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12,504
BUG: Fixed grow_buffer to grow when capacity is reached
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2016-03-01T16:59:03Z
2016-03-03T22:21:48Z
2016-03-03T21:55:35Z
MEMBER
null
Addresses issue in #12494 by allowing `grow_buffer` to grow the size of the parser buffer when buffer capacity is achieved. Previously, you had to exceed capacity for this to occur, but that was inconsistent with the `end_field` check later on when handling the EOF terminator, where reached capacity was considered a b...
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12,505
CLN: Removed pandas.util.testing.choice
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2016-03-02T00:44:41Z
2016-03-03T14:43:57Z
2016-03-02T12:46:00Z
CONTRIBUTOR
null
- [x] closes #12386 - [x] tests passed - [x] whatsnew entry Removed pandas.util.testing.choice() method. Replaced all references to it with calls to np.random.choice(). Added entry to whatsnew. #12386
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12,506
BUG: Respect usecols even with empty data
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2016-03-02T01:45:47Z
2016-04-13T01:32:13Z
2016-04-13T01:30:28Z
MEMBER
null
closes #12493 in which the `usecols` argument was not being respected for empty data. This is because no filtering was applied when the first (and only) chunk was being read.
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12,507
read_excel allows invalid kwargs
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2
2016-03-02T02:43:31Z
2016-03-02T12:36:03Z
2016-03-02T12:35:29Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` python import pandas as pd pd.show_versions() df = pd.DataFrame({'a':['01','02','03','04'], 'b':[5,6,7,8]}) df df.dtypes df.to_excel('tmp.xlsx') df.to_csv('tmp.csv') # Load without specifying dtypes or converter loaded_df1 = pd.read_excel('tmp.xlsx') loaded_df...
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12,508
DOC: add IndexSlice docstring + add to api docs
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2016-03-02T09:36:25Z
2017-03-09T12:06:13Z
2017-03-09T12:05:47Z
NONE
null
Hello Developers, I could not find any information about "Pandas.IndexSlice" function in API Reference.There is only one example at this [link](http://pandas.pydata.org/pandas-docs/stable/advanced.html#advanced-mi-slicers) . I want to filter the pivot table as in Excel.But i am confused to using between loc(slice(.....
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12,509
append a categorical with different categories to the existing
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3
2016-03-02T11:21:17Z
2019-10-21T19:52:15Z
null
NONE
null
I just ran into the same problem as the person asking this question on SO http://stackoverflow.com/questions/29709918/pandas-and-category-replacement [Jeff](http://stackoverflow.com/users/644898/jeff) gave an excellent answer as usual, I believe he is a pandas developer as well? So I was wondering whether something...
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TypeError when importing pandas in Google Cloud VM
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2
2016-03-02T12:49:48Z
2016-03-02T13:11:10Z
2016-03-02T12:59:46Z
NONE
null
This is using a fresh install of Anaconda in an Ubuntu 15.10 based Google Cloud VM. At first glance it seemed to relate to difficulties getting console encoding (see `from pandas.core.format import detect_console_encoding` below)? ``` python import pandas -------------------------------------------------------------...
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12,511
COMPAT: blacklist numexpr=2.4.4
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2016-03-02T13:37:13Z
2016-03-03T12:11:02Z
2016-03-03T12:11:02Z
CONTRIBUTOR
null
close #12489 xref #11915
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BUG: Fix parse_dates processing with usecols and C engine
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2016-03-02T15:14:52Z
2016-04-06T19:29:40Z
2016-04-06T19:17:26Z
MEMBER
null
closes #9755 closes #12678 Continuing on my conquest of `read_csv` bugs, this PR fixes a bug brought up in #9755 in processing `parse_dates` with the C engine in which the wrong indices (those of the filtered column names) were being used to determine the date columns to not be dtype-parsed by the C engine. The corr...
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137,920,890
MDU6SXNzdWUxMzc5MjA4OTA=
12,513
BUG: DataFrame constructor raises error if specify tz dtype `dtype='datetime64[ns, UTC]'`
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13
2016-03-02T16:19:56Z
2021-05-17T22:50:26Z
2020-01-01T16:28:29Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ``` Python import pandas as pd import numpy as np array_dim2 = np.arange(10).reshape((5, 2)) df = pd.DataFrame(array_dim2 , dtype='datetime64[ns, UTC]') # doesn't work ``` The error: ``` Python TypeError Traceback (most recent call...
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https://api.github.com/repos/pandas-dev/pandas/issues/12514
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137,934,491
MDExOlB1bGxSZXF1ZXN0NjE0MzM3NTU=
12,514
Add a UK England and Wales holiday calendar
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2
2016-03-02T17:13:07Z
2016-03-03T02:13:20Z
2016-03-03T02:13:09Z
NONE
null
The rules are described at: https://en.wikipedia.org/wiki/Public_holidays_in_the_United_Kingdom#England.2C_Northern_Ireland_and_Wales Sample data used to check those rules (which is also included in tests) is from the government's website: https://www.gov.uk/bank-holidays
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https://api.github.com/repos/pandas-dev/pandas/issues/12515
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138,015,702
MDU6SXNzdWUxMzgwMTU3MDI=
12,515
Impossible to (neatly) z-score a Series
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14
2016-03-02T22:42:42Z
2016-03-03T22:34:27Z
2016-03-03T02:00:39Z
CONTRIBUTOR
null
z-scoring (centering a variable at its mean and dividing by its standard deviation) is a common statistical operation. However, it ends up being rather hard to do if one's data is represented by a pandas `Series` object. There's a few things one might think of to try. The `scipy.stats` module has a `zscore` function, ...
