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https://api.github.com/repos/pandas-dev/pandas/issues/3701 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3701/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3701/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3701/events | https://github.com/pandas-dev/pandas/pull/3701 | 14,820,628 | MDExOlB1bGxSZXF1ZXN0NTk1NTA4Nw== | 3,701 | BUG: DataFrame.to_csv fails silently if nanRep not None | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3702 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3702/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3702/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3702/events | https://github.com/pandas-dev/pandas/pull/3702 | 14,851,407 | MDExOlB1bGxSZXF1ZXN0NTk2OTUwNA== | 3,702 | ENH: allow to_html and to_latex to take a path for their first argument | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3703 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3703/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3703/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3703/events | https://github.com/pandas-dev/pandas/issues/3703 | 14,852,427 | MDU6SXNzdWUxNDg1MjQyNw== | 3,703 | BUG: broadcasting subtraction | {
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---
EDIT: Replaced a larger and more complicated example with a minimal example.
```
In [84]: df = pd.DataFrame({'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3704 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3704/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3704/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3704/events | https://github.com/pandas-dev/pandas/pull/3704 | 14,863,723 | MDExOlB1bGxSZXF1ZXN0NTk3NjMyMA== | 3,704 | DOC: document read_html and to_html | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3705 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3705/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3705/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3705/events | https://github.com/pandas-dev/pandas/issues/3705 | 14,864,961 | MDU6SXNzdWUxNDg2NDk2MQ== | 3,705 | DOC: provide links to API documentation where possible | {
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"followers_url": "https://api.github.com/users/jorisva... | 6 | 2013-05-28T22:30:28Z | 2017-03-05T15:14:17Z | 2016-09-29T22:39:31Z | MEMBER | null | Probably good as a first PR. I'm _not_ saying we need links to `DataFrame` every time it's mentioned, but the io docs could use some TLC in this direction.
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https://api.github.com/repos/pandas-dev/pandas/issues/3706 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3706/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3706/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3706/events | https://github.com/pandas-dev/pandas/issues/3706 | 14,887,120 | MDU6SXNzdWUxNDg4NzEyMA== | 3,706 | PERF: frame_repr_wide benchmark | {
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"i... | 4 | 2013-05-29T12:26:28Z | 2013-05-30T05:13:37Z | 2013-05-30T05:11:10Z | CONTRIBUTOR | null | Is this correct? (on current master)
```
In [1]: df = pandas.DataFrame(np.random.randn(10,10000))
In [2]: %timeit repr(df)
1 loops, best of 3: 9.85 s per loop
n [4]: pandas.__version__
Out[4]: '0.12.0.dev-a62ea81'
```
```
%prun repr(df)
ncalls tottime percall cumtime percall filename:lineno(function)
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https://api.github.com/repos/pandas-dev/pandas/issues/3707 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3707/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3707/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3707/events | https://github.com/pandas-dev/pandas/issues/3707 | 14,889,999 | MDU6SXNzdWUxNDg4OTk5OQ== | 3,707 | Incorrect result when resampling DatetimeIndex due to hidden cast of ints to floats | {
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... | 20 | 2013-05-29T13:37:42Z | 2017-06-12T01:16:23Z | 2017-01-09T20:10:40Z | NONE | null | To summarize: should raise when loss of precision when casting from ints to floats for computations (everywhere!)
The wrong result is returned in the following case because of unnecessary casting of ints to floats.
```
max_int = np.iinfo(np.int64).max
min_int = np.iinfo(np.int64).min
assert max_int + min_int == -1
as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3708 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3708/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3708/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3708/events | https://github.com/pandas-dev/pandas/pull/3708 | 14,892,292 | MDExOlB1bGxSZXF1ZXN0NTk5MTg2Nw== | 3,708 | BUG: allow DataFrame.from_records to accept empty recarrays | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3709 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3709/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3709/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3709/events | https://github.com/pandas-dev/pandas/pull/3709 | 14,917,288 | MDExOlB1bGxSZXF1ZXN0NjAwNTczMA== | 3,709 | improve error message when xlrd import fails | {
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My patch is about the possibility of specify the workbook encoding when making output to excel xls files. By default, pandas hasn't it, so say-so non ascii language speakers weren't able to save files with _special_ characters, receiving an error lik... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3711 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3711/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3711/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3711/events | https://github.com/pandas-dev/pandas/issues/3711 | 14,919,268 | MDU6SXNzdWUxNDkxOTI2OA== | 3,711 | Can't run nosetest | {
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#
## ERROR: Failure: ImportError (No module named dateutil.parser)
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/loader.py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3712 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3712/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3712/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3712/events | https://github.com/pandas-dev/pandas/pull/3712 | 14,919,316 | MDExOlB1bGxSZXF1ZXN0NjAwNjg3Nw== | 3,712 | API: deprecate unused DataFrame.replace arguments | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3713/events | https://github.com/pandas-dev/pandas/pull/3713 | 14,925,399 | MDExOlB1bGxSZXF1ZXN0NjAwOTk2MQ== | 3,713 | BUG: restore 10.1 expand_repr behaviour, only for < max_cols, if wider then term GH3706 | {
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"i... | 2 | 2013-05-30T05:09:21Z | 2014-07-16T08:10:45Z | 2013-05-30T05:10:56Z | NONE | null | #3706
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https://api.github.com/repos/pandas-dev/pandas/issues/3714 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3714/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3714/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3714/events | https://github.com/pandas-dev/pandas/issues/3714 | 14,937,652 | MDU6SXNzdWUxNDkzNzY1Mg== | 3,714 | Weird MultiIndex bug | {
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This is (for me) one of the weirdest things I have found so far (0.10.1 still)
tl;dr
it seems like df.copy() creates a shallow copy of the MultiIndex w.r.t levels
Also, the setting of the index.levels does no... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3715 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3715/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3715/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3715/events | https://github.com/pandas-dev/pandas/issues/3715 | 14,938,736 | MDU6SXNzdWUxNDkzODczNg== | 3,715 | ENH: Add fill_value option to resample() | {
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"closed_at": "2017-05-06T10:20:19Z",
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Add a `fill_value` option to `resample()` so that it is possible to resample a `TimeSeries` without creating `NaN` values. If the series is an int dtype and an int is passed to `fill_value`, it should be possible to resample the series without casting the values to floats.
