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https://api.github.com/repos/pandas-dev/pandas/issues/2501
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9,209,763
MDU6SXNzdWU5MjA5NzYz
2,501
pivot tables should provide "weighted" statistics
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1
2012-12-12T09:05:45Z
2019-12-25T05:12:45Z
null
CONTRIBUTOR
null
It would be really nice to allow for a weight argument to be passed to allow computatio of weighted statistics (mean, media, quantile etc) in pivot-table. Could be really convenient when you deal with weighted survey data.
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9,210,494
MDU6SXNzdWU5MjEwNDk0
2,502
Float format syntax
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3
2012-12-12T09:39:16Z
2013-09-28T19:36:29Z
2013-09-28T19:36:29Z
NONE
null
In for exampe DataFrame.to_csv there is the option "float_format" with the following description: ``` float_format : string, default None Format string for floating point numbers ``` The currently allowed format in Pandas follows the "old" Python style of '%.2f' % 1.234, so you have to write float_format = '%.df'. ...
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9,212,401
MDU6SXNzdWU5MjEyNDAx
2,503
Ginput giving wrong date for datetimeindex plot
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2012-12-12T10:59:05Z
2014-06-09T02:24:52Z
2014-06-09T02:24:52Z
CONTRIBUTOR
null
I rewrote this [StackOverflow question](http://stackoverflow.com/questions/13832938/how-use-ginput-method-get-the-correct-points) to include an example. I think this looks like a bug (possibly in `num2date` or `date2num`)? --- I read-in a file and plot it with pandas `DataFrame`. The index is DatetimeIndex, and then ...
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https://api.github.com/repos/pandas-dev/pandas/issues/2504
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9,213,294
MDExOlB1bGxSZXF1ZXN0MzMzNTcxMA==
2,504
option callback on value change, use an option to control use_inf_as_null
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2012-12-12T11:36:20Z
2014-07-08T14:50:42Z
2012-12-13T14:50:39Z
NONE
null
I'm not married to the "mode.X" option key, but be aware that the dynamic generated docstrings for the options API favour a small number of top level keys with multiple keys under them and so i consolidated `test.interactive` into `mode.sim_interactive`. Some sane taxonomy needs to be established early on to keep thin...
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9,216,690
MDExOlB1bGxSZXF1ZXN0MzMzNzUzMw==
2,505
vivify issue links in RELEASE.rst
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0
2012-12-12T14:07:57Z
2012-12-13T14:52:22Z
2012-12-13T14:52:22Z
NONE
null
rebased on top of #2504, merge that first. see here: https://github.com/y-p/pandas/blob/prettify_release/RELEASE.rst related #842.
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MDU6SXNzdWU5MjE4Mzk1
2,506
read_csv fails when a column ends in a quote.
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2
2012-12-12T14:59:59Z
2012-12-12T15:18:45Z
2012-12-12T15:18:45Z
NONE
null
I use pandas to read csv files that I get from mysql. Using pandas 0.9 and 0.10 beta, the following files give unexpected results when using read_csv > "A","B" > "row_1","foo\"" > "row_2","bar" output is > row_1 foo\"\nrow_2" bar When I add a space after the first quote after foo, > "A","B" > "row_1","foo\" " >...
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9,220,686
MDU6SXNzdWU5MjIwNjg2
2,507
Options API enhancements
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4
2012-12-12T16:01:17Z
2016-10-12T23:03:24Z
2012-12-14T05:22:26Z
CONTRIBUTOR
null
getitem/setitem magic: `pd.options['expand'] = True` context manager for temporary options setting: ``` with pd.set_option('expand', False): ... ```
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9,222,273
MDExOlB1bGxSZXF1ZXN0MzM0MDQ1Ng==
2,508
BUG: fix type spec bug in roll_window
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2012-12-12T16:42:33Z
2014-06-30T15:08:57Z
2012-12-12T16:44:47Z
CONTRIBUTOR
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9,236,934
MDU6SXNzdWU5MjM2OTM0
2,509
pandas does not build
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11
2012-12-12T23:48:07Z
2012-12-13T03:58:52Z
2012-12-13T01:42:35Z
NONE
null
The repo seems to be missing a file called pandas/index.c. Build log, on a Debian GNU/Linux system: $ python setup.py build running build running build_py creating build/lib.linux-x86_64-2.7 creating build/lib.linux-x86_64-2.7/pandas copying pandas/version.py -> build/lib.linux-x86_64-2.7/pandas copying pandas/**ini...
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MDU6SXNzdWU5MjM3OTAx
2,510
Error installing 0.10.0b1 from Github with pip
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2012-12-13T00:32:46Z
2012-12-13T05:21:05Z
2012-12-13T03:57:51Z
NONE
null
I tried installing today's release of 0.10.0.b1 in a virtualenv with: ``` pip install git+https://github.com/pydata/pandas.git ``` This fails after src/datetime: ``` i686-apple-darwin11-llvm-gcc-4.2: pandas/index.c: No such file or directory i686-apple-darwin11-llvm-gcc-4.2: no input files i686-apple-darwin11-llvm...
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9,240,591
MDU6SXNzdWU5MjQwNTkx
2,511
read_csv() option to parse numeric columns to np.float32 or np.float16
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1
2012-12-13T02:40:43Z
2018-01-12T11:09:03Z
2018-01-12T11:09:03Z
NONE
null
I noticed in the documentation: " Specifying column data types Starting with v0.10, you can indicate the data type for the whole DataFrame or individual columns: " This is indeed a great feature epically for numerical objects codes that would otherwise be parsed as integers with leading zeros removed. From the examp...
