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https://api.github.com/repos/pandas-dev/pandas/issues/14208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14208/events | https://github.com/pandas-dev/pandas/pull/14208 | 176,455,774 | MDExOlB1bGxSZXF1ZXN0ODQ5MjUwNTg= | 14,208 | ENH: Add divmod to series. | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
edit: in the issue it said this is uncommon; however, I recently ran into an issue where I was doing arithmetic with fiscal quarters and using divmod seemed more natural.
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
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This is very WIP, but wanted to put it up and show the general direction. This adds essentially a modified version of `pandas_ply` that produces plain callables that can be passed to the ex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14210 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14210/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14210/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14210/events | https://github.com/pandas-dev/pandas/issues/14210 | 176,531,961 | MDU6SXNzdWUxNzY1MzE5NjE= | 14,210 | Option to Raise Exception on Unmapped Value in Series.map | {
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"description": "np.nan, ... | open | false | null | [] | null | 4 | 2016-09-13T02:22:20Z | 2021-05-01T23:41:07Z | null | CONTRIBUTOR | null | Add a flag (or extend `na_action`) to raise an exception in `Series.map` if a value is not successfully mapped (ie in the case where `arg` is a dict.
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https://api.github.com/repos/pandas-dev/pandas/issues/14211 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14211/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14211/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14211/events | https://github.com/pandas-dev/pandas/pull/14211 | 176,577,846 | MDExOlB1bGxSZXF1ZXN0ODUwMDMwNTY= | 14,211 | DOC: fix incorrect example in unstack docstring (GH14206) | {
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The following PR closes #14206 and corrects the Docs as suggested in the issue thread.
@jorisvandenbossche Kindly review.
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https://api.github.com/repos/pandas-dev/pandas/issues/14212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14212/events | https://github.com/pandas-dev/pandas/issues/14212 | 176,593,453 | MDU6SXNzdWUxNzY1OTM0NTM= | 14,212 | to_sql doesn't support decimal types - stored as text in database | {
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#### Code Sample, a copy-pastable example if possible
a=pd.DataFrame({'a':[decimal.Decimal('0.1'), decimal.Decimal('0.1'), decimal.Decimal('0.1'), decimal.Decimal('0.3')]})
#### Expected Output
conn is sql alchemy connection
a.to_sql('testdec',conn)
what is produced:
CREATE TABLE testd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14213/events | https://github.com/pandas-dev/pandas/pull/14213 | 176,689,319 | MDExOlB1bGxSZXF1ZXN0ODUwODIyNDk= | 14,213 | BUG: loffset not applied when using resample with agg() (GH13218) | {
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- [x] tests added / passed
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_apply_loffset is called in resampler's downsample and groupby_and_agg methods, defined [here](https://git... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14214/events | https://github.com/pandas-dev/pandas/pull/14214 | 176,724,593 | MDExOlB1bGxSZXF1ZXN0ODUxMDcxNzA= | 14,214 | add check for infinity in __call__ of EngFormatter | {
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This patch checks for infinity and just returns 'inf' in that case. The fix is analagous to the recent fix for NaN:
https://github.com/pydata/pandas/commit/d0734ba4d0f4c228110dc3974943ce4ec2adeea4
``` python
import pandas
import pandas.core.format as fmt
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https://api.github.com/repos/pandas-dev/pandas/issues/14215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14215/events | https://github.com/pandas-dev/pandas/issues/14215 | 176,733,423 | MDU6SXNzdWUxNzY3MzM0MjM= | 14,215 | BUG: Panel.at[] bug with DatetimeIndex | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-09-13T19:52:01Z | 2018-07-06T20:21:10Z | 2017-07-10T21:04:40Z | CONTRIBUTOR | null | ```
In [1]: import pandas as pd
In [2]: import datetime as dt
In [3]: p = pd.Panel(0., items=list('abc'),
major_axis=pd.date_range(dt.date(2000, 1, 1), periods=3),
minor_axis=list('xyz'), dtype=floa
In [4]: p.ix['c', dt.date(2000, 1, 2), 'z'] += 2.
In [5]: p.loc['c', dt.dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14216/events | https://github.com/pandas-dev/pandas/issues/14216 | 176,776,804 | MDU6SXNzdWUxNzY3NzY4MDQ= | 14,216 | Inconsistent type casting between DataFrame and Series | {
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"followers_url": "https://api.github.com/users/jorisva... | 7 | 2016-09-13T23:28:06Z | 2017-09-12T15:43:22Z | 2016-09-14T10:23:44Z | NONE | null | There is an inconsistency between how Series and DataFrames export types to dicts. The issue only manifests if the dataframe has multiple columns with different types. I think the issue is probably pretty far under the surface with differences between Series and DataFrame dtypes and just happened to be uncovered by exp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14217/events | https://github.com/pandas-dev/pandas/issues/14217 | 176,779,851 | MDU6SXNzdWUxNzY3Nzk4NTE= | 14,217 | BUG: Copying columns containing lists | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-09-13T23:50:04Z | 2016-09-14T08:04:03Z | 2016-09-14T01:48:19Z | NONE | null | ## BRIEF EXPLANATION
Copying a column using df.apply() will fail if that column contains lists and the first item in that column is a list of length exactly two.
## CODE SAMPLE
```
import pandas as pd
def list_to_list(df):
return df['list']
check = pd.DataFrame({'id': [0,1], 'list':[['1','2'], ['1', '2']]})
che... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14218 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14218/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14218/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14218/events | https://github.com/pandas-dev/pandas/issues/14218 | 176,875,524 | MDU6SXNzdWUxNzY4NzU1MjQ= | 14,218 | DEPR: deprecate .ix | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14219/events | https://github.com/pandas-dev/pandas/issues/14219 | 176,876,042 | MDU6SXNzdWUxNzY4NzYwNDI= | 14,219 | ENH: options for controlling features | {
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... | 4 | 2016-09-14T10:52:58Z | 2019-09-12T18:45:39Z | 2019-09-12T18:45:39Z | CONTRIBUTOR | null | Various feature changes in the future might be invasive to the long-term support (LTS) concept. IOW, having a deprecation warning for Panel. So allow an option to control this.
