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https://api.github.com/repos/pandas-dev/pandas/issues/7001 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7001/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7001/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7001/events | https://github.com/pandas-dev/pandas/issues/7001 | 32,479,145 | MDU6SXNzdWUzMjQ3OTE0NQ== | 7,001 | Sum of grouped bool column has inconsistent type | {
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```
pd.DataFrame([True]).groupby(lambda x: 0).sum()
0
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```
In [1]: df = DataFrame({'foo1' : ['one', 'two', 'two', 'three', 'one', 'two'],
'foo2' : np.random.randn(6)})
In [2]: df
Out[2]:
foo1 foo2
0 one 1.006666
1 two 0.002063
2 two 1.507785
3 three 1.865921
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Additionally, I fixed a small pep8 issue in head()
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I am not sure how to test a mouse-over, and the original commit 922c6102eebb7347cea587fffc4795a3ca3e73b2 introducing this functionality did not have tests either, which is sadly probably how this got broken. @willfurnass do you happen to have any ideas for how to test this functionality, maybe from when yo... | {
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This PR fixes all but 8 of those that correspond to constructing frame with "exotic" time offsets (`WeekOfYear`, `LastWeekOfYear`, `FY5253` and `FY5253Quarter`) that apparently require some kwargs for construction.
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"labels_url": "htt... | 7 | 2014-04-30T16:09:42Z | 2014-05-05T08:30:11Z | 2014-05-05T08:30:11Z | CONTRIBUTOR | null | I am unable to run `read_sql` against a PostgreSQL database with the current master branch. This error only happens with master. If I switch back to pandas `0.13.1` (stable) everything works again.
For reference, I am using `psycopg2 2.5.2` from `pip install`.
Below is some example code:
``` python
# Connect to the ... | {
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"labels_url": "htt... | 3 | 2014-04-30T18:02:32Z | 2016-10-12T23:04:49Z | 2014-05-14T05:00:40Z | NONE | null | In the current master, I am no longer able to add or subtract `bool` scalars from Series. For example:
```
In [63]: (covariates.isnull().sum(axis=1).astype(bool))
Out[63]:
case_id
A0001 False
A0002 False
A0003 False
A0004 False
A0005 False
A0006 False
A0007 False
A0008 False
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"labels_url": "htt... | 1 | 2014-04-30T18:15:27Z | 2014-06-30T11:25:11Z | 2014-04-30T18:56:37Z | CONTRIBUTOR | null | I added a (for me) very helpful Q&A from Stackoverflow on groupby/minimization while retaining the original DataFrame columns. Additionally, I cleaned up some links in the same cookbok section.
(Disclaimer: this is my first pull request.)
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So also http://pandas.pydata.org/pandas-docs/dev/ does not work (as this is redirected to the former).
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... | 6 | 2014-04-30T19:28:11Z | 2017-04-14T15:37:04Z | 2017-04-14T15:37:04Z | NONE | null | Would come in handy for a number of a different applications from basic statistics, to understanding one's data, to estimating machine learning algorithmic load.