```
>>> dates = (datetime(201... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3716 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3716/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3716/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3716/events | https://github.com/pandas-dev/pandas/pull/3716 | 14,944,004 | MDExOlB1bGxSZXF1ZXN0NjAxOTc5Nw== | 3,716 | BLD: switch MAJOR and MICRO | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3717 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3717/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3717/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3717/events | https://github.com/pandas-dev/pandas/issues/3717 | 14,944,460 | MDU6SXNzdWUxNDk0NDQ2MA== | 3,717 | API: remove ExcelFile/ExcelObject, clipboard from parses.io.parsers | {
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"followers_url": "https://api.github.com/users/wesm... | 0 | 2013-05-30T14:54:58Z | 2013-09-27T19:55:18Z | 2013-09-27T19:55:18Z | CONTRIBUTOR | null | fair warning in 0.11.1 that in 0.12 this is going to change
top-level imports of `ExcelFile/ExcelObject` are unchanged
this only affects directly importing from the parsers module
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https://api.github.com/repos/pandas-dev/pandas/issues/3718 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3718/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3718/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3718/events | https://github.com/pandas-dev/pandas/issues/3718 | 14,944,935 | MDU6SXNzdWUxNDk0NDkzNQ== | 3,718 | DOC: make links actually link to API docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3719 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3719/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3719/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3719/events | https://github.com/pandas-dev/pandas/issues/3719 | 14,948,319 | MDU6SXNzdWUxNDk0ODMxOQ== | 3,719 | API: deprecate DataFrame.from_csv -> pd.read_csv | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3720 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3720/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3720/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3720/events | https://github.com/pandas-dev/pandas/pull/3720 | 14,948,619 | MDExOlB1bGxSZXF1ZXN0NjAyMjMwNQ== | 3,720 | DOC: clean up io docs and fix up links | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3721 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3721/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3721/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3721/events | https://github.com/pandas-dev/pandas/issues/3721 | 14,965,695 | MDU6SXNzdWUxNDk2NTY5NQ== | 3,721 | DOC/BLD: squash annoying sphinx bugs | {
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these sphinx bugs **WILL** be squashed!!
- [x] `lookup`
- [x] `to_csv` (there's a newline character here that's causing the issue. that i'm trying to figure out how to escape it in sphinx) duh use raw strings
- [x] `ExcelFile.parse`
- [x] `read_excel`
- [x] `docscrape.py: Unknown Section Examp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3722/events | https://github.com/pandas-dev/pandas/pull/3722 | 14,966,893 | MDExOlB1bGxSZXF1ZXN0NjAzMjQ1MQ== | 3,722 | DOC/BLD: fix annoying sphinx bugs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3723/events | https://github.com/pandas-dev/pandas/issues/3723 | 14,967,944 | MDU6SXNzdWUxNDk2Nzk0NA== | 3,723 | need older beautifulsoup4 on 64-bit as well | {
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] | closed | false | null | [] | null | 22 | 2013-05-30T23:51:05Z | 2013-06-02T01:29:55Z | 2013-05-31T00:27:51Z | CONTRIBUTOR | null | docs say 4.0.2 on 32-bit. i tried building on 64-bit and it did not work with 4.2.0 but worked with 4.0.2.
I'm updating the docs now.
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https://api.github.com/repos/pandas-dev/pandas/issues/3724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3724/events | https://github.com/pandas-dev/pandas/pull/3724 | 14,968,415 | MDExOlB1bGxSZXF1ZXN0NjAzMzI3NA== | 3,724 | DOC: older version of bs4 for 64bit as well | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3725/events | https://github.com/pandas-dev/pandas/pull/3725 | 14,969,604 | MDExOlB1bGxSZXF1ZXN0NjAzMzk0Ng== | 3,725 | DOC/BLD: squash as many doc-build warnings as possible | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3726/events | https://github.com/pandas-dev/pandas/issues/3726 | 14,969,978 | MDU6SXNzdWUxNDk2OTk3OA== | 3,726 | datetime Series should raise on most numerical ops | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3727/events | https://github.com/pandas-dev/pandas/issues/3727 | 14,989,952 | MDU6SXNzdWUxNDk4OTk1Mg== | 3,727 | df.reset_index introduces wrong elements with NaN index values | {
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] | closed | false | null | [] | null | 2 | 2013-05-31T11:52:34Z | 2013-06-01T14:13:57Z | 2013-06-01T14:13:57Z | NONE | null | When there are NaN values in the index, then reset_index introduces incorrect values. That is the case even if the reset_index operation occurs on a different index than the one containing the NaN values:
``` python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame({
...: 'col1' : [1,2,3,4,5,6,7,8],
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3728/events | https://github.com/pandas-dev/pandas/issues/3728 | 14,993,886 | MDU6SXNzdWUxNDk5Mzg4Ng== | 3,728 | Plotting DataFrame with descending index | {
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pandas 0.10.1, mpl 1... | {
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rom ml
http://stackoverflow.com/questions/16860172/python-pandas-pivot-table-silently-drops-indices-with-nans
This is effectivly trying to groupby on a NaN, currently not allowed
```
In [13]: a = [['a', 'b', 12, 12, 12], ['a', nan,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3730/events | https://github.com/pandas-dev/pandas/pull/3730 | 15,002,313 | MDExOlB1bGxSZXF1ZXN0NjA0ODM3Mg== | 3,730 | ENH/CLN: give all AssertionErrors and nose.SkipTest raises an informative message | {
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### UPDATE: The exception parsing script has been moved to [a Gist](https://gist.github.com/cpcloud/6745173)
This PR partially addresses #3024.