- Deprecate `Panel`, #13563
- Deprecate `.ix`: https://github.com/pydata/pandas/issues/14218
something like:
`options.features.panel = 'warn'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14220 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14220/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14220/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14220/events | https://github.com/pandas-dev/pandas/issues/14220 | 176,876,419 | MDU6SXNzdWUxNzY4NzY0MTk= | 14,220 | DEPR: 0.21 deprecations master issue | {
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] | closed | false | null | [] | null | 10 | 2016-09-14T10:55:06Z | 2018-07-13T14:51:50Z | 2018-07-13T14:51:49Z | CONTRIBUTOR | null | Contemplated deprecations for 0.20.0
- [x] Deprecate `Panel`, #13563 (#15601) (0.20.0)
- [x] Deprecate `.ix`: https://github.com/pydata/pandas/issues/14218 (#15113) (0.20.0)
- [ ] Deprecate `.filter` & `.select` https://github.com/pydata/pandas/issues/12401 (#17633, 0.21.0)
- [ ] Deprecate `.between` https://github... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14221 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14221/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14221/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14221/events | https://github.com/pandas-dev/pandas/issues/14221 | 176,879,696 | MDU6SXNzdWUxNzY4Nzk2OTY= | 14,221 | Question / Possibly a Feature request: comparison machinery for unit tests | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-09-14T11:12:51Z | 2016-09-14T11:51:32Z | 2016-09-14T11:15:35Z | CONTRIBUTOR | null | When it comes to writing unit tests that return a `DataFrame` or a `TimeSeries` there's a clear need to compare the output to the expected result. The comparison can be strict, or relaxed in terms of the order of columns and/or order of rows, and could also be forgiving for floats.
I'm thinking of an approach implemen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14222 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14222/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14222/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14222/events | https://github.com/pandas-dev/pandas/issues/14222 | 176,934,459 | MDU6SXNzdWUxNzY5MzQ0NTk= | 14,222 | read_csv(compression='gzip') fails while reading compressed file from s3 | {
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```
import pandas as pd
import boto3
session = boto3.Session()
s3client = session.client('s3')
obj = s3client.get_object(Bucket=bucket_name, Key=objkey)
df = pd.read_csv(obj['Body'], compression='gzip', nrows=5, engine='python')
```
#### Error
```
File "/Users/usern... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14223 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14223/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14223/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14223/events | https://github.com/pandas-dev/pandas/issues/14223 | 176,940,406 | MDU6SXNzdWUxNzY5NDA0MDY= | 14,223 | ENH: add "by" attribute to all plot methods | {
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- boxplot has a grouby attribute "by" which makes it easy to plot all months of a year in a facet grid of subplots: http://stackoverflow.com/a/37687386
- It would be greta to have this also for other plot types such as scatter, line, historgram
I checked and other... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14224/events | https://github.com/pandas-dev/pandas/issues/14224 | 176,972,433 | MDU6SXNzdWUxNzY5NzI0MzM= | 14,224 | sum() does not honor skipna argument | {
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Note that this bug does not arise in pandas 17.1 with numpy 1.11.0, running on Ubuntu.
#### Code Sample, a copy-pastable example if possible
```
import numpy as np
df = pd.DataFrame([[np.nan,np.nan,np.nan,np.nan],
[1,n... | {
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... | closed | false | null | [] | null | 3 | 2016-09-15T01:57:41Z | 2016-09-18T15:57:27Z | 2016-09-18T15:57:27Z | CONTRIBUTOR | null | - [ x] closes #13629
- [ 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/14226 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14226/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14226/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14226/events | https://github.com/pandas-dev/pandas/issues/14226 | 177,097,516 | MDU6SXNzdWUxNzcwOTc1MTY= | 14,226 | Conditionally styling by HTML classes | {
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... | 5 | 2016-09-15T06:14:22Z | 2021-02-08T06:56:18Z | 2021-02-08T06:56:18Z | NONE | null | Currently the `DataFrame.Styler` class provides for adding of css key/value attribute pairs. But it is sometimes preferable to add a HTML class to a cell instead, and then let the styling be done by an external css file.
As an example consider the following DataFrame:
```
df = pd.DataFrame([[1,2],
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https://api.github.com/repos/pandas-dev/pandas/issues/14227 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14227/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14227/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14227/events | https://github.com/pandas-dev/pandas/issues/14227 | 177,205,198 | MDU6SXNzdWUxNzcyMDUxOTg= | 14,227 | Labels mismatch when adding series with repeated index values in 0.19rc1 | {
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"followers_url": "https://api.github.com/users/jr... | 7 | 2016-09-15T15:15:12Z | 2016-09-30T21:23:51Z | 2016-09-30T21:23:35Z | CONTRIBUTOR | null | This showed up in the dask.dataframe test suite when testing against the 0.19 release candidate. I'm unsure if this was an intended change or not:
### Pandas 0.18
``` python
In [1]: import pandas as pd
In [2]: a = pd.Series([1, 2], index=[1, 1])
In [3]: b = pd.Series([10, 10], index=[1, 2])
In [4]: a
Out[4]:
1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14228 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14228/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14228/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14228/events | https://github.com/pandas-dev/pandas/pull/14228 | 177,228,108 | MDExOlB1bGxSZXF1ZXN0ODU0Mzk1Njg= | 14,228 | DOC: #14195. to_csv warns regarding quoting behaviour for floats | {
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- [ ] passes `git diff upstream/master | flake8 --diff`
Added a small warning that if `float_format` is set then floats will be quoted even if csv.QUOTE_NONNUMERIC is set
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https://api.github.com/repos/pandas-dev/pandas/issues/14229 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14229/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14229/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14229/events | https://github.com/pandas-dev/pandas/issues/14229 | 177,231,645 | MDU6SXNzdWUxNzcyMzE2NDU= | 14,229 | Bug in timezone conversion when datetime index has duplicates? | {
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I ran this morning into some nasty bug with Pandas 18.1.