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https://api.github.com/repos/pandas-dev/pandas/issues/12516
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138,023,646
MDU6SXNzdWUxMzgwMjM2NDY=
12,516
Bug: In pandas.util.testing.assert_almost_equal with regards to datetime64 values
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1
2016-03-02T23:17:42Z
2016-03-03T02:12:39Z
2016-03-03T02:12:27Z
NONE
null
#### Code Sample, a copy-pasteable example if possible ``` python from dateutil.parser import parse from datetime import datetime import numpy as np import pandas as pd import pandas.util.testing test_data = pd.DataFrame({ '_18_months_eo': np.array([0.05, 0.06, 0.12, 0.15], dtype='float64'), '_pct_dlq': np.ar...
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138,057,259
MDExOlB1bGxSZXF1ZXN0NjE1MDI1MjY=
12,517
TST: Fix NOQA for flake8 checking in datetools.py
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3
2016-03-03T02:40:30Z
2016-03-03T03:05:22Z
2016-03-03T02:55:40Z
MEMBER
null
Recent changes to pyflakes (see <a href="https://github.com/pyflakes/pyflakes/blob/0532189b34086740d7fe553bd87c0a6cf682a93b/pyflakes/checker.py#L544-L546">here</a>) suddenly started raising errors in `datetools.py` due to the star imports at the top, which the `#noqa` was not preventing. The correct syntax is `# flake8...
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https://api.github.com/repos/pandas-dev/pandas/issues/12518
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138,111,470
MDU6SXNzdWUxMzgxMTE0NzA=
12,518
read_csv not respecting MultiIndex names
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6
2016-03-03T08:33:20Z
2016-03-03T23:05:49Z
2016-03-03T12:23:04Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible ``` In [2]: pd.read_csv('/tmp/csv.csv', header=None) Out[2]: 0 1 2 0 0 2 2 1 1 2 2 2 2 2 2 In [3]: mi = pd.MultiIndex.from_tuples([(1,2), (3,4)], names=['l1', 'l2']) In [4]: pd.read_csv('/tmp/csv.csv', header=None, names=mi) Out[4]: 1 3 2 ...
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138,174,318
MDU6SXNzdWUxMzgxNzQzMTg=
12,519
Read CSV error_bad_lines does not error for too many values in first data row
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4
2016-03-03T13:13:37Z
2019-10-21T19:52:15Z
null
NONE
null
Hi, I would like to report an unexpected behaviour connected with option error_bad_lines (I just reference this for make it easier to find this bug if someone was to report the same). Given the following two CSV files: simple.csv ``` Col1,Col2 4,Here 5,7,Invalid 8,Row 9,Does 10,Break ``` simple2.csv ``` Col1,Col2 5...
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138,262,521
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12,520
ENH: add .dropinf() and/or .dropna(drop_inf=True) methods
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8
2016-03-03T18:39:47Z
2021-08-09T02:11:55Z
null
NONE
null
There are known ways of droping inf and nan (.replace(np.inf, np.nan).dropna()) but still, the API could be expanded: ``` .dropinf(inplace=False) .dropna(drop_inf = False) ``` Are both self explanatory wishes and it is no stretch to see how they are usefull. Note for instance that today's API does not provide a on...
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138,265,677
MDU6SXNzdWUxMzgyNjU2Nzc=
12,521
DOC: Include unrendered style notebook in git, execute in build
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3
2016-03-03T18:52:39Z
2016-06-23T12:47:22Z
2016-06-23T12:47:22Z
CONTRIBUTOR
null
Did this for statsmodels the other week, works pretty well. Something like ``` bash jupyter nbconvert --ExecutePreprocessor.timeout=600 --to html --execute style.ipynb ``` https://nbconvert.readthedocs.org/en/latest/execute_api.html
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12,522
DOC: Examples of monotonic/non-monotonic label-based indexing
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2016-03-03T23:46:57Z
2016-04-17T16:03:39Z
2016-04-17T16:03:30Z
CONTRIBUTOR
null
Just ran into this gotcha and almost filed it as a bug report. Added a few examples to fill in the section header.
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MDExOlB1bGxSZXF1ZXN0NjE3MDg1MTQ=
12,523
Fix typo
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2016-03-04T12:56:59Z
2017-09-03T11:47:50Z
2016-03-05T18:02:40Z
CONTRIBUTOR
null
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138,483,758
MDExOlB1bGxSZXF1ZXN0NjE3MTU1NzY=
12,524
Revert #12260 "BUG: Make Styler ignore None index names to match to_html..."
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2016-03-04T14:04:13Z
2016-03-05T02:12:19Z
2016-03-05T02:12:19Z
CONTRIBUTOR
null
Master started failing on https://github.com/pydata/pandas/pull/12260 [travis](https://travis-ci.org/pydata/pandas/builds/113480877). Not entirely sure why yet, but was able to reproduce one of the failures locally, and fix it with the revert.