- all `AssertionError` exceptions now have an informative error message in them
- some `AssertionErrors` have been converted... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3731/events | https://github.com/pandas-dev/pandas/pull/3731 | 15,011,861 | MDExOlB1bGxSZXF1ZXN0NjA1MzMwNg== | 3,731 | API: raise TypeError on most datetime64 reduction ops | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3732 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3732/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3732/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3732/events | https://github.com/pandas-dev/pandas/pull/3732 | 15,016,195 | MDExOlB1bGxSZXF1ZXN0NjA1NTgzNA== | 3,732 | DOC: fix read_html attribute reading example | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3733/events | https://github.com/pandas-dev/pandas/issues/3733 | 15,024,119 | MDU6SXNzdWUxNTAyNDExOQ== | 3,733 | Slowness for DataFrame.where/mask when dtype=bool | {
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"i... | 19 | 2013-06-01T07:29:33Z | 2013-06-03T02:30:45Z | 2013-06-02T11:58:40Z | CONTRIBUTOR | null | ``` python
data = np.random.randn(10000, 500)
df = pd.DataFrame(data)
df = df.where(df > 0) # create nans
bools = df > 0
reg_mask = bools.mask(pd.isnull(df)) # walltime 10s
float_mask = bools.astype(float).mask(pd.isnull(df)) # walltime 200ms
tm.assert_frame_equal(reg_mask, float_mask) # success
```
I found that whil... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3734 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3734/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3734/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3734/events | https://github.com/pandas-dev/pandas/pull/3734 | 15,031,701 | MDExOlB1bGxSZXF1ZXN0NjA2MjEzMg== | 3,734 | BLD: test_perf.py, add --base-pickle --target-pickle options to test_perf | {
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"i... | 0 | 2013-06-01T19:49:33Z | 2014-06-24T15:20:16Z | 2013-06-01T19:50:22Z | NONE | null | Until now test_perf either generated a single commit report for HEAD,
or fell back to vbench to compare two commits. with this change, can now
compare results between saved results of test_perf -H invocations.
Flow:
- Use build_cache (cdev from #3156) to jump to desired commit using build_cache
- checkout current vb_s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3736 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3736/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3736/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3736/events | https://github.com/pandas-dev/pandas/pull/3736 | 15,032,252 | MDExOlB1bGxSZXF1ZXN0NjA2MjMyOA== | 3,736 | PERF: speed up where operations when splitting blocks (GH3733) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3737 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3737/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3737/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3737/events | https://github.com/pandas-dev/pandas/pull/3737 | 15,038,183 | MDExOlB1bGxSZXF1ZXN0NjA2NDU3NA== | 3,737 | TST: Fix assert_almost_equal error message | {
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"i... | 5 | 2013-06-02T09:15:07Z | 2014-07-16T08:11:22Z | 2013-06-03T17:11:19Z | CONTRIBUTOR | null | Most tests (in pandas' test suite and in general) are of form
`assert_almost_equal(result, expected)`. Verbose error message was
treating its first argument as expected, this is now fixed.
Previous message was:
``` python
err_msg = lambda a, b: 'expected %.5f but got %.5f' % (a, b)
```
But a, the first argument, is... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3738 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3738/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3738/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3738/events | https://github.com/pandas-dev/pandas/issues/3738 | 15,038,844 | MDU6SXNzdWUxNTAzODg0NA== | 3,738 | Assignment with MultiIndex replaces dataframe contents with NaNs | {
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"labels_url": "htt... | 2 | 2013-06-02T10:27:23Z | 2014-02-13T23:12:32Z | 2014-02-13T23:12:32Z | NONE | null | Bug:
`df.loc['bar'] = df['bar'] * 2`; assignment with rhs having a multi-index
Related to http://stackoverflow.com/questions/16833842/assign-new-values-to-slice-from-multiindex-dataframe
``` python
In [246]: arrays = [np.array(['bar', 'bar', 'baz', 'qux', 'qux', 'bar']),
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https://api.github.com/repos/pandas-dev/pandas/issues/3739 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3739/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3739/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3739/events | https://github.com/pandas-dev/pandas/pull/3739 | 15,042,412 | MDExOlB1bGxSZXF1ZXN0NjA2NjAzOQ== | 3,739 | Make div use truediv instead of div | {
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`truediv` rather than integer division. Currently, pandas doesn't
respect `from __future__ import division` (it's defined in a file that
doesn't start with the import, so it always does integer division).