dupe of #2749
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- [x] vbench
- ~~axis parameter~~ (this only works in non-cython land)
- [x] tests for `object` dtype if there are none
- [x] datetime64/timedelta64 count
vbench results:
```
-------------------------------------------------------------------------------
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pd.DataFrame([[1,"abc", 1]], columns=["a", "b", "a"]).describe()
File "C:\Program Files\Python 3.3.3\lib\site-packages\pandas\core\frame.py", line 3790, in describe
numdata = self._get_numeric_data()
File "C:\Program Files\Python 3.3.3\lib\site-pack... | {
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"f... | 1 | 2014-05-01T14:03:25Z | 2021-04-11T04:32:05Z | null | CONTRIBUTOR | null | When lifting limits on display options, for some of them one can use `None`:
```
display.max_columns = None
display.display.max_rows = None
display.width = None
```
but for other options, Pandas complains if you use `None` returning `ValueError: Value must have type '<type 'int'>'`, so you have to use 0
```
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https://api.github.com/repos/pandas-dev/pandas/issues/7023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7023/events | https://github.com/pandas-dev/pandas/issues/7023 | 32,646,424 | MDU6SXNzdWUzMjY0NjQyNA== | 7,023 | DF Plots: Error bars don't allow to set styles | {
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... | 6 | 2014-05-01T20:48:31Z | 2017-12-07T11:44:00Z | null | NONE | null | With this code the style spec `'o'` is ignored when plotting error bars (#5638):
``` python
In [25]: from numpy.random import randn
In [26]: import pandas as pd
In [27]: df = pd.DataFrame(randn(8,3), columns = "A B yerr".split())
In [28]: df.plot(x='A', y='B',style='o' ,yerr='yerr')
Out[28]: <matplotlib.axes.AxesSu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7024/events | https://github.com/pandas-dev/pandas/issues/7024 | 32,651,166 | MDU6SXNzdWUzMjY1MTE2Ng== | 7,024 | pd.concat(objs) drops type of the inputs if all inputs are empty | {
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```
In [0]: x = pd.Series([], dtype=int)
In [1]: pd.concat([x, x])
Series([], dtype: object)
```
How I would expect it to work:
_pd.concat([x, x]) s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7025/events | https://github.com/pandas-dev/pandas/issues/7025 | 32,688,171 | MDU6SXNzdWUzMjY4ODE3MQ== | 7,025 | GroupBy with Float Index not Plotting | {
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"labels_url": "htt... | 3 | 2014-05-02T12:31:04Z | 2014-05-02T21:37:21Z | 2014-05-02T21:37:21Z | NONE | null | I have the following problem: I have a dataset with a float index that I want to group and plot. If I'm using integer indices it works, with floats it doesn't. Here is the minimal example that once works and once not. I'm testing with the current master. Am I doing something wrong?
This code snippet fails:
```
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https://api.github.com/repos/pandas-dev/pandas/issues/7027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7027/events | https://github.com/pandas-dev/pandas/pull/7027 | 32,712,682 | MDExOlB1bGxSZXF1ZXN0MTU0NDMxNjg= | 7,027 | DOC: Visualization reorganization | {
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I still need to do one more read through. Happy to hear additional suggestions.
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https://api.github.com/repos/pandas-dev/pandas/issues/7028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7028/events | https://github.com/pandas-dev/pandas/pull/7028 | 32,736,375 | MDExOlB1bGxSZXF1ZXN0MTU0NTc3NDc= | 7,028 | API: adds weekday_common accessors (GH6936) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7029/events | https://github.com/pandas-dev/pandas/pull/7029 | 32,753,996 | MDExOlB1bGxSZXF1ZXN0MTU0NjU2ODE= | 7,029 | BUG: fix reading multi-index data in python parser | {
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The python parser has a problem reading data with a multi-index specified in the row following the header, for example
``` python
In [3]: text = """ A B C D E
one two three four
a b 10.0032 5 -0.5109 -2.3358 -0.4645 0.05076 0.3640
a q ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7030/events | https://github.com/pandas-dev/pandas/issues/7030 | 32,754,375 | MDU6SXNzdWUzMjc1NDM3NQ== | 7,030 | ENH: Add a Parser to read fixed-width ASCII data using a data description file or dictionary file | {
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"f... | 5 | 2014-05-03T20:28:08Z | 2019-12-22T16:55:36Z | 2019-12-22T16:55:35Z | CONTRIBUTOR | null | As an example, I would like to be able to read a dataset like this one:
http://www.cdc.gov/nchs/nsfg/nsfg_cycle6.htm
The data files themselves are ASCII with fixed-width fields. The variables names, types, and indices are in a separate data description file, available for SAS, SPSS and STATA. I would like to add a ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7031/events | https://github.com/pandas-dev/pandas/issues/7031 | 32,763,531 | MDU6SXNzdWUzMjc2MzUzMQ== | 7,031 | `Nan` in the multi index get cast into string after a subtraction | {
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Hi,
I've found this accidentally that after the subtraction between `df1` and `df2`, the `nan` in the multi index has turned to a `string` rather than the original `float` type. And it's also weird that this issue only happens with the `parse_dates` set to `False`.
