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https://api.github.com/repos/pandas-dev/pandas/issues/7101 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7101/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7101/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7101/events | https://github.com/pandas-dev/pandas/issues/7101 | 33,271,242 | MDU6SXNzdWUzMzI3MTI0Mg== | 7,101 | Truncated view for MultiIndex pd.Series broken | {
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Constraining max_rows resu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7102 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7102/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7102/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7102/events | https://github.com/pandas-dev/pandas/pull/7102 | 33,318,763 | MDExOlB1bGxSZXF1ZXN0MTU3NzM2Njk= | 7,102 | TYPO: idxmax is maximum, not minimum | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7103 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7103/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7103/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7103/events | https://github.com/pandas-dev/pandas/issues/7103 | 33,385,613 | MDU6SXNzdWUzMzM4NTYxMw== | 7,103 | ENH: full SQL support for datetime64 values | {
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**Postrgresql** (psycopg2)
- writing and reading works
**SQLite**
- writing and reading works with sqlalchemy
- reading works with `read_sql_table`, and you get strings with `read_sql_query` (sqlite has no native datetime format -> nothing... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7104 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7104/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7104/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7104/events | https://github.com/pandas-dev/pandas/issues/7104 | 33,389,898 | MDU6SXNzdWUzMzM4OTg5OA== | 7,104 | Adding YQL (Yahoo Query Language) to io | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2014-05-13T11:35:57Z | 2016-11-11T10:22:53Z | 2016-11-11T10:22:49Z | NONE | null | Browsing through 'Python for Data Analysts' I expected pandas used YQL to get finance data, but going though it more deeply it seems not be a case. I think it might be nice to have YQL as additional 'reader' in the io sub-module. There is documentation here: https://developer.yahoo.com/yql/
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"labels_url": "htt... | 1 | 2014-05-13T11:38:23Z | 2014-05-13T21:39:52Z | 2014-05-13T21:39:52Z | CONTRIBUTOR | null | This is only for the info repr. It's not a problem with `df.info()`.
http://nbviewer.ipython.org/gist/TomAugspurger/4c83a646ffb93d5ee978
From a console attached to the same session:
``` python
In [1]: df
Out[5]:
<class 'pandas.core.frame.DataFrame'>
Int64Index: 2 entries, 0 to 1
Data columns (total 2 columns):
0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7106/events | https://github.com/pandas-dev/pandas/issues/7106 | 33,391,220 | MDU6SXNzdWUzMzM5MTIyMA== | 7,106 | BUG: multiindex slicers requires a unique index | {
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"labels_url": "htt... | 0 | 2014-05-13T11:57:08Z | 2014-05-13T17:47:22Z | 2014-05-13T12:54:42Z | CONTRIBUTOR | null | This is actually not required, and so should work I think
(requires lexsorting only)
```
In [70]: df = DataFrame(dict(A = ['foo','foo','foo','foo'], B = ['a','a','a','a'], C = [1,2,1,3], D = [1,2,3,4])).set_index(['A','B','C']).sortlevel()
In [71]: df
Out[71]:
D
A B C
foo a 1 1
1 3
2 2
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https://api.github.com/repos/pandas-dev/pandas/issues/7107 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7107/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7107/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7107/events | https://github.com/pandas-dev/pandas/pull/7107 | 33,392,682 | MDExOlB1bGxSZXF1ZXN0MTU4MTgzNzA= | 7,107 | BUG: remove unique requirement rom MultiIndex.get_locs (GH7106) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7108 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7108/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7108/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7108/events | https://github.com/pandas-dev/pandas/pull/7108 | 33,396,865 | MDExOlB1bGxSZXF1ZXN0MTU4MjEwMzk= | 7,108 | API: allow option truncate for display.show_dimensions to only show dimensions if truncated (GH6457) | {
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"labels_url": "htt... | 9 | 2014-05-13T13:20:41Z | 2014-06-13T10:12:07Z | 2014-05-14T00:47:58Z | CONTRIBUTOR | null | closes #6547
add the option 'trunctate'.
Should this be the new default?????
```
dfd = pd.DataFrame(np.arange(25).reshape(-1,5), index=[0,1,2,3,4], columns=[0,1,2,3,4])
# show dimensions only if truncated
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"followers_url": "https://api.github.com/users/jorisva... | 16 | 2014-05-13T13:39:47Z | 2017-07-09T12:04:03Z | 2017-07-09T12:03:55Z | CONTRIBUTOR | null | I noticed xlsx files I was exporting from Pandas with to_excel weren't opening in Numbers and Preview on my Mac. They did, however, open in Excel and Google Drive.