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12,525
TST: Rework style test skip
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2016-03-04T15:22:30Z
2016-03-05T15:13:14Z
2016-03-05T15:13:14Z
CONTRIBUTOR
null
Also redoes some of the changes that were inadvertently reverted in https://github.com/pydata/pandas/pull/12260. That PR had two commits, one of which was an older version of what was eventually merged in https://github.com/pydata/pandas/pull/12162. The stale commit incorrectly merged was a15248ae7. It should have be...
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12,526
BUG: Add exception when different number of fields present in file lines
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2016-03-04T15:50:49Z
2016-05-07T17:48:56Z
2016-05-07T17:48:56Z
NONE
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Addresses issue in #12519 by raising exception when 'filepath_or_buffer' in 'read_csv' contains different number of fields in input lines. However, according to tests the behaviour reported in bug is expected (lines 376-390): https://github.com/pydata/pandas/blob/master/pandas/io/tests/test_cparser.py#L376 So should ...
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12,527
When .loc returns IndexError rather than KeyError
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2016-03-04T17:33:44Z
2016-04-20T00:04:17Z
2016-04-20T00:04:17Z
NONE
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#### Updated I have a MultiIndex'd DataFrame that returns a KeyError for one integer and an IndexError for a different integer, neither integer is in the first level of the index. This only occurs when attempting to access a scalar value, a slice always give KeyError. The behavior does not occur on a cut down version ...
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138,562,057
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12,528
Value assignment by iloc overwrites multiple concat columns
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2016-03-04T19:20:42Z
2016-03-04T21:37:23Z
2016-03-04T21:34:33Z
NONE
null
Suppose we wish to concatenate two dataframes with the same name. Because the columns share the same name, loc will not distinguish them. So we use iloc to manipulate them individually. ``` python import pandas as pd,numpy as np df0=pd.DataFrame(np.arange(10)) df1=pd.DataFrame(np.arange(10,20)) #1) Wrong df2=pd.concat...
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12,529
to_clipboard is no longer Excel compatible
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2016-03-05T00:06:02Z
2016-11-18T22:43:29Z
2016-11-18T22:42:37Z
NONE
null
Using pandas-0.18.0rc1-cp27-cp27m-win_amd64.whl from Christoh Gohlkes site: ``` import pandas as pd df = pd.DataFrame({u'a':[1,2], u'degC_°C':[3,4]}) df.to_clipboard() df.to_clipboard(excel=True, sep='\t') df.to_clipboard(excel=False, sep='\t') df.to_clipboard(sep=',') ``` Always gives the same content in the clipboa...
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12,530
ENH: Partial string matching for timestamps with multiindex
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2016-03-05T04:24:30Z
2016-03-21T12:27:56Z
2016-03-21T12:27:56Z
CONTRIBUTOR
null
- [x] closes #10331 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Includes implementation, unit tests, documentation fixes and whatsnew.
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BUG: CategoricalIndex.get_loc returns array even if it is unique
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2016-03-05T14:29:49Z
2016-03-15T13:39:29Z
2016-03-15T13:39:17Z
MEMBER
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- [x] related to #11558 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Made `CategoricalIndex.get_loc` to return the same result as normal `Index`. ``` data2 = pd.DataFrame([[1,2,3],[3,4,5]], index=pd.Categorical(['one', 'two'])) # in current master, it return...
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BUG: Series.map may raise TypeError in Categorical or DatetimeTz
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2016-03-05T15:07:41Z
2016-04-18T17:17:48Z
2016-04-18T17:17:44Z
MEMBER
null
- [x] closes #12473 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Needs to decide what categorical dtype `map` should return. Even though `apply` returns `object` dtype, but returning `category` is more consistent?
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138,692,408
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12,533
Allow .where to accept callable as condition
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2016-03-05T15:45:26Z
2016-04-29T17:05:48Z
2016-04-29T17:05:48Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible Allow `.where` and `.mask` to accept `callable` as cond. This is useful if `DataFrame` is changed during method chaining. ``` df = pd.DataFrame(np.random.randn(2, 2)) df.where(lambda x: x > 0) # currently raises ValueError ``` #### Expected Output Should be the s...
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138,728,398
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12,534
Negative timedeltas for deltas > 292 years
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2016-03-05T22:15:34Z
2018-01-05T00:45:31Z
2018-01-05T00:45:31Z
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#### Code Sample, a copy-pastable example if possible ``` import pandas as pd dates = pd.Series(pd.date_range('1700-01-01', periods=4500, freq='m')) days_delta = (dates-dates.min()).astype('timedelta64[D]') ``` #### Expected Output Should return only positive timedeltas, however for deltas greater than 292 years the ...
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12,535
TST: test_window/Datetimelike adjustments
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2016-03-05T23:55:16Z
2019-07-15T20:20:20Z
2019-07-15T20:20:20Z
CONTRIBUTOR
null
- need to include nans in `Datetimelike`. they work, but need to adjust tests. xref #12376
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12,536
ENH: support timedeltas with window functions
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2016-03-05T23:56:29Z
2020-01-26T06:37:53Z
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CONTRIBUTOR
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xref #4964
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12,537
ENH: window functions need to exclude nuiscance columns
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2016-03-06T00:03:45Z
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CONTRIBUTOR
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xref example in : #13327 ``` In [4]: df = DataFrame({'A' : pd.date_range('20130101',periods=3),'B' : range(3)}) In [5]: df Out[5]: A B 0 2013-01-01 0 1 2013-01-02 1 2 2013-01-03 2 ``` This is a supported op ``` In [7]: df.rolling(window=2).count() Out[7]: A B 0 1.0 1.0 1 2.0 2.0 2 2.0 ...
