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https://api.github.com/repos/pandas-dev/pandas/issues/12704 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12704/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12704/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12704/events | https://github.com/pandas-dev/pandas/issues/12704 | 143,039,815 | MDU6SXNzdWUxNDMwMzk4MTU= | 12,704 | TypeError from to_html on a mixed type column | {
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I'm getting an error when running:
``` python
pd.DataFrame.from_dict({'a': {0: 1., 2: "A"}}).to_html()
```
The traceback is:
```
---------------------------------------------------------------------------
TypeError Traceback (mos... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12705 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12705/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12705/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12705/events | https://github.com/pandas-dev/pandas/issues/12705 | 143,065,054 | MDU6SXNzdWUxNDMwNjUwNTQ= | 12,705 | date_range default calendar day return | {
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"descript... | closed | false | null | [] | null | 4 | 2016-03-23T20:01:54Z | 2016-03-23T22:17:14Z | 2016-03-23T20:48:03Z | NONE | null | #### Code Executed:
```
#0.000016 second less than 24 hours, acrossing 2 calendar day.
print pandas.date_range(start='2016-03-22 12:19:49.053501', end='2016-03-23 12:19:49.053485')
```
#### Output of different versions.
- **Prior to 0.17**<br>
Prior to 0.17 versions, I tested 0.16 and 0.13, they both return two days... | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-03-23T21:44:52Z | 2016-03-26T00:32:57Z | 2016-03-26T00:32:57Z | CONTRIBUTOR | null | ERROR: type should be string, got "https://github.com/pydata/pandas/issues/12704#issuecomment-200554983\n\n```\nIn [1]: pd.describe_option('float_format')\ndisplay.float_format : callable\n The callable should accept a floating point number and return\n a string with the desired format of the number. This is used\n in some places like SeriesFormatter.\n See core.format.EngFormatter for an example.\n [default: None] [currently: None]\n```\n\nThis should raise\n\n```\nIn [2]: pd.set_option('float_format','%.1f')\n```\n" | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12708 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12708/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12708/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12708/events | https://github.com/pandas-dev/pandas/issues/12708 | 143,207,194 | MDU6SXNzdWUxNDMyMDcxOTQ= | 12,708 | pd.rolling_mean for window = 1 does not exactly match input time series | {
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"de... | closed | false | null | [] | null | 1 | 2016-03-24T10:14:47Z | 2016-03-24T14:55:38Z | 2016-03-24T14:55:13Z | NONE | null | In order to have a more generic notation in my code, I want to express my original time series as a moving average over 1 period.
Quite unexpectedly, using pandas pd.rolling_mean function, the two are not exactly the same:
```
import pandas as pd
import numpy as np
np.random.seed(1)
ts = pd.Series(np.random.rand(100... | {
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I noticed that there is some serious degradation in the performance with groupby and aggregate:
For instance, if I run this code:
import pandas as pd, numpy as np,time
nsim=10000
ncol=3000
np.random.seed(42)
index=np.random.randint(0,100,nsim)
values=np.random.normal(size=(nsim, ncol))
df=pd.DataFrame(index... | {
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... | 2 | 2016-03-24T16:11:31Z | 2021-04-23T02:47:23Z | null | NONE | null | The regular output of a dataframe with NaN values displays them as "NaN",
when using the HTML styler, they are displayed as "nan"
I'm not sure if this breaks anything but it is an inconsistency.