I was not able to find whether you are aware of it or not. Here it is
```
idx=[pd.to_datetime('2012-02-27 14:23:00') , pd.to_datetime('2012-08-27 14:33:00'), pd.to_datetime('2012-02-27 14:23:00')]
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https://api.github.com/repos/pandas-dev/pandas/issues/14230 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14230/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14230/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14230/events | https://github.com/pandas-dev/pandas/pull/14230 | 177,243,525 | MDExOlB1bGxSZXF1ZXN0ODU0NTAwOTc= | 14,230 | BUG: fix alignment in series ops (GH14227) | {
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- [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/14231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14231/events | https://github.com/pandas-dev/pandas/issues/14231 | 177,311,330 | MDU6SXNzdWUxNzczMTEzMzA= | 14,231 | DOC: Series.map na_action confusion | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14232/events | https://github.com/pandas-dev/pandas/pull/14232 | 177,313,109 | MDExOlB1bGxSZXF1ZXN0ODU0OTY4OTU= | 14,232 | DOC: added example to Series.map showing use of na_action parameter (GH14231) | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-09-15T23:16:35Z | 2016-09-16T23:20:51Z | 2016-09-16T23:20:39Z | CONTRIBUTOR | null | - [x] closes #14231
- [x] tests passed
- [x] passes `git diff upstream/master | flake8 --diff`
Added example to Series.map showing use of na_action parameter.
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https://api.github.com/repos/pandas-dev/pandas/issues/14233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14233/events | https://github.com/pandas-dev/pandas/issues/14233 | 177,326,687 | MDU6SXNzdWUxNzczMjY2ODc= | 14,233 | BUG: KeyError from resample().median() with duplicate column names | {
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```
CO2 CO2 CO2 CO2
2016-09-08 00:00:00 1581.0
2016-09-08 00:00:01 1415.0
2016-09-08 00:00:03 1455.0 1446.0
2016-09-08 00:00:05 1581.0
2016-09-08 00:00:06 1415.0
20... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14234/events | https://github.com/pandas-dev/pandas/pull/14234 | 177,341,375 | MDExOlB1bGxSZXF1ZXN0ODU1MTY0MDg= | 14,234 | ENH: Allow usecols to accept callable (GH14154) | {
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- [ X] tests added / passed
- [ X] passes `git diff upstream/master | flake8 --diff`
- [X ] whatsnew entry
<img width="1515" alt="asv_bench" src="https://cloud.githubusercontent.com/assets/609873/18575075/942a9240-7ba1-11e6-9dca-bab8b9987f31.png">
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] | open | false | null | [] | null | 3 | 2016-09-16T07:19:11Z | 2021-07-22T07:42:35Z | null | NONE | null | The python operator 'in' acting on a pandas.Series object behaves in two different ways.
When iterating over the series it acts on the list of values. But for membership testing it acts on the index. Is this the desired behavior?
```
import pandas as pd
s = pd.Series([1, 2, 3])
for v in s: print v
# prints 1 2 3, ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
`MultiIndex.set_levels`, when given illegal level values, raises an error.
When `inplace=True`, though, the illegal level values are still accepted. This
commit fixes that behavior by checking th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14238/events | https://github.com/pandas-dev/pandas/issues/14238 | 177,547,066 | MDU6SXNzdWUxNzc1NDcwNjY= | 14,238 | Faulty nogil assumption in _Py_HashDouble | {
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Any help to make Spearman's speed comparable to Pearson's would be greatly appreciated.
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import pandas as pd
df = pd.DataFrame([{"A": 1000000000.0099}])
cutoff = 1000000000.006
local_res = "works" if df.query("A < @cutoff").empty else "fails"
print("query by local var %s" % local_res)
explicit_res = "works" if df.query("A < %.3f" % cutoff).empty els... | {
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This SO questions asks the simple question of how to recode strings in a data frame as numerical categories http://stackoverflow.com/questions/39475187/how-to-speed-up-recoding-into-integers .
The pandas solution x = df.apply(lambda x: x.astype('category').cat.cod... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14243/events | https://github.com/pandas-dev/pandas/pull/14243 | 177,641,973 | MDExOlB1bGxSZXF1ZXN0ODU3MDQ0NjE= | 14,243 | Revert "TST/TEMP: fix pyqt to 4.x for plotting tests" | {
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For when https://github.com/ContinuumIO/anaconda-issues/issues/1068 is solved
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https://api.github.com/repos/pandas-dev/pandas/issues/14244 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14244/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14244/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14244/events | https://github.com/pandas-dev/pandas/issues/14244 | 177,654,937 | MDU6SXNzdWUxNzc2NTQ5Mzc= | 14,244 | TST: Some nose generator tests not running | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-09-18T14:29:02Z | 2016-09-19T20:11:32Z | 2016-09-19T20:11:32Z | CONTRIBUTOR | null | e.g. pandas/computation/tests/test_eval.py:TestTypeCasting
``` bash
nosetests pandas/computation/tests/test_eval.py:TestTypeCasting -vs -x --with-id
#431 test_binop_typecasting (pandas.computation.tests.test_eval.TestTypeCasting) ... ok
```
The obvious difference is that `TestTypeCasting` inherits from `tm.TestCase`... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-09-18T14:38:51Z | 2017-04-05T02:08:32Z | 2016-09-19T20:11:32Z | CONTRIBUTOR | null | Closes #14244
This class inheriting from TestCase caused
the tests the yield fixture tests to not actually
run. The new output is
```
nosetests pandas/computation/tests/test_eval.py:TestTypeCasting
........................................
