheads in Period comparisons are in a) `isinstance` calls that can be short-circuited and b) `__ne__` call overhead. This PR moves `__eq__` and `__ne__` to the cython file, removing the `__ne__` overhead, and changes an `isinstance` check to a try/except. Using the same pr...
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https://api.github.com/repos/pandas-dev/pandas/issues/21607
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BUG: Fix `json_normalize` when calling with list `record_path` (#21605)
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2018-06-23T04:10:50Z
2018-10-11T01:53:11Z
2018-10-11T01:53:11Z
CONTRIBUTOR
null
This PR fixes the bug that caused `json_normalize` to throw `TypeError` when calling with a list `record_path`. - [x] closes #21605 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/21608
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21,608
json_normalize throws `AttributeError` when calling with array of values
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2018-06-23T09:48:13Z
2018-10-18T10:01:51Z
2018-10-18T10:01:51Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible xref #21605 ```python from pandas.io.json import json_normalize json_normalize([1, 2]) ``` #### Problem description The above code throws `AttributeError`: ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\P...
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21,609
df.groupby(.).plot.scatter() creates a spurious initial plot
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2018-06-23T10:09:22Z
2019-08-10T14:31:16Z
2019-08-10T14:31:16Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible ```python df = pd.DataFrame([[1, 2], [3, 4], [5, 6], [7, 8]], columns=['x', 'y']) df['cat'] = [1, 1, 1, 1] df.groupby('cat').plot.scatter(x='x', y='y') ``` #### Problem description The above creates 2 plots rather than one (notice there is only one cate...
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21,610
dtype changed when DataFrame add DateOffset
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2018-06-23T12:45:42Z
2018-08-14T10:49:11Z
2018-08-14T10:49:11Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python pd.DataFrame([pd.to_datetime('2018')]).dtypes # 0 datetime64[ns] # dtype: object (pd.DataFrame([pd.to_datetime('2018')]) + pd.DateOffset(years=1)).dtypes # 0 object # dtype: object ``` #### Problem description `Timestamp` + `DateOffset` =...
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BUG: Fix json_normalize throwing AttributeError (#21608)
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2018-06-23T13:36:27Z
2018-10-11T01:52:56Z
2018-10-11T01:52:56Z
CONTRIBUTOR
null
This PR fixes the bug in `json_normalize` that causes it to throw `AttributeError` when flattening an array of values. - [ ] closes #21608 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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