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- [ ] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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] | closed | false | null | [] | null | 4 | 2016-03-24T16:36:54Z | 2016-03-24T17:42:11Z | 2016-03-24T17:05:34Z | NONE | null | #### Code Sample, a copy-pastable example if possible
bbc.to_pickle(r'/home/hsong01/work/dataMart/pcbasel/data/bbc_ifrs9')
#### Expected Output
---
SystemError Traceback (most recent call last)
<ipython-input-28-6d93f9c191d3> in <module>()
----> 1 bbc.to_pickle(r'/home/hsong01/work/data... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12714 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12714/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12714/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12714/events | https://github.com/pandas-dev/pandas/pull/12714 | 143,395,392 | MDExOlB1bGxSZXF1ZXN0NjQxMTg2MTI= | 12,714 | Allow float window when using .rolling | {
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"de... | closed | false | null | [] | null | 4 | 2016-03-25T00:37:09Z | 2016-04-10T17:31:05Z | 2016-04-10T17:31:05Z | CONTRIBUTOR | null | - [ ] closes #12669
- [ ] tests added
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
https://github.com/pydata/pandas/issues/12669
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https://api.github.com/repos/pandas-dev/pandas/issues/12715 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12715/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12715/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12715/events | https://github.com/pandas-dev/pandas/issues/12715 | 143,468,159 | MDU6SXNzdWUxNDM0NjgxNTk= | 12,715 | shouldn't pandas.Index.tolist convert from numpy datatypes to native Python datatypes? | {
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"color": "009... | closed | false | null | [] | null | 11 | 2016-03-25T09:57:32Z | 2016-03-25T15:10:20Z | 2016-03-25T13:02:05Z | CONTRIBUTOR | null | I wonder if it wouldn't be better/less surprising if Index.tolist did that conversion. FWIW, I was bitten by it via xlwings which tries to send an index values to Excel via COM by using index.tolist() and since the COM layer only handles basic Python types, it breaks. The patch seems trivial (I can submit a PR if you l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12716 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12716/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12716/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12716/events | https://github.com/pandas-dev/pandas/issues/12716 | 143,566,516 | MDU6SXNzdWUxNDM1NjY1MTY= | 12,716 | BUG: groupby.first() corrupts timezone | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-03-25T18:48:36Z | 2016-04-06T20:40:14Z | 2016-04-06T20:40:14Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
df = pd.DataFrame([{'ts': pd.Timestamp('2016-01-01', tz='America/Los_Angeles'), 'a': 1}])
df.groupby('a').first()
```
The output is
```
ts
a
1 2016-01-01 08:00:00-08:00
```
#### Expected O... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12717 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12717/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12717/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12717/events | https://github.com/pandas-dev/pandas/pull/12717 | 143,693,209 | MDExOlB1bGxSZXF1ZXN0NjQyMzYwMTg= | 12,717 | COMPAT: make read_excel accept path objects for the filepath (#12655) | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2016-03-26T11:35:05Z | 2016-04-01T13:03:09Z | 2016-04-01T13:02:56Z | CONTRIBUTOR | null | - [x] closes #12655
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Fairly simple fix overall, since `get_filepath_or_buffer` is already set up to just convert the path objs to string, we can do that first and then just let the existing logic handle it.
Since th... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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] | closed | false | null | [] | null | 8 | 2016-03-26T15:30:13Z | 2016-04-01T13:17:58Z | 2016-04-01T13:17:54Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
Also correct some badge links
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https://api.github.com/repos/pandas-dev/pandas/issues/12720 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12720/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12720/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12720/events | https://github.com/pandas-dev/pandas/issues/12720 | 143,719,469 | MDU6SXNzdWUxNDM3MTk0Njk= | 12,720 | upload to Requires.io? | {
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```
import sqlite3
import pandas as pd
conn = sqlite3.connect('tmp')
df = pd.DataFrame({'a': [0,1,2]})
df.to_sql('df', conn)
pd.read_sql('SELECT * FROM df WHERE a = ?', conn, params=[1]).shape # (1,2) as expected
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``` python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame(range(10), columns=['foo'])
In [3]: df2 = df.copy()
In [4]: df2.iloc[0] = None
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https://api.github.com/repos/pandas-dev/pandas/issues/12725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12725/events | https://github.com/pandas-dev/pandas/issues/12725 | 144,098,969 | MDU6SXNzdWUxNDQwOTg5Njk= | 12,725 | Loffset doesn't work when resampling with count() | {
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```
>>> import pandas as pd
>>> import numpy as np
>>> rng = pd.date_range('1/1/2012', periods=100, freq='S')
>>> ts = pd.Series(np.ones(len(rng)), index=rng)
>>> ts.resample('10S', loffset='1s').mean() #Works as expected, labels are... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12726/events | https://github.com/pandas-dev/pandas/issues/12726 | 144,113,437 | MDU6SXNzdWUxNDQxMTM0Mzc= | 12,726 | UnboundLocalError: local variable 'mask' referenced before assignment | {
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pd.to_datetime(pd.Series(['Jul 31, 2009', '2010-01-10', None])).to_frame().replace('', np.nan)
```
File "/var/www/envs/fring_internal/local/lib/python2.7/site-packages/pandas/core/generic.py", line 3110, in replace
inplace=inplace, regex=regex)
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https://api.github.com/repos/pandas-dev/pandas/issues/12727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12727/events | https://github.com/pandas-dev/pandas/issues/12727 | 144,151,923 | MDU6SXNzdWUxNDQxNTE5MjM= | 12,727 | pd.timedelta has smaller than expected range | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-03-29T04:14:23Z | 2016-03-31T13:24:07Z | 2016-03-31T13:24:07Z | CONTRIBUTOR | null | The pandas timedelta class has less than expected minimum and maximum timedeltas. The range is `[-99999, 99999]` days instead of [`-999999999, 999999999]` days
#### Code Sample
``` python
expected_max_days = 999999999 # 9 nines
max_days = 99999 # 5 nines
print("1. Expected minimum and maximum")
print(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12728/events | https://github.com/pandas-dev/pandas/pull/12728 | 144,180,902 | MDExOlB1bGxSZXF1ZXN0NjQ0MjM5OTA= | 12,728 | Fix pandas.Timedelta range | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-03-29T07:28:44Z | 2016-03-31T13:24:43Z | 2016-03-31T13:24:07Z | CONTRIBUTOR | null | - [x] closes #12727
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
_Problem_
Pandas Timedelta derives from `datetime.timedelta` and increase
the resolution of the timedeltas. As such the Pandas.Timedelta
object can only have a smaller range of values.