I created a new virtualenv and installed Pandas and openpyxl with pip:
```
numpy==1.8.1
openpyxl==1.8.6
pandas==0.13.1
python-dateutil==2.2
pytz==2014.2
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https://api.github.com/repos/pandas-dev/pandas/issues/7110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7110/events | https://github.com/pandas-dev/pandas/pull/7110 | 33,401,089 | MDExOlB1bGxSZXF1ZXN0MTU4MjM1OTA= | 7,110 | BUG: Escape `<` and `>` in info _repr_html_ | {
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"labels_url": "htt... | 4 | 2014-05-13T14:05:27Z | 2014-07-05T22:50:19Z | 2014-05-13T21:40:26Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas/issues/7105
Before: http://nbviewer.ipython.org/gist/TomAugspurger/4c83a646ffb93d5ee978
After: http://nbviewer.ipython.org/gist/TomAugspurger/81bf15086864ca090bb6
After conosle:
```
In [28]: df
Out[5]:
<class 'pandas.core.frame.DataFrame'>
Int64Index: 2 entries, 0 to 1
Data ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7111 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7111/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7111/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7111/events | https://github.com/pandas-dev/pandas/issues/7111 | 33,402,733 | MDU6SXNzdWUzMzQwMjczMw== | 7,111 | DataFrameGroupBy boxplot fails after updating Pandas | {
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"followers_url": "https://api.github.com/users/jr... | 17 | 2014-05-13T14:23:37Z | 2014-06-17T12:02:49Z | 2014-06-17T12:02:49Z | NONE | null | The following call to create boxplots of a `DataFrameGroupBy` object used to plot as expected:
```
language_dataset.groupby('bimodal').boxplot(column='age')
```
However, after updating to the current master, it fails with an `AttributeError`:
```
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https://api.github.com/repos/pandas-dev/pandas/issues/7112 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7112/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7112/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7112/events | https://github.com/pandas-dev/pandas/pull/7112 | 33,402,970 | MDExOlB1bGxSZXF1ZXN0MTU4MjQ3Nzg= | 7,112 | BUG: tzinfo lost when concatenating multiindex arrays | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-05-13T14:25:54Z | 2014-06-14T22:31:57Z | 2014-06-04T00:12:40Z | MEMBER | null | Closes #6606.
The problem is caused by `MultiIndex.append`. Based on current master, `MultiIndex.append` works as below. The fix covers case1 and case2 which the result will be `MultiIndex`.
The fix is applied to `concat`, and also `pivot_table` work as expected.
```
import pandas as pd
idx1 = pd.Index([1.1, 1.2,... | {
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xref: #5534
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from here originally (not the bug, the data/question):
http://stackoverflow.com/questions/23635647/how-to-force-pandas-dataframe-apply-on-a-grouped-dataframe
```
In [30]: df = pd.DataFrame({'a':range(5), 'b': range(5, 10)})
In [31]: df
Out[31]:
a b
0 0 5
1 1 6
2 2 7
3 3 8
4 4 9
[... | {
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This fails on numpy master for some reason, can you investigate: https://travis-ci.org/pydata/pandas/jobs/25073475
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for considency with the new 'truncate' option
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https://api.github.com/repos/pandas-dev/pandas/issues/7119 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7119/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7119/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7119/events | https://github.com/pandas-dev/pandas/issues/7119 | 33,432,613 | MDU6SXNzdWUzMzQzMjYxMw== | 7,119 | BUG: na_values with a dict of scalars | {
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... | 9 | 2014-05-13T19:52:48Z | 2016-09-11T17:55:04Z | 2016-09-11T17:52:55Z | CONTRIBUTOR | null | I can't get `na_values` to work with a dictionary.
```
from StringIO import StringIO
import pandas as pd
dta = pd.read_csv(StringIO("""var1,var2,var3,var4
1,2,3,MISSING
2,3,4,4.5
"""), na_values={3 : 'MISSING'})
dta = pd.read_csv(StringIO("""var1,var2,var3,var4
1,2,3,MISSING
2,3,4,4.5
"""), na_values={'var4' : 'MISS... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7120 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7120/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7120/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7120/events | https://github.com/pandas-dev/pandas/pull/7120 | 33,436,503 | MDExOlB1bGxSZXF1ZXN0MTU4NDU4NDA= | 7,120 | SQL: add release notes for refactor (GH6292) | {
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WIP for now, but comments welcome. Have to add to release.rst.