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https://api.github.com/repos/pandas-dev/pandas/issues/3740 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3740/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3740/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3740/events | https://github.com/pandas-dev/pandas/issues/3740 | 15,045,045 | MDU6SXNzdWUxNTA0NTA0NQ== | 3,740 | Unexpected `transform` behavior on grouped dataset | {
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"i... | 20 | 2013-06-02T20:40:12Z | 2013-06-03T21:44:31Z | 2013-06-03T17:09:29Z | NONE | null | I have a simple longitudinal biomedical dataset that I am grouping according to the patient on which measurements are taken. Here are the first couple of groups:
```
1
patient obs week site id treat age sex twstrs treatment
0 1 1 0 1 1 5000U 65 F 32 1
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I have a MultiIndex'ed DataFrame which I want to expand by using... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3743 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3743/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3743/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3743/events | https://github.com/pandas-dev/pandas/pull/3743 | 15,066,490 | MDExOlB1bGxSZXF1ZXN0NjA3Njk0Ng== | 3,743 | BUG: (GH3740) Groupby transform with item-by-item not upcasting correctly | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3744 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3744/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3744/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3744/events | https://github.com/pandas-dev/pandas/pull/3744 | 15,068,277 | MDExOlB1bGxSZXF1ZXN0NjA3NzkwOQ== | 3,744 | ENH: Experimental CustomBusinessDay DateOffset class. fixes #2301 | {
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"i... | 47 | 2013-06-03T14:01:05Z | 2014-07-02T10:29:35Z | 2013-06-21T12:39:20Z | CONTRIBUTOR | null | I took a stab at issue #2301 using the busdaycalendar functionality in numpy 1.7.
### Caveats
There are a few issues with this:
- It requires Numpy 1.7 (I've only tested it on numpy 1.7.1).
- The timezone handling in nump 1.7 is broken (according to [this discussion](http://numpy-discussion.10968.n7.nabble.com/timezon... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2013-06-03T15:06:48Z | 2014-09-20T19:01:26Z | 2014-09-20T19:01:26Z | CONTRIBUTOR | null | related to #3523
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tz should not be settable
```
df=pd.DataFrame({"events":np.ones(len(dates))},index=motor["timestamps"].astype("datetime64[s]"))
df.describe()
```
| | events |
| --- | --- |
| count | 2393 |
| mean | 1 |
| std | 0 |
| min | 1 |
| 25% | 1 |
| 50% | 1 |
| 75% | 1 |
| max | 1 |
```
df
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"i... | 3 | 2013-06-03T16:53:22Z | 2013-06-06T20:20:53Z | 2013-06-06T20:20:53Z | CONTRIBUTOR | null | Was originally reported in http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=700564
it has license header but no copyright information... license without a copyright is ... like a (non-google) car without driver
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https://api.github.com/repos/pandas-dev/pandas/issues/3748 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3748/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3748/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3748/events | https://github.com/pandas-dev/pandas/issues/3748 | 15,081,060 | MDU6SXNzdWUxNTA4MTA2MA== | 3,748 | Selecting columns from a HDFStore with a MultiIndex fails | {
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"i... | 16 | 2013-06-03T18:25:22Z | 2013-09-11T19:38:12Z | 2013-06-03T21:06:35Z | NONE | null | Using the example from the docs here: http://pandas.pydata.org/pandas-docs/dev/io.html#storing-multi-index-dataframes but specifying the 'columns' in `[1219]` keyword when selecting:
```
store.select('df_mi', columns=['A', 'B'])
```
leads to the failure below. The original example works, as does selecting columns wit... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3749 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3749/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3749/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3749/events | https://github.com/pandas-dev/pandas/pull/3749 | 15,083,278 | MDExOlB1bGxSZXF1ZXN0NjA4NTk2MA== | 3,749 | BUG: (GH3748) Incorrectly read a HDFStore multi-index Frame witha column specification | {
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"i... | 0 | 2013-06-03T19:08:40Z | 2014-07-16T08:11:33Z | 2013-06-03T21:06:35Z | CONTRIBUTOR | null | closes #3748
API: raise a `TypeError` on passing `where` or `columns` to select with a Storer
e.g. these are invalid parameters at this time
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"i... | 3 | 2013-06-03T19:42:15Z | 2013-06-13T15:38:49Z | 2013-06-06T00:14:00Z | CONTRIBUTOR | null | we are not testing this now on travis
fails because pytables 3.0 reads back strings as bytes and
infer_dtype doesn't deal with this
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https://api.github.com/repos/pandas-dev/pandas/issues/3751 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3751/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3751/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3751/events | https://github.com/pandas-dev/pandas/pull/3751 | 15,092,914 | MDExOlB1bGxSZXF1ZXN0NjA5MDk1OA== | 3,751 | DOC: document bs4/lxml/html5lib issues | {
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"i... | 48 | 2013-06-03T22:24:22Z | 2014-07-16T08:11:35Z | 2013-06-04T20:02:50Z | MEMBER | null | to summarize this mess of deps and check my thoughts here
### if a user insists on using `lxml` (either with or without `bs4`)
- warning about its inability to deal with the modern web
- warning saying that the user should install `html5lib` and `bs4` so that a page will parse even if `lxml` barfs
- test coverage for f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3752 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3752/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3752/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3752/events | https://github.com/pandas-dev/pandas/issues/3752 | 15,099,224 | MDU6SXNzdWUxNTA5OTIyNA== | 3,752 | BUG: Problem with count aggregation of a boolean column | {
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"f... | 4 | 2013-06-04T02:23:24Z | 2014-04-29T20:05:59Z | 2014-04-29T20:05:59Z | NONE | null | The issue I am having is that in pandas 0.10.0, a count of boolean column with a single item in it would be 1, while a count of multiple items would of course be the number of items. In 0.11.0, it is now True if it is a single item, and the count otherwise.