_Solution... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12729/events | https://github.com/pandas-dev/pandas/issues/12729 | 144,208,820 | MDU6SXNzdWUxNDQyMDg4MjA= | 12,729 | Test errors for numpy 1.11 / pandas 0.18.0 | {
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```
======================================================================
ERROR: test_range_slice_day (pandas.tseries.tests.test_period.TestPeriodIndex)
----------------------------------------------------------------------
Traceback (mos... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12730/events | https://github.com/pandas-dev/pandas/issues/12730 | 144,277,146 | MDU6SXNzdWUxNDQyNzcxNDY= | 12,730 | COMPAT: dateutil 2.5.2 broke sometests | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2016-03-29T14:13:56Z | 2016-03-29T17:29:48Z | 2016-03-29T17:29:48Z | CONTRIBUTOR | null | https://github.com/dateutil/dateutil/issues/217 was fixed in 2.5.2
similar to fixes in #12613
so need to adjust our tests based on version >= 2.5.2 to handle the new behavior.
the OSX build uses pip to pick up the new version so currently is failing
the 3.5 build uses latest conda, so its still using 2.5.1
```
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... | 5 | 2016-03-29T16:51:05Z | 2021-04-23T02:53:33Z | null | CONTRIBUTOR | null | So combine with blocks==1 does unecessary work, right [here](https://github.com/pydata/pandas/blob/master/pandas/core/internals.py#L3002)
can be seen vs 0.17.1 from [SO](http://stackoverflow.com/questions/36274447/pd-rolling-mean-becoming-deprecated-alternatives-for-ndarrays/36274775#36274775)
```
import pandas as pd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12734 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12734/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12734/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12734/events | https://github.com/pandas-dev/pandas/issues/12734 | 144,333,736 | MDU6SXNzdWUxNDQzMzM3MzY= | 12,734 | DOC: usage / changes w.r.t. dateutil 2.5.2 | {
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since `dayfirst=True, yearfirst` are now doing the correct thing, have to fix / document what we are doing and any changes (#12731 just fixed the tests)
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https://api.github.com/repos/pandas-dev/pandas/issues/12735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12735/events | https://github.com/pandas-dev/pandas/issues/12735 | 144,339,830 | MDU6SXNzdWUxNDQzMzk4MzA= | 12,735 | Segmentation fault | {
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A little bit hard to reproduce since this only happens when the work i'm doing is a little bit heavy.
But basically, I'm just reading dataframes and using stuff like groupby(), apply(), .loc[x, y], itertuple... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12736 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12736/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12736/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12736/events | https://github.com/pandas-dev/pandas/pull/12736 | 144,345,591 | MDExOlB1bGxSZXF1ZXN0NjQ1MDk2NTM= | 12,736 | COMPAT: compat with released numpy 1.11 for IndexError -> TypeError | {
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closes #12729
closes #12792
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https://api.github.com/repos/pandas-dev/pandas/issues/12737 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12737/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12737/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12737/events | https://github.com/pandas-dev/pandas/issues/12737 | 144,367,421 | MDU6SXNzdWUxNDQzNjc0MjE= | 12,737 | PERF: DataFrame groupby with fast transform | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-03-29T19:46:54Z | 2016-05-18T13:19:39Z | 2016-05-18T13:19:39Z | CONTRIBUTOR | null | from [SO](http://stackoverflow.com/questions/36286803/how-to-speed-up-the-replacement-of-missing-values-for-each-groupby-group-in-pand)
```
import pandas as pd
import numpy as np
df = pd.DataFrame({'group': np.repeat(np.arange(1000), 10),
'B': np.nan,
'C': np.nan})
df.ix[4::10, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12738 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12738/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12738/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12738/events | https://github.com/pandas-dev/pandas/issues/12738 | 144,416,875 | MDU6SXNzdWUxNDQ0MTY4NzU= | 12,738 | Allow .expanding() to be called on groupby object | {
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``` python
def expanding_sum(s):
return s.expanding().sum()
expanded_sum = df.groupby('mygroup')['mynum'].apply(expanding_sum)
```
Would be nice to be able to call a method directly on a groupb... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12739 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12739/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12739/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12739/events | https://github.com/pandas-dev/pandas/pull/12739 | 144,421,492 | MDExOlB1bGxSZXF1ZXN0NjQ1NTI3MTE= | 12,739 | ujson __json__ attribute logic | {
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Ran 8463 tests in 127.338
OK (SKIP=592)
- [x] passes `git diff upstream/master | flake8 --diff`
A port of ujson 1.35 feature: object can define `__json__` attribute for custom serialization. See
https://github.com/esnme/ultrajson/commit/a8f0f0f1010956b27bf0c2cb5e52d85bb84e273a... | {
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- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/12741 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12741/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12741/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12741/events | https://github.com/pandas-dev/pandas/issues/12741 | 144,437,198 | MDU6SXNzdWUxNDQ0MzcxOTg= | 12,741 | CLN: Move i8_boxer logic to BlockManager | {
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Add either `.asobject` property (compat with `Index`) or `.get_object_values()` to `BlockManager/Block`.