@jreback Should I mark the new sql as experimental? (and if so, where should I do this?)
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https://api.github.com/repos/pandas-dev/pandas/issues/7121 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7121/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7121/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7121/events | https://github.com/pandas-dev/pandas/issues/7121 | 33,437,216 | MDU6SXNzdWUzMzQzNzIxNg== | 7,121 | df.sortlevel() vs df.sort_index() | {
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As far as I can tell, for a dataframe like:
```
df = pd.DataFrame({'A' : [np.random.random_integers(10) for x in xrange(500)],
'B' : [np.random.random_integers(10) for x in xrange(500)],
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xref: #6547
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`tests/test_groupby/test_series_groupby_plotting_nomially_works`
started failing (works on the first, fails on the 2nd)
on 3.4/windows
https://github.com/pydata/pandas/commit/cd422c2f256ef5bd2a8315e1c177c9e1d8947d4a
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```
>>> df = pd.DataFrame(np.arange(6).reshape(3,-1), columns=['A', 'B'])
>>> print df.to_latex(header=False)
\begin{tabular}{lrr}
\toprule
0 & 0 & 1 \\
\midr... | {
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```
In [45]: paste
>>> s1 = Series([1, True, 3, 5], index=['a', 'b', 'c', 'e'])
## -- End pasted text --
In [46]: s1
Out[46]:
a 1
b True
c 3
e 5
dtype: object
In [47]: s1.convert_objects(convert_numeric=True)
Out[47]:
a 1
b NaN
c 3
e... | {
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... | 3 | 2014-05-14T16:08:17Z | 2015-07-16T00:08:25Z | 2015-07-16T00:08:25Z | CONTRIBUTOR | null | seems that we could piggy back on this for testing on OSX, not sure how difficult this is
https://groups.google.com/forum/#!topic/pydata/Urr55F8b-eU
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s = Series(np.random.choice(list('abcde'), size=(1000)))
ax = s.value_counts().plot(kind='bar')
ax.set_ylim(-10, 250)
plt.gcf().savefig('asdf.png')
```
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Came up in https://github.com/pydata/pandas/pull/7088#issuecomment-43034004
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https://api.github.com/repos/pandas-dev/pandas/issues/7130 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7130/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7130/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7130/events | https://github.com/pandas-dev/pandas/pull/7130 | 33,520,346 | MDExOlB1bGxSZXF1ZXN0MTU4OTU0MTU= | 7,130 | BUG/API: info repr should honor display.max_info_columns | {
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I think this is what we agreed on. The tests are split up. In `test_format` we do more of the following global settings tests. The rest are in `test_frame` which directly call `df.info()` and I'm basically testing that the kwargs there override the global settings.
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https://api.github.com/repos/pandas-dev/pandas/issues/7131 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7131/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7131/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7131/events | https://github.com/pandas-dev/pandas/issues/7131 | 33,524,658 | MDU6SXNzdWUzMzUyNDY1OA== | 7,131 | DEPR: 3.4 deprecations | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2014-05-14T19:32:05Z | 2014-07-01T17:52:42Z | 2014-07-01T17:52:25Z | CONTRIBUTOR | null | - [x] file open with mode of `'rU'`: https://docs.python.org/3/library/fileinput.html (in test_sql.py), #7625
closed by #7204
- [x] to_csv writing with floating point chunksize
- [x] plotting with floating point axes slices
closed by #7162, #7164, #7165, #7166, #7172, #7182
- [x] `assert_` to `assertTrue`
- [x] `asse... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7132/events | https://github.com/pandas-dev/pandas/issues/7132 | 33,526,989 | MDU6SXNzdWUzMzUyNjk4OQ== | 7,132 | API: add "show_counts" arg to info | {
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"f... | 0 | 2014-05-14T19:59:17Z | 2021-04-11T04:35:13Z | null | CONTRIBUTOR | null | From https://github.com/pydata/pandas/issues/6939, @jorisvandenbossche made the suggestion that
> we could add a keyword argument like show_counts (or another name) to specify if you want to show the non-null counts (to be able to override the max_info_rows option for a specific info call)
scheduling for .14.1 unless... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7133/events | https://github.com/pandas-dev/pandas/pull/7133 | 33,587,105 | MDExOlB1bGxSZXF1ZXN0MTU5MzQ2NzQ= | 7,133 | ENH: Implement "standard error of the mean" | {
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As discussed in issue #6897, here is a pull request implemented "standard error of the mean" (sem) calculations in pandas. This is an extremely common but very simple statistical test. It is used pretty universally in scientific data analysis.