Result in 0.10.00
``` console
Single item Groupby
DataFrame... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3753 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3753/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3753/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3753/events | https://github.com/pandas-dev/pandas/issues/3753 | 15,123,911 | MDU6SXNzdWUxNTEyMzkxMQ== | 3,753 | BUG: rplot.GeomDensity2D flips axes | {
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line 565 reads:
`ax.contour(Z, extent=[x_min, x_max, y_min, y_max])`
but should read:
`ax.contour(Z.T, extent=[x_min, x_max, y_min, y_max])`
The following test code gives the results shown below:
``` python
import numpy as np
import pandas as pd
import... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3754 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3754/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3754/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3754/events | https://github.com/pandas-dev/pandas/issues/3754 | 15,134,429 | MDU6SXNzdWUxNTEzNDQyOQ== | 3,754 | pandas.Series docstrings | {
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Instead of this:
```
dtype : numpy.dtype or None
If None, dtype will be inferred copy : boolean, default False Copy
input data
copy : boolean, default False
```
Shouldn't it be this?
```
dtype : numpy.dtype or None
If None, dtype will be in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3755 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3755/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3755/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3755/events | https://github.com/pandas-dev/pandas/pull/3755 | 15,138,534 | MDExOlB1bGxSZXF1ZXN0NjExNTI1OA== | 3,755 | DOC: minor issue with the description of the names attribute of multiindexes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3756 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3756/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3756/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3756/events | https://github.com/pandas-dev/pandas/issues/3756 | 15,145,528 | MDU6SXNzdWUxNTE0NTUyOA== | 3,756 | SparseArray with dtype != float64 | {
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"followers_url": "https://api.github.com/users/... | 3 | 2013-06-04T22:48:03Z | 2013-09-20T23:36:42Z | 2013-09-20T23:36:42Z | NONE | null | It would be nice to support sparse arrays with `dtype` that is not just `float64`. Specifically, I have some data that is `int8` but sparse, it would be nice to be able to create a `SparseArray` with the `SparseIndex` feature tracking which values are set and which are not set.
Obviously, `np.nan` can't be used to in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3757 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3757/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3757/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3757/events | https://github.com/pandas-dev/pandas/issues/3757 | 15,165,918 | MDU6SXNzdWUxNTE2NTkxOA== | 3,757 | read_csv epoch parsing with pd.to_datetime() | {
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] | closed | false | null | [] | null | 16 | 2013-06-05T11:47:24Z | 2013-06-06T15:52:15Z | 2013-06-06T11:57:28Z | CONTRIBUTOR | null | References #3764 , #3540
```
!head 001EC00CC49D_processed
timestamp,frequency,voltage,active_power,energy,cost,current,reactive_power,apparent_power,power_factor,phase_angle
1369210417,49.99,234.187,1.138,0.131,0.000,0.014,3.036,3.242,0.351,69.458
1369210418,49.98,234.276,1.043,0.131,0.000,0.014,3.183,3.350,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3758 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3758/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3758/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3758/events | https://github.com/pandas-dev/pandas/pull/3758 | 15,166,233 | MDExOlB1bGxSZXF1ZXN0NjEzMDAwOA== | 3,758 | BUG: (GH3611) revisited; read_excel not passing thru options to ExcelFile.parse | {
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"i... | 0 | 2013-06-05T11:56:43Z | 2014-07-16T08:11:38Z | 2013-06-05T14:02:43Z | CONTRIBUTOR | null | recloses #3611
API: add string and numeric versions of na_values when parsing
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https://api.github.com/repos/pandas-dev/pandas/issues/3759 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3759/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3759/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3759/events | https://github.com/pandas-dev/pandas/issues/3759 | 15,167,067 | MDU6SXNzdWUxNTE2NzA2Nw== | 3,759 | TimeSeries integration optimization | {
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] | closed | false | null | [] | null | 11 | 2013-06-05T12:21:03Z | 2013-06-07T13:20:19Z | 2013-06-07T13:20:19Z | CONTRIBUTOR | null | Currently, using scipy.integrate to numerically integrate a pandas TimeSeries incurs quite a large overhead. I sketched up a quick benchmark in [this notebook](http://nbviewer.ipython.org/5512857). This overhead is causing me quite a lot of trouble in my personal work where this integration is the main bottleneck (some... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3760 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3760/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3760/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3760/events | https://github.com/pandas-dev/pandas/pull/3760 | 15,168,681 | MDExOlB1bGxSZXF1ZXN0NjEzMTMyMQ== | 3,760 | DataFrame.corr() now computing correlations only once | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3761 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3761/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3761/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3761/events | https://github.com/pandas-dev/pandas/issues/3761 | 15,178,616 | MDU6SXNzdWUxNTE3ODYxNg== | 3,761 | single bad value may cause datatype to become object | {
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eg.