The following is the code to reproduc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7032/events | https://github.com/pandas-dev/pandas/issues/7032 | 32,776,276 | MDU6SXNzdWUzMjc3NjI3Ng== | 7,032 | read_html infers wrong datatype | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7033/events | https://github.com/pandas-dev/pandas/pull/7033 | 32,777,682 | MDExOlB1bGxSZXF1ZXN0MTU0NzU4MjE= | 7,033 | API: Allow groupby's by to take column and index names [WIP] | {
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... | 13 | 2014-05-04T21:46:30Z | 2017-04-05T02:08:43Z | 2015-05-09T16:08:38Z | CONTRIBUTOR | null | closes https://github.com/pydata/pandas/issues/5677
As a reminder, with a data frame like:
``` python
from itertools import cycle, islice
np.random.seed(0)
df = pd.DataFrame(np.random.randn(20, 2))
df.columns = ["foo","bar"]
df['g0'] = list(islice(cycle('ab'), 20))
df['g1'] = ['a'] * 10 + ['b'] * 10
df['g2'] = ['c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7034/events | https://github.com/pandas-dev/pandas/pull/7034 | 32,779,900 | MDExOlB1bGxSZXF1ZXN0MTU0NzY1NDA= | 7,034 | TST: nose.SkipTest on RemoteDataErrors in tests for io.data.Options | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7035/events | https://github.com/pandas-dev/pandas/pull/7035 | 32,780,042 | MDExOlB1bGxSZXF1ZXN0MTU0NzY2MDI= | 7,035 | ENH/BUG: boxplot now supports layout | {
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## Bug fix
It includes the fix to hide unnecessary axes than required in boxplot and hist. For example, `layout=(2, 2)` is specified f... | {
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really just remove the parameter's effect (no signature change) ... but give a _full_ removal warning for 0.15
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should have closed all the io/data get options data failures..
if you see other ones pls report here!
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The downside of this patch is that we'll lose type inference that might change index type in rare occasions when index items have different dtypes. This is the same issue that occurred in #6440, and it was ruled out as infrequent and worth dropping for extra performance.
Note though, that the... | {
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Also changed `Categorical` and `PeriodIndex.factorize` to make index sorted like other indexes do.
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https://api.github.com/repos/pandas-dev/pandas/issues/7044 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7044/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7044/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7044/events | https://github.com/pandas-dev/pandas/pull/7044 | 32,805,988 | MDExOlB1bGxSZXF1ZXN0MTU0OTAzNjg= | 7,044 | API: update nth to use the _set_selection_from_grouper makes first==nth(0) and last==nth(-1) | {
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`nth` sets the index appropriately and the same as first/last.
this becomes less like head/tail in that `as_index` determines when you have an index
here's the revised behavior:
```
In [1]: df = DataFrame([[1, np.nan], [1, 4], [5, 6]], columns=['A', 'B'])
In [3]: df
Out[3]:
A B
0 1 NaN
1 1 ... | {
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"f... | 2 | 2014-05-05T16:20:06Z | 2021-04-11T04:32:37Z | null | CONTRIBUTOR | null | So the plot method is quite... flexible (bloated). This does give great flexibility for quickly plotting stuff, but not all args make sense for every kind of plot. Some plots (for example PiePlot) will ignore arguments like `logx` since it doesn't make any sense. This case is obviously nonsense, so it probably won't ha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7046 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7046/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7046/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7046/events | https://github.com/pandas-dev/pandas/pull/7046 | 32,839,444 | MDExOlB1bGxSZXF1ZXN0MTU1MTAwOTY= | 7,046 | DOC: Add parameter to docstring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7048/events | https://github.com/pandas-dev/pandas/issues/7048 | 32,846,119 | MDU6SXNzdWUzMjg0NjExOQ== | 7,048 | read_csv is inefficient for wide tables | {