sem is implemented in nanops, generic, and groupby. Unit t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7134 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7134/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7134/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7134/events | https://github.com/pandas-dev/pandas/pull/7134 | 33,589,504 | MDExOlB1bGxSZXF1ZXN0MTU5MzYxMjQ= | 7,134 | ENH/VIS: KDE plot can be cumulative | {
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```
import pandas as pd
import numpy as np
s = pd.Series(np.random.randn(100))
s.plot(kind='kde', cumulative=True)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/7135 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7135/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7135/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7135/events | https://github.com/pandas-dev/pandas/pull/7135 | 33,598,705 | MDExOlB1bGxSZXF1ZXN0MTU5NDE3OTA= | 7,135 | DOC: Update EPD link to Canopy | {
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- [ ] change default of `return_type` from None to `'axes'`
- [ ] update return_type section in visualization.rst
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"labels_url": "htt... | 0 | 2014-05-15T17:03:14Z | 2014-05-16T14:03:21Z | 2014-05-16T14:03:21Z | CONTRIBUTOR | null | only shows on the numpy 1.9-dev build as this is the only one to pull a current version of pytz
Bug report for pytz
https://bugs.launchpad.net/pytz/+bug/1319939
```
INSTALLED VERSIONS
------------------
commit: 592a5379dea49f6e88e736a651bf82a00ea4fcc8
python: 2.7.3.final.0
python-bits: 64
OS: Linux
OS-release: 2.6.32... | {
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"f... | 8 | 2014-05-15T19:47:36Z | 2021-01-14T16:22:48Z | 2021-01-14T16:22:48Z | CONTRIBUTOR | null | `df.iloc[[0,1],[0,1]]` means return the square 0-1 rows and 0-1 columns
might be nice to have a way to mean return the _coordinates_ `(0,0),(0,1)`
related #7522
http://stackoverflow.com/questions/23686561/slice-a-pandas-dataframe-by-an-array-of-indices-and-column-names/23686855#23686855
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I have a postgresql table with a column with type `timestamp with time zone`. Just reading this table (`sql.read_sql_table("everyaware_by_passage", engine)`) did not work, because of a datetime column: `ValueError: Tz-aware datetime.datetime cannot be converted to datetime64 unless utc=True... | {
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```
In [1]: from pandas import DataFrame
In [2]: import numpy as np
In [3]: df = DataFrame(index=range(2))
In [4]: df['a'] = True
In [5]: df.a
Out[5]:
0 True
1 True
Name: a, dtype: bool
In [6]: df.rep... | {
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... | 4 | 2014-05-16T12:03:32Z | 2017-07-06T22:42:32Z | 2017-07-06T22:42:32Z | NONE | null | When using the pivot_table command, the data type of a float64 column changes to object when I include a boolean column in the pivot table. This is unrelated to issue #713.
I'm using
```
python: 2.7.3.final.0
pandas: 0.13.1
```
For example, I've created the table below with two float64 columns a,b and one boolea... | {
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In 0.13.1:
```
In [28]: df = pd.DataFrame(np.random.randn(9).reshape(3,3), index=[0.1,0.2,0.2],
columns=['a','b','c'])
In [29]: df
Out[29]:
a b c
0.1 1.711117 1.218853 -1.322363
0.2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7145 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7145/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7145/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7145/events | https://github.com/pandas-dev/pandas/issues/7145 | 33,680,343 | MDU6SXNzdWUzMzY4MDM0Mw== | 7,145 | Timestamp.max truncation when assigning to DataFrame using mask | {
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Haven't quite managed to get to the bottom of this but here is a standalone repro of the problem.
```
In [1]: from datetime import datetime, timedelta
In [2]: import pandas as pd
In [3]: pd
Out[3]: <module 'pan... | {
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"default"... | closed | false | null | [] | null | 1 | 2014-05-17T01:12:58Z | 2015-01-18T21:35:52Z | 2015-01-18T21:35:52Z | CONTRIBUTOR | null | This is a WIP and discuss PR :construction: for #3186
Adding small Writer class to have short-lived self.writer in CSVFomatter just for the header line. It is closed after the header was written.