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138,736,370
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12,538
BUG: window functions count should be an integer dtype
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CONTRIBUTOR
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``` In [1]: df = DataFrame({'A' : pd.date_range('20130101',periods=3),'B' : range(3)}) In [2]: df.rolling(window=2).count() Out[2]: A B 0 1.0 1.0 1 2.0 2.0 2 2.0 2.0 In [3]: df.rolling(window=2).count().dtypes Out[3]: A float64 B float64 dtype: object ```
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ENH: Allow where/mask/Indexers to accept callable
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MEMBER
null
- [x] closes #12533 - [x] closes #11485 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Current impl is very simple like `assign`. Another idea is applying some restriction to return value from `callable` (for example, only allow aligned `DataFrame` or scalar).
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BUG: Can't get period code with frequency alias 'minute' or 'Minute'
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2016-03-06T02:13:43Z
2016-03-15T14:22:40Z
2016-03-15T14:22:14Z
MEMBER
null
- [x] closes #11854 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Also, added `NS` to normal alias not to show warnings (as the same as `MS` and `NS`)
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BUG: window function count should count anything non-null
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2016-03-06T15:56:09Z
2017-01-24T18:02:16Z
2017-01-24T18:02:16Z
CONTRIBUTOR
null
Right now `np.Inf` and non-numeric types are not counted. #### Code Sample, a copy-pastable example if possible ``` import pandas as pd import numpy as np from pandas import DataFrame df = DataFrame({'A': pd.date_range('20130101',periods=4), 'B': [0, 1, 2, np.Inf], 'C':['a', 'b', 'c', 'd']}) roll = df.rolling(windo...
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138,806,478
MDU6SXNzdWUxMzg4MDY0Nzg=
12,542
Do pandas support a supervised binning?
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1
2016-03-06T16:16:46Z
2016-03-06T21:32:23Z
2016-03-06T21:32:23Z
NONE
null
i want use qcut() to process my data?but i don't want to direct to binning by width. so i want use a supervised binning.such as Entropy-bor based Binning.or can you tell another package for this? thank you?
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138,814,924
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12,543
BLD: Math not rendered in Travis-built docs
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2016-03-06T17:40:02Z
2016-03-06T22:45:52Z
2016-03-06T22:42:23Z
CONTRIBUTOR
null
Travis-built docs do not appear to have math rendered correctly. See https://pandas-docs.github.io/pandas-docs-travis/computation.html#exponentially-weighted-windows for one example.
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12,544
BLD: Install texlive packages in Travis CI
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2016-03-06T20:37:22Z
2016-03-08T18:34:29Z
2016-03-06T22:42:23Z
CONTRIBUTOR
null
- Closes #12543 - `texlive-latex-base` needed for `latex` - `texlive-latex-extra` needed for `utf8x.def`
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12,545
DOC: fix doc build warnings
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2016-03-06T21:22:53Z
2016-03-08T18:33:52Z
2016-03-08T14:26:14Z
CONTRIBUTOR
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12,546
read_csv with iterator=True and engine = "python" -> error in `if self.usecols`
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2016-03-06T22:08:30Z
2016-08-21T14:17:47Z
2016-08-21T14:17:47Z
NONE
null
#### Code Sample, a copy-pastable example if possible Following example returns error if run with `engine = "python"`: ``` ite = pd.read_csv(infile, sep = '\t', index_col = False, # dtype=pd.np.float32, na_filter=False,low_memory=False, usecols = pd.np.arange(nindexcolumns, ncol), ...
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(WIP)ENH: plot now supports cycler
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17
2016-03-06T22:20:43Z
2017-05-08T09:42:56Z
2017-05-06T23:19:52Z
MEMBER
null
- [x] closes #12354 - [ ] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry - [ ] plotting no try to use `cycler` regardless of mpl version (previously tried if mpl >= 1.5) - [ ] bug in area plot kwds handling ## Cyclic option handling Allows to accept some option (c...
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12,548
CLN: Cleanup plotting submodule
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2
2016-03-06T22:38:14Z
2017-04-15T16:02:38Z
2017-04-15T16:02:25Z
MEMBER
null
- Make `plotting` as subpackage - Split utility functions / non- `MPLPlot` classes to other files. - Move tests under `plotting/*` - Add small unit tests to guarantee utility function APIs. - Refactor `MPLPlot` class properties. Because `MPLPlot` now has lots of properties, split them to `FigureProperties` and `Ax...
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12,549
TST: Add more period tests
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2016-03-06T23:45:36Z
2020-11-01T22:12:55Z
2016-03-07T15:11:06Z
MEMBER
null
- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - Added some `Period` related tests in preparation to add period dtype. - Moved some tests `test_timeseries` to correct test class.
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138,873,600
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12,550
Equivalent of Series.map for DataFrame
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5
2016-03-07T03:04:32Z
2020-02-27T21:42:39Z
2020-02-27T21:42:39Z
NONE
null
I think there should be a way to take a DataFrame and use the values in its columns as indices into a MultiIndexed Series. Here is an example: ``` >>> d = pandas.DataFrame({"Let": ["A", "B", "C"], "Num": [1, 2, 3]}) >>> d Let Num 0 A 1 1 B 2 2 C 3 >>> ser = pandas.Series( ... ['a', 'b', 'c', 'd'...
