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https://api.github.com/repos/pandas-dev/pandas/issues/4901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4901/events | https://github.com/pandas-dev/pandas/pull/4901 | 19,832,181 | MDExOlB1bGxSZXF1ZXN0ODQ5MTU5Nw== | 4,901 | CI: allow print_versions to work without pandas install | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4902/events | https://github.com/pandas-dev/pandas/issues/4902 | 19,834,199 | MDU6SXNzdWUxOTgzNDE5OQ== | 4,902 | _ensure_numeric does not check for complex numbers | {
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Relevant StackOverflow question that found the bug: [python pandas complex number](http://stackoverflow.com/questions/18919699/python-pandas-complex-number/)
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https://api.github.com/repos/pandas-dev/pandas/issues/4903 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4903/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4903/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4903/events | https://github.com/pandas-dev/pandas/issues/4903 | 19,834,215 | MDU6SXNzdWUxOTgzNDIxNQ== | 4,903 | BUG: ExcelFile.parse() skiprows arg doesn't play nice | {
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Was building on [this example on SO](http://stackoverflow.com/questions/15555005/get-inferred-dataframe-types-iteratively-using-chunksize), and found a bug in `ExcelFile().parse` option `skiprows`, when passed an index.
``` python
In [2]: xls = pd.ExcelFile('example.xlsx')
In [3]: df = xls.parse(xls... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4905/events | https://github.com/pandas-dev/pandas/issues/4905 | 19,838,379 | MDU6SXNzdWUxOTgzODM3OQ== | 4,905 | Panel.resample should default to axis=1 | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2013-09-20T20:10:03Z | 2018-07-06T20:21:01Z | 2017-07-10T21:08:44Z | CONTRIBUTOR | null | ``` python
In [1]: import pandas as pd
In [2]: panel = pd.util.testing.makePa
pd.util.testing.makePanel pd.util.testing.makePanel4D
In [2]: panel = pd.util.testing.makePanel()
In [3]: panel.resample("W")
---------------------------------------------------------------------------
TypeError ... | {
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"f... | 2 | 2013-09-20T20:49:21Z | 2020-05-02T03:48:14Z | 2020-05-02T03:48:13Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/18924908/remove-parentheses-from-complex-numbers-pandas/18925604#18925604
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Plus, we can document all the config options in a single file.
related #2452, #3046
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https://code.google.com/p/numexpr/issues/detail?id=115
https://github.com/PyTables/PyTables/issues/283
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Adds a method that can quickly tell whether something is a view or not
(in the way that actually matters). Also changes checks in `equals()` to
use `is_` rather than `is`.
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https://api.github.com/repos/pandas-dev/pandas/issues/4910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4910/events | https://github.com/pandas-dev/pandas/issues/4910 | 19,848,581 | MDU6SXNzdWUxOTg0ODU4MQ== | 4,910 | BUG/TST: Allow generators in DataFrame.from_records | {
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It's no clear whats nrows do, it's not documented.
I've create a PR with a simpl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4911/events | https://github.com/pandas-dev/pandas/pull/4911 | 19,848,833 | MDExOlB1bGxSZXF1ZXN0ODUwMTIzMw== | 4,911 | BUG/TST: Allow generators in DataFrame.from_records | {
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- nrows implementation doesn't allow unknown size iterator like
generators, if nrows = none ends with a TypeError.
- To allow generators if nrows=None consume it into a list.
- Add two tests of generators input.
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https://api.github.com/repos/pandas-dev/pandas/issues/4912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4912/events | https://github.com/pandas-dev/pandas/pull/4912 | 19,850,274 | MDExOlB1bGxSZXF1ZXN0ODUwMTg2OQ== | 4,912 | CLN: more plotting test cleanups | {
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Adds a new decorator to skip matplotlib in a class method
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https://api.github.com/repos/pandas-dev/pandas/issues/4913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4913/events | https://github.com/pandas-dev/pandas/issues/4913 | 19,856,067 | MDU6SXNzdWUxOTg1NjA2Nw== | 4,913 | Allow time series of 3D vectors | {
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"f... | 13 | 2013-09-21T12:41:29Z | 2013-10-03T16:18:30Z | 2013-10-03T16:18:30Z | NONE | null | We use Pandas to analyse flight data. Many of the recorded measurements are 3D vectors of double, e.g. position, velocity, acceleration. Currently I can only store scalars or objects in a time series. Scalars make the dataset very large, processing it is not very convenient.