Adding new lib.pyx function write_csv_rows_fast that manages file open/close on its own with self.path_or_buf from CSVFormm... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7148 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7148/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7148/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7148/events | https://github.com/pandas-dev/pandas/pull/7148 | 33,720,362 | MDExOlB1bGxSZXF1ZXN0MTYwMTU3OTk= | 7,148 | TST Fix AttributeError: 'iterator' object has no attribute 'next' on Python 3 | {
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======================================================================
ERROR: test_pie_series (pandas.tests.test_graphics.TestSeriesPlots)
----------------------------------------------------------------------
Traceback (most recent call last):
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https://api.github.com/repos/pandas-dev/pandas/issues/7149 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7149/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7149/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7149/events | https://github.com/pandas-dev/pandas/pull/7149 | 33,722,942 | MDExOlB1bGxSZXF1ZXN0MTYwMTcwMjA= | 7,149 | BUG: allow dup indexing with Float64Index | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7150 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7150/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7150/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7150/events | https://github.com/pandas-dev/pandas/issues/7150 | 33,722,963 | MDU6SXNzdWUzMzcyMjk2Mw== | 7,150 | ix should return a Series on duplicate selection | {
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need to do an additional check not only skip if we don't have scipy, but must have a recent version (not exactly sure when gaussian_kde was adde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7152 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7152/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7152/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7152/events | https://github.com/pandas-dev/pandas/issues/7152 | 33,729,240 | MDU6SXNzdWUzMzcyOTI0MA== | 7,152 | TST: tests compat on 2.6 | {
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```
======================================================================
ERROR: test_ts_plot_format_coord (pandas.tseries.tests.test_plotting.TestTSPlot)
----------------------------------------------------------------------
Traceback (most recent call last):
File ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7154 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7154/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7154/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7154/events | https://github.com/pandas-dev/pandas/issues/7154 | 33,730,139 | MDU6SXNzdWUzMzczMDEzOQ== | 7,154 | DOC: looks like wiki can have improved formatting | {
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"f... | 0 | 2014-05-17T14:41:20Z | 2021-04-11T04:35:31Z | null | CONTRIBUTOR | null | http://stackoverflow.com/questions/23709811/best-way-to-sum-group-value-counts-in-pandas/23712433?noredirect=1#comment36441762_23712433
any of these look palatable?
`df.groupby('c',as_index='exclude').apply(....)`
`df.groupby('c')['~c'].apply(...)`
`df.groupby('c',filter='c')`
`df.groupby('c',filter=True)`
rather tha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7156 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7156/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7156/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7156/events | https://github.com/pandas-dev/pandas/issues/7156 | 33,732,276 | MDU6SXNzdWUzMzczMjI3Ng== | 7,156 | BUG: Some date-like Offset.apply resets time | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-05-17T15:03:36Z | 2014-06-11T14:08:31Z | 2014-06-11T14:08:31Z | MEMBER | null | There seems to be inconsistencies regarding time (hours, minutes, etc) handling of `Offset.apply`. Maybe all these should preserve hours/minutes like `DayOffset`? Or any other rules?
Followings are results offset(n=1) applied to `datetime(2011, 1, 1, 9, 0)`.
```
# Offsets which preserves time
(<Day>, datetime.datetim... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7157 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7157/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7157/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7157/events | https://github.com/pandas-dev/pandas/pull/7157 | 33,732,616 | MDExOlB1bGxSZXF1ZXN0MTYwMjEyMzE= | 7,157 | BUG: hashtable memory error causes test_factorize_nan crash | {
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"labels_url": "htt... | 6 | 2014-05-17T15:23:33Z | 2014-06-16T02:52:03Z | 2014-05-18T19:57:35Z | CONTRIBUTOR | null | ObjectVector class resizes its array without reseting its capacity count, so subsequent appends are invalid.
Mac OS 10.9, Python 2.7.6, numpy 1.9.0.dev-ee49411.