----------------------------------------------------------------------
Ran 40 t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14246 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14246/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14246/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14246/events | https://github.com/pandas-dev/pandas/pull/14246 | 177,666,031 | MDExOlB1bGxSZXF1ZXN0ODU3MTc0MjE= | 14,246 | Pivot table drops column/index names=nan when dropna=false | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/14247 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14247/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14247/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14247/events | https://github.com/pandas-dev/pandas/issues/14247 | 177,716,139 | MDU6SXNzdWUxNzc3MTYxMzk= | 14,247 | COMPAT: numexpr interop of logical operations with non-boolean dtypes | {
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... | 3 | 2016-09-19T07:04:47Z | 2020-04-10T03:47:36Z | null | NONE | null | ```
#### Code Sample, a copy-pastable example if possible
# encoding: UTF-8
import pandas as pd
import numpy as np
data1 = {"x": np.random.randint(2, size=6000),
"y":np.random.randint(2, size=6000),
}
df1 = pd.DataFrame(data1)
data2 = {"x": np.random.randint(2, size=6000),
"y":np.random.randint(2, si... | {
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s = Series(["HCPSS_000_123", "HCPSS_100_1234", "HCPSS_200_1234"], index=["CM_1","CM_2","CM_3"])
module = s.str.extractall("HCPSS_(\d{3})")
## Gives the following error
ValueError Traceback (most recent call last)
<ipython-input-43-02... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14249 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14249/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14249/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14249/events | https://github.com/pandas-dev/pandas/issues/14249 | 177,742,370 | MDU6SXNzdWUxNzc3NDIzNzA= | 14,249 | BUG: NaN in multi-index and to_latex() | {
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I was trying to find a small reproducible code for a [larger issue ](http://stackoverflow.com/questions/39569791/pandas-replaces-nan-with-arbitrary-number-when-to-latex)that I wanted to report. On the way there, I stumbled across this (probably related) issue:
```... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14250 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14250/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14250/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14250/events | https://github.com/pandas-dev/pandas/issues/14250 | 177,819,967 | MDU6SXNzdWUxNzc4MTk5Njc= | 14,250 | rename() take datetime.date as a function | {
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] | closed | false | null | [] | null | 3 | 2016-09-19T15:40:46Z | 2016-09-20T09:45:51Z | 2016-09-20T09:45:51Z | NONE | null | I would like to rename a pd.Series but got two results on two different platforms.
For example, if I have a pd.Series as `a` and a datetime.date as `one_date`, and I do:
```
a.rename(one_date)
```
On my own laptop (Window 7, Python 2.7), I got no error.
But when I do this on a server (Linux, Python 2.7), I got an e... | {
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"id": 35818298,... | open | false | null | [] | null | 7 | 2016-09-19T17:29:22Z | 2021-10-29T02:01:41Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```
df = pd.DataFrame({'foo': [1, 2, 3, 4]},
index=pd.Index(['a', 'b', 'c', 'd'], name='names'))
df.reset_index(inplace=True)
```
returns None
#### Expected Output
Same as output of
```
df.reset_index()
```
#### output of `pd.show_versions()`
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```
df = pd.DataFrame({'foo': [1, 2, 3, 4],
'bar': [0.1, 0.2, 0.3, 0.4]})
index = pd.Index(['a', 'b'], name='baz')
concatted = pd.concat([df, df], keys=index)
concatted.index.names
## -- End pasted text --
Out[3]: FrozenList([None, None])
```
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https://api.github.com/repos/pandas-dev/pandas/issues/14253 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14253/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14253/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14253/events | https://github.com/pandas-dev/pandas/issues/14253 | 177,864,458 | MDU6SXNzdWUxNzc4NjQ0NTg= | 14,253 | Add left_by/right_by and left_index/right_index to merge_asof() | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-09-19T18:45:34Z | 2016-12-14T16:10:42Z | 2016-12-14T16:10:42Z | CONTRIBUTOR | null | The current `merge_asof()` has only one parameter for `by`, assuming that both DataFrames have the same column name. It does have `left_on` and `right_on`, so perhaps something similar for `by` would be helpful.
Also, there is no `left_index` or `right_index` parameter in `merge_asof()`. Adding these might be helpful ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14254 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14254/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14254/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14254/events | https://github.com/pandas-dev/pandas/issues/14254 | 177,875,086 | MDU6SXNzdWUxNzc4NzUwODY= | 14,254 | QuarterBegin wrong date | {
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```
#### Code Sample, a copy-pastable example if possible
import pandas as pd
pd.Timestamp.today() - pd.tseries.offsets.QuarterBegin()
>Timestamp('2016-09-01 15:29:06.556269')
#### Expected Output
Timestamp('2016-07-01 15:29:06.556269')
#### output of ``pd.show_v... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14255/events | https://github.com/pandas-dev/pandas/pull/14255 | 177,934,743 | MDExOlB1bGxSZXF1ZXN0ODU4OTM4ODk= | 14,255 | BUG: float truncation in eval with py 2 | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-09-20T00:43:22Z | 2016-09-22T10:20:37Z | 2016-09-22T10:20:26Z | CONTRIBUTOR | null | - [x] closes #14241
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Python 2 only - apparently `str()` rounds shorter than `repr()`
```
In [1]: f = 1000000000.006
In [2]: str(f)
Out[2]: '1000000000.01'
In [3]: repr(f)
Out[3]: '1000000000.006'
```
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https://api.github.com/repos/pandas-dev/pandas/issues/14256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14256/events | https://github.com/pandas-dev/pandas/issues/14256 | 178,003,935 | MDU6SXNzdWUxNzgwMDM5MzU= | 14,256 | BUG: to_json with objects causing segfault | {
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Creating an bson objectID, without giving an objectID exclusively is ok.
``` python
>>> import bson
>>> import pandas as pd
>>> pd.DataFrame({'A': [bson.objectid.ObjectId()]}).to_json()
Out[4]: '{"A":{"0":{"binary":"W\\u0e32\\u224cug\\u00fcR","generation_time":147... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14257 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14257/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14257/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14257/events | https://github.com/pandas-dev/pandas/issues/14257 | 178,076,651 | MDU6SXNzdWUxNzgwNzY2NTE= | 14,257 | Installation issue with --editable option | {
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"followers_url": "https://api.github.com/users/jorisva... | 21 | 2016-09-20T14:30:24Z | 2016-09-21T12:25:32Z | 2016-09-20T22:20:18Z | NONE | null | Hello,
I'm trying to install pandas on Mac OS X 10.11.6 in a Django project. Pandas library is used with one of the 3rd party libraries that I am using in the project.