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"f... | 3 | 2014-05-05T21:13:02Z | 2016-01-07T19:56:31Z | 2016-01-07T19:56:31Z | NONE | null | I was loading some relatively large CSV files (roughly three hundred by one million), and noticed that the layout of those CSVs is actually critical to Pandas' ability to read them to memory. A "wide" format uses large amounts of memory and takes an extremely long time to run (killed the process after a half hour). T... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7049/events | https://github.com/pandas-dev/pandas/issues/7049 | 32,853,360 | MDU6SXNzdWUzMjg1MzM2MA== | 7,049 | Week Start/End Resamping: WS/WE frequencies | {
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... | 20 | 2014-05-05T22:54:07Z | 2021-04-11T04:33:43Z | null | NONE | null | There are a number of offset aliases listed here:
http://pandas.pydata.org/pandas-docs/dev/timeseries.html#offset-aliases
I'm currently trying to resample a timeseries where the buckets are return with the beginning and/or end of the week. There are a number of Start Month/End Month frequency aliases. Am I missing s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7050/events | https://github.com/pandas-dev/pandas/issues/7050 | 32,854,617 | MDU6SXNzdWUzMjg1NDYxNw== | 7,050 | Subtract Timestamp from DatetimeIndex | {
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```
dr = pd.date_range('20140101', freq='S', periods=11)
zero = dr[5]
diff = dr - zero
```
raises a TypeError, however,
```
diff = [i - zero for i in dr]
```
produces the desired list of ti... | {
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"default"... | closed | false | null | [] | null | 11 | 2014-05-06T04:27:42Z | 2014-05-10T00:27:22Z | 2014-05-06T12:02:24Z | CONTRIBUTOR | null | I have a performance issue that I discovered by noticing that 173 MB sized CSV files take quite a while to write out (I have to write many of them). The io profiler I use is `iotop` that indicated that my write rate was a meager 9 MB/s while the raid I am writing to supports up to 20 times that, as I have confirmed wit... | {
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dupe of #7031
I'm on 0.13.1, don't know if this is already fixed on master, but haven't found any issues about this. If I you have `NaN` value in MultiIndex, reindexing will fill the first value from reindexed series to all `NaN` indices. Perhaps an example will clarify it
Code:
``` python
import pand... | {
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DOC: remove extra slice in hexbin example
DOC: move notes to look nicer
A few changes that came up in https://github.com/pydata/pandas/pull/7027
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`nan` in that case
- not faster perf wise
- compilation time is shorter because count has no int templates except for
dates and times
- any precision issues (don't think there were any) with other integer types are gone, since only `int64`... | {
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... | 17 | 2014-05-06T14:03:16Z | 2019-06-29T20:54:28Z | 2019-06-29T20:54:28Z | NONE | null | Hi
Something is wrong when trying to save a dataframe with tz-aware timestamps to xlsx, using pd.Dataframe.to_excel:
``` Python
df = pd.DataFrame([1], index=[pd.Timestamp('2014-05-02', tz='CET')])
df.to_excel('test.xlsx')
```
yields an exception on my system:
```
----------------------------------------------------... | {
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The code is a complicated case of the following, where column are labelled by instances of a Python class:
```
# group by a value in the column instance
per_column = results.groupby(lambda x : x.value, 1)
for k, ... | {
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The following seems to replicate the issue I have with my data:
``` python
import pandas as pd
import numpy as np
pdf = pd.DataFrame(np.random.rand(600000,25), columns = list('abcdefghijklmnopqrstuvwxy'))
sample=np.random.rand(900)
for i in range(100... | {
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... | 3 | 2014-05-06T18:16:36Z | 2015-03-06T00:42:13Z | null | CONTRIBUTOR | null | https://github.com/statsmodels/statsmodels/issues/1584
So should do _something_ with the headers (maybe do a '....')