```
==57654== Invalid write of size 8
==57654== at 0x137F856: __pyx_f_6pandas_9hashtable_12ObjectVector_append (in /Users/mtk/Projects/pandas/pandas/hash... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7158/events | https://github.com/pandas-dev/pandas/issues/7158 | 33,733,272 | MDU6SXNzdWUzMzczMzI3Mg== | 7,158 | How should DataFrame.isin() handle DataFrame input? | {
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n = 5
df = DataFrame({'a': randint(3, size=n),
'b': randn(n)})
df2 = DataFrame({'a': randint(4, size=n),
'b': df.b + (rand(n) > 0.5).astype(float)})
df.isin(df2)
```
yields
<table class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>a</th>
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https://api.github.com/repos/pandas-dev/pandas/issues/7159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7159/events | https://github.com/pandas-dev/pandas/pull/7159 | 33,742,946 | MDExOlB1bGxSZXF1ZXN0MTYwMjUzNDc= | 7,159 | TST: Add layout tests for boxplot | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-05-18T00:56:33Z | 2014-07-09T08:25:02Z | 2014-06-04T15:28:58Z | MEMBER | null | Added `layout` test cases related to #7035, changing `_check_axes_shape` logic to meet with #7096.
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https://api.github.com/repos/pandas-dev/pandas/issues/7160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7160/events | https://github.com/pandas-dev/pandas/issues/7160 | 33,744,974 | MDU6SXNzdWUzMzc0NDk3NA== | 7,160 | Bug in read_csv with duplicated column names | {
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``` python
from StringIO import StringIO
import pandas as pd
# this is correct
print(pd.DataFrame([[0, 1, 2], [3, 4, 5]], columns=["a", "b", "a"]))
# and this is fine as well
# (although, changing the column names to a,b,a.1)
print(pd.read_csv(StringIO("a,b,a\n0,1,2\n3,4,5")))
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In the Ipython Notebook, the result looks like this
http://nbviewer.ipython.org/gist/bjonen/492fea9559fd73edf579
To do:
- Do we ... | {
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When attempting to calculate rolling sums for a dataframe with a DateTimeIndex in 1964, and naming the column '64' (as a string), I get a ValueError: could not broadcast input array from shape (x) into shape (x, 1). If I change one of the 64s, the error does not occu... | {
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- [ ] change ci/requirements-2.7.txt to use last version (1.8.6); will need same import fixes
When I try to use `DataFrame` `to_excel`, I was given the following error. I am... | {
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`openpyxl`, `xlsxwriter`
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interpolate works fine on most of my datasets but I've just encountered for the first time a new error when attempting to run this method.
```
IndexError: arrays used as indices must be of integer (or boolean) type
```
I'm not sure how/if its sensible to paste the dataset I used somehow on here (along with the d... | {
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notebook http://goo.gl/qLUUx8
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The follo... | {
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When I do:
`temp_df.eval('my_col < Inf')` or
`temp_df.eval('my_col < np.Inf')` or
I get `UndefinedVariableError`
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"labels_url": "htt... | 1 | 2014-05-19T20:16:26Z | 2014-05-23T16:43:09Z | 2014-05-23T16:43:09Z | NONE | null | I'm running into an issue where pandas (.13.1) reindex_like with pad will fill periods where it should not (or previously would not). Looked through the .13 change logs, didn't see anything that pointed out to this decision.
``` python
import datetime
import pandas as pd
print pd.__version__
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https://api.github.com/repos/pandas-dev/pandas/issues/7180 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7180/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7180/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7180/events | https://github.com/pandas-dev/pandas/issues/7180 | 33,835,593 | MDU6SXNzdWUzMzgzNTU5Mw== | 7,180 | max_columns == 0 incorrectly wraps around for wide dfs | {
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According to the description of `max_columns`, should switch to "smaller" (at the beginning to info, nowadays to truncate) view when set to zero instead of wrapping around.