I would like to be able to do:
df.velocity.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4914/events | https://github.com/pandas-dev/pandas/issues/4914 | 19,856,614 | MDU6SXNzdWUxOTg1NjYxNA== | 4,914 | plot() only shows line or bar with a combined bar and line graph | {
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http://nbviewer.ipython.org/6650724
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https://api.github.com/repos/pandas-dev/pandas/issues/4915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4915/events | https://github.com/pandas-dev/pandas/pull/4915 | 19,856,805 | MDExOlB1bGxSZXF1ZXN0ODUwNDQxOQ== | 4,915 | ENH/REF: More options for interpolation and fillna | {
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closes #1892
I've basically just hacked out the Series interpolate and stuffed it under generic under a big `if` statement. Gonna make that much cleaner. Moved the interpolation and fillna specific tests in `test_series.py` to `test_generic.py`.
API question for you all. The interpolation procedures i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4916 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4916/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4916/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4916/events | https://github.com/pandas-dev/pandas/issues/4916 | 19,858,000 | MDU6SXNzdWUxOTg1ODAwMA== | 4,916 | ENH: DataFrame.from_xy methods are duplicates | {
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... | 16 | 2013-09-21T15:14:44Z | 2021-04-11T03:24:35Z | 2021-04-11T03:24:34Z | CONTRIBUTOR | null | Decide what to do with each of these
- [x] deprecate `from_csv` ~~/ change to be exactly like `read_csv`~~ -> https://github.com/pandas-dev/pandas/pull/17812
- [ ] from_dict
- [ ] from_records (see #8161)
- [x] from_items (#18529)
This is just a suggestion: `DataFrame` constructor already supports the things tha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4917/events | https://github.com/pandas-dev/pandas/issues/4917 | 19,858,850 | MDU6SXNzdWUxOTg1ODg1MA== | 4,917 | ignore newline while reading files? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4918/events | https://github.com/pandas-dev/pandas/issues/4918 | 19,860,249 | MDU6SXNzdWUxOTg2MDI0OQ== | 4,918 | Test failures on debian sid | {
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```
$ env PYTHONPATH=. nosetests pandas
.................................EES.FSSS......................................................S.............F...................... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4919/events | https://github.com/pandas-dev/pandas/issues/4919 | 19,860,427 | MDU6SXNzdWUxOTg2MDQyNw== | 4,919 | ENH: Generalize GA to work with MCF API | {
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"f... | 4 | 2013-09-21T17:59:40Z | 2015-10-14T11:45:06Z | 2015-10-14T11:45:06Z | CONTRIBUTOR | null | Right now the Google Analytics functionality is too specific to the Core Reporting API. It should be generalized to handle MultiChannel Attribution as well.
For example,
```
def _get_col_names(header_info):
return [x['name'][3:] for x in header_info]
```
Would break because headers in are prepended with `mcf:`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4920/events | https://github.com/pandas-dev/pandas/issues/4920 | 19,861,078 | MDU6SXNzdWUxOTg2MTA3OA== | 4,920 | Wide to long panel function | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2013-09-21T18:49:44Z | 2013-12-07T14:15:52Z | 2013-12-07T14:15:52Z | CONTRIBUTOR | null | This has been a pain point for me. The use case is pretty specific. Cf. [reshape long](http://www.stata.com/help.cgi?reshape) in stata.
https://gist.github.com/jseabold/6653108
Can add tests and make a PR, if desired.
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https://api.github.com/repos/pandas-dev/pandas/issues/4924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4924/events | https://github.com/pandas-dev/pandas/pull/4924 | 19,863,698 | MDExOlB1bGxSZXF1ZXN0ODUwNjgxMQ== | 4,924 | ENH: evaluate datetime ops in python with eval | {
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Also adds `DatetimeIndex` comparisons in query expressions and a corresponding vbench for a simple `Timestamp` vs either `Series` or `DatetimeIndex`.
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https://api.github.com/repos/pandas-dev/pandas/issues/4925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4925/events | https://github.com/pandas-dev/pandas/issues/4925 | 19,863,776 | MDU6SXNzdWUxOTg2Mzc3Ng== | 4,925 | add tests for query/eval with groupby to officially support it | {
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```
In [34]: df = DataFrame({'gender': tm.choice(['Male', 'Female'], size=n), 'height': random.normal(66, 4, size=n)})
In [35]: df
Out[35]:
gender height
0 Female 75.295
1 Male 64.490
2 Male 68.218
3 Male 62.713
4 Male 63.967
5 Female 69.106
6 Male ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4926/events | https://github.com/pandas-dev/pandas/pull/4926 | 19,863,853 | MDExOlB1bGxSZXF1ZXN0ODUwNjg2OQ== | 4,926 | BUG: Fix bound checking for Timestamp() with dt64 #4065 | {
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To fix the bug, this change adds bounds checking to
_get_datetime64_nanos() for numpy datetimes that aren't already in [ns]
units.