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12,551
BUG: Respect 'usecols' parameter even when CSV rows are uneven
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2016-03-07T10:28:42Z
2016-03-20T15:10:13Z
2016-03-20T15:10:03Z
MEMBER
null
Closes #12203 by overriding the row alignment checks for both engines when the `usecols` parameter is passed into `read_csv`.
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12,552
Interpolate (upsample) non-equispaced timeseries into equispaced 18.0rc1
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2016-03-07T12:16:03Z
2021-04-23T01:15:15Z
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I want to interpolate (upscale) nonequispaced time-series to obtain equispaced time-series. Currently I am doing it in following way: 1. take original timeseries. 2. create new timeseries with NaN values at each 30 seconds intervals ( using resample('30S').asfreq() ) 3. concat original timeseries and new timeseries 4...
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12,553
SeriesGroupby.nunique raises an IndexError on empty Series
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2016-03-07T14:58:17Z
2016-12-04T17:42:07Z
2016-12-04T17:42:07Z
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#### Code Sample, a copy-pastable example if possible ``` python In [18]: b = pandas.Series() In [19]: g = b.groupby(level = 0) In [20]: g.nunique() --------------------------------------------------------------------------- IndexError Traceback (most recent call last) <ipython-input-2...
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12,554
to_json raises 'Unhandled numpy dtype 15' with complex values.
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2016-03-07T17:18:17Z
2016-04-27T14:28:37Z
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#### Code Sample, a copy-pastable example if possible import pandas df = pandas.DataFrame({'a': [complex(3, -1)]}) df.to_json() #### Expected Output '{"a":{"0":3-1j}}' #### Actual output: ``` --------------------------------------------------------------------------- RuntimeError Traceba...
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12,555
Added pandas logo and separator
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2016-03-07T17:25:53Z
2016-03-07T17:30:36Z
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CONTRIBUTOR
null
- Added pandas logo and separator at the top of page
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12,556
multiplication of long Series returns garbled results
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2016-03-07T18:26:47Z
2016-03-07T18:38:07Z
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#### Code Sample, a copy-pastable example if possible ``` import numpy as np import pandas as pd num_tries = 1000 length = 100000 for i in range(num_tries): df = pd.DataFrame({"A" : 100000 * (200 + np.random.random(length)), "B" : 100000 * (200 + np.random.random(length))}) df['A*B'] = d...
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12,557
BUG: Fix for issue #12553
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2016-03-07T19:16:34Z
2016-03-08T13:14:29Z
2016-03-08T08:43:56Z
NONE
null
closes #12553
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12,558
BUG?: value_counts(normalize=True) normalizes over all observations including NaN.
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2016-03-08T03:42:59Z
2016-03-12T17:46:32Z
2016-03-12T17:46:32Z
CONTRIBUTOR
null
By default, `value_counts` ignores missing values. To get them displayed, one must add the option `dropna=False`. But when one normalizes, they are entering into the denominator even when `dropna=True`. #### Code Sample, a copy-pastable example if possible ``` s = pd.Series([1,2,3,np.nan, np.nan, np.nan]) s.value_cou...
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12,559
do not upcast results to float64 when float32 scalar *+/- float64 array
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2016-03-08T07:36:45Z
2016-05-30T14:39:39Z
2016-05-30T14:39:34Z
CONTRIBUTOR
null
- [x] closes #12388 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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BUG: SeriesGroupby.nunique raises an IndexError on empty Series #12553
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2016-03-08T08:48:49Z
2016-12-16T23:57:36Z
2016-12-16T23:57:36Z
NONE
null
Closes #12553 xref #13239 Made a new pull request to clean up from #12557
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12,561
CI: fix appveyor to use fixed versioning
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1
2016-03-08T17:43:06Z
2016-03-08T18:19:34Z
2016-03-08T18:19:34Z
CONTRIBUTOR
null
since the GIT_\* env variables are not available
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139,378,774
MDU6SXNzdWUxMzkzNzg3NzQ=
12,562
PERF: use lib.write_csv_rows for encoded data when writing to csv
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1
2016-03-08T20:01:50Z
2019-10-21T19:34:17Z
null
CONTRIBUTOR
null
right now we take a different path for encoded input, and the encoded input is basically a python writer, while non-encoded input writes per-block and is done via cython. Ideally could fold the encoded writer into the current writer.
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139,384,269
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12,563
Update asv config + fix some broken benchmarks
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2016-03-08T20:23:58Z
2016-04-25T15:07:16Z
2016-04-25T14:53:27Z
CONTRIBUTOR
null
- Enable platform-dependent config in asv (needs asv git version for it to do something) - Enable wheel cache in asv (in asv git version) - Fix a few easily fixed broken benchmarks
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139,413,351
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12,564
Categorical equality check raises ValueError in DataFrame
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2016-03-08T22:29:11Z
2016-04-03T14:06:00Z
2016-04-03T14:06:00Z
CONTRIBUTOR
null
Apparently there's an issue when comparing the equality of a scalar value against a categorical column as part of a DataFrame. In the example below, I'm checking against `-np.inf`, but comparing to a string or integer gives the same results. This raises `ValueError: Wrong number of dimensions`. #### Code Sample ``` p...