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https://api.github.com/repos/pandas-dev/pandas/issues/12742 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12742/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12742/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12742/events | https://github.com/pandas-dev/pandas/pull/12742 | 144,437,697 | MDExOlB1bGxSZXF1ZXN0NjQ1NjEwNjk= | 12,742 | BUG: SparseSeries.shape ignores fill_value | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Based on existing tests / text search, no other metohd depends on current `SparseSeries.shape` (buggy) behavior.
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https://api.github.com/repos/pandas-dev/pandas/issues/12743 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12743/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12743/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12743/events | https://github.com/pandas-dev/pandas/pull/12743 | 144,454,929 | MDExOlB1bGxSZXF1ZXN0NjQ1Njc1MjA= | 12,743 | ENH: allow .rolling / .expanding as groupby methods | {
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closes #12486
closes #12363
- [x] more tests (other methods)
~~\- [ ] doc section in groupby~~ will do later
```
In [3]: pd.options.display.max_rows=10
In [4]: df = pd.DataFrame({'A': [1] * 20 + [2] * 12 + [3] * 8,
'B': np.arange(40)})
In [5]: df
Out[5]:
A B
0 1 0
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The bug appears more often when using ipython. It also appears when using a regular python sheel ... | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
When `.replace` is called with `dict`, replacements are done per value. Current impl try to soft convert the dtype in every replacement, but it is enough to be done in the final replacement.
#### Bench
```
- 712.8... | {
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**v 0.18 and v 0.17.1**
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##### 1. replace bool with int (#12780)
NG, should be int Series
```
pd.Series([True]).replace({True: 3})
#0 True
# dtype: bool
```
##### 2. replace datetime/timedelta with int (#12780)
NG, should be int Series
```
pd.Series([pd.Timestamp('201... | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- xref #12549
- added more `Period` related tests in preparation for period dtype.
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https://api.github.com/repos/pandas-dev/pandas/issues/12749 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12749/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12749/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12749/events | https://github.com/pandas-dev/pandas/issues/12749 | 144,637,979 | MDU6SXNzdWUxNDQ2Mzc5Nzk= | 12,749 | COMPAT: show warning when using numexpr not installed and defaulted | {
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Hi,
Context:
Right now, pandas treats numexpr as an optional dependency. I'm a packager for archlinux, and recently, I got a feedback on the dask package saying that numexpr was missing as a dependency of this package. https://aur.archlinux.org/packages/python-dask/
However, dask does not explicitly on ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12750 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12750/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12750/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12750/events | https://github.com/pandas-dev/pandas/pull/12750 | 144,652,653 | MDExOlB1bGxSZXF1ZXN0NjQ2NjEyNDY= | 12,750 | ENH: Min_weight for Rolling | {
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"color": "02d7e1"... | closed | false | null | [] | null | 20 | 2016-03-30T16:57:48Z | 2017-08-18T00:58:04Z | 2017-08-18T00:58:04Z | CONTRIBUTOR | null | Initial implementation for https://github.com/pydata/pandas/issues/11167.
Needs some additional tests - for dataframes, other axis values etc, but want to get this out there and get feedback.
Note that the implemenation is different than that for `min_periods`. This uses a single function to mask all rolling calculat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12751 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12751/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12751/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12751/events | https://github.com/pandas-dev/pandas/issues/12751 | 144,694,614 | MDU6SXNzdWUxNDQ2OTQ2MTQ= | 12,751 | Allow dtype option to from_records constructor | {
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Something like this w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12752 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12752/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12752/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12752/events | https://github.com/pandas-dev/pandas/pull/12752 | 144,741,759 | MDExOlB1bGxSZXF1ZXN0NjQ3MDk5MzE= | 12,752 | CLN: Move boxing logic to BlockManager | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-03-30T22:48:53Z | 2016-04-03T17:04:29Z | 2016-04-03T17:03:18Z | MEMBER | null | - [x] closes #12741 closes #12772 closes #12469
- [x] tests added / passed
- [x] `map` related boxing
- [x] `quantile`
- [x] passes `git diff upstream/master | flake8 --diff`
- added `Series.asobject` to return boxed `object` values
- remove `common/i8_boxer()`, `Series._maybe_box()` (only used by `.quantile()`)
I... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12753 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12753/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12753/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12753/events | https://github.com/pandas-dev/pandas/pull/12753 | 144,748,602 | MDExOlB1bGxSZXF1ZXN0NjQ3MTQxNjA= | 12,753 | Manhattan plot for bioinformatitians | {
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I'm a pandas user and just wanted to contribute but it was very complicated to commit as a developer...