```
In [2]: df = DataFrame(1,index=range(2),columns=['short','really long'])
In [3]: df
Out[3]:
short really long
0 1 1
1 1 1
[2 rows x 2 columns]
In [6]: with p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7060/events | https://github.com/pandas-dev/pandas/pull/7060 | 32,935,447 | MDExOlB1bGxSZXF1ZXN0MTU1NjY3MjQ= | 7,060 | Remove tzinfo from datetime before writing cell with xlsxwriter | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7061/events | https://github.com/pandas-dev/pandas/issues/7061 | 32,941,334 | MDU6SXNzdWUzMjk0MTMzNA== | 7,061 | Unicode handling in `to_latex`. Needs encoding? | {
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I have it in unicode, so try that way.
```
pd.DataFrame([[u'au\xdfgangen']]).to_latex('test.tex')
```
Nope. Ok, so let's encode it as a utf-8 string
```
pd.DataFrame([[u'au\xdfgangen']]).appl... | {
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DOC: fix formatting on plot formattting
DOC: add KDE to other plots
more bits of formatting
Thanks for catching these
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directly to the internal _write_to_group() method, but it was not
explicitly documented (as it is for append).
Just added 2 lines to the put() method docstring to mention it explicitly.
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directly to the internal _write_to_group() method, but it was not
explicitly documented (as it is for append). Also settable via option.
Just added 2 lines to the put() method docstring to mention it explicitly - copied from append()
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#8509
https://github.com/pydata/pandas/pull/5283
https://github.com/numpy/numpy/issues/4685
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```
import numpy as np
import pandas as pd
i = pd.Index([np.nan])
print i.isin({0}) # prints [ True], should be [False]
```
I do n... | {
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Out[40]: Timestamp('2000-02-17 00:00:00', tz=None)
In [41]: tmp = bnds.date.values[1]
In [42]: tmp
Out[42]: numpy.datetime64('2000-02-16T19:00:00.000000000-0500')
In [43]: tmp.astype('datetime64[D]')
Out[43]: numpy.datetime64('2000-02-17')
Anyone know why Out[42] is February 16? I'm quite conf... | {
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- Checking that the number of axes passed is equal to the number of axes the boxplot
wants to produce.
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See: http://www.nyx.com/holidays-and-hours/nyse
and with some guidlines: http://www.investmentcontrarians.com/nyse-2013-stock-market-holidays/
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Lets say I am inputting the way snakes attack in a dataframe df I would tagging a column `df['Attack method']` using a list `poison` and a list `squeeze` to check if there are matches in `df[Genus]`
```
df['Attack method'] = (df.Genus.is... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7072/events | https://github.com/pandas-dev/pandas/issues/7072 | 33,058,118 | MDU6SXNzdWUzMzA1ODExOA== | 7,072 | truncation issue with pd.read_csv | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2014-05-08T06:37:07Z | 2019-12-31T15:04:45Z | 2019-12-31T15:04:45Z | NONE | null | hi, thank you very much for the awesome pandas tool. I would like to report an issue i noticed and seek guidance on remedial steps. When i store a long integer into a file using pd.to_csv, it stores the data fine - but when i read it back using pd.read_csv, it messes with the last 3 digits. When i try to save it bac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7073/events | https://github.com/pandas-dev/pandas/issues/7073 | 33,058,921 | MDU6SXNzdWUzMzA1ODkyMQ== | 7,073 | Duplicate entry on Multiindex .loc set | {
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data = data.sortlevel()
print(data.loc[("STW AU Equity", "2014-04-29"), "split"])
data.loc[("STW AU Equity", "2014-04-29"), "split"] = 1
print(data.loc[("STW AU Equity", "2014-04-29"), "split"])
# result
1.0
symbol date
STW AU Equity 2014-04-29 1
2014-04-29 1
```
Is ther... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7074/events | https://github.com/pandas-dev/pandas/issues/7074 | 33,061,274 | MDU6SXNzdWUzMzA2MTI3NA== | 7,074 | ExcelWriter does not support BytesIO input | {
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Currently you can hack that into pandas using
```
b = BytesIO()
w = ExcelWriter("data.xlsx", engine="xlsxw... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7075 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7075/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7075/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7075/events | https://github.com/pandas-dev/pandas/pull/7075 | 33,065,144 | MDExOlB1bGxSZXF1ZXN0MTU2MzkxODE= | 7,075 | Fix Xl(sx|wt)Writer always using date_format even if a datetime is supplied. | {
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```
if isinstance(cell.val, datetime.datetime):
num_format_str = self.datetime_format
if isinstance(cell.val, dat... | {
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Converting to an int was actually also how it was now with sqlite DBAPI fallback (as timedelta64 is subclass of integer), so this solution is also backwards compatible and consistent between sqlalchemy and fallback mode.