Additionally, it updates _check_dts_bounds() to do the bound check just
based off the pandas_datetimestruct, by comparing to the minimum and
maximum valid pandas_datetimestru... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4927/events | https://github.com/pandas-dev/pandas/issues/4927 | 19,866,147 | MDU6SXNzdWUxOTg2NjE0Nw== | 4,927 | read_html() - Modifable user-agent | {
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e.g.,
``` python
import pandas as pd
url = r'http://www.transfermarkt.co.uk/en/premier-league/gegentorminuten/wettbewerb_GB1.html'
df = pd.read_html(url)
```
return an "ValueError: Invalid URL"
The same seem... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4928/events | https://github.com/pandas-dev/pandas/issues/4928 | 19,866,206 | MDU6SXNzdWUxOTg2NjIwNg== | 4,928 | better error message for to_datetime | {
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```
In [2]: to_datetime([1,'1'])
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-2-1d4cd9e078aa> in <module>()
----> 1 to_datetime([1,'1'])
/home/phillip/Documents/code/py/pandas/pandas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4929/events | https://github.com/pandas-dev/pandas/pull/4929 | 19,866,237 | MDExOlB1bGxSZXF1ZXN0ODUwNzczMw== | 4,929 | BUG: Fix FrozenNDArray & FrozenList string methods | {
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Previously were showing bad object reprs, now do this:
```
In [4]: mi = MultiIndex.from_arrays([range(10), range(10)])
In [5]: mi
Out[5]:
MultiIndex
[(0, 0), (1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6), (7, 7), (8, 8), (9, 9)]
In [6]: mi.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4930/events | https://github.com/pandas-dev/pandas/pull/4930 | 19,866,600 | MDExOlB1bGxSZXF1ZXN0ODUwNzg2Mg== | 4,930 | Scatterplot Update for #3473 | {
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2013-09-22T02:13:10Z | 2014-06-12T21:34:02Z | 2013-09-30T18:48:27Z | CONTRIBUTOR | null | Rebased Code for Scatterplot targetting bug #3473
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https://api.github.com/repos/pandas-dev/pandas/issues/4931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4931/events | https://github.com/pandas-dev/pandas/pull/4931 | 19,866,767 | MDExOlB1bGxSZXF1ZXN0ODUwNzkyNQ== | 4,931 | ENH/API: allow customization of requests thru opener | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4932/events | https://github.com/pandas-dev/pandas/issues/4932 | 19,866,885 | MDU6SXNzdWUxOTg2Njg4NQ== | 4,932 | Integers converted to floats when round-tripping through Excel | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2013-09-22T02:40:11Z | 2015-03-03T01:45:05Z | 2015-03-03T01:45:05Z | CONTRIBUTOR | null | 0.12 and current master have this problem (problem is that we were only testing frames with floats):
```
>>> df = DataFrame(range(10))
>>> df.dtypes
0 int64
dtype: object
>>> df.index
Int64Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=int64)
>>> df.to_excel('test1.xlsx')
>>> new_df = read_excel('test1.xlsx', 'sheet1'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4933/events | https://github.com/pandas-dev/pandas/pull/4933 | 19,866,944 | MDExOlB1bGxSZXF1ZXN0ODUwNzk5OA== | 4,933 | ENH: Make ExcelWriter & ExcelFile contextmanagers | {
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both can be used in with statements now. Makes it easier to use with multiple
writers, etc.
Plus touch up the docs on writers and such.