BTW, I added Manhattan plot which is very popular in genetics and biology
Here is the R equivalent
https://cran.r-project.org/web/packages/qqman/qqman.pdf
## Cheers,
ARYA
- [ ] closes #xxxx
- [ ] tests ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12754 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12754/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12754/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12754/events | https://github.com/pandas-dev/pandas/issues/12754 | 144,811,644 | MDU6SXNzdWUxNDQ4MTE2NDQ= | 12,754 | Large multiindex dataframe shows only NaN values after selected rows are dropped | {
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Using the pandas library v. 17.1, I am trying to remove the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12755 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12755/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12755/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12755/events | https://github.com/pandas-dev/pandas/issues/12755 | 144,816,463 | MDU6SXNzdWUxNDQ4MTY0NjM= | 12,755 | BUG: alignment not happening on in-place ops | {
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... | 5 | 2016-03-31T07:43:35Z | 2020-04-17T22:53:45Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```
In [2]: a = pd.Series(1, index=range(3))
In [3]: b = pd.Series(2, index=range(4))
In [4]: a.dtype
Out[4]: dtype('int64')
In [5]: a += b
In [6]: a.dtype
Out[6]: dtype('float64')
In [7]: a.index == b.index
----------------------------------------------------... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2016-03-31T08:47:00Z | 2017-11-25T14:24:16Z | 2017-11-25T14:24:16Z | NONE | null | A DataFrame index has the map function, which expects a mapper. However, unlike mapping a Series, it only accepts callables, and won't work when mapping through dictionaries or series.
#### Code Sample:
``` python
df = pd.DataFrame({'col1': range(5)})
d = {0: 'zero', 1: 'one', 2: 'two', 3: 'three', 4: 'four'}
df.col1.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12757 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12757/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12757/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12757/events | https://github.com/pandas-dev/pandas/pull/12757 | 144,896,286 | MDExOlB1bGxSZXF1ZXN0NjQ3ODcwMTc= | 12,757 | BUG: loffset argument not applied for resample().count() on timeseries | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-03-31T13:08:17Z | 2016-03-31T13:15:40Z | 2016-03-31T13:15:40Z | CONTRIBUTOR | null | - [x] closes #12725
- [ ] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
The code to do this already existed in the `_downsample` method, which is called when using functions like `mean`. `max`, etc., but there was nothing in the `_groupby_and_aggregate` method used f... | {
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Some inconsistencies there.
```
# OK: specifying int dtype with float value coerces to int (same as numpy)
pd.Series([1, 2, 3.5], dtype=int)
#0 1
#1 2
#2 3
# dtype: int64
# OK
pd.Index(np.array([1, 2, 3.5], dtype=int))
# Int64Index([1, 2, 3], dtype='int6... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12759 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12759/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12759/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12759/events | https://github.com/pandas-dev/pandas/issues/12759 | 144,918,760 | MDU6SXNzdWUxNDQ5MTg3NjA= | 12,759 | API: Change Period('NAT') to return NaT, not Period instance | {
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`Timedelta` returns `NaT` when input can be regarded as `NaT`. Otherwise `Period` returns its special representation (This was done in #7485 prior to `Timedelta`).
```
pd.Timedelta('NaT')
# NaT
pd.Period('NaT', freq='M')
# Period('NaT', 'M')
```
#### Expected Out... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12760 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12760/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12760/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12760/events | https://github.com/pandas-dev/pandas/issues/12760 | 144,945,953 | MDU6SXNzdWUxNDQ5NDU5NTM= | 12,760 | executemany in pd.to_sql? | {
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https://github.com/pydata/pandas/blob/master/pandas/io/sql.py#L745
The SQLite version _does_ use `executemany`: https://github.c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12761 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12761/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12761/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12761/events | https://github.com/pandas-dev/pandas/issues/12761 | 145,083,164 | MDU6SXNzdWUxNDUwODMxNjQ= | 12,761 | read_csv fails with delim_whitespace=True | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12762 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12762/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12762/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12762/events | https://github.com/pandas-dev/pandas/pull/12762 | 145,100,888 | MDExOlB1bGxSZXF1ZXN0NjQ5MDIwNDU= | 12,762 | A tiny typo (I think) in the doc. --Update groupby.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12763 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12763/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12763/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12763/events | https://github.com/pandas-dev/pandas/pull/12763 | 145,104,602 | MDExOlB1bGxSZXF1ZXN0NjQ5MDM5MDg= | 12,763 | Another tiny typo (I think) in the doc. --Update groupby.rst | {
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] | closed | false | null | [] | null | 1 | 2016-04-01T07:10:02Z | 2016-04-01T12:52:34Z | 2016-04-01T12:52:26Z | CONTRIBUTOR | null | A tiny typo, I think. Sorry, everyone, I'm just reading the doc.