Since I don't want to switch to different package manager (Anakonda) just for installing pandas (I'm using pip now), in order for me to get the C file... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14258 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14258/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14258/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14258/events | https://github.com/pandas-dev/pandas/issues/14258 | 178,103,848 | MDU6SXNzdWUxNzgxMDM4NDg= | 14,258 | BUG: MultiIndex set_levels is not symmetrical with get_level_values | {
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"followers_url": "https://api.github.com/users/jorisva... | 6 | 2016-09-20T16:04:31Z | 2016-09-22T12:47:23Z | 2016-09-20T22:21:21Z | NONE | null | #### Code Sample
```
import pandas as pd
import io
text = """
A B C
1 1 1
1 2 2
2 1 3
2 2 4
"""
df = pd.read_csv(io.StringIO(text), delimiter = ' ')
# Note the output of get_level_values is the list of all values [1, 1, 2, 2]
print(df.index.get_level_values('A').tolist())
df.set_index(['A','B'], inplace = True)
df.in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14259/events | https://github.com/pandas-dev/pandas/issues/14259 | 178,119,219 | MDU6SXNzdWUxNzgxMTkyMTk= | 14,259 | [0.19dev] Time-series aware rolling window with MultiIndex with a time-frequency index fails | {
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```
dft = pd.DataFrame({'B': [0, 1, 2, np.nan, 4]},
index=pd.date_range('20130101 09:00:00', periods=5, freq='s'))
dft['another'] = ['a', 'a', 'c', 'd', 'e']
dft.set_index([dft.index, 'another'])
dft.rolling('2s')
```
#### Expected Output
Expected to be able to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14260/events | https://github.com/pandas-dev/pandas/issues/14260 | 178,126,578 | MDU6SXNzdWUxNzgxMjY1Nzg= | 14,260 | Styler.background_gradient needs to handle NaN values | {
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... | 19 | 2016-09-20T17:40:26Z | 2019-12-27T22:53:28Z | 2019-08-22T17:23:51Z | CONTRIBUTOR | null | This code is ok under Pandas-0.18.1 (from a @jreback demo)
```
%matplotlib inline
# Pandas interactive
import pandas as pd
import numpy as np
import seaborn as sns
# create a df with random datas
np.random.seed(24)
df = pd.DataFrame({'A': np.linspace(1, 10, 10)})
df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14261/events | https://github.com/pandas-dev/pandas/pull/14261 | 178,129,885 | MDExOlB1bGxSZXF1ZXN0ODYwMjQ3OTQ= | 14,261 | BUG: fix for GH14252 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
This should fix #14252 . It's possible that not every one of these changes is needed, or there is a better way to fix it, but I think this should do it.
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https://api.github.com/repos/pandas-dev/pandas/issues/14262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14262/events | https://github.com/pandas-dev/pandas/issues/14262 | 178,131,480 | MDU6SXNzdWUxNzgxMzE0ODA= | 14,262 | multiple dispatch problem when comparing pandas Series against numpy scalars | {
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```
import pandas as pd
import numpy as np
# this works
pd.Series([7,8,9]) >= np.int64(8)
# this doesn't
np.int64(8) <= pd.Series([7,8,9])
```
This happens with all numpy scalar types I tested
#### Expected Output
I would expect the output should be the same r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14263/events | https://github.com/pandas-dev/pandas/issues/14263 | 178,136,775 | MDU6SXNzdWUxNzgxMzY3NzU= | 14,263 | read_hdf crash python process when use it in multithread code | {
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the python process crashes when the num_tasks>1, if I debug thread by thread, it works, in another, it crashes simply when two threads run at the same time, even though they read different files.
`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14264/events | https://github.com/pandas-dev/pandas/issues/14264 | 178,138,635 | MDU6SXNzdWUxNzgxMzg2MzU= | 14,264 | to_numeric fails to coerce on TypeError, only works on ValueError | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-09-20T18:30:02Z | 2016-09-20T18:51:23Z | 2016-09-20T18:50:42Z | NONE | null | Calling to_numeric with errors='coerce' should coerce all non-numeric values to NaN. However, it only seems to work when ValueError is thrown and not for TypeErrors.
#### Code Sample, a copy-pastable example if possible
```
import pandas as pd
print "Pandas Version %s\n" % pd.__version__
for badval in ["hello", [], ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14265/events | https://github.com/pandas-dev/pandas/issues/14265 | 178,141,962 | MDU6SXNzdWUxNzgxNDE5NjI= | 14,265 | astype(np.int32) converts np.inf to int32 min value | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-09-20T18:42:29Z | 2016-12-11T22:23:50Z | 2016-12-11T22:23:50Z | NONE | null | It seems that converting np.inf to int32 and int64 using pd.astype converts them to the min int value rather than throwing an exception. Presumably this is because they raise OverflowError and not ValueError
#### Code Sample, a copy-pastable example if possible
```
for typ in [np.int32, np.int64]:
for badval in [... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14266 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14266/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14266/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14266/events | https://github.com/pandas-dev/pandas/issues/14266 | 178,279,682 | MDU6SXNzdWUxNzgyNzk2ODI= | 14,266 | Large Monotonic Index Objects Always Allocate Hash Tables on get_loc | {
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"followers_url": "https://api.github.com/users/jr... | 18 | 2016-09-21T08:28:34Z | 2016-09-22T10:03:25Z | 2016-09-22T10:03:24Z | CONTRIBUTOR | null | Historically, large monotonically-increasing `Index` objects would attempt to avoid creating a large hash table on `get_loc` calls. In service of this goal, many `IndexEngine` methods have guards like the one in `DatetimeEngine.get_loc`:
``` python
if self.over_size_threshold and self.is_monotonic_increasing:
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https://api.github.com/repos/pandas-dev/pandas/issues/14267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14267/events | https://github.com/pandas-dev/pandas/issues/14267 | 178,319,078 | MDU6SXNzdWUxNzgzMTkwNzg= | 14,267 | Problem reading HTML tables with colspan | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-09-21T11:25:57Z | 2017-07-23T14:31:37Z | 2017-07-23T14:31:26Z | NONE | null | Hi, guys! First of all, thanks for making this open source! =D Keep up the good work!