CSV contents
```
a,b
1.1,3.1
3.4,4,5
5.6,6.2
c3,7.2
In [37]: df=pd.read_csv('test_bad.csv',error_bad_lines=False)
Skipping line 3: expected 2 fields, saw 3
In [38]: df
Out[38]:
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3762 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3762/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3762/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3762/events | https://github.com/pandas-dev/pandas/pull/3762 | 15,185,162 | MDExOlB1bGxSZXF1ZXN0NjEzOTk3MA== | 3,762 | ENH: support HDFStore in Python3 (via PyTables 3.0.0) | {
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"i... | 0 | 2013-06-05T18:21:30Z | 2014-07-05T15:12:01Z | 2013-06-06T00:14:00Z | CONTRIBUTOR | null | closes #3750
recently released PyTables 3.0.0 (and numexpr 2.1), which now support python3
were completely broken
These changed all data to be stored as bytes (with to/from encoding/decoding)
This PR supports an encoding argument (if you really want to encode your data),
and provides transparent access for python3 (... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3763 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3763/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3763/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3763/events | https://github.com/pandas-dev/pandas/issues/3763 | 15,185,711 | MDU6SXNzdWUxNTE4NTcxMQ== | 3,763 | sql values returned incorrectly. Worked in 0.10.0 doesn't in 0.11.0 | {
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name_q = "SELECT cust_num, name from custaddr"
result = CONNECTION.execute(name_q)
rows = result.fetchall()
COLUMNS = ['cust_num', 'name']
name_df = DataFrame(rows, columns=COLUMNS)
###### ####### Code end
This code worked without fail on 0.10, but started failing as soon as I updated to 0.11.0. ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3764 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3764/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3764/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3764/events | https://github.com/pandas-dev/pandas/pull/3764 | 15,197,656 | MDExOlB1bGxSZXF1ZXN0NjE0NjY0OA== | 3,764 | BUG: Fix __truediv__ numexpr error | {
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---
`__truediv__` had been set up to use numexpr, but this happened by passingthe division operator as the string. numexpr's evaluate only checked 2 frames up, which meant that it picked up the division setting from`frame.py` and would do floor/inte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3766 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3766/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3766/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3766/events | https://github.com/pandas-dev/pandas/pull/3766 | 15,199,251 | MDExOlB1bGxSZXF1ZXN0NjE0NzUyMQ== | 3,766 | ENH: allow fallback when lxml fails to parse | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3767 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3767/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3767/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3767/events | https://github.com/pandas-dev/pandas/issues/3767 | 15,199,412 | MDU6SXNzdWUxNTE5OTQxMg== | 3,767 | Add Pandas PyCON/ SciPy video links to official documentation | {
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Some of the ones i have viewed and are not found on official docs
- http://pyvideo.org/video/696/pandas-powerful-data-analysis-tools-for-python
- http://pyvideo.org/video/611/data-analysis-in-python-with-pandas
- http://www.youtube.com/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3768 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3768/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3768/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3768/events | https://github.com/pandas-dev/pandas/pull/3768 | 15,200,260 | MDExOlB1bGxSZXF1ZXN0NjE0ODExMA== | 3,768 | TST: install numexpr always on travis, bottleneck on full-deps | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3769 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3769/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3769/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3769/events | https://github.com/pandas-dev/pandas/issues/3769 | 15,203,010 | MDU6SXNzdWUxNTIwMzAxMA== | 3,769 | setup.py develop does not perform python 3 conversion | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3770 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3770/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3770/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3770/events | https://github.com/pandas-dev/pandas/pull/3770 | 15,204,505 | MDExOlB1bGxSZXF1ZXN0NjE1MDMyMg== | 3,770 | TST: let tox run more tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3771 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3771/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3771/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3771/events | https://github.com/pandas-dev/pandas/pull/3771 | 15,206,594 | MDExOlB1bGxSZXF1ZXN0NjE1MTM2NQ== | 3,771 | Cookbook epoch handling | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3772 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3772/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3772/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3772/events | https://github.com/pandas-dev/pandas/pull/3772 | 15,208,295 | MDExOlB1bGxSZXF1ZXN0NjE1MjIyNA== | 3,772 | ENH: Provide a default key name in read_hdf and to_hdf | {
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Now for csv:
``` python
df3 = pd.DataFrame(np.random.randn(10, 5), columns=['a', 'b', 'c', 'd', 'e'])
df3.to_csv("df3.csv")
print df3.from_csv("df3.csv")
```
for HDF5:
``` python
df3 = pd.DataFrame(np.random.randn(10, 5),... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3773 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3773/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3773/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3773/events | https://github.com/pandas-dev/pandas/issues/3773 | 15,212,977 | MDU6SXNzdWUxNTIxMjk3Nw== | 3,773 | pandas daily standar deviation | {
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I use the below code to read a netcdf file and get standard deviation of hourly data for each day. Though I get the values they are not matching with the hand computed values. Can any one tell me what I need to do for this to work
with best regards,
Sudheer
``` python
fro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3774 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3774/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3774/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3774/events | https://github.com/pandas-dev/pandas/issues/3774 | 15,215,546 | MDU6SXNzdWUxNTIxNTU0Ng== | 3,774 | error bars | {
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Is there a way to add error bar to a ts.plot object? for example I have a time series and I need to plot the standard deviation along with the data how do I do that ?
Thanks
Sudheer
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https://api.github.com/repos/pandas-dev/pandas/issues/3775 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3775/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3775/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3775/events | https://github.com/pandas-dev/pandas/pull/3775 | 15,220,148 | MDExOlB1bGxSZXF1ZXN0NjE1ODI1Ng== | 3,775 | Update Release notes (PR#3666) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3776 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3776/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3776/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3776/events | https://github.com/pandas-dev/pandas/issues/3776 | 15,224,172 | MDU6SXNzdWUxNTIyNDE3Mg== | 3,776 | concat no longer works on a generator | {
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... | closed | false | null | [] | {
"closed_at": "2013-07-24T23:25:44Z",
"closed_issues": 410,
"created_at": "2013-04-30T04:12:30Z",
"creator": null,
"description": "Major release (formerly 0.11.1 bugfix but has outgrown its britches)",
"due_on": "2013-07-05T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/22",
"i... | 5 | 2013-06-06T14:05:35Z | 2013-06-06T14:41:32Z | 2013-06-06T14:38:58Z | CONTRIBUTOR | null | I updated pandas and now my data loading scripts are broken.
Something like this works on 0.11.0
```
pandas.concat(pandas.DataFrame(np.random.rand(5,5)) for _ in range(3)).reset_index()
```
Does not work on recent master (6cd4adc).