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12,565
BUG?: secondary_y is unaltered by fontsize parameter
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2
2016-03-09T00:01:38Z
2017-07-15T23:13:49Z
2017-07-15T23:13:49Z
NONE
null
Hi, I have found that fontsize is ignored on the secondary_y axis in DataFrame.plot in version 17.1. Is this by intention? (Apologies, if this is the wrong place to ask this or if it has already been asked as I was unable to find it.) Thanks! Example: ``` python >>> import pandas as pd, numpy as np, matplotlib.py...
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12,566
BUG: GH12558 where nulls contributed to normalized value_counts
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2016-03-09T00:29:03Z
2016-03-12T17:46:56Z
2016-03-12T17:46:32Z
CONTRIBUTOR
null
- [x] closes #12558 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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CI: add osx to travis, xref #8630
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2016-03-09T01:33:57Z
2016-03-09T15:23:57Z
2016-03-09T14:37:31Z
CONTRIBUTOR
null
CI: remove numpy_dev 2.7 build CI: remove extraneous requirements
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12,568
TST: nicer output from pd.test()
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2016-03-09T01:34:48Z
2016-03-09T02:48:37Z
2016-03-09T02:48:37Z
CONTRIBUTOR
null
TST: skip result2 test in computation/test_eval.py as unreliable TST: skip some unreliable tests in io/tests/test_data.py
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12,569
ENH: Add normalize to crosstab
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2016-03-09T06:25:36Z
2016-04-25T14:34:14Z
2016-04-25T14:34:14Z
CONTRIBUTOR
null
It'd be great to have a simple `normalization` option for cross tab to get shares rather than frequencies. Something that would do something like: ``` def normalize(x): return len(x)/len(w_mobile.language) pd.crosstab(w_mobile.language,w_mobile.carrier, values=w_mobile.language, aggfunc=normalize) ``` as just a...
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12,570
read_msgpack can't parse categorical data
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2016-03-09T15:16:27Z
2016-03-09T15:20:55Z
2016-03-09T15:18:59Z
CONTRIBUTOR
null
#### A copy-pastable code sample ``` python import pandas c = pandas.Categorical(["A", "B", "C", "D"], categories=["A", "B", "C", "D"]) df = pandas.DataFrame({"x": c}) bytes = df.to_msgpack() pandas.read_msgpack(bytes) ``` #### What happens ``` pytb <ipython-input-1-ec1dc8306f4c> in <module>() 1 import pandas ...
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139,619,806
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12,571
Panel.to_json NotImplemented but documented
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2016-03-09T16:05:08Z
2016-03-10T12:49:01Z
2016-03-10T12:48:49Z
NONE
null
Using pandas 0.17.1 i was trying to use `panel.to_json`, like documented here: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Panel.to_json.html This raises an `NotImplementedError`.
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12,572
SignedJwtAssertionCredentials has been removed from oauth2client version 2.00 breaking read_gbq
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2016-03-09T16:57:09Z
2016-03-11T01:39:04Z
2016-03-11T01:39:04Z
NONE
null
In pandas/io/gbq.py there is the function: `def _test_google_api_imports(): ``` try: import httplib2 # noqa from apiclient.discovery import build # noqa from apiclient.errors import HttpError # noqa from oauth2client.client import AccessTokenRefreshError # noqa from oauth2client.client import ...
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12,573
ENH: allow categoricals in msgpack
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2016-03-09T16:59:14Z
2016-04-25T22:06:59Z
2016-04-25T22:06:37Z
CONTRIBUTOR
null
Supercedes #12191. I've made a best-effort to rebase this against master. It seems to work here.
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12,574
BUG: Series with Categorical and dtype
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2016-03-09T18:12:26Z
2016-03-16T13:59:42Z
2016-03-16T13:59:42Z
CONTRIBUTOR
null
xref https://github.com/pydata/pandas/pull/12573#discussion_r55561598 ``` python In [37]: pd.Series(pd.Categorical([1,2,3]), dtype='category') --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-37-87a1a3...
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12,575
Provide logo as vector graphic
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3
2016-03-09T19:16:28Z
2016-05-17T02:39:21Z
2016-05-17T02:39:21Z
NONE
null
For presentations etc. it would be nice to be able to use the pandas logo in any size. Could you provide it as svg or pdf?
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BUG: value_count(normalize=True, dropna=True) counting missing in denominator, #12558
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2016-03-09T21:41:52Z
2016-03-14T01:20:23Z
2016-03-14T01:20:23Z
CONTRIBUTOR
null
Closes #12558
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12,577
BUG: Crosstab margins ignoring dropna
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2016-03-09T21:57:10Z
2016-03-16T13:17:21Z
2016-03-16T13:17:21Z
CONTRIBUTOR
null
`crosstab` also has a bug -- it counts np.nan in margin totals even when `dropna=True`. Appears independent of #12569 and #4003 ``` df = pd.DataFrame({'a':[1,2,2,2,2,np.nan],'b':[3,3,4,4,4,4]}) pd.crosstab(df.a,df.b, margins=True) Out[233]: b 3 4 All a 1.0 1 0 1 2.0 1 3 4 All 2 4 6 `...