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https://api.github.com/repos/pandas-dev/pandas/issues/12764 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12764/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12764/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12764/events | https://github.com/pandas-dev/pandas/issues/12764 | 145,181,612 | MDU6SXNzdWUxNDUxODE2MTI= | 12,764 | CLN: internal array detection | {
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```
def is_array_like(arr):
return isinstance(arr, np.ndarray)
```
analagously to `is_list_like` functions.
These will isolate code changes later.
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"de... | closed | false | null | [] | null | 3 | 2016-04-01T14:58:33Z | 2016-04-01T16:13:43Z | 2016-04-01T15:57:49Z | NONE | null | #### Code Sample, a copy-pastable example if possible
import pandas as pd
In [1]: df = pd.DataFrame([1,1,1,1])
In [2]: pd.rolling_window(df, window=[1,1], mean=False)
C:\Users\login\AppData\Local\Continuum\Anaconda3\lib\site-packages\spyderlib\widgets\externalshell\start_ipython_kernel.py:1: FutureWarning: pd.rollin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12766 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12766/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12766/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12766/events | https://github.com/pandas-dev/pandas/issues/12766 | 145,213,976 | MDU6SXNzdWUxNDUyMTM5NzY= | 12,766 | API: Index.map should return Index rather than array | {
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df2=pd.DataFrame([[0,1],[2,3]],columns=['c1','c2'],index=['i1','i2'])
df2.index.name='index'
df2.to_html()
```
``` html
<table border="1" class="dataframe">\n <thead>\n <tr style="text-align: right;">\n <th></th>\n <th>c1</th>\n <th>c2</th>\n </tr>\n <tr>\n <th>index</th>\n ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12768 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12768/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12768/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12768/events | https://github.com/pandas-dev/pandas/issues/12768 | 145,216,340 | MDU6SXNzdWUxNDUyMTYzNDA= | 12,768 | BUG: filter (with dropna=False) when there are no groups fulfilling the condition | {
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``` python
AttributeError ... | {
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``` python
In [17]: series=pd.Series(range(10), pd.period_range(start='2000', periods=10, name='date', freq='M'))
In [18]: series
Out[18]:
date
2000-01 0
2000-02 1
2000-03 2
2000-04 3
2000-05 4
2000-06 5
2000-07 6
2000-08 7
2000-09 8
2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12770 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12770/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12770/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12770/events | https://github.com/pandas-dev/pandas/issues/12770 | 145,306,541 | MDU6SXNzdWUxNDUzMDY1NDE= | 12,770 | ERR: Resample pad on existing freq causes recursion error | {
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``` python
In [26]: series=pd.Series(range(10), pd.period_range(start='2000', periods=10, name='date', freq='M'))
In [25]: series
Out[25]:
date
2000-01 0
2000-02 1
2000-03 2
2000-04 3
2000-05 4
2000-06 5
2000-07 6
2000-08 7
2000-09 8
2000-10 9
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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#### Code Sample, a copy-pastable example if possible
##### 1. DataFrame may coerce to float even if interpolation
```
# OK, same as numpy
pd.Series([1, 2, 3]).quantile([0.5], interpolation='lower').dtypes
# dtype('int64')
# NG, it must be int
pd.DataFrame({... | {
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In [38]: pd.Series(1, index=pd.period_range(start='2000', periods=100)).resample('M').count()
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-38-295afa97781f> in <module>()
----> 1 pd.Series... | {
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``` python
>>> import pandas as pd
>>> from StringIO import StringIO
>>> data = """id,text,num_lines
1,"line 11
line 12",2
2,"line 21
line 22",2
3,"line 31",1"""
>>> pd.read_csv(StringIO(data))
Out[2]:
id text num_lines
0 1 'line 11\nline 12' ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Implemented the fix for #12768 which was proposed in the bug report.
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Skip `object` conversion if input is numeric already.