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https://api.github.com/repos/pandas-dev/pandas/issues/7077 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7077/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7077/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7077/events | https://github.com/pandas-dev/pandas/pull/7077 | 33,089,796 | MDExOlB1bGxSZXF1ZXN0MTU2NTM0ODI= | 7,077 | SQL: resolve legacy mode + deprecate mysql flavor (GH6900) | {
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- added deprecation warning for 'mysql' flavor
- removed necessity of providing flavor kwarg (no warning if not provided, assumed to be sqlite3)
- removed `flavor` kwarg from execute and read_sql_query (because... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7078/events | https://github.com/pandas-dev/pandas/pull/7078 | 33,112,405 | MDExOlB1bGxSZXF1ZXN0MTU2NjY5MTk= | 7,078 | DOC: Remove newline in @verbatim code-block. | {
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] | closed | false | null | [] | null | 2 | 2014-05-08T18:55:44Z | 2014-07-16T09:05:01Z | 2014-05-08T19:42:27Z | CONTRIBUTOR | null | This makes the tab-completed code show up in the rendered documentation.
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https://api.github.com/repos/pandas-dev/pandas/issues/7079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7079/events | https://github.com/pandas-dev/pandas/issues/7079 | 33,113,636 | MDU6SXNzdWUzMzExMzYzNg== | 7,079 | BUG: None should be a valid colspec? | {
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This would help me because I don't know the width of the last column until I start reading the fi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7080/events | https://github.com/pandas-dev/pandas/issues/7080 | 33,122,207 | MDU6SXNzdWUzMzEyMjIwNw== | 7,080 | comment on numpy/pandas interaction when calling amin() on a pandas DataFrame | {
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This is occurring with pandas 0.12.0 but given the nature of the issue is probably present in more recent versions.
If a user... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7082/events | https://github.com/pandas-dev/pandas/pull/7082 | 33,126,553 | MDExOlB1bGxSZXF1ZXN0MTU2NzU2MDU= | 7,082 | SQL: datetime writing: add tests + issue with pymysql | {
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"labels_url": "htt... | 4 | 2014-05-08T21:40:56Z | 2014-06-17T10:50:08Z | 2014-05-11T10:52:47Z | MEMBER | null | There were apparantly not yet tests for writing datetime data. So added a test case for both query/table.
For MySQL using the pymysql driver, writing a datetime column is not working ... It gives following error:
```
In [65]: import pymysql
In [66]: engine_mysql = sqlalchemy.create_engine('mysql+pymysql://root@localh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7083 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7083/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7083/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7083/events | https://github.com/pandas-dev/pandas/issues/7083 | 33,131,288 | MDU6SXNzdWUzMzEzMTI4OA== | 7,083 | how to make parallel_coordinates scale each y axis separately and add y-ticks? | {
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"f... | 8 | 2014-05-08T22:52:22Z | 2021-04-11T04:34:51Z | null | NONE | null | Here is the code:
```
import pandas
import matplotlib.pyplot as plt
from pandas.tools.plotting import parallel_coordinates
import numpy as np
from pandas import DataFrame
mypos = np.random.randint(10, size=(100, 2))
mydata = DataFrame(mypos, columns=['x', 'y'])
myres = np.random.rand(100, 1)
myclass = np.random.randin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7084/events | https://github.com/pandas-dev/pandas/issues/7084 | 33,137,805 | MDU6SXNzdWUzMzEzNzgwNQ== | 7,084 | Updating a DataFrame by iteratively indexing into a columns | {
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"labels_url": "htt... | 7 | 2014-05-09T00:50:09Z | 2014-05-09T18:21:49Z | 2014-05-09T18:21:49Z | NONE | null | I am initializing a DataFrame with 0 and then update it by iteratively indexing into indvidual columns. The behavior of my code has changed with pandas 0.13.0 such that resulting DataFrame out[['A']] remains 0 but series out['A'] has the correct values:
```
>>> print out[['A']]
A
2014-05-07 0
2014-05-08 ... | {
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Fixes #6774
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Dataframes are now truncated centrally (similar to pd.Series).