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https://api.github.com/repos/pandas-dev/pandas/issues/4934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4934/events | https://github.com/pandas-dev/pandas/issues/4934 | 19,868,237 | MDU6SXNzdWUxOTg2ODIzNw== | 4,934 | bool DataFrame arith operations error when size is large enough | {
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"labels_url": "htt... | 12 | 2013-09-22T05:21:27Z | 2014-04-09T12:17:29Z | 2014-04-09T12:17:29Z | CONTRIBUTOR | null | ``` python
import pandas as pd
import numpy as np
N = 1000000
bools = np.random.randn(N, 1) > 0
df = pd.DataFrame(bools)
df * df
```
```
/python2.7/site-packages/numexpr/necompiler.pyc in typeCompileAst(ast)
147 raise NotImplementedError(
148 "couldn't find matching opcod... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4935/events | https://github.com/pandas-dev/pandas/pull/4935 | 19,868,279 | MDExOlB1bGxSZXF1ZXN0ODUwODQ3MQ== | 4,935 | ENH: Better string representation for MultiIndex | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-09-22T05:28:08Z | 2014-06-20T15:58:33Z | 2013-09-27T00:30:19Z | CONTRIBUTOR | null | Fixes #3347.
All interested parties are invited to submit test cases. cc @y-p @hayd
---
Examples:
```
In [1]: import pandas as pd
In [2]: pd.MultiIndex.from_arrays([[1, 1, 1, 1], [1, 3, 5, 7], [9, 9, 1, 1]])
Out[2]:
MultiIndex(levels=[[1], [1, 3, 5, 7], [1, 9]]
labels=[[0, 0, 0, 0], [0, 1, 2, 3], [1, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4936/events | https://github.com/pandas-dev/pandas/pull/4936 | 19,874,862 | MDExOlB1bGxSZXF1ZXN0ODUxMDk5Mw== | 4,936 | ENH: Add 'records' outtype to to_dict method. | {
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2013-09-22T16:11:12Z | 2014-06-12T14:29:29Z | 2013-09-30T13:44:54Z | CONTRIBUTOR | null | `to_json` has a records type that turns a DataFrame into a
```
[{'a': 1, 'b': 3}, {'a': 2, 'b': 4}]
```
records json string. It'd be nice if you could do a similar thing but not have to go `json.loads`.
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https://api.github.com/repos/pandas-dev/pandas/issues/4937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4937/events | https://github.com/pandas-dev/pandas/issues/4937 | 19,875,871 | MDU6SXNzdWUxOTg3NTg3MQ== | 4,937 | BUG: convert_objects on > 2ndim raises | {
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In [40]: x = Panel(dict(A = dict(a = ['1','1.0'])))
In [41]: x
Out[41]:
<class 'pandas.core.panel.Panel'>
Dimensions: 1 (items) x 2 (major_axis) x 1 (minor_axis)
Items axis: A to A
Major_axis axis: 0 to 1
Minor_axis axis: a to a
In [42]: x.values
Out[42]:
array([[['1'],
['1.0']]], dtype=object)
In [43]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4938 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4938/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4938/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4938/events | https://github.com/pandas-dev/pandas/pull/4938 | 19,877,254 | MDExOlB1bGxSZXF1ZXN0ODUxMTc4MQ== | 4,938 | BUG: Fixed a bug in convert_objects for > 2 ndims GH4937 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4939/events | https://github.com/pandas-dev/pandas/issues/4939 | 19,880,888 | MDU6SXNzdWUxOTg4MDg4OA== | 4,939 | ix setting with enlargement results in stale caches. | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-09-22T22:41:13Z | 2013-09-23T00:25:20Z | 2013-09-23T00:24:59Z | CONTRIBUTOR | null | When doing setting with enlargement like:
``` python
import pandas as pd
panel = pd.util.testing.makePanel()
pd.ix[0] # get first item into cache
panel.ix[:, :, 'A+1'] = panel.ix[:, :, 'A'] + 1
assert "A+1" in panel.ix[0].columns # fails due to stale item cache
assert "A+1" in panel.ix[1].columns # succeeds
```
The s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4940/events | https://github.com/pandas-dev/pandas/issues/4940 | 19,880,937 | MDU6SXNzdWUxOTg4MDkzNw== | 4,940 | Adding new row on TimeDataFrame silently does nothing for integers. | {
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"description": "Related to indexing on s... | closed | false | null | [] | null | 4 | 2013-09-22T22:45:42Z | 2014-01-02T07:37:14Z | 2013-09-23T11:38:40Z | CONTRIBUTOR | null | ``` python
df = pd.util.testing.makeTimeDataFrame()
df.ix[100,:] = df.ix[0] # does nothing
df.ix[100.0, :] = df.ix[0] # adds a new row
```
Not sure why someone would do such lunacy, but figured I'd report it :P
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```
In [2]: pd.DataFrame.reindex?