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9,241,682
MDU6SXNzdWU5MjQxNjgy
2,512
Investigate GIL-friendliness of C parser
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1
2012-12-13T03:50:23Z
2012-12-17T15:21:50Z
2012-12-17T15:21:50Z
MEMBER
null
I don't have much confidence that the GIL is released in the places that matter
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9,241,781
MDU6SXNzdWU5MjQxNzgx
2,513
Series.str.split() behavior on multi-character patterns (pandas 0.9.1, py2.7)
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3
2012-12-13T03:58:53Z
2016-10-12T23:03:24Z
2012-12-13T16:47:43Z
CONTRIBUTOR
null
Not sure if this is an issue in my setup or the intended behavior, but str.split behavior with multi-character patterns changed between 0.9.0 and 0.9.1, most likely due to #2119. Here is the original behavior going back to 0.8.1 as best I can tell. ``` In [1]: pd.__version__ Out[1]: '0.9.1.dev-c252129' In [2]: s = p...
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9,242,529
MDU6SXNzdWU5MjQyNTI5
2,514
Trouble building
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1
2012-12-13T04:55:31Z
2012-12-13T04:58:15Z
2012-12-13T04:57:51Z
NONE
null
$ sudo python setup.py install gcc: error: pandas/index.c: No such file or directory I'm currently in the project root dir. There is a pandas/index.pyx, but no pandas/index.c The only place where index.c is currently mentioned is in pandas.egg-info/SOURCES.txt (I am not very familiar with the c build tools) I am ...
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9,242,842
MDU6SXNzdWU5MjQyODQy
2,515
ENH: add line-width="auto" support
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1
2012-12-13T05:25:41Z
2013-06-19T03:00:47Z
2013-06-19T03:00:47Z
NONE
null
see #2076. the recurring "not really a terminal" issue again (#2275). will need to check for qtconsole, notebook and IDLE.
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9,244,952
MDExOlB1bGxSZXF1ZXN0MzM1MTU2Nw==
2,516
add option_context context manager
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0
2012-12-13T08:15:27Z
2014-07-11T02:59:46Z
2012-12-13T14:50:39Z
NONE
null
#2507 (partial) best merge this soonish to save constant rebasing and conflicts. rebased on top of #2504
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2,517
DataFrame.from_dict should respect OrderedDict
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6
2012-12-13T10:01:57Z
2012-12-14T02:29:47Z
2012-12-14T02:29:40Z
CONTRIBUTOR
null
Hi, I'm repeatedly running into an issue where I want a specific ordering of columns and rows. Often that won't work. I usually have to get around the restriction by converting this to lists etc., which makes everything a little messier than using dictionaries for indexing. I more or less figured out why. In DataFrame...
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9,248,106
MDExOlB1bGxSZXF1ZXN0MzM1MzAwMg==
2,518
BUG: df.from_dict should respect OrderedDict
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0
2012-12-13T10:43:30Z
2014-06-19T10:31:02Z
2012-12-13T22:59:36Z
NONE
null
related #2517
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9,254,648
MDExOlB1bGxSZXF1ZXN0MzM1NjM4Nw==
2,519
Fixed DataFrame.any() docstring
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1
2012-12-13T15:12:09Z
2013-08-20T22:01:02Z
2012-12-13T15:33:21Z
CONTRIBUTOR
null
Used to be the same as DataFrame.all
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MDU6SXNzdWU5MjU3OTUw
2,520
DOC: formatters in DataFrame.to_html cannot be list
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4
2012-12-13T16:47:27Z
2012-12-13T17:33:34Z
2012-12-13T17:33:34Z
NONE
null
``` pandas\core\frame.pyc in to_html(self, buf, columns, col_space, colSpace, header, index, na_rep, formatters, float_format, sparsify, index_names, justify, force_unicode, bold_rows, classes) 1537 header=header, index=index, 1538 ...
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MDU6SXNzdWU5MjU5NTkz
2,521
More flexible binning/aggregation of time series data
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3
2012-12-13T17:37:44Z
2014-05-28T22:53:39Z
null
MEMBER
null
from mailing list `````` I have TimeSeries that has observations at the second level: mport pandas as pd import numpy as np rng = pd.date_range('2012-01-01', '2012-01-10', freq='T') s = pd.TimeSeries(np.random.randn(12961)*100, index=rng) I now want to resample the data to daily at 17:59:59, so that I have the sum...
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https://api.github.com/repos/pandas-dev/pandas/issues/2522
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9,260,251
MDExOlB1bGxSZXF1ZXN0MzM1OTQwNQ==
2,522
A typo for a DataFrame method
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1
2012-12-13T17:58:52Z
2013-07-13T19:57:54Z
2012-12-13T18:13:17Z
CONTRIBUTOR
null
Hi there, I was reading this useful and very good doc. I saw an 'argmax' instead of 'idxmax' in the 'Essential basic functionality' part. See you. Damien
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9,261,005
MDU6SXNzdWU5MjYxMDA1
2,523
Exception using float as 'diff' periods
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2
2012-12-13T18:20:20Z
2012-12-14T03:19:46Z
2012-12-14T03:19:46Z
NONE
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from pandas import DataFrame df = DataFrame({'US': [1, 2]}, index=[datetime(2012,1,1), datetime(2012,1,2)]) df.diff(1.) This succeeded in 0.9.0. Now it raises: pandas\core\frame.pyc in diff(self, periods) 3937 diffed : DataFrame 3938 """ -> 3939 new_blocks = [b.diff(periods) for b in sel...
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9,261,322
MDU6SXNzdWU5MjYxMzIy
2,524
Don't make it impossible to get full DataFrame.info summary when lots of columns
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2012-12-13T18:29:10Z
2016-10-12T23:03:25Z
2012-12-14T03:55:56Z
MEMBER
null
Max is hard-coded to 100
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9,264,286
MDU6SXNzdWU5MjY0Mjg2
2,525
combine_first behavior change
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2012-12-13T19:58:00Z
2012-12-14T02:35:31Z
2012-12-14T02:35:31Z
NONE
null
``` python from pandas import DataFrame from datetime import datetime df = DataFrame({'US': [1]}, index=[datetime(2012,1,1)]) df2 = DataFrame({}, columns=['EU']) df.combine_first(df2) ``` In 0.9.0, this returns: ``` US 2012-01-01 1 ``` In 0.10.0b1, this returns: ``` EU US 2012-01-01 NaN ...