**SCRIPT**
```
import pandas as pd
dfs = pd.read_html('https://en.wikipedia.org/wiki/List_of_states_and_territories_of_the_United_States')
print(dfs[0])
```
The output we found where there is any colspan is considering only the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14268 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14268/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14268/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14268/events | https://github.com/pandas-dev/pandas/pull/14268 | 178,330,871 | MDExOlB1bGxSZXF1ZXN0ODYxNTE3NzU= | 14,268 | Update Github issue template | {
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---
#### A small, complete example of the issue
``` python
# Your code here
def fib(n):
return fib(n-1) + fib(n-2)
```
#### Expected Output
Nothing
#### Output of `pd.show_versions()`
<details>
## INSTALLED VERSIONS
commit: None... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14269/events | https://github.com/pandas-dev/pandas/issues/14269 | 178,334,362 | MDU6SXNzdWUxNzgzMzQzNjI= | 14,269 | test_expressions.test_integer* fail badly while building on Debian sid amd64 python3.5 | {
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"d... | closed | false | null | [] | null | 3 | 2016-09-21T12:36:53Z | 2021-05-01T23:49:00Z | 2021-05-01T23:49:00Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Here is a sample (full build log and all 4 failures are at http://neuro.debian.net/_files/_buildlogs/pandas/0.18.1+git25-ga7469cf/pandas_0.18.1+git25-ga7469cf-1_amd64.build )
edit 1: it is all fine with python 2.7
```
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https://api.github.com/repos/pandas-dev/pandas/issues/14270 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14270/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14270/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14270/events | https://github.com/pandas-dev/pandas/pull/14270 | 178,341,372 | MDExOlB1bGxSZXF1ZXN0ODYxNTg1MTA= | 14,270 | PERF: use uniqueness_check from monotonic check when possible | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14271/events | https://github.com/pandas-dev/pandas/pull/14271 | 178,353,221 | MDExOlB1bGxSZXF1ZXN0ODYxNjY0NTg= | 14,271 | DOC: Typo fix in ordered_merge warning | {
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There is warning message for rpy
```
warnings.warn("The pandas.rpy module is deprecated and will be "
"removed in a future version. We refer to external packages "
"like rpy2. "
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... | 0 | 2016-09-21T16:22:32Z | 2019-10-21T20:03:54Z | null | CONTRIBUTOR | null | See discussion in https://github.com/pydata/pandas/issues/14266.
`IndexEngine.get_loc` currently does lookups without building a hash table for large indices, as does `DatetimeEngine.__contains__`. `get_indexer`, however, still always populates a table, as does `__contains__` on non-datetime indices.
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... | 16 | 2016-09-21T19:52:48Z | 2021-10-31T02:29:17Z | 2021-10-31T02:29:16Z | NONE | null | Hello there,
Consider this
```
df = pd.DataFrame({'group' : ['A', 'A', 'A', 'B',
'B', 'B', 'B', 'B'],
'B' : [np.nan,np.nan,np.nan,-4,-2,5,8,7],
'C' : [-5,5,-20,0,np.nan,5,4,-4]})
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-09-21T22:40:12Z | 2016-10-03T08:52:29Z | 2016-10-02T11:56:58Z | CONTRIBUTOR | null | https://travis-ci.org/pydata/pandas/jobs/161159736
xref #14114, #12337
```
======================================================================
ERROR: test_to_latex_filename (pandas.tests.formats.test_format.TestDataFrameFormatting)
----------------------------------------------------------------------
Traceback (m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14276/events | https://github.com/pandas-dev/pandas/issues/14276 | 178,480,627 | MDU6SXNzdWUxNzg0ODA2Mjc= | 14,276 | TST: 2.7-compat build | {
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xref #14208
cc @llllllllll
`np.full_like` must be newer, can you skip on older builds (this build is with 1.7.1)
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https://api.github.com/repos/pandas-dev/pandas/issues/14277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14277/events | https://github.com/pandas-dev/pandas/pull/14277 | 178,499,455 | MDExOlB1bGxSZXF1ZXN0ODYyNjc0MzI= | 14,277 | TST: remove usages of np.full_like for numpy<1.8.0 compat | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-09-22T01:20:03Z | 2016-09-22T10:02:14Z | 2016-09-22T10:02:13Z | CONTRIBUTOR | null | - [x] closes ##14276
- [x] passes `git diff upstream/master | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/14278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14278/events | https://github.com/pandas-dev/pandas/issues/14278 | 178,551,708 | MDU6SXNzdWUxNzg1NTE3MDg= | 14,278 | Inconsistent use of `_` to separate words in method names | {
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Is this going to change for future major versions?
Example: `dir(... | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-09-22T10:08:46Z | 2017-01-11T08:02:34Z | 2017-01-11T08:02:34Z | CONTRIBUTOR | null | when `.sort` and co were changed to be `.sort_values`, `sort_index`. IIRC this was changed to make the change less disruptive. This can be directly replaced by `sort_index`.
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Example:
```
pandas.io.json.read_json(url, timeout=10.0)
```
My current workaround is to temporarily set `socket.setdefaulttimeout(10.0)` globally (default i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14281 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14281/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14281/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14281/events | https://github.com/pandas-dev/pandas/issues/14281 | 178,629,230 | MDU6SXNzdWUxNzg2MjkyMzA= | 14,281 | Problem using argsort in DataFrame | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-09-22T14:41:44Z | 2016-09-22T19:11:10Z | 2016-09-22T19:11:10Z | NONE | null | ```
In [90]: df
Out[90]:
A B C D E
0 0.444939 0.407554 0.460148 0.465239 0.462691
1 0.016545 0.850445 0.817744 0.777962 0.757983
2 0.934829 0.831104 0.879891 0.926879 0.721535
3 0.117642 0.145906 0.199844 0.437564 0.100702
In [91]: df2 = df.apply(lambda ro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14282 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14282/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14282/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14282/events | https://github.com/pandas-dev/pandas/issues/14282 | 178,674,951 | MDU6SXNzdWUxNzg2NzQ5NTE= | 14,282 | Is there a way to append dataframes together more memory-wised efficient? | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-09-22T17:43:26Z | 2016-09-26T17:57:06Z | 2016-09-26T17:57:06Z | NONE | null | for example, i want to concat/append two dataframes into one and only use the final dataframe later on:
`
import numpy as np
import pandas as pd
from pandas.util import testing as tm
from multiprocessing.pool import ThreadPool
num_rows = 100000
def make_df(num_rows=10000):
```
df = pd.DataFrame(np.random.rand(num_r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14283 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14283/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14283/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14283/events | https://github.com/pandas-dev/pandas/issues/14283 | 178,724,926 | MDU6SXNzdWUxNzg3MjQ5MjY= | 14,283 | Series.to_csv quotechar missing or to_csv wrong behaviour | {
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] | closed | false | null | [] | null | 6 | 2016-09-22T21:26:49Z | 2016-09-28T21:15:20Z | 2016-09-28T21:15:20Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
pd.Series(['x','x,x']).to_csv('my_file.txt', index=False)
```
The result of this code when you open the file `my_file.txt` is:
```
x
"x,x"
```
#### Expected Output
I think that either A) we decide that `Series.to_csv` doesn't quote and th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14284 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14284/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14284/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14284/events | https://github.com/pandas-dev/pandas/pull/14284 | 178,763,147 | MDExOlB1bGxSZXF1ZXN0ODY0NDIyMTM= | 14,284 | DOC: Expand reference doc for read_json | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] expanded reference document for `pandas.read_json()`, especially concentrating on the `orient` parameter. Also added some example usage code and explicitly mention `to_json()` as a source of valid JSON strings.