```
- 146.41ms 26.45μs 0.00 miscellaneous.to_numeric.time_from_float
```
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https://api.github.com/repos/pandas-dev/pandas/issues/12778 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12778/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12778/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12778/events | https://github.com/pandas-dev/pandas/pull/12778 | 145,465,631 | MDExOlB1bGxSZXF1ZXN0NjUwNjE4NTg= | 12,778 | BUG: to_dense does not preserve dtype in SparseArray | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12779 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12779/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12779/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12779/events | https://github.com/pandas-dev/pandas/pull/12779 | 145,466,568 | MDExOlB1bGxSZXF1ZXN0NjUwNjE5Njc= | 12,779 | BUG: Sparse misc fixes including __repr__ | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Fixes following issues.
```
# NG, should be SparseArray (categorized as API change)
a = pd.SparseArray([1, np.nan, np.nan, 3, np.nan])
type(a.take([1, 2]))
# numpy.ndarray
# NG
s = pd.Series([1... | {
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- [ ] tests added / passed -- only docs, not needed
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`df.groupby(level=['first_name','last_name']).rolling(window=5)`
```
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-35-1ad06da0e074> in <module>()
----> 1 df.groupby(level=['first_n... | {
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- [x] tests added / passed
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- [x] whatsnew entry
Closes #12701
Follows the suggested fix in the comments to the bug report.
Also added a line in whatsnew and a test.
Regarding the tests it passes the one I added. But I just noticed that plent... | {
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https://travis-ci.org/pydata/pandas/jobs/120431675
I suspect because of `numpy=1.7.1`
```
======================================================================
ERROR: test_take (pandas.sparse.tests.test_array.TestSparseArray)
----------------------------------------------------------------------
Traceb... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12787 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12787/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12787/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12787/events | https://github.com/pandas-dev/pandas/pull/12787 | 145,532,605 | MDExOlB1bGxSZXF1ZXN0NjUwNzc4NDc= | 12,787 | BUG: SparseDataFrame indexing may return normal Series | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Found a below bug in `SparseDataFrame` indexing.
```
# NG, must be SparseSeries
df = pd.DataFrame([[1, 2], [np.nan, 4]]).to_sparse()
type(df.loc[0])
# pandas.core.series.Ser... | {
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Running the following with a huge DataFrame with lots of variance within "huge_col" can often cause massive memory overuse:
`pd.get_dummies(huge_df["huge_col"]).values.argmax(1) #times out`
The point here, of course, is to be able to convert the elements of "huge_... | {
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"color": "207d... | closed | false | null | [] | null | 16 | 2016-04-03T22:54:34Z | 2016-11-17T23:51:58Z | 2016-11-16T22:15:16Z | NONE | null | - [x] closes #12660
- [x] tests added / passed
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.loc was fixed to always raise a KeyError with a helpful error message when called on an unsorted MultiIndex DataFrame
Tests ran fine the last time I checked, but if I run them with the latest ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12791 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12791/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12791/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12791/events | https://github.com/pandas-dev/pandas/pull/12791 | 145,588,931 | MDExOlB1bGxSZXF1ZXN0NjUwOTc2Mzc= | 12,791 | Fix for #12723: Unexpected behavior with binary operators and fill… | {
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- [x] tests added / passed
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closes #12723
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https://api.github.com/repos/pandas-dev/pandas/issues/12792 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12792/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12792/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12792/events | https://github.com/pandas-dev/pandas/issues/12792 | 145,714,459 | MDU6SXNzdWUxNDU3MTQ0NTk= | 12,792 | COMPAT: some numpy 1.11 warnings | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2016-04-04T15:15:55Z | 2016-04-05T13:37:52Z | 2016-04-05T13:37:52Z | CONTRIBUTOR | null | we are not fully testing with numpy 1.11 with all of our dependencies as they are not quite available in conda yet. But you can update an existing env and it will work. Some warnings in current master.
```
/Users/jreback/miniconda/lib/python2.7/site-packages/nose/importer.py:94: FutureWarning: The pandas.rpy module is... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12793 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12793/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12793/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12793/events | https://github.com/pandas-dev/pandas/issues/12793 | 145,721,600 | MDU6SXNzdWUxNDU3MjE2MDA= | 12,793 | Strange and possibly buggy behaviour when using series.dt with series.apply(strftime) | {
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```
import pandas as pd
import logging
import pytz
from pytz import timezone
date_format_string = "%a %b %d %Y %H:%M"
def convert_... | {
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2) If having 1-D sparse arrays is the intention, then I think there should be stronger checks against multi-dimensional `data` inputs. For ex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12795 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12795/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12795/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12795/events | https://github.com/pandas-dev/pandas/issues/12795 | 145,770,203 | MDU6SXNzdWUxNDU3NzAyMDM= | 12,795 | pandas.test() FAILS after fresh anaconda install | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2016-04-04T18:41:56Z | 2016-04-04T19:28:01Z | 2016-04-04T19:12:01Z | NONE | null | Hello,
Please see here http://stackoverflow.com/questions/36409183/pandas-test-fails-after-fresh-anaconda-install?noredirect=1#comment60435297_36409183.