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9,264,938
MDU6SXNzdWU5MjY0OTM4
2,526
Segfault in read_table
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2012-12-13T20:19:43Z
2012-12-14T01:09:17Z
2012-12-14T01:09:17Z
NONE
null
Hello, I get a segfault in pandas version `0.10.0.dev` when attempting to import a tab-delimited file with `pandas.read_table`. Here is the code that produces the bug: ``` python # note: tf is a string containing the path to the file pd.read_table(tf, names=range(1, 129) + ['ref'], header=None) ``` I tried loading...
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9,267,832
MDU6SXNzdWU5MjY3ODMy
2,527
rolling_mean returns slightly-negative value on Series with only non-negative values
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2012-12-13T21:46:27Z
2012-12-13T22:21:57Z
2012-12-13T22:21:16Z
NONE
null
Seeing this in a few cases. This is the simplest repro I can find: ``` python from pandas import date_range, rolling_mean, Series s = Series(index=date_range('1999-02-03','1999-04-05')) s['1999-02-03'] = 0.00012456 s['1999-02-04'] = 0.0003 s['1999-04-05'] = 0 rolling_mean(s, 1)['1999-04-05'] ``` Returns 0 in 0.9.0. ...
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9,268,102
MDExOlB1bGxSZXF1ZXN0MzM2MzUwNA==
2,528
ENH: vbench support for HDFStore
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2012-12-13T21:55:21Z
2014-06-26T11:13:06Z
2012-12-13T22:52:58Z
CONTRIBUTOR
null
added benchmarcks to compare (100,000) rows: - read/write store - read/write store mixed - read/write table - read/write table wide (200 columns) - read/write table mixed - query wide/table
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2,529
TST: refactoring to speed up test suite
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2012-12-13T21:57:31Z
2014-06-27T11:27:29Z
2012-12-13T22:47:43Z
CONTRIBUTOR
null
also marked a few tests as slow
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2,530
DOC: add FAQ section on monkey-patching
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2012-12-14T02:58:38Z
2014-06-26T11:13:16Z
2012-12-14T03:45:44Z
NONE
null
Added the requisite caveats,
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Weighted mean
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2012-12-14T03:15:44Z
2014-06-26T17:08:34Z
2014-03-09T15:06:03Z
CONTRIBUTOR
null
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9,275,108
MDExOlB1bGxSZXF1ZXN0MzM2NzI0OQ==
2,532
ENH: df.select uses bool(crit(x)) rather then crit(x)
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1
2012-12-14T03:27:16Z
2014-06-23T02:50:20Z
2012-12-14T03:41:44Z
NONE
null
closes #2487
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9,275,643
MDU6SXNzdWU5Mjc1NjQz
2,533
"print" is a python keyword, shouldn't be used as options key
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3
2012-12-14T04:10:10Z
2012-12-14T04:22:56Z
2012-12-14T04:22:56Z
NONE
null
sorry about this change yet again, but this will prevent implementing `pd.option.x.y = z` and tab-completion. what's a good substitute - "disp"? "display"? back to "print_config"? @wesm, @changhiskhan
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9,276,553
MDU6SXNzdWU5Mjc2NTUz
2,534
Parser should strip whitespace around tokens
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1
2012-12-14T05:33:19Z
2012-12-14T05:38:50Z
2012-12-14T05:38:50Z
CONTRIBUTOR
null
spaces between column names for example: a,b,c vs a, b,c
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9,287,458
MDU6SXNzdWU5Mjg3NDU4
2,535
read_csv, compression, and bad column names.
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4
2012-12-14T15:15:16Z
2012-12-23T21:44:50Z
2012-12-14T16:41:14Z
CONTRIBUTOR
null
Hi. I've got a data set that I'm working with from [here](http://epp.eurostat.ec.europa.eu/NavTree_prod/everybody/BulkDownloadListing?dir=data&sort=1&sort=2&start=b), the `bop_its_det.tsv.gz` file. [Direct Link](http://epp.eurostat.ec.europa.eu/NavTree_prod/everybody/BulkDownloadListing?sort=1&file=data%2Fbop_its_det...
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9,291,379
MDExOlB1bGxSZXF1ZXN0MzM3NTMzNQ==
2,536
BUG: pytables minor changes
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1
2012-12-14T17:17:34Z
2014-06-17T10:09:37Z
2012-12-15T22:28:56Z
CONTRIBUTOR
null
- ENH: moved Term to top-level panas namespace (like HDFStore) - BUG: writing a Panel4D in cython (lib.pyx) - BUG: interpreting axes paremeter to orient data - BUG/ENH: allow appending of a different order of non_index_axes data which then is ordered according to on-disk data - DOC: explanation of how to orient data...
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9,292,632
MDU6SXNzdWU5MjkyNjMy
2,537
TimeGrouper error on PanelGroupBy.agg with custom functions.
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1
2012-12-14T18:01:02Z
2012-12-16T04:43:19Z
2012-12-16T04:43:19Z
CONTRIBUTOR
null
http://nbviewer.ipython.org/4287202/ When using a regular groupby, custom agg functions will receive a Panel as expected. If you groupby with TimeGrouper, the agg function will receive a Series. The regular cython aggregates likes mean, sum work fine.
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9,295,011
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2,538
date_range() alert user when using periods and end args?
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1
2012-12-14T19:31:37Z
2012-12-14T23:21:37Z
2012-12-14T23:21:36Z
NONE
null
Hi all, I am using date_range() and noticed that if the arguments start, end and period are all passed, the _period_ argument essentially overrides _end_. For example, consider the following index created using start and end: ``` start = datetime(2011, 1, 1, 5, 3, 40) end = datetime(2011, 1, 1, 8, 9, 40) tmanual=...