Before:
After:
![trunc_after](https://cloud.githubusercontent.com/assets/832380/3000645/649bf09e-dd26-11e3-889e-33a... | {
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This is for frames. I'm going to refactor this into generic since to cover series / frames.
A couple questions:
- API wise, I added a new kwarg `percentiles`. For backwards compat, we keep the `percentile_width` kwarg. I changed the default `percentile_width` from 5... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7089/events | https://github.com/pandas-dev/pandas/pull/7089 | 33,199,719 | MDExOlB1bGxSZXF1ZXN0MTU3MTY5MzM= | 7,089 | BUG: use size attribute (not method call) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7090/events | https://github.com/pandas-dev/pandas/pull/7090 | 33,231,411 | MDExOlB1bGxSZXF1ZXN0MTU3MzEzNTk= | 7,090 | ENH/CLN: Add factorize to IndexOpsMixin | {
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"labels_url": "htt... | 4 | 2014-05-10T07:10:27Z | 2014-06-17T15:25:56Z | 2014-05-10T14:12:03Z | MEMBER | null | As pointed in #7041, I prepared a PR to add `factorize` to `IndexOpsMixin`.
As a side benefit, `Multiindex.from_arrays` can preserve original `DatetimeIndex.freq` and `tz`. (Related to #3950 and #6606. These issues are not solved yet because these use different methods to create `MultiIndex`).
I would like to confi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7091/events | https://github.com/pandas-dev/pandas/issues/7091 | 33,238,814 | MDU6SXNzdWUzMzIzODgxNA== | 7,091 | CI: create/drop pandas_nosetest db on class instatiation | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2014-05-10T14:26:09Z | 2018-07-06T21:58:15Z | 2018-07-06T21:57:39Z | CONTRIBUTOR | null | So I think that the SQL test classes should inherit from:
https://github.com/pydata/pandas/blob/master/pandas/util/testing.py#L65
then you can add
```
class BaseSQLTestCase(tm.TestCase):
@classmethod
def setUpClass(cls):
super(BaseSQLTestCase, cls).setUpClass()
# create the ``pandas_nosetes... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7092/events | https://github.com/pandas-dev/pandas/pull/7092 | 33,240,271 | MDExOlB1bGxSZXF1ZXN0MTU3MzQzNDQ= | 7,092 | BUG: tz info lost by set_index and reindex | {
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"labels_url": "htt... | 2 | 2014-05-10T15:28:00Z | 2014-06-13T19:01:07Z | 2014-05-12T13:34:58Z | MEMBER | null | Closes #6631. Closes #5878. Regarding #3950, original problem can be fixed by this, but `groupby` problem isn't.
Also, this includes the fix for `MultiIndex.get_level_values` doesn't retain `tz` and `freq`, as the method is used in `set_index`.