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14285 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14285/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14285/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14285/events | https://github.com/pandas-dev/pandas/issues/14285 | 178,797,807 | MDU6SXNzdWUxNzg3OTc4MDc= | 14,285 | Support reading random rows in `read_csv` | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-09-23T06:45:37Z | 2016-09-23T12:02:15Z | 2016-09-23T12:02:15Z | NONE | null | It is very common to read random rows in a large csv file, typically for testing with a small dataset, or fit the limit of memory. The parameter `nrows` is used for read the first n lines, but I didn't find any feature to read random lines. Such parameter might be named `keeprows` (opposite to `skiprows`), which suppor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14286 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14286/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14286/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14286/events | https://github.com/pandas-dev/pandas/issues/14286 | 178,851,656 | MDU6SXNzdWUxNzg4NTE2NTY= | 14,286 | BUG: column formatting with non-standard objects | {
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... | 6 | 2016-09-23T11:21:05Z | 2020-01-20T07:47:42Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```
frame = pd.DataFrame({('test', 'it'): [42], ('yet', 'again'): [43], ('and', 'more'): [44]})
frame.groupby([('and', 'more'), ('test', 'it')]).mean().unstack()
```
results in:
```
TypeError Traceback (most recent call last)
/home... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14287 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14287/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14287/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14287/events | https://github.com/pandas-dev/pandas/issues/14287 | 178,860,073 | MDU6SXNzdWUxNzg4NjAwNzM= | 14,287 | TestTimedeltaIndexOps | {
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#### Expected Output
#### output of `pd.show_versions()`
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https://api.github.com/repos/pandas-dev/pandas/issues/14288 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14288/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14288/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14288/events | https://github.com/pandas-dev/pandas/issues/14288 | 178,861,025 | MDU6SXNzdWUxNzg4NjEwMjU= | 14,288 | multiple tests errors and failures while building 0.18.1+git25-ga7469cf on i386 (ok on amd64) | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-09-23T12:12:08Z | 2016-09-23T12:23:05Z | 2016-09-23T12:22:24Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
``` shell
% grep -2 '^\(FAIL\|ERROR\|[^ ]*Error:\)' pandas_0.18.1+git25-ga7469cf-1~nd90+1_i386.build
======================================================================
ERROR: test_groupby (pandas.tests.test_categorical.TestCategoricalAsBlock)
-----------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14289 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14289/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14289/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14289/events | https://github.com/pandas-dev/pandas/issues/14289 | 178,861,759 | MDU6SXNzdWUxNzg4NjE3NTk= | 14,289 | test_panel4d: on ubuntu 14.04 (amd64 only) -- AssertionError: Did not see expected warning of class 'FutureWarning' | {
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] | closed | false | null | [] | null | 2 | 2016-09-23T12:16:16Z | 2019-03-10T16:27:41Z | 2019-03-10T16:27:41Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```
% grep -2 '^\(FAIL\|ERROR\|[^ ]*Error:\)' pandas_0.18.1+git25-ga7469cf-1~nd14.04+1_amd64.build | head -20
======================================================================
FAIL: test_table_mixed_dtypes (pandas.io.tests.test_pytables.TestHDFStore)
-------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14290 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14290/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14290/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14290/events | https://github.com/pandas-dev/pandas/pull/14290 | 178,875,860 | MDExOlB1bGxSZXF1ZXN0ODY1MTEzODU= | 14,290 | BUG: set_levels set illegal levels. | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
`MultiIndex.set_levels`, when passed in illegal level values, raises an error.
When `inplace=True`, though, the illegal level values are still accepted. This
commit fixes that behavior by checking... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14291 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14291/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14291/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14291/events | https://github.com/pandas-dev/pandas/issues/14291 | 178,886,132 | MDU6SXNzdWUxNzg4ODYxMzI= | 14,291 | BUG: DataFrame.insert with allow_duplicates=True fails when already duplicates present | {
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"followers_url": "https://api.github.com/users/jre... | 3 | 2016-09-23T14:04:17Z | 2016-10-24T22:51:29Z | 2016-10-24T22:51:28Z | NONE | null | upon DataFrame.insert option allow_duplicates works, but only only once.
When i have 2 columns with same name, additon of third throws
> ValueError: Wrong number of items passed 2, placement implies 1
#### Code Sample, a copy-pastable example if possible
```
a = pd.DataFrame()
a.insert(0, "qwe", [1,2,3,4], allow_dupl... | {
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"followers_url": "https://api.github.com/users/jre... | 4 | 2016-09-23T19:44:46Z | 2016-10-09T17:38:30Z | 2016-10-09T17:38:05Z | CONTRIBUTOR | null | - [x] closes #14252
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Fixes a bug where `pd.concat` didn't propagate the names of keys used to create
a hierarchical index.
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"followers_url": "https://api.github.com/users/jr... | 11 | 2016-09-23T23:55:38Z | 2016-09-27T22:10:32Z | 2016-09-27T22:10:32Z | CONTRIBUTOR | null | For dask.dataframe shuffle operations (groupby.apply, merge), when running with multiple threads per process, I sometimes find my computations dominated by `pandas.algos.groupby_int64`. Looking at the source code for this it looks like it's using dynamic pure python objects from Cython. I'm curious if there are ways ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Ultimately I'm working towards #8212 (types in excel parser), which should be pretty straightforward after this.