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9,301,706
MDU6SXNzdWU5MzAxNzA2
2,539
read_csv backwards compatibility: set header to None when names is passed
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4
2012-12-15T00:17:30Z
2012-12-16T16:14:59Z
2012-12-15T23:12:48Z
CONTRIBUTOR
null
Given the awesome work on read_csv() pending for 0.10, this may be a necessary change, however, for backwards compatibility, can the `names` parameter change to implicitly set `header` to None again? The new behavior of `names` is clearly documented, so feel free to reject as the new default. Up to and including 0.9....
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9,303,545
MDExOlB1bGxSZXF1ZXN0MzM4MTkyNA==
2,540
Fix compilation on MSVC, signbit not in math.h
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1
2012-12-15T03:36:15Z
2014-06-27T11:49:27Z
2012-12-15T21:09:53Z
CONTRIBUTOR
null
Another MSVC hack, this time to deal with the fact that signbit is not in math.h. By using the _copysign, you can avoid potential issues with "negative zeros"
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2,541
DOC: Update the doc about Sql IO
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2012-12-15T18:51:44Z
2013-01-20T01:43:00Z
2013-01-20T01:43:00Z
CONTRIBUTOR
null
I don't know if the piece of code to read/write into SQL database such as Sqlite is robust enough to write something about this (great) feature in the doc (i.e "io.rst" file). I would like to write a tiny section about 'execute', 'tquery' & 'read_frame' methods with some examples. Do you think that it's relevant? Che...
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2,542
Updating DataFrame element silently fails
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2012-12-15T20:17:02Z
2013-09-21T13:43:11Z
2012-12-15T20:25:11Z
NONE
null
I have a DataFrame that I am using to keep track of student grades during a course. Here is a sample record: ``` In [18]: grades.ix[8] Out[18]: Unnamed: 0 8 Name Johnny Student hw1 50 hw2 50 hw3 50 hw4 50 exam ...
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MDU6SXNzdWU5MzEwOTky
2,543
Label setting in x vs y plot
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1
2012-12-15T21:07:25Z
2016-10-12T23:03:25Z
2012-12-28T18:47:23Z
MEMBER
null
`````` How can I change the label for a 'col1'-'col2'-plot of a DataFrame? pandas seems to set the label automatically, which then clashes with my label setting: ch7[:21].plot('det','clat',label='ch7') --------------------------------------------------------------------------- TypeError ...
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ENH: squeeze - lower dimensionaility of a structure by removing exactly len 1 dims
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2012-12-16T00:44:11Z
2013-01-23T16:10:46Z
2013-01-23T16:10:46Z
CONTRIBUTOR
null
like numpy.sqeeze but returns the correct pandas object add in core/generic? anyone like squash better? (prob a fair number of special cases where need to check, e.g. empty Series)... so propose for 0.11 ``` def squeeze(self): """ squeeze length 1 dimensions """ return self.ix[tuple([ a[0] if len(a) == 1 e...
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2,545
BUG: Pytables minor changes 2
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2012-12-16T00:50:02Z
2014-06-26T11:25:39Z
2012-12-16T17:34:32Z
CONTRIBUTOR
null
ordering in returned data on an index axis if the selection (Term) has a lot of values e.g. had > 61 fields that were specified in a Term (weird but true)
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BLD: add PyTables,Numexpr to Travis vbench build
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2012-12-16T03:17:16Z
2012-12-16T11:18:21Z
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CONTRIBUTOR
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9,315,263
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2,547
Add vbench job to jenkins
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2012-12-16T11:15:58Z
2013-07-22T20:01:05Z
2013-07-22T20:01:05Z
NONE
null
a vbench jobs was added to travis (ae80d24e) 3 weeks ago, Today I did some more work there, added some code to make it easy to collect all that data back into a comfy dataframe, Although I think this was a cool hack (and although using pandas and statsmodels to fit a model and get some confidence intervals on the re...
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failing vbenches
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2012-12-16T12:52:34Z
2013-01-20T23:58:28Z
2013-01-20T19:01:51Z
NONE
null
https://travis-ci.org/pydata/pandas/jobs/3687471
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2,549
BUG: string output on PeriodIndex fails
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2012-12-16T18:17:49Z
2012-12-17T15:15:50Z
2012-12-17T15:15:50Z
CONTRIBUTOR
null
used to work in 0.9.1. this is on current master ``` In [1]: import numpy as np In [2]: import pandas as pd In [3]: index = pd.PeriodIndex(['2011-1', '2011-2', '2011-3'], freq='M') In [4]: frame = pd.DataFrame(np.random.randn(3,4),index=index) In [5]: frame.to_string() --------------------------------------------...
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2,550
Use requirements.txt to manage dependencies needed for pandas?
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2012-12-16T20:53:29Z
2014-05-28T22:52:36Z
2014-05-28T22:52:36Z
NONE
null
For example, requirements.txt: nose==1.2.1 Cython==0.17.3
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BUG: fixed DataFrame.to_records() error with datetime64, #1908
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2012-12-16T22:30:37Z
2012-12-18T00:38:42Z
2012-12-18T00:34:24Z
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2,552
New Pandas Cheat Sheet
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2012-12-17T00:56:32Z
2017-03-02T10:36:16Z
2013-07-29T05:13:49Z
NONE
null
Pandas cheatsheet - created during the PyData Workshop-Sprint 2012 - Hannah Chen, Henry Chow, Eric Cox, Robert Mauriello
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2,553
Slicing a DataFrame where index has tzinfo produces a DataFrame with index having no tzinfo
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1
2012-12-17T12:41:19Z
2012-12-17T15:19:33Z
2012-12-17T15:19:33Z
NONE
null
When I slice a DataFrame with an index of datetimes that contains time zone info, the resulting DataFrame index is missing the timezone info. > > > numpy.**version** > > > '1.7.0b2' > > > pandas.**version** > > > '0.9.0'
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2,554
Correction in DatetimeIndex in Time Series documentation
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2012-12-17T17:10:09Z
2013-05-27T13:57:19Z
2012-12-17T17:43:43Z
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In the Time Series documentation (http://pandas.pydata.org/pandas-docs/stable/timeseries.html), DatetimeIndex is said to have the following functionality: ``` In [1118]: ts['2011'] Out[1118]: 2011-01-31 -1.281247 2011-02-28 -0.727707 2011-03-31 -0.121306 2011-04-29 -0.097883 2011-05-31 0.695775 2011-06-30 ...