```
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https://api.github.com/repos/pandas-dev/pandas/issues/7181 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7181/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7181/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7181/events | https://github.com/pandas-dev/pandas/pull/7181 | 33,836,895 | MDExOlB1bGxSZXF1ZXN0MTYwNzYxNzA= | 7,181 | BUG: correctly lookup global constants in query/eval | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7182 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7182/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7182/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7182/events | https://github.com/pandas-dev/pandas/pull/7182 | 33,850,544 | MDExOlB1bGxSZXF1ZXN0MTYwODQ2NTM= | 7,182 | CLN: Deprecation of assert_ | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7183 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7183/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7183/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7183/events | https://github.com/pandas-dev/pandas/issues/7183 | 33,850,881 | MDU6SXNzdWUzMzg1MDg4MQ== | 7,183 | [Import Error] with openpyxl: specifically w/ pd.to_excel() | {
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show_versions()
## INSTALLED VERSIONS
commit: None
python: 2.7.5.final.0
python-bits: 64
OS: Darwin
OS-release: 13.1.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
pandas: 0.13.1
Cython: None
numpy: 1.6.2
scipy: 0.11.0
statsmodel... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7184 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7184/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7184/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7184/events | https://github.com/pandas-dev/pandas/issues/7184 | 33,884,845 | MDU6SXNzdWUzMzg4NDg0NQ== | 7,184 | BUG: assignment with panels should have SettingWithCopy as appropriate | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2014-05-20T12:52:48Z | 2018-07-06T20:21:04Z | 2017-07-11T09:58:13Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/23756711/pandas-panel-copy-versus-view
[55] is a view, so `is_copy` should be set (and is not)
```
In [53]: p = tm.makePanel()
In [54]: df = p.iloc[0]
In [55]: df[:] = 0
In [56]: (df.values.ravel()==0).all()
Out[56]: True
In [57]: (p.iloc[0].values.ravel()==0).all()
Out[57]: Tru... | {
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```
a = rand(100)
b = np.floor(rand(100)*100)
df = pd.DataFrame({'a' : a , 'b' : b})
grp = df.groupby(df.b)
```
I have grouped the values in `a` by `b`.
Now, if I want to plot the trend over the groups with mean and std I can do
```
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2014-05-20T15:31:20Z | 2017-01-20T13:56:52Z | 2017-01-19T22:10:50Z | CONTRIBUTOR | null | ``` Python
In []: df = pd.DataFrame(index=range(10),columns=['a','b',1])
In []: df
Out[]:
a b 1
0 NaN NaN NaN
1 NaN NaN NaN
2 NaN NaN NaN
3 NaN NaN NaN
4 NaN NaN NaN
5 NaN NaN NaN
6 NaN NaN NaN
7 NaN NaN NaN
8 NaN NaN NaN
9 NaN NaN NaN
In []: df.ix[:,[0]]
Out[]:
1
0 NaN
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https://api.github.com/repos/pandas-dev/pandas/issues/7189 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7189/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7189/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7189/events | https://github.com/pandas-dev/pandas/pull/7189 | 33,939,777 | MDExOlB1bGxSZXF1ZXN0MTYxMzg2NjI= | 7,189 | BUG: bug in recognizing out-of-bounds on iloc indexers on tuple indexers (GH ) | {
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```
In [1]: p = Panel(np.random.rand(4,3,2), items=['A','B','C','D'], major_axis=['U','V','W'], minor_axis=['X','Y'])
In [2]: p
Out[2]:
<class 'pandas.core.panel.Panel'>
Dimensions: 4 (items) x 3 (major_axis) x 2 (minor_axis)
Items axis: A to... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7190 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7190/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7190/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7190/events | https://github.com/pandas-dev/pandas/issues/7190 | 33,978,167 | MDU6SXNzdWUzMzk3ODE2Nw== | 7,190 | BUG: setitem with a multi-index and integer indices | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7191 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7191/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7191/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7191/events | https://github.com/pandas-dev/pandas/pull/7191 | 33,978,355 | MDExOlB1bGxSZXF1ZXN0MTYxNjA2MjY= | 7,191 | BUG: Bug in setitem with a single item, and a multi-index and integer indices (GH7190) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7192 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7192/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7192/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7192/events | https://github.com/pandas-dev/pandas/issues/7192 | 33,991,478 | MDU6SXNzdWUzMzk5MTQ3OA== | 7,192 | BUG: numexpr / ops with boolean and conversion | {
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"labels_url": "htt... | 5 | 2014-05-21T15:08:28Z | 2014-05-21T23:26:20Z | 2014-05-21T23:26:20Z | CONTRIBUTOR | null | these cases should give the same results. Somehow the ops order is being reversed or something with numexpr.