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Add normalization to crosstab
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2016-03-09T21:58:21Z
2016-04-25T14:34:16Z
2016-04-25T14:34:14Z
CONTRIBUTOR
null
Closes #12569 Note does NOT address #12577
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DOC: clean up some doc-build warnings
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Fix #12529 / Improve to_clipboard for objects containing unicode
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12
2016-03-09T23:57:00Z
2016-11-18T09:35:19Z
2016-11-18T09:34:48Z
NONE
null
Superceded by #14599 --- - [x] closes #12529 - [ ] tests added / passed - [ ] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry I added the whatsnew entry to 0.18.0.
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139,750,614
MDExOlB1bGxSZXF1ZXN0NjIzMjM2Nzk=
12,581
DOC: Remove Panel.to_json from docs.
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1
2016-03-10T01:02:58Z
2016-03-10T12:48:56Z
2016-03-10T12:48:49Z
NONE
null
- [DOC] closes #12571 - removed Panel.to_json from docs, as it is not yet implemented.
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139,771,200
MDExOlB1bGxSZXF1ZXN0NjIzMzMzODk=
12,582
Resolve ImportError in read_gbq which appears with oauthclient >= 2.0
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13
2016-03-10T03:12:37Z
2016-03-12T13:53:36Z
2016-03-11T01:39:04Z
CONTRIBUTOR
null
- [x] closes #12572 - [x] tests passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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MDU6SXNzdWUxMzk4MDcxMjA=
12,583
BUG: Unexpected pd.to_datetime result
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2016-03-10T07:13:23Z
2016-08-13T19:55:09Z
2016-08-13T19:55:05Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` pd.to_datetime(["31/12/2014", "10/03/2011"]) Out[37]: DatetimeIndex(['2014-12-31', '2011-10-03'], dtype='datetime64[ns]', freq=None) ``` #### Expected Output ``` DatetimeIndex(['2014-12-31', '2011-03-10'], dtype='datetime64[ns]', freq=None) ``` **_Reason: Exp...
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139,831,492
MDU6SXNzdWUxMzk4MzE0OTI=
12,584
`apply` to multiple columns consumes a lot of memory
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13
2016-03-10T09:25:03Z
2016-03-10T19:42:04Z
2016-03-10T14:02:45Z
NONE
null
I was encouraged to post here after asking a [question on stackoverflow](https://stackoverflow.com/questions/35911319/pandas-apply-into-multiple-columns-consuming-lots-of-memory). #### Code Sample, a copy-pastable example if possible ``` import numpy as np import pandas as pd # placeholder for real function def proce...
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139,848,261
MDU6SXNzdWUxMzk4NDgyNjE=
12,585
Inconsistent date parsing of to_datetime
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32
2016-03-10T10:30:31Z
2021-09-23T17:41:02Z
null
MEMBER
null
As this comes up regularly: - [x] https://github.com/pydata/pandas/issues/12583 - [x] https://github.com/pydata/pandas/issues/12501 - [x] https://github.com/pydata/pandas/issues/7348 - [x] https://github.com/pandas-dev/pandas/issues/15075 - [x] #12611 deal with `yearfirst/datefirst` in `read_csv` - [x] #12730, co...
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139,887,127
MDExOlB1bGxSZXF1ZXN0NjIzOTAwNDI=
12,586
DOC: Fixes LaTeX build error
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2016-03-10T13:36:16Z
2017-04-05T02:06:37Z
2016-03-11T14:33:31Z
CONTRIBUTOR
null
The PDF doc build was chocking on the `Parameters` section being the first item.
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139,893,952
MDU6SXNzdWUxMzk4OTM5NTI=
12,587
CI/BLD: update to conda-build >1.19.0 [win only]
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2
2016-03-10T13:59:17Z
2016-03-11T02:10:06Z
2016-03-11T02:10:06Z
CONTRIBUTOR
null
waiting on breakage in: https://github.com/conda/conda-build/issues/820 to fix the conda-recipe can just use `conda-build=1.19.0` ATM.
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12,588
CLN: hide all imported extensions
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1
2016-03-11T00:55:24Z
2017-04-16T10:44:06Z
2017-04-16T10:44:00Z
CONTRIBUTOR
null
so most of these are in the top-level namespace, so let's rename to use `_` leading if not already like that. e.g. `_lib` rather than `lib` just requires some small changes in `setup.py`, but a fair number of imports need to be changed. This is a slight API change, in that people could be relying upon it. So we _coul...
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12,589
BLD: suppress useless warnings
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12,590
BLD: allow different options for compiler warnings on windows
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2016-03-11T02:11:23Z
2016-03-11T02:22:01Z
2016-03-11T02:22:01Z
CONTRIBUTOR
null
windows doesn't like gcc/clang options, big surprise, so disable for now
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12,591
API: rename Index.sym_diff to Index.symmetric_difference
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2016-03-11T09:58:24Z
2016-03-17T13:48:14Z
2016-03-17T13:48:14Z
CONTRIBUTOR
null
Following builtin `set`, I would expect the method name to be `symmetric_difference`. How about deprecating `sym_diff` in favour of this (see also #6016, #8226)?
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12,592
sum(skipna=True) doesn't handle NAs as per docs
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2016-03-11T10:23:45Z
2016-03-11T14:37:35Z
2016-03-11T14:07:54Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` In [50]: df Out[50]: a b c 0 NaN NaN NaN 1 1 1 1 2 1 NaN NaN In [51]: df['total'] = df[['a', 'b', 'c']].sum(axis=1, skipna=True) In [52]: df Out[52]: a b c total 0 NaN NaN NaN 0 1 1 1 1 3 2 1 NaN NaN 1 In [53...