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https://api.github.com/repos/pandas-dev/pandas/issues/3777 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3777/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3777/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3777/events | https://github.com/pandas-dev/pandas/issues/3777 | 15,228,562 | MDU6SXNzdWUxNTIyODU2Mg== | 3,777 | .loc[] assignment gives broadcast error | {
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"followers_url": "https://api.github.com/users/jorisva... | 23 | 2013-06-06T15:22:33Z | 2018-07-06T20:21:00Z | 2017-07-11T09:58:31Z | CONTRIBUTOR | null | ``` python
In [8]: wp = Panel(randn(2, 5, 4), items=['Item1', 'Item2'], major_axis=date_range('1/1/2000', periods=5), minor_axis=['A', 'B', 'C', 'D'])
In [9]: wp2 = Panel(randn(2, 5, 4), items=['Item1', 'Item2'], major_axis=date_range('1/1/2000', periods=5), minor_axis=['A', 'B', 'C', 'D'])
In [10]: wp.loc[['Item1', ... | {
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https://github.com/astropy/astropy/issues/1156
Note that this doesn't fail on DataFrame construction, but on column selection (the last line):
```
import pandas as pd
from astropy.io import fits
data = fi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3779 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3779/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3779/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3779/events | https://github.com/pandas-dev/pandas/issues/3779 | 15,229,218 | MDU6SXNzdWUxNTIyOTIxOA== | 3,779 | Performance of Series vs ndarray? | {
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``` python
In [161]: a = np.arange(100)
In [162]: b = pandas.Series(a)
In [163]: %timeit abs(a).sum()
100000 loops, best of 3: 7.06 us per loop
In [164]: %timeit abs(b).sum()
10000 loops, best of 3: 27.4 us per loop
In [1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3780 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3780/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3780/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3780/events | https://github.com/pandas-dev/pandas/pull/3780 | 15,235,023 | MDExOlB1bGxSZXF1ZXN0NjE2NjQ4Ng== | 3,780 | DOC: document the pitfalls of different byte orders | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3781 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3781/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3781/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3781/events | https://github.com/pandas-dev/pandas/issues/3781 | 15,243,194 | MDU6SXNzdWUxNTI0MzE5NA== | 3,781 | BUG: Numpy Ufunc generates unintuitive AttributeError on object arrays | {
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"labels_url": "htt... | 3 | 2013-06-06T20:21:42Z | 2014-02-18T19:21:48Z | 2014-02-18T19:21:48Z | CONTRIBUTOR | null | Example:
```
In [15]: np.log(Series([1,2,3,4], dtype='object'))
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-15-25deca6462b7> in <module>()
----> 1 np.log(Series([1,2,3,4], dtype='object'))
Attrib... | {
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"i... | 8 | 2013-06-06T21:01:24Z | 2013-06-15T12:27:36Z | 2013-06-15T12:27:36Z | CONTRIBUTOR | null | Should we change the name of `save` to `to_pickle` inline with all of the other ways to export things. At the moment the docs are pretty light on what it does.
(I guess similarly with `load` to `from_pickle`.)
_... not sure I actually have an opinion, but thought I'd throw it out there._ Thoughts?
(this so question:... | {
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to essentially turn into list-of-list (originally np.asaray was doing this,
when we switched to convert_to_platform this changed slightly)
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https://api.github.com/repos/pandas-dev/pandas/issues/3785 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3785/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3785/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3785/events | https://github.com/pandas-dev/pandas/issues/3785 | 15,247,693 | MDU6SXNzdWUxNTI0NzY5Mw== | 3,785 | cython not found when building from source | {
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```
$ cython --version
Cython version 0.17.4
$ python setup.py build
running build
running build_py
copying pandas/version.py -> build/lib.linux-x86_64-2.7/pandas
running build_ext
Traceback (most recent call last):
File "setup... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3787 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3787/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3787/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3787/events | https://github.com/pandas-dev/pandas/pull/3787 | 15,254,224 | MDExOlB1bGxSZXF1ZXN0NjE3NzU1MQ== | 3,787 | CLN deprecate save&load in favour of to_pickle&read_pickle | {
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Both `read_pickle` and `to_pickle` are in `io.pickle`, save&load remain in `core.common`... | {
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Deleting the raising lines seems to only break tests to check that they're raising...
```
df = pd.DataFrame([[1,np.array([10,20,30])],
[1,np.array([40,50,60])],
[2,np.array([20,30... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3789 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3789/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3789/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3789/events | https://github.com/pandas-dev/pandas/pull/3789 | 15,256,269 | MDExOlB1bGxSZXF1ZXN0NjE3ODU2MQ== | 3,789 | Added examples to CSV section in cookbook | {
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- Added link for dealing with bad lines
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https://api.github.com/repos/pandas-dev/pandas/issues/3790 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3790/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3790/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3790/events | https://github.com/pandas-dev/pandas/pull/3790 | 15,265,624 | MDExOlB1bGxSZXF1ZXN0NjE4MzI0Nw== | 3,790 | link to a numerical integration recipe (Issue #3759) | {
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"i... | 20 | 2013-06-07T12:54:41Z | 2021-02-20T08:02:50Z | 2013-06-07T15:40:59Z | NONE | null | BUG: TimeGrouper not too friendly with other groups, e.g.