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2,555
ENH: support for nanosecond time in offset and period
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24
2012-12-17T20:13:15Z
2014-06-21T02:43:58Z
2013-03-14T11:37:05Z
CONTRIBUTOR
null
This is my attempt to fix the so far missing nanosecond support for pd.DatetimeIndex (see issue #1812). The Python modification should be relatively easy to review, but unfortunately I had to do a bigger refactoring of period.c in order to support subsecond times. Im still working on adding more tests and I will try ...
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MDU6SXNzdWU5MzQ2NTc5
2,556
DataFrame sort not stable
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2012-12-17T20:28:57Z
2012-12-18T22:09:32Z
2012-12-18T22:09:32Z
NONE
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Passing a list of strings to the DataFrame.sort() method is stable, but passing a string by itself causes the sort to be unstable. I'm defining sort stability to mean row order is maintained for duplicate values in the sorted column. ## Code to recreate ``` >>>import pandas as pd >>>df = pd.DataFrame(list('ABCDABCD...
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2,557
Remove default method 'pad' from fillna docstring
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2012-12-17T23:56:18Z
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2,558
Update default fillna method in the docstring
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2012-12-18T00:20:23Z
2012-12-18T00:40:05Z
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2,559
What's new is not updated for 0.10
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2012-12-18T23:28:08Z
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clicking on what's new shows only the new features of 0.9.1 and older
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2,560
Adding lambda support inside of __getitem__ for DataFrame, Series, .. etc.
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2012-12-18T20:02:50Z
2013-09-16T18:59:14Z
2013-09-16T18:59:14Z
NONE
null
To avoid the verbose syntax currently needed to select across many columns of a data frame, here's a suggestion. Inside of DataFrame's **getitem** function, make some special case logic to handle the case where a lambda function is passed in. If a lambda is passed in, then apply it to the dataframe itself and attempt t...
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2,561
ENH: added support for data column queries
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2012-12-18T23:06:59Z
2014-06-12T15:36:20Z
2012-12-28T15:07:48Z
CONTRIBUTOR
null
- can construct searches on the actual columns of the data, by passing keyword `data_columns` to `append` e.g. store.select('df_dc',[ Term('B>0'), Term('string=foo') ]) (where B and string are columns in the frame) - added `nan_rep` for supporting string columns with nan's in them - corectly determine dtype...
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MDU6SXNzdWU5Mzg1OTI2
2,562
pytz/dateutil and matplotlib
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2012-12-18T23:33:23Z
2014-01-25T01:07:34Z
2013-09-20T17:19:36Z
CONTRIBUTOR
null
I just installed the python stack on a new system and replicated a problem I see often. I assume it comes from the fact that dateutil and pytz are installed by matplotlib and then pandas adds them to easy-install.pth because of the install_requires in setup.py. I see this message every time I start the interpreter due ...
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9,393,507
MDU6SXNzdWU5MzkzNTA3
2,563
DatetimeIndex.unique() returns datetime64
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0
2012-12-19T08:19:01Z
2012-12-28T14:10:16Z
2012-12-28T14:10:16Z
CONTRIBUTOR
null
``` >>> pd.DatetimeIndex(['2011-01-01', '2011-01-02']).unique() array([1970-01-15 104:00:00, 1970-01-15 128:00:00], dtype=datetime64[ns]) ```
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9,396,575
MDU6SXNzdWU5Mzk2NTc1
2,564
read_csv should accept unicode objects as urls
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5
2012-12-19T10:40:41Z
2012-12-29T21:55:09Z
2012-12-29T21:54:50Z
NONE
null
Hi, I have tried the following with pandas-f014b01af7bd2d03266697e672c2d41daded3fca.zip and pandas-0.10.0.tar.gz The unit tests on my Pandas build are failing with: # ## FAIL: test_read_csv (pandas.io.tests.test_parsers.TestCParserHighMemory) Traceback (most recent call last): File "/home/woodri/build/out/lib/pyt...
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https://api.github.com/repos/pandas-dev/pandas/issues/2565
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9,399,168
MDExOlB1bGxSZXF1ZXN0MzQyNjY0Nw==
2,565
logx for DataFrame.plot() and Series.plot()
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1
2012-12-19T12:40:27Z
2014-06-25T01:09:44Z
2012-12-28T15:22:34Z
CONTRIBUTOR
null
Trivial but convenient, as discussed in https://github.com/pydata/pandas/issues/2327
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https://api.github.com/repos/pandas-dev/pandas/issues/2566
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9,407,584
MDU6SXNzdWU5NDA3NTg0
2,566
Make pandas C parser xstrtod match float/np.float64 internal routine
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12
2012-12-19T17:12:35Z
2014-08-12T15:17:32Z
2013-09-21T13:36:53Z
NONE
null
read_csv() converts the string '0.011277' into a np.float64 whose repr() is: '0.011276999999999999' . However, repr(np.float64('0.011277')) returns: '0.011277000000000001' Also, in Pandas v.0.9.0, read_csv() produced '0.011276999999999999', while in Pandas v.10.0 read_csv() produces '0.011277000000000001'. This pro...