Type: instancemethod
String Form:<unbound method DataFrame.reindex>
File: /mnt/home/jreback/pandas/pandas/core/generic.py
Definition: pd.DataFrame.reindex(self, *args, **kwargs)
Docstring:
Conform DataFrame to new index with optional filling logic, placing
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closes #4322
I've fixed the C parser portion. The issue there was that it did not handle the case where parse_dates is a dict.
Python parser fix yet to come. That test still fails.
Example:
s = '06-02-2013;13:00;1-000,215;0,215;0,185;0,205;0,00'
d = pd.read_csv(StringIO(s), header=None, parse_... | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-09-23T03:55:01Z | 2013-09-27T17:04:48Z | 2013-09-27T17:04:48Z | MEMBER | null | 0.4.2 should work (read: be tested) with pandas.
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```
In [1]: a = pd.Series([True, False, True], list('bca'))
In [2]: b = pd.Series([False, True, False], list('abc'))
In [3]: a & b
Out[3]:
b False
c False
a False
dtype: bool
```
Expected to use labels:
```
In [6]: index = a.in... | {
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The correct URL would be:
https://pypi.python.org/pypi/pandas/0.11.0/#downloads
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https://api.github.com/repos/pandas-dev/pandas/issues/4949 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4949/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4949/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4949/events | https://github.com/pandas-dev/pandas/issues/4949 | 19,894,576 | MDU6SXNzdWUxOTg5NDU3Ng== | 4,949 | Please explain: why changed to markdown? | {
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you changed to markdown.
Why?
It had stopped to daily Ubuntu builds. So I am just interested in the reason.
After a short explanation, you may close here.
Thanks.
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"labels_url": "htt... | 29 | 2013-09-23T12:23:36Z | 2014-06-12T17:47:11Z | 2014-03-28T14:47:49Z | CONTRIBUTOR | null | I added the functions rolling_cov_pairwise(), expanding_cov_pairwise() and ewmcov_pairwise(). I also modified the behaviour of rolling_corr_pairwise(), expanding_corr_pairwise() and ewmcorr_pairwise() slightly so that now these can be computed between different DataFrames and the resulting matrices at each time slice w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4952 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4952/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4952/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4952/events | https://github.com/pandas-dev/pandas/pull/4952 | 19,915,608 | MDExOlB1bGxSZXF1ZXN0ODUyNzg3NQ== | 4,952 | BUG: pd.isnull with tuple argumnet should return same results as list (#4872) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4953 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4953/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4953/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4953/events | https://github.com/pandas-dev/pandas/pull/4953 | 19,928,299 | MDExOlB1bGxSZXF1ZXN0ODUzMzU4Ng== | 4,953 | BUG: Make sure series-series boolean comparions are label based (GH4947) | {
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You ask for a boolean comparsion, that is what you get
```
In [1]: a = Series([True, False, True], list('bca'))
In [2]: b = Series([False, True, False], list('abc'))
In [19]: a
Out[19]:
b True
c False
a True
dtype: bool
In [20]: b
Out[20]:
a False
b True
c False
dtype: bool
In ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4955 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4955/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4955/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4955/events | https://github.com/pandas-dev/pandas/pull/4955 | 19,946,671 | MDExOlB1bGxSZXF1ZXN0ODU0MjIwNg== | 4,955 | ENH: Added colspecs detection to read_fwf | {
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Implemented an algorithm that uses a bitmask to detect the gaps between the columns.
Also the reader buffers the lines used for detection in case it's input is not seek-able.
Added tests.
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https://api.github.com/repos/pandas-dev/pandas/issues/4956 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4956/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4956/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4956/events | https://github.com/pandas-dev/pandas/issues/4956 | 19,952,001 | MDU6SXNzdWUxOTk1MjAwMQ== | 4,956 | ValueError in HDFStore column append throws a TypeError | {
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ValueError's message wasn't being converted to a string.
closes #4956
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even clear why the existing code has individual flavors, given that it
appears to only accept SQLAlchemy objects anyways). Also would be
helpful to cover additional cases where we get connections and want to
convert to cursors.