`df.set_index('Date').groupby([pd.TimeGrouper('6M'),'Branch']).sum()`
should work
---
Hi everybody,
I found two issues with TimeGrouper:
1) TimeGrouper does not work at all:
Let's take the following example:
df = pd.DataFrame({
'Branch' : 'A A A A A B... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3792 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3792/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3792/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3792/events | https://github.com/pandas-dev/pandas/issues/3792 | 15,271,422 | MDU6SXNzdWUxNTI3MTQyMg== | 3,792 | TimeGrouper on a DataFrame | {
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```
In [1]: df = pd.DataFrame([[1, 2]], pd.date_range('20000101', periods=2))
In [2]: df
Out[2]:
0 1
2000-01-01 1 2
2000-01-02 1 2
In [3]: g = df.gro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3793 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3793/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3793/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3793/events | https://github.com/pandas-dev/pandas/issues/3793 | 15,277,557 | MDU6SXNzdWUxNTI3NzU1Nw== | 3,793 | TimeGrouper frequency mismatch | {
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I have the following DataFrame:
df = pd.DataFrame({
'Buyer': 'Carl Mark Carl Joe Joe Carl'.split(),
'Quantity': [1,3,5,8,9,3],
'Date' : [
DT.datetime(2013,9,1,13,0),
DT.datetime(2013,9,1,13,5),
DT.datetime(2013,10,1,20,0),
DT.datetime(2013,10,3,10,0),
DT.datetime(2013,12,2,12,0),
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3794 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3794/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3794/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3794/events | https://github.com/pandas-dev/pandas/issues/3794 | 15,278,529 | MDU6SXNzdWUxNTI3ODUyOQ== | 3,794 | BUG/ENH: groupby with a list of customgroup and string should work | {
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"creator": null,
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"due_on": "2014-05-31T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
"id": 526062,
"labels_url": "htt... | 12 | 2013-06-07T15:51:31Z | 2014-03-15T14:33:32Z | 2014-03-15T14:33:32Z | CONTRIBUTOR | null | see #3791, #2450
The following should work (but raises now)
```
import datetime as DT
df = pd.DataFrame({
'Branch' : 'A A A A A B'.split(),
'Buyer': 'Carl Mark Carl Joe Joe Carl'.split(),
'Quantity': [1,3,5,8,9,3],
'Date' : [
DT.datetime(2013,1,1,13,0),
DT.datetime(2013,1,1,13,5),
DT.datetime(2013,10,1,20,0),
DT.dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3795 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3795/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3795/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3795/events | https://github.com/pandas-dev/pandas/issues/3795 | 15,281,341 | MDU6SXNzdWUxNTI4MTM0MQ== | 3,795 | Read_csv should raise error on bad dtypes | {
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"creator": null,
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"due_on": "2013-07-05T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/22",
"i... | 7 | 2013-06-07T16:50:01Z | 2013-06-07T21:10:07Z | 2013-06-07T21:10:07Z | CONTRIBUTOR | null | OPs code from http://stackoverflow.com/questions/16988526/pandas-reading-csv-as-string-type
Add: auto conversion from a passed `str` or `np.string_` to `np.object` might be ok
```
df
A B
1A 0.209059 0.275554
1B 0.742666 0.721165
df.to_csv(savefile)
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https://api.github.com/repos/pandas-dev/pandas/issues/3796 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3796/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3796/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3796/events | https://github.com/pandas-dev/pandas/issues/3796 | 15,282,751 | MDU6SXNzdWUxNTI4Mjc1MQ== | 3,796 | VIS: errorbar plotting | {
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"creator": null,
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
"id": 526062,
"labels_url": "htt... | 12 | 2013-06-07T17:25:21Z | 2014-03-18T17:42:12Z | 2014-03-18T17:42:12Z | MEMBER | null | quoting @jreback
maybe
s = Series
`s.plot(error_bar = [-1,1])`
equiv to:
```
df = DataFrame(dict(s = s, top = s.std(), bot = -s.std())).plot()
```
bottom seems the right way to do this....
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https://api.github.com/repos/pandas-dev/pandas/issues/3797 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3797/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3797/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3797/events | https://github.com/pandas-dev/pandas/pull/3797 | 15,286,955 | MDExOlB1bGxSZXF1ZXN0NjE5NDc3NQ== | 3,797 | BUG: (GH3795) better error messages for invalid dtype specifications in read_csv | {
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"i... | 8 | 2013-06-07T19:06:19Z | 2014-07-16T08:12:26Z | 2013-06-07T21:10:07Z | CONTRIBUTOR | null | ENH: accept 'str' as a dtype in read_csv to provide correct parsing
closes #3795
```
In [1]: df = DataFrame(np.random.rand(5,2),columns=list('AB'),index=['1A','1B','1C','1D','1E'])
In [2]: df
Out[2]:
A B
1A 0.096563 0.761440
1B 0.623102 0.538810
1C 0.498820 0.277789
1D 0.113544 0.723437
1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3798 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3798/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3798/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3798/events | https://github.com/pandas-dev/pandas/issues/3798 | 15,293,805 | MDU6SXNzdWUxNTI5MzgwNQ== | 3,798 | int handling by ScaleGradient | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2013-06-07T22:05:07Z | 2015-03-04T10:49:21Z | 2015-03-03T01:34:48Z | NONE | null | If the data series passed to `ScaleGradient` in `plot` is integer-valued, it does not generate a correct color gradient. Here is a sequence consisting of integers used in a call to `ScaleGradient`:
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https://api.github.com/repos/pandas-dev/pandas/issues/3799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3799/events | https://github.com/pandas-dev/pandas/issues/3799 | 15,294,299 | MDU6SXNzdWUxNTI5NDI5OQ== | 3,799 | add link to tips data set in rplot docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3800/events | https://github.com/pandas-dev/pandas/issues/3800 | 15,294,569 | MDU6SXNzdWUxNTI5NDU2OQ== | 3,800 | add travis doc build | {
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"f... | 54 | 2013-06-07T22:27:22Z | 2016-01-24T23:04:08Z | 2016-01-24T23:04:08Z | MEMBER | null | not sure if this is worth the trouble but it may catch version incompatibility issues and other bugs not caught by the test suite.
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