I have downloaded a fresh anaconda installer, and ran pandas.test() afterwards. My computer cannot connect to the internet but I am getting failures for tests that d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12796 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12796/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12796/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12796/events | https://github.com/pandas-dev/pandas/pull/12796 | 145,809,570 | MDExOlB1bGxSZXF1ZXN0NjUyMTU5ODc= | 12,796 | ENH/PERF SparseArray.take indexing | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-04-04T21:27:28Z | 2016-04-07T14:37:05Z | 2016-04-07T14:36:57Z | MEMBER | null | - [x] related to #4400 (not close yet as `SparseDataFrame` indexing test is not sufficient)
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Added more tests for sparse indexing. Fixed followings:
- `SparseArray.take` has optimized logic to omit dense `np.ndarray`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12797 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12797/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12797/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12797/events | https://github.com/pandas-dev/pandas/issues/12797 | 145,818,772 | MDU6SXNzdWUxNDU4MTg3NzI= | 12,797 | BUG: Sparse incorrectly handle fill_value | {
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#### Code Sample, a copy-pastable example if possible
```
# NG, 2nd and last element mu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12798 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12798/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12798/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12798/events | https://github.com/pandas-dev/pandas/pull/12798 | 145,855,758 | MDExOlB1bGxSZXF1ZXN0NjUyMzkwNTA= | 12,798 | API: map() on Index returns an Index, not array | {
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- [x] closes #12766
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/12799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12799/events | https://github.com/pandas-dev/pandas/issues/12799 | 145,919,856 | MDU6SXNzdWUxNDU5MTk4NTY= | 12,799 | df.itertuples changes the name of the columns | {
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"followers_url": "https://api.github.com/users/jorisva... | 10 | 2016-04-05T07:55:51Z | 2019-04-03T12:29:11Z | 2016-04-05T12:07:01Z | NONE | null | `df = pd.DataFrame([[1, 'a'],[2, 'b'],[3, 'c'],[4, 'd']], columns=['_id', 'id'])
for row in df.itertuples():
print row.id
print row._id
`
Expected output:
a 1 ......
Actual output
**\* AttributeError: 'Pandas' object has no attribute '_id'
because the _id column gets renamed to _1 in the row object
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https://api.github.com/repos/pandas-dev/pandas/issues/12800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12800/events | https://github.com/pandas-dev/pandas/issues/12800 | 145,974,975 | MDU6SXNzdWUxNDU5NzQ5NzU= | 12,800 | inconsistent behavior of series.last_valid_index, and df.last_valid_index when dataframe empty | {
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idx = pd.DataFrame().last_valid_index() #throws index error
idx = pd.Series().last_valid_index() #returns None
```
if you call last_valid_index() on df it throws an IndexError, if you call it on series it returns None. It seems like it would be very little effort to make these two cases consistent. Moreover, I bel... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12801/events | https://github.com/pandas-dev/pandas/issues/12801 | 146,015,320 | MDU6SXNzdWUxNDYwMTUzMjA= | 12,801 | pd.DataFrame.astype should allow dict as argument | {
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"color": "009... | closed | false | null | [] | null | 1 | 2016-04-05T14:57:01Z | 2016-04-05T15:07:35Z | 2016-04-05T15:03:28Z | NONE | null | Currently `pd.DataFrame.astype` only allows for one type.
I would like it to support a `dict` mapping column names to dtypes.
Like for example the `dtype` argument of `pd.read_json`.
``` python
df = pd.DataFrame({'a': [1, 2, 3], 'b': [1, 2, 3]})
df = df.astype({'a': 'int16', 'b': 'float32'})
```
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https://api.github.com/repos/pandas-dev/pandas/issues/12802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12802/events | https://github.com/pandas-dev/pandas/pull/12802 | 146,054,168 | MDExOlB1bGxSZXF1ZXN0NjUzNDIxMTY= | 12,802 | BUG: fix json segfaults | {
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closes #10778
closes #11299
- [x] tests added / passed
- [x] vbench / asv ok
- [x] windows tests pass
- [x] valgrind clean
- [x] passes `git diff upstream/master | flake8 --diff`
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This fixes several potential segfaults in the json code:
- time objects were freed and potentially garbag... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12803 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12803/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12803/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12803/events | https://github.com/pandas-dev/pandas/pull/12803 | 146,075,431 | MDExOlB1bGxSZXF1ZXN0NjUzNTM5MDE= | 12,803 | ENH: GH11128 add weekday_name to DatetimeIndex and .dt | {
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replaces #11813
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Completed merge of Bahrunnur's PR 'weekday-name'
Moved 'enhancements' to v0.18.1.txt
Added tests to pandas/tests/series/test_datetime_values.py
Added weekday_name property ... | {
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