```
# current master
>>> import pandas as pd
>>> didx = pd.DatetimeIndex(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7093/events | https://github.com/pandas-dev/pandas/pull/7093 | 33,243,147 | MDExOlB1bGxSZXF1ZXN0MTU3MzUzMzI= | 7,093 | BUG: Let DataFrame.quantile() handle datetime | {
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"labels_url": "htt... | 4 | 2014-05-10T17:20:15Z | 2014-07-16T09:05:32Z | 2014-05-10T21:51:19Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas/issues/6965
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https://api.github.com/repos/pandas-dev/pandas/issues/7094 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7094/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7094/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7094/events | https://github.com/pandas-dev/pandas/pull/7094 | 33,246,610 | MDExOlB1bGxSZXF1ZXN0MTU3MzYzODU= | 7,094 | REGR: Regression in groupby.nth() for out-of-bounds indexers (GH6621) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7095/events | https://github.com/pandas-dev/pandas/issues/7095 | 33,249,430 | MDU6SXNzdWUzMzI0OTQzMA== | 7,095 | BUG: fillna with invalid value for a block type | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-05-10T21:28:22Z | 2015-09-20T18:52:13Z | 2015-09-20T18:52:13Z | CONTRIBUTOR | null | from SO: https://groups.google.com/forum/#!topic/pydata/C8VoV4do7io
need to catch errors on the putmask and skip that block (returning it unchanged)
```
In [9]: df = DataFrame(dict(A = np.random.randn(3),B=date_range('20130101',periods=3),C=['foo','bar','bah'],D=['foo2','bar2','bah2']),index=date_range('20130110',per... | {
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"labels_url": "htt... | 42 | 2014-05-10T23:44:48Z | 2015-08-23T13:18:51Z | 2014-06-05T01:13:23Z | CONTRIBUTOR | null | Closes: https://github.com/pydata/pandas/issues/4264
Will go in place of https://github.com/pydata/pandas/pull/4472
In https://github.com/pydata/pandas/issues/985 we intentionally decided to have boxplot return a dict with the Lines of the boxplot.
I've added a kwarg `return_dict`. By default, `return_dict` is False.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7097/events | https://github.com/pandas-dev/pandas/issues/7097 | 33,251,852 | MDU6SXNzdWUzMzI1MTg1Mg== | 7,097 | df.to_stata doesn't handle boolean columns | {
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```
DataFrame([True, False]).to_stata('test.dta')
```
But it generates the following error:
sbox/lib/python2.7/site-packages/pandas/io/stata.pyc in _dtype_to_stata_type(dtype)
884 else: # pragma : no cover
885 raise ValueError... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7098/events | https://github.com/pandas-dev/pandas/pull/7098 | 33,262,350 | MDExOlB1bGxSZXF1ZXN0MTU3NDI5OTQ= | 7,098 | BUG: DatetimeIndex with freq raises ValueError when passed value is short | {
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"labels_url": "htt... | 2 | 2014-05-11T14:01:33Z | 2014-06-20T17:01:29Z | 2014-05-14T13:08:10Z | MEMBER | null | When `DatetimeIndex` is created by passing `freq` and `check_integrity=True`, passed `freq` and `inferred_freq` must be identical. But this comparison can fail if length of passed data doesn't have enough length to infer freq.
Added additional logic to determine whether passed values are on the passed `freq`.
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https://api.github.com/repos/pandas-dev/pandas/issues/7099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7099/events | https://github.com/pandas-dev/pandas/pull/7099 | 33,263,436 | MDExOlB1bGxSZXF1ZXN0MTU3NDM0Mjc= | 7,099 | BUG: GroupBy doesn't preserve timezone | {
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"labels_url": "htt... | 2 | 2014-05-11T15:03:14Z | 2014-06-13T19:00:49Z | 2014-05-13T12:13:26Z | MEMBER | null | Closes #3950. This is a fix for `groupby` issue.
(#7092 is for original report)
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https://api.github.com/repos/pandas-dev/pandas/issues/7100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7100/events | https://github.com/pandas-dev/pandas/pull/7100 | 33,265,727 | MDExOlB1bGxSZXF1ZXN0MTU3NDQzMTI= | 7,100 | TST: sql add more tests (NaN handling, ..) | {
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"labels_url": "htt... | 8 | 2014-05-11T17:03:28Z | 2014-07-08T03:52:05Z | 2014-05-13T10:29:47Z | MEMBER | null | This PR just adds some tests, not fixes to get them all running.
Summary:
- NaN writing not working for MySQL (or pymysql), but does work for sqlite and postgresql
- NaN reading does work for float columns. But not for string columns (converted to None or u'NaN') or for sqlite full float columns
- NaT in datetime colu... | {
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