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https://api.github.com/repos/pandas-dev/pandas/issues/4959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4959/events | https://github.com/pandas-dev/pandas/issues/4959 | 19,954,805 | MDU6SXNzdWUxOTk1NDgwNQ== | 4,959 | Remove unused tmpfile field in ExcelFile | {
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See: https://github.com/pydata/pandas/blob/master/pandas/io/excel.py#L110
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https://api.github.com/repos/pandas-dev/pandas/issues/4960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4960/events | https://github.com/pandas-dev/pandas/issues/4960 | 19,955,264 | MDU6SXNzdWUxOTk1NTI2NA== | 4,960 | Duplicate items on Panel supported? | {
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import pandas as pd
import numpy as np
data = np.random.randn(5, 100, 5)
panel = pd.Panel(data, items=list("AACDE"))
panel.iloc[0] # ValueError: Wrong number of dimensions
fr = panel.loc["E"]
fr.values.shape # (5, 100, 5) wrong
```
So this is another contrived example that I got from just running a batte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4961/events | https://github.com/pandas-dev/pandas/issues/4961 | 19,956,653 | MDU6SXNzdWUxOTk1NjY1Mw== | 4,961 | Change ExcelFile to accept a workbook for the path_or_buf argument | {
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] | closed | false | null | [] | null | 3 | 2013-09-24T14:47:46Z | 2013-09-24T15:02:11Z | 2013-09-24T14:52:32Z | CONTRIBUTOR | null | The issue can be reproduced at current 'master' as follows:
``` python
$ python
Python 2.7.3 (default, Jul 5 2013, 08:39:51)
[GCC 4.6.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas
>>> pandas.__version__
'0.12.0-21-g3dab215'
>>> unicode(pandas.Index([0]).max())
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https://api.github.com/repos/pandas-dev/pandas/issues/4964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4964/events | https://github.com/pandas-dev/pandas/issues/4964 | 19,986,486 | MDU6SXNzdWUxOTk4NjQ4Ng== | 4,964 | rolling_apply only applicable to numeric columns | {
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I discovered that the rolling_apply function is only applicable to numeric columns. I think this should be changed as this seems too limited to me. Let's take the following example,
```
import datetime as DT
df = pd.DataFrame({
'Buyer': 'Carl Mark Carl Joe Joe Carl'.split(),
'Quantity':... | {
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```
In [1]: df = DataFrame(randint(10, size=(10, 1)), columns=['a'])
In [2]: df['dates'] = date_range('20010101', periods=len(df))
In [3]: df.a == df.dates
Out[3]:
0 False
1 False
2 False
3 False
4 False
5 False
6 False
7 False
8 False
9 False
dtype: bool
```
doesn't work:
```
I... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4970/events | https://github.com/pandas-dev/pandas/pull/4970 | 20,000,024 | MDExOlB1bGxSZXF1ZXN0ODU3MDU3MA== | 4,970 | API: raise a TypeError on invalid comparison ops on Series (e.g. integer/datetime) GH4968 | {
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Currently Panel arith methods only work with scalars.
https://github.com/jreback/pandas/commit/adf9d48bf2cca5f25c00f780825c36feafa05bf1
removes the explicit check, but need to make sure it works with tests.
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https://api.github.com/repos/pandas-dev/pandas/issues/4972 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4972/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4972/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4972/events | https://github.com/pandas-dev/pandas/pull/4972 | 20,002,525 | MDExOlB1bGxSZXF1ZXN0ODU3MTk2NQ== | 4,972 | CLN: change print to print() in docs | {
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`print` statements refactoring
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-09-24T21:23:23Z | 2014-06-14T18:07:23Z | 2013-09-24T22:43:17Z | CONTRIBUTOR | null | Changed all print statements in comments docstrings and supporting scripts to print "function calls".
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https://api.github.com/repos/pandas-dev/pandas/issues/4974 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4974/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4974/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4974/events | https://github.com/pandas-dev/pandas/pull/4974 | 20,010,595 | MDExOlB1bGxSZXF1ZXN0ODU3NjY2Mg== | 4,974 | TST/CLN: pare down the eval test suite | {
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```
$ nosetests pandas/computation/tests/test_eval.py 1 ↵
......../home/phillip/Documents/code/py/pandas/pandas/core/frame.py:3088: FutureWarning: TimeSeries broadcasting along DataFrame index by de... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4975 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4975/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4975/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4975/events | https://github.com/pandas-dev/pandas/issues/4975 | 20,014,971 | MDU6SXNzdWUyMDAxNDk3MQ== | 4,975 | BUG: merge fails to rename when name already exists | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-09-25T00:06:26Z | 2013-09-26T00:21:08Z | 2013-09-26T00:21:08Z | CONTRIBUTOR | null | Trying to merge a bunch of files in a loop. I realize there's a better way to do this and a workaround, but it took me a second to realize what was going on here.