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9,407,965
MDU6SXNzdWU5NDA3OTY1
2,567
Option for reshape order in lreshape
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3
2012-12-19T17:24:38Z
2016-12-28T11:09:51Z
2016-12-28T11:09:51Z
MEMBER
null
Currently is "F"-like ordering
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9,408,019
MDExOlB1bGxSZXF1ZXN0MzQzMTEyNw==
2,568
BUG: DatetimeIndex.unique numpy 1.6 repr #2563
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1
2012-12-19T17:26:00Z
2014-06-23T08:06:15Z
2012-12-28T14:10:20Z
CONTRIBUTOR
null
#2563
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9,415,249
MDU6SXNzdWU5NDE1MjQ5
2,569
Grouping over PeriodIndex breaks its format
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1
2012-12-19T21:20:55Z
2012-12-28T16:41:12Z
2012-12-28T16:41:12Z
NONE
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With the master branch (f014b01af7bd2d03266697e672c2d41daded3fca), grouping over a PeriodIndex is breaking the format of the index: ``` In [100]: df = pandas.DataFrame({'x': [1, 2, 3], 'y': ['2012-12-18', '2012-12-19', '2013-01-04']}) In [101]: df['y'] = df.y.astype('datetime64[D]') In [102]: df = df.set_index('y')....
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9,418,345
MDU6SXNzdWU5NDE4MzQ1
2,570
read_csv() force numeric dtype on column and set unparseable entry as missing (NaN)
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2012-12-19T23:12:36Z
2021-11-14T21:15:01Z
null
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null
How can I force a dtype on a column and ensure that any not-parseable data entry are filled as NaN? This is important in cases where there are unpredictable data entry errors in CSVs or database streams that cannot be mapped to missing values a priori. Eg: Below I want column 'a' to be parsed as np.float but the erron...
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9,430,404
MDU6SXNzdWU5NDMwNDA0
2,571
Timestamp when plotting hourly time series with base != 0
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2
2012-12-20T10:46:53Z
2016-10-12T23:03:25Z
2013-01-21T17:32:00Z
NONE
null
If I plot an hourly time series with a different base (don't know if this is correct englisch I mean if it is not 12:00, 13:00, ... but something like 12:30, 13:30, ...) the values are plotted as full hours at the xaxis. If I convert to a resolution of '60min' it works. ``` python In [250]: idx = pd.date_range('2012...
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9,435,857
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2,572
remove unused kh_del, pack kh_hash flag bits
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2
2012-12-20T14:49:38Z
2012-12-28T15:27:33Z
2012-12-28T15:27:33Z
CONTRIBUTOR
null
The kh_hash library includes the ability to delete elements, but this is not used anywhere in pandas. In the khash library, there are two flags bits for every entry: ''isempty' and 'isdel'. This change removes the support for kh_del from the khash library, allowing it to use half as many flag bits. All tests pass. ...
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9,456,219
MDU6SXNzdWU5NDU2MjE5
2,573
TimeSeries indexing by string not working (for microseconds?)
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2012-12-21T05:08:37Z
2012-12-21T06:47:46Z
2012-12-21T06:47:46Z
CONTRIBUTOR
null
I was trying out examples from the pandas book, stating that one can index a time series index by string expressions. I copied the exact string from the pandas Timestamp printout and tried to use it as an index but it fails with KeyError. Maybe due to microseconds? see http://nbviewer.ipython.org/4350756/
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9,462,372
MDU6SXNzdWU5NDYyMzcy
2,574
sub/mul/div for Series does not accept scalar
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0
2012-12-21T11:27:51Z
2012-12-28T15:42:03Z
2012-12-28T15:42:03Z
CONTRIBUTOR
null
``` python import panda as pd s = pd.Series(range(10)) s.sub(1) # AssertionError: Other operand must be Series df = pd.DataFrame({'test':s}) df.sub(1) # works ``` Am I misunderstanding or should scalars work with sub/mul/div/etc?
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9,464,914
MDU6SXNzdWU5NDY0OTE0
2,575
Indexing/Slicing tz-aware TimeSeries fails when using datetime
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1
2012-12-21T13:41:03Z
2016-10-12T23:03:26Z
2013-01-20T02:42:08Z
NONE
null
The following code should clarify the problem: ``` python import pandas import pytz index = pandas.date_range(start='2012-12-24 16:00', end='2012-12-24 18:00', freq='H', tz='Europe/Berlin') ts = pandas.TimeSeries(index=index, data=index.hour) time_pandas = pandas.Timestamp('2012-12-24 17:00', tz='Europe/Berlin') time_...
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9,468,832
MDU6SXNzdWU5NDY4ODMy
2,576
UnicodeDecodeError in DataFrame.__repr__() for non-ascii column names
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4
2012-12-21T16:09:50Z
2013-12-04T00:40:22Z
2012-12-28T15:49:38Z
CONTRIBUTOR
null
Here is the traceback using Python 2.7.3 and Pandas trunk. ``` /pandas/core/frame.pyc in __repr__(self) 678 Yields Bytestring in Py2, Unicode String in py3. 679 """ --> 680 return str(self) 681 682 def _repr_html_(self): /pandas/core/frame.pyc in __str__(self) 634 ...
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9,469,012
MDExOlB1bGxSZXF1ZXN0MzQ2MTQ0Nw==
2,577
Update pandas/core/format.py
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4
2012-12-21T16:16:49Z
2014-08-11T01:06:12Z
2012-12-28T15:49:57Z
CONTRIBUTOR
null
Fixes #2576.
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9,471,792
MDU6SXNzdWU5NDcxNzky
2,578
BUG/ENH: should .ix allow partial setting?
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0
2012-12-21T18:11:09Z
2014-09-04T18:11:29Z
2013-09-05T17:23:51Z
CONTRIBUTOR
null
related to GH #2033 ``` In [27]: df = pd.DataFrame(np.random.rand(4,2),index=pd.date_range('2001/1/12',periods=4),columns=['A','B']) In [28]: df Out[28]: A B 2001-01-12 0.861201 0.530351 2001-01-13 0.434518 0.692022 2001-01-14 0.794237 0.912073 2001-01-15 0.421282 0.930005 In [29]...