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12,593
Python Panda - No cell generated
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2016-03-11T13:04:10Z
2016-03-11T14:17:45Z
2016-03-11T14:17:45Z
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#### Code Sample, a copy-pastable example if possible I got no error messages but there are no cell generated after I execute my python script. I'm using EI-Capitan and python 2.7. ``` import pandas as pd import warnings import seaborn as sns import matplotlib.pyplot as plt sns.set(style="white", color_codes=True) ad...
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12,594
API: deprecate Index.sym_diff in favor of symmetric_difference
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2016-03-11T14:09:02Z
2016-03-17T13:48:23Z
2016-03-17T13:48:15Z
CONTRIBUTOR
null
closes #12591
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12,595
Implementing rolling min/max functions that can retain the original type
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19
2016-03-11T15:31:51Z
2016-06-07T12:40:26Z
2016-03-17T15:13:06Z
CONTRIBUTOR
null
- [ ] Enhances previous bugfix to #12373 - [ ] Added test_rolling_min_max_test_types to test_windows - [ ] passes `git diff upstream/master | flake8 --diff` - [ ] Added documentation to computation.rst for the new as_float argument and updated whatsnew for v0.18.0 - Changed the rolling min/max functions in algos.pyx...
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12,596
Pandas 0.18.1rc2 requires GLIBC_2.14, but uses only a few (basic) symbols - cannot be used on Debian wheezy
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2016-03-11T15:44:19Z
2016-03-11T16:07:34Z
2016-03-11T16:07:34Z
NONE
null
We can install pandas 0.18.1rc2 on our wheezy VM but when we import it we get the following error: ``` Python 2.7.11 |Continuum Analytics, Inc.| (default, Dec 6 2015, 18:08:32) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2 >>> import pandas Traceback (most recent call last): File "<stdin>", line 1, in <module> ...
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12,597
Feature request: equivalent of R table or Stata tab
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2016-03-11T17:11:58Z
2016-03-11T17:27:32Z
2016-03-11T17:26:27Z
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I think it would be useful to have a command similar to `table` in R or `tab` in Stata. Given a vector `v` `table(v)` should return the frequency of each value in `v`. `table(v1, v2)` should return the cross tabulation of `v1` and `v2`
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12,598
Include index names in column names of HTML output of DataFrame Style…
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2016-03-11T17:57:17Z
2016-03-11T21:46:30Z
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Include index names in column names of HTML output of DataFrame Styler, if the index names are available (previous behaviour is not to include index column names and instead leave blank spaces)
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Error : Invalid type promotion
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2016-03-11T20:13:35Z
2016-05-23T13:05:43Z
2016-05-23T13:05:43Z
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#### Code Sample import pandas as pd def main(): ``` df1 = pd.Series() #dtype = float64 df1["a"] = pd.Timestamp("2014-01-02") #dtype = datetime64 df1["b"] = "z" # OK ! => dtype = object df1["c"] = 3.0 # OK! => dtype = object df2 = pd.Series() #dtype = float64 df2["a"] = pd.Timestamp("2014-01-02") #dtype = datetime6...
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12,600
BUG: np.round does not work on a series in 0.18.0
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16
2016-03-12T03:35:12Z
2016-05-30T19:00:05Z
2016-03-17T22:57:43Z
CONTRIBUTOR
null
First, `conda install pandas` is currently pulling down 0.18.0, which was unexpected since I only see RCs right now, but, on to the real issue... In 0.18.0 I cannot pass a series to np.round... ``` python In [35]: np.round(pd.Series([1.11, 2.21]), 1) -------------------------------------------------------------------...
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140,373,772
MDU6SXNzdWUxNDAzNzM3NzI=
12,601
BUG: Inconsistent datetime comparison with Tz
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2016-03-12T11:12:20Z
2018-06-28T10:23:02Z
2018-06-28T10:23:02Z
MEMBER
null
Related to #8306. On current master, `Timestamp` comparison results in `TypeError` if its timezones are different. However, `Index` and `Series` implicitly converts tz to GMT ``` pd.Timestamp('2016-01-01 12:00', tz='US/Eastern') > pd.Timestamp('2016-01-01 08:00') # TypeError: Cannot compare tz-naive and tz-aware times...
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140,396,835
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12,602
fixes print syntax error in documentation
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1
2016-03-12T16:25:39Z
2016-03-12T17:31:20Z
2016-03-12T17:31:14Z
CONTRIBUTOR
null
fixes the syntax error in the "comparison with R" docs
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140,428,128
MDExOlB1bGxSZXF1ZXN0NjI2NTU5Njg=
12,603
BUG: Matched Round Signature with NumPy's
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10
2016-03-12T23:38:10Z
2016-03-17T23:16:03Z
2016-03-17T22:57:44Z
MEMBER
null
Closes #12600 by re-accepting the `out` parameter as a `**kwargs` argument. Also removes the `out` parameter from the signature for `DataFrame.round` and replaces it with `**kwargs` like its `Series` counterpart. Furthermore, since `out` is a parameter that is not supported in `pandas`, checks that `out` is `None` an...
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