```
w = pd.DataFrame(np.random.random((4,2)), columns=["x", "y"])
x = pd.DataFrame(np.random.random((4,2)), columns=["x", "y"])
y = pd.DataFrame(np.random.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4976 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4976/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4976/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4976/events | https://github.com/pandas-dev/pandas/pull/4976 | 20,018,444 | MDExOlB1bGxSZXF1ZXN0ODU4MDYyNg== | 4,976 | FIX: JSON support for non C locales | {
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Tested on Linux and Windows.
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https://api.github.com/repos/pandas-dev/pandas/issues/4977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4977/events | https://github.com/pandas-dev/pandas/issues/4977 | 20,019,934 | MDU6SXNzdWUyMDAxOTkzNA== | 4,977 | read_html failed parsing financial statements on WSJ.com | {
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```
import pandas as pd
url = 'http://quotes.wsj.com/CN/XSHG/600000/financials/annual/balance-sheet'
tb = pd.read_html(url)
print(tb[0])
```
Check the contents. Row and column names are parsed correctly, but it seems that all numbers including ',' or in parenthe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4978 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4978/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4978/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4978/events | https://github.com/pandas-dev/pandas/issues/4978 | 20,021,896 | MDU6SXNzdWUyMDAyMTg5Ng== | 4,978 | Support for Excel Files in MHT (aka MHTML) Format | {
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Currently Pandas cannot handle these files, but rather produce:
```
XLRDError: Unsupported format, or corrupt file: Expected BOF record; found '\xef\xbb\xbfMIME-'
```
For example see: http://www.sec.gov/Archives/edgar/data/1490281/... | {
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Currently Panel will allow us to expand along the _items_ dimension and will align cells in added DataFrames to the current _major_ and _minor_ indexes. However, if our DataFrame has a _major_ or _minor_ indexes not present in the original Panel, our append will silently fail (NaN s will populate the who... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4982 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4982/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4982/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4982/events | https://github.com/pandas-dev/pandas/issues/4982 | 20,051,798 | MDU6SXNzdWUyMDA1MTc5OA== | 4,982 | Timestamp comparisons to Series should work on either side of the comparison operator | {
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In [2]: df = DataFrame({'dates': date_range('20010101', periods=10)})
In [3]: Timestamp('20010109') < df.dates
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-3-713f2b228d0e> in <module>()
----> 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4984 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4984/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4984/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4984/events | https://github.com/pandas-dev/pandas/issues/4984 | 20,058,105 | MDU6SXNzdWUyMDA1ODEwNQ== | 4,984 | Inconsistency in return value of mean, median, and quantile on timedelta64[ns] series | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2013-09-25T17:48:38Z | 2013-09-25T20:07:40Z | 2013-09-25T20:07:40Z | NONE | null | If I have a Series of `timedelta64[ns]` (the result of a `diff()` on a Timestamp Series in my case), doing mean, median, and quantile operations on that series returns inconsistent values. Example:
```
In [68]: s
Out[68]:
0 00:00:14.020705
1 00:00:14.020705
2 00:00:14.020705
3 00:00:28.041410
4 00:00:28.041... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4985 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4985/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4985/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4985/events | https://github.com/pandas-dev/pandas/pull/4985 | 20,063,155 | MDExOlB1bGxSZXF1ZXN0ODYwNDkxNQ== | 4,985 | API: properly box numeric timedelta ops on Series (GH4984) | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-09-25T19:10:51Z | 2014-06-27T14:49:50Z | 2013-09-25T20:07:40Z | CONTRIBUTOR | null | closes #4984
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https://api.github.com/repos/pandas-dev/pandas/issues/4986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4986/events | https://github.com/pandas-dev/pandas/issues/4986 | 20,067,175 | MDU6SXNzdWUyMDA2NzE3NQ== | 4,986 | pd.isnull(Panel) errors when Panel is empty | {
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"description": "2014-02-3: previous version released",
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
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"labels_url": "htt... | 2 | 2013-09-25T20:17:56Z | 2014-02-15T21:16:56Z | 2014-02-15T21:16:56Z | CONTRIBUTOR | null | related #3551
``` python
import pandas as pd
pd.isnull(pd.DataFrame()) # works
pd.isnull(pd.Panel()) # IndexError: index 0 is out of bounds for axis 0 with size 0
```
While the above is contrived. I hit the error when building out a `slice(0,0)` programmatically like the following:
``` python