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https://api.github.com/repos/pandas-dev/pandas/issues/2579
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9,477,521
MDU6SXNzdWU5NDc3NTIx
2,579
don't register pandas mpl unit converters upon import
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26
2012-12-21T22:30:47Z
2017-11-15T16:26:20Z
2017-11-15T16:26:08Z
CONTRIBUTOR
null
register it upon plotting? http://stackoverflow.com/questions/13988111/importing-pandas-in-python-changes-how-matplotlib-handles-datetime-objects
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https://api.github.com/repos/pandas-dev/pandas/issues/2580
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9,478,648
MDU6SXNzdWU5NDc4NjQ4
2,580
Possible data corruption using HD5Store
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2012-12-21T23:39:50Z
2013-01-20T14:58:46Z
2013-01-20T14:58:46Z
NONE
null
I noticed some really weird behaviour of new HD5Store. I am using pandas 0.10.0 and pytables 2.4.0. When I try to serialize my Panel structure and then remove it from the store, the memory is not reclaimed - the store appears to be empty while it is still using 90MB on my hard drive. I am trying to find any repro ste...
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9,481,189
MDExOlB1bGxSZXF1ZXN0MzQ2Nzk5MA==
2,581
Update doc/source/groupby.rst
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2012-12-22T05:05:07Z
2012-12-25T16:04:15Z
2012-12-25T16:04:11Z
CONTRIBUTOR
null
Fixed a small typo in the docs
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9,482,547
MDU6SXNzdWU5NDgyNTQ3
2,582
Cannot resample('M') after tz_convert
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2012-12-22T09:58:34Z
2012-12-22T17:21:51Z
2012-12-22T16:44:06Z
NONE
null
Update: I believe this has been fixed in v.0.10.0, so it can be closed. In Pandas v.0.9.0: ``` python dd=pd.date_range('2012-1-1 1:30', periods=3, freq='min').tz_localize('UTC').tz_convert('EST') pd.Series([1,2,3],index=dd).resample('M') ``` Output: ``` Exception: Cannot compare tz-naive and tz-aware timestamps ``...
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9,483,904
MDU6SXNzdWU5NDgzOTA0
2,583
Date formatting option in to_csv?
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6
2012-12-22T14:27:36Z
2013-09-28T19:34:23Z
2013-09-28T19:34:23Z
MEMBER
null
http://stackoverflow.com/questions/13999850/how-to-specify-date-format-when-using-pandas-to-csv http://stackoverflow.com/questions/15651527/how-to-stop-python-pandas-from-adding-000000-to-every-date
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9,485,388
MDExOlB1bGxSZXF1ZXN0MzQ2OTM4Ng==
2,584
CLN: Remove a useless parameter in Series.iteritem method.
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1
2012-12-22T18:04:37Z
2012-12-28T15:12:07Z
2012-12-28T15:12:07Z
CONTRIBUTOR
null
Hi, I was reading some docstring of some `Series` & `DataFrame` methods from IPython. I wondered what the parameter `index` of the method `Series.iteritems` -- and thus the `iterkv` method -- did. I think it's not used. Tests passed. Cheers, Damien G.
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9,486,416
MDU6SXNzdWU5NDg2NDE2
2,585
Wide repr formatting problem
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8
2012-12-22T20:39:56Z
2012-12-29T04:30:44Z
2012-12-28T18:44:30Z
MEMBER
null
Bummer. This happened in IPython on git master, `display.line_width` set to 80 ``` In [18]: df.columns Out[18]: Index([Symbol, Description, MTM MTD, MTM YTD, Realized ST MTD, Realized ST YTD, Realized LT MTD, Realized LT YTD, Underlying, Kind], dtype=object) In [19]: df Out[19]: Symbol Description MTM MTD MTM YT...
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MDU6SXNzdWU5NDg3NjIz
2,586
ENH: add date_format to read_csv / Date parsing mistake. read_csv
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19
2012-12-22T23:57:52Z
2019-12-01T20:58:24Z
null
CONTRIBUTOR
null
`date_format` keyword could take the format, dict of columns to format, or list of formats (and could then obviate the need for parse_dates) Sometimes months and days get mixed up. E.g. test.csv: a,b 27.03.2003 14:55:00.000,1 03.08.2003 15:20:00.000,2 read_csv("/home/john/Documents/test.csv",index_col=0, parse_date...
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9,488,101
MDU6SXNzdWU5NDg4MTAx
2,587
Series.add can't do with scalar value
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2
2012-12-23T05:58:27Z
2012-12-28T15:42:29Z
2012-12-28T15:42:29Z
NONE
null
s = pd.Series([1,2,3]) s.add(3) raise AssertionError: Other operand must be Series.
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9,488,241
MDU6SXNzdWU5NDg4MjQx
2,588
pandas plot giving value error in IPython/zmq/pylab/backend_inline.pyc
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2
2012-12-23T06:38:47Z
2013-01-19T22:14:52Z
2013-01-19T22:14:50Z
CONTRIBUTOR
null
Using ipython 0.13.1 and pandas 0.10.0, having both the 'color' and 'style' parameter to pandas.Series.plot() gives a value error in pylab. Not sure if I should report this here or in ipython? ``` python from pandas import * ts = Series(randn(1000), index=date_range('1/1/2000', periods=1000)) ts = ts.cumsum() # having...
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9,488,998
MDExOlB1bGxSZXF1ZXN0MzQ3MDU1Mw==
2,589
Add some default parameters to TextParser in _parse_options_data()
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1
2012-12-23T09:33:22Z
2012-12-28T15:09:42Z
2012-12-28T15:09:42Z
CONTRIBUTOR
null
The Options class can return some awkward dtypes: ``` python In [1]: from pandas.io.data import * In [2]: aapl = Options('aapl') In [3]: a = aapl.get_put_data(1,2013) In [4]: a.dtypes Out[4]: Strike object Symbol object Last float64 Chg float64 Bid object Ask float6...