numpy 1.8.1, numexpr 2.4, pandas 0.14rc1
Can be worked around like:
```
In [39]: df = DataFrame(dict(A=np.random.randn(25000)))
In [40]: df.iloc[0:5] = np.nan
In [41]: (1-np.isnan(df)).iloc[0:25]
Out[41]:
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7193 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7193/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7193/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7193/events | https://github.com/pandas-dev/pandas/issues/7193 | 33,992,029 | MDU6SXNzdWUzMzk5MjAyOQ== | 7,193 | bug in nan-handling in groupby | {
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1) Is it not possible to just compare NaNs in the same way as is handled elsewhere? If not, maybe it's desirable to... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7194 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7194/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7194/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7194/events | https://github.com/pandas-dev/pandas/issues/7194 | 34,005,961 | MDU6SXNzdWUzNDAwNTk2MQ== | 7,194 | DOC: df.iterrows() returns view for homogenous columns, and copy for heterogenous / perf warning | {
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```
import pandas as pd
df = pd.DataFrame({'a':range(5),'b':range(5)})
print df
for _, row in df.iterrows():
row.a += 1
print df
df['c'] = 'what'
for _, row in df.iterrows():
row.b += 1
print... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7195 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7195/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7195/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7195/events | https://github.com/pandas-dev/pandas/pull/7195 | 34,021,043 | MDExOlB1bGxSZXF1ZXN0MTYxODYxNzA= | 7,195 | BUG: Easter works incorrectly in negative offsets | {
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"description": "DateOffsets",
"id": ... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-05-21T20:29:34Z | 2017-12-19T21:17:26Z | 2014-06-03T23:42:06Z | MEMBER | null | When an offset is negative, Easter skips the date just before and returns one before.
```
(- pd.offsets.Easter()).apply(pd.Timestamp('2011-01-01 09:00:00'))
#2009-04-12 00:00:00
(- pd.offsets.Easter()).apply(pd.Timestamp('2012-01-01 09:00:00'))
# returns 2010-04-04 00:00:00
(- pd.offsets.Easter()).apply(pd.Timestamp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7196 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7196/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7196/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7196/events | https://github.com/pandas-dev/pandas/pull/7196 | 34,024,720 | MDExOlB1bGxSZXF1ZXN0MTYxODg1NDA= | 7,196 | BUG: CustomBusinessDay apply raises NameError when np.datetime64 is pass... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-05-21T21:10:50Z | 2014-06-27T07:41:02Z | 2014-06-04T00:06:46Z | MEMBER | null | `CustomBusinessDay` raises `NameError` when `np.datetime64` is passed. It works if `normalize=True` is specified.
```
d = pd.offsets.CustomBusinessDay().apply(np.datetime64('2011-01-01 09:00:00'))
# NameError: global name 'np_day_incr' is not defined
d = pd.offsets.CustomBusinessDay(normalize=True).apply(np.datetime6... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7197 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7197/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7197/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7197/events | https://github.com/pandas-dev/pandas/pull/7197 | 34,026,259 | MDExOlB1bGxSZXF1ZXN0MTYxODk1NTE= | 7,197 | CLN/DOC: add axis parameter doc for filter method | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7198 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7198/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7198/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7198/events | https://github.com/pandas-dev/pandas/issues/7198 | 34,027,774 | MDU6SXNzdWUzNDAyNzc3NA== | 7,198 | BUG: odd indexing issue w.r.t series/frame div op (may involve numexpr) | {
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works for n = 4, but not 4000
```
for n in [ 4, 4000 ]:
df = DataFrame(1,index=range(n),columns=list('abcd'))
df.iloc[0] = 2
expected = DataFrame(np.tile(df.mean().values,n).reshape(n,-1),
columns=list('abcd'))/df
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https://api.github.com/repos/pandas-dev/pandas/issues/7199 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7199/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7199/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7199/events | https://github.com/pandas-dev/pandas/issues/7199 | 34,027,908 | MDU6SXNzdWUzNDAyNzkwOA== | 7,199 | BUG: Panel.iloc[] bug with MultiIndex axis | {
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"labels_url": "htt... | 4 | 2014-05-21T21:51:43Z | 2014-05-22T04:27:46Z | 2014-05-22T00:06:23Z | CONTRIBUTOR | null | I just posted this at https://groups.google.com/forum/#!topic/pydata/wmUjOttpcpI.
All of [6], [7], [8], and [9] below should have the same dimensions, but [8] is incorrect. Similarly, [12] should work and look like [14]. The only difference between wd1 and wd2 is that the former has minor_axis=multi_index, whereas the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7200/events | https://github.com/pandas-dev/pandas/issues/7200 | 34,028,466 | MDU6SXNzdWUzNDAyODQ2Ng== | 7,200 | groupby, apply, and set may function properly together | {
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<code>
In [66]: dat = pandas.DataFrame(['a','b','c','d','e','f','g','h'],columns=['letters'])
</code>
<code>
In [67]: dat['numbers'] = pandas.Series([1,2,3,4,5,6,7,8])
</code>
<code>
In [68]: dat['names'] = pandas.Series(['jim','jan','jerry','george','mary','mary','su... | {
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