panel = pd.util.testin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4987 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4987/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4987/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4987/events | https://github.com/pandas-dev/pandas/issues/4987 | 20,071,230 | MDU6SXNzdWUyMDA3MTIzMA== | 4,987 | ENH: to_html improvement | {
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"color": "006b7... | closed | false | null | [] | {
"closed_at": "2015-03-23T10:50:37Z",
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"followers_url": "https://api.github.com/users/jr... | 4 | 2013-09-25T21:27:55Z | 2015-03-06T23:06:43Z | 2015-03-06T23:06:43Z | CONTRIBUTOR | null | I know that the whitespace doesn't meter in HTML but this is really a strange behaviour:
``` python
>>> df = pd.read_html(
'http://en.wikipedia.org/wiki/Vancouver',
match='Municipality', header=0
)[0]
>>> df
0 Country Municipality NaN
1 Ukraine ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4988 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4988/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4988/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4988/events | https://github.com/pandas-dev/pandas/issues/4988 | 20,073,572 | MDU6SXNzdWUyMDA3MzU3Mg== | 4,988 | ENH: inconsistent naming convention for read_csv and read_excel column selection | {
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"followers_url": "https://api.github.com/users/jr... | 12 | 2013-09-25T22:12:05Z | 2017-10-04T23:57:16Z | 2017-10-04T23:56:21Z | CONTRIBUTOR | null | `read_csv` uses the `usecols` parameter, and the `read_excel` function uses `parse_cols` parameter. Both parameter do basically the same thing:
```
usecols : array-like
Return a subset of the columns.
Results in much faster parsing time and lower memory usage.
```
```
parse_cols : int or list, default None
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closes #4975
```
In [1]: w = DataFrame(np.random.randn(4,2), columns=["x", "y"])
In [2]: x = DataFrame(np.random.randn(4,2), columns=["x", "y"])
In [3]: y = DataFrame(np.random.randn(4,2), columns=["x", "y"])
In [4]: z = DataFrame(np.random.randn(4,2), columns=["x", "y"])
In [5]: dta = x.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4991 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4991/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4991/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4991/events | https://github.com/pandas-dev/pandas/pull/4991 | 20,089,155 | MDExOlB1bGxSZXF1ZXN0ODYxNjc3NQ== | 4,991 | BUG: Warn when dtypes differ in between chunks in csv parser | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4992 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4992/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4992/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4992/events | https://github.com/pandas-dev/pandas/pull/4992 | 20,092,280 | MDExOlB1bGxSZXF1ZXN0ODYxODQ1MQ== | 4,992 | TST: fix indexing test for windows failure | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4993 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4993/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4993/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4993/events | https://github.com/pandas-dev/pandas/issues/4993 | 20,101,985 | MDU6SXNzdWUyMDEwMTk4NQ== | 4,993 | append : NaT should be the default for missing values for datetime64 columns | {
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Here is a issue I discovered in pandas version '0.12.0' (already present in preview version I think)
Issue:
When appending a DataFrame (with a new datetime64 column) to an existing one, the default value for missing values should be a pandas.tslib.NaT.
Example:
``` python
import pandas as pd
import datetime ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4995 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4995/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4995/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4995/events | https://github.com/pandas-dev/pandas/pull/4995 | 20,111,092 | MDExOlB1bGxSZXF1ZXN0ODYyODc2OQ== | 4,995 | BUG: Fix appending when dtypes are not the same (error showing mixing float/np.datetime64 (GH4993) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4996 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4996/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4996/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4996/events | https://github.com/pandas-dev/pandas/issues/4996 | 20,120,495 | MDU6SXNzdWUyMDEyMDQ5NQ== | 4,996 | Changing columns with `+=` gives UnboundLocalError | {
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In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: np.random.seed(10)
In [4]: a = np.random.randint(0, 20, (6, 5))
In [5]: df = pd.DataFrame(a, columns=list('abcde'))
In [6]: df
Out[6]:
a b c d e
0 9 4 15 0 17
1 16 17 8 9 0
2 10 8 4 19 16
3 4 15 11 11 1
4 8 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4997 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4997/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4997/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4997/events | https://github.com/pandas-dev/pandas/pull/4997 | 20,126,484 | MDExOlB1bGxSZXF1ZXN0ODYzNzcyMw== | 4,997 | added halflife to exponentially weighted moving functions | {
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The half life is basically just the number of periods in which the exponent... | {
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