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9,490,146
MDExOlB1bGxSZXF1ZXN0MzQ3MDk0Nw==
2,590
Update force_unicode documentation
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2012-12-23T13:10:29Z
2012-12-28T13:49:54Z
2012-12-28T13:49:54Z
CONTRIBUTOR
null
Should resolve #2053. For consistency, I've re-added the `force_unicode` parameter to `to_latex()` and have it now raise a deprecation warning. I've also updated the common docstring for the `to_*` methods to have a brief explanation as to why the parameter is deprecated. There were a couple other missing deprecation...
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9,491,283
MDU6SXNzdWU5NDkxMjgz
2,591
Localize a column of Timestamps
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1
2012-12-23T16:10:21Z
2013-09-20T22:49:51Z
2013-09-20T22:49:51Z
CONTRIBUTOR
null
Migrated from [StackOverflow](http://stackoverflow.com/questions/14004545/how-to-convert-the-time-zone-of-the-values-of-a-pandas-series): ``` s = pd.Series(pd.date_range('2012-1-1 1:30', periods=3, freq='min', tz='EST')) ``` You can convert each item individually: ``` In [86]: s[0] Out[86]: <Timestamp: 2012-01-01 0...
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ENH: IO World Bank WDI
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2012-12-23T18:58:15Z
2014-06-14T16:53:15Z
2012-12-28T16:01:42Z
CONTRIBUTOR
null
The World Bank's World Development Indicators (WDI) is a collection of nearly 8000 data series in country-year format. These data cover a wide range of topics (e.g. demography, economics), and they are freely available freely through the World Bank API. http://data.worldbank.org/ This PR introduces a very simple io m...
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2,593
read_csv, compression, CParser
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4
2012-12-24T16:40:28Z
2012-12-28T14:48:30Z
2012-12-28T14:47:55Z
NONE
null
The CParser doesn't appear to handle the compression flag in 0.10.0 ``` vishnu@grsectoo ~/python/pandas $ cat compression.csv "Time","A","B" "12/24/2012 12:00:00","1.00","2.00" vishnu@grsectoo ~/python/pandas $ zcat compression.csv.gz "Time","A","B" "12/24/2012 12:00:00","1.00","2.00", vishnu@grsectoo ~/python/pandas...
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9,503,725
MDU6SXNzdWU5NTAzNzI1
2,594
Support parsing thousands separators in floating point data
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3
2012-12-24T17:30:22Z
2013-08-26T19:00:12Z
2013-08-26T19:00:12Z
MEMBER
null
xref #584 ``` It seems that the decimal format works ok for the decimal sign or for the thousands but not combined. Reopen the issue? Example import pandas as pd from StringIO import StringIO data = """A;B;C 0;0,11;0,11 1.000;1000,11;1.000,11 20.000;20000,22;20.000,22 300.000;300000,33;300.000,33 4.000.000;4000000,...
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9,507,588
MDExOlB1bGxSZXF1ZXN0MzQ3NzUxNw==
2,595
BUG: provide for automatic conversion of object -> datetime64
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3
2012-12-25T04:48:59Z
2014-06-19T17:13:25Z
2012-12-28T16:40:22Z
CONTRIBUTOR
null
- construct series that have M8[ns] dtype even in the presence of NaN (rather than object) see below. - allow np.nan to be used in place of NaT in series construction (requires explicity dtype to be passed) e.g. `Series(np.nan,index=range(5),dtype='M8[ns]')` - bug fix in applymap (tseries/tests/test_timeseries/tes...
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9,512,906
MDU6SXNzdWU5NTEyOTA2
2,596
Hierarchical columns indexing issue
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0
2012-12-25T18:59:22Z
2016-10-12T23:03:26Z
2013-01-20T02:40:45Z
MEMBER
null
http://stackoverflow.com/questions/14025879/assertion-error-in-columns-in-dataframe-with-hierarchical-indexing
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9,515,024
MDU6SXNzdWU5NTE1MDI0
2,597
Updating DataFrames not Case Sensitive
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4
2012-12-26T00:54:39Z
2013-12-04T00:40:19Z
2012-12-26T01:45:22Z
NONE
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I have two nearly identical DataFrames (same index structure and column names) with different names. One is called DF the other is df (only difference is case of the name). When updating values in columns of one DataFrame, the corresponding values in the other are also updated. I am guessing somewhere in the back end w...
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9,515,103
MDU6SXNzdWU5NTE1MTAz
2,598
Enable easier multi-group selection from single level in hierarchical index
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0
2012-12-26T01:11:34Z
2014-02-13T23:12:31Z
2014-02-13T23:12:31Z
MEMBER
null
http://stackoverflow.com/questions/13993524/pandas-slicing-along-multiindex-and-separate-indices
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9,516,209
MDU6SXNzdWU5NTE2MjA5
2,599
read_csv treats zeroes as nan if column contains any nan
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13
2012-12-26T04:47:38Z
2013-01-05T21:22:21Z
2013-01-05T21:22:21Z
NONE
null
If `data.csv` contains the following (column B has a zero in the first row, and is empty in the second) ``` A,B 0,0 0, ``` ... pandas 0.10.0 incorrectly reads it as: ``` In [7]: pd.read_csv('data.csv') Out[9]: A B 0 0 NaN 1 0 NaN ``` ... whereas pandas 0.9.0 reads it right: ``` In [5]: pd.read_csv('data.csv...
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9,529,284
MDU6SXNzdWU5NTI5Mjg0
2,600
Buggy negative slicing with ix
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6
2012-12-27T00:12:12Z
2016-04-08T13:02:12Z
2016-04-08T13:02:12Z
MEMBER
null
http://stackoverflow.com/questions/14035817/slicing-pandas-dataframe-with-negative-index-with-ix-method ``` In [1]: df = pd.DataFrame(np.random.randn(10, 4)) In [2]: df Out[2]: 0 1 2 3 0 -3.100926 -0.580586 -1.216032 0.425951 1 -0.264271 -1.091915 -0.602675 ...
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