Right now the tests are moved from `c_parser_only.py`, may need to add so... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14296 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14296/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14296/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14296/events | https://github.com/pandas-dev/pandas/issues/14296 | 179,051,952 | MDU6SXNzdWUxNzkwNTE5NTI= | 14,296 | I would like to write a hardcore groupby tutorial | {
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After some thoughts, I think I would be useful for everybody if I wrote some nasty, hardcore groupby tutorial with all the crazy data manipulations I use in my code.
I work in a large company, have a phd in finance/economics and many times I pushed Pandas to the limits with 80GB datasets and others.
To do the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14297/events | https://github.com/pandas-dev/pandas/issues/14297 | 179,085,138 | MDU6SXNzdWUxNzkwODUxMzg= | 14,297 | resample interpolate gives unexpected results in 0.18.1 | {
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... | 8 | 2016-09-25T13:03:43Z | 2021-05-01T23:51:59Z | null | NONE | null | #### A small, complete example of the issue
``` python
a = pd.Series([1.,3.,4.,3.,5.,6.,7.,8.], ['2016-05-25 00:00:35','2016-05-25 00:00:50','2016-05-25 00:01:05','2016-05-25 00:01:35','2016-05-25 00:02:05','2016-05-25 00:03:00','2016-05-25 00:04:00','2016-05-25 00:06:00'])
In [79]:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14298/events | https://github.com/pandas-dev/pandas/issues/14298 | 179,085,721 | MDU6SXNzdWUxNzkwODU3MjE= | 14,298 | .info() fails with CategoricalIndex in the columns | {
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"followers_url": "https://api.github.com/users/jre... | 1 | 2016-09-25T13:16:59Z | 2016-11-03T11:12:19Z | 2016-11-03T11:12:19Z | CONTRIBUTOR | null | Just in the columns, the index doesn't cause any issues. This came up as the output of `pd.get_dummies` can have a CategoricalIndex in the columns.
#### A small, complete example of the issue
``` python
In [31]: idx = pd.CategoricalIndex(['a', 'b'])
In [32]: df = pd.DataFrame(np.zeros((2, 2)), index=idx, columns=idx)... | {
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... | 3 | 2016-09-26T06:15:15Z | 2018-07-29T07:31:46Z | 2018-07-29T07:31:46Z | CONTRIBUTOR | null | Using floor on a DatetimeIndex that has a timezone with DST fails when converting the result back to the tz as there may be ambiguous time (see example below).
``` python
# create 15' date range with Brussels tz
idx = pandas.date_range("2016-01-01","2017-01-01",freq="15T", tz="Europe/Brussels")
# transform the index t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14300/events | https://github.com/pandas-dev/pandas/issues/14300 | 179,189,750 | MDU6SXNzdWUxNzkxODk3NTA= | 14,300 | BUG: DataFrame.align() should throw a ValueError when trying to align a DataFrame with a Series and specifying axis=1 | {
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] | closed | false | null | [] | null | 4 | 2016-09-26T10:16:34Z | 2016-09-26T22:51:49Z | 2016-09-26T22:51:30Z | NONE | null | #### A small, complete example of the issue
```
import pandas as pd
import numpy as np
N = 1000
L = np.random.randn(N)
F = pd.DataFrame({'X':L})
S = pd.Series(L)
X = F.align(S,axis=1)
```
This code should throw `ValueError: No axis named 1 for object type <class 'pandas.core.series.Series'>` just like `S.align(S,ax... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14301/events | https://github.com/pandas-dev/pandas/issues/14301 | 179,276,145 | MDU6SXNzdWUxNzkyNzYxNDU= | 14,301 | Greedy date inference in read_csv leads to inconsistent data | {
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``` python
import pandas as pd
df = pd.read_csv('greedy.txt', parse_dates=['EuroDate'])
print(df)
```
with "greedy.txt" as
```
EuroDate
10/9/2016
30/9/2016
```
#### Expected Output
```
EuroDate
0 2016-09-10
1 2016-09-30
```
#### Actual Output
```
EuroDate
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14302/events | https://github.com/pandas-dev/pandas/issues/14302 | 179,286,356 | MDU6SXNzdWUxNzkyODYzNTY= | 14,302 | Index.copy() ignores name/names arguments | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-09-26T17:16:14Z | 2016-09-27T23:44:16Z | 2016-09-27T23:44:16Z | NONE | null | Passing in a name or names arguments to Index.copy doesn't set the name on the resulting index. This fails to work as the docs indicate on both Index and MultiIndex.
``` python
import pandas as pd
index = pd.Index([1,2], name='MyName')
print index.name
cloned_index_1 = index.copy(name='NewName')
print cloned_index_1.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14303/events | https://github.com/pandas-dev/pandas/pull/14303 | 179,298,927 | MDExOlB1bGxSZXF1ZXN0ODY3OTEzMDE= | 14,303 | BUG: Index.copy() honors 'name' parameter (#14302) | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2016-09-26T18:11:42Z | 2016-09-27T23:44:23Z | 2016-09-27T23:44:16Z | CONTRIBUTOR | null | - [x] closes #14302
- [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/14304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14304/events | https://github.com/pandas-dev/pandas/issues/14304 | 179,396,813 | MDU6SXNzdWUxNzkzOTY4MTM= | 14,304 | MultiIndex slicing with .loc returns wrong results | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-09-27T04:48:53Z | 2016-09-27T10:49:41Z | 2016-09-27T10:49:26Z | CONTRIBUTOR | null | #### A small, complete example of the issue
``` python
import pandas
idx = pandas.date_range("2012", "2016", freq="D")
df = pandas.concat([
pandas.DataFrame(1, index=idx, columns=[ctry]) for ctry in ["BE", "FR", "SP"]
],
axis=1).stack().to_frame()
df.i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14305/events | https://github.com/pandas-dev/pandas/issues/14305 | 179,523,957 | MDU6SXNzdWUxNzk1MjM5NTc= | 14,305 | read_gbq precision lost for floats above 10^4 | {
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"color": "005... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2016-09-27T15:17:47Z | 2017-02-09T17:11:31Z | 2017-02-09T17:11:31Z | NONE | null | `pandas.read_gbq` will silently cast float values over 10k to integeres causing precision lost
#### example of the issue
``` python
In[1]:
import pandas as pd
import numpy as np
df=pd.read_gbq('''select * from
(select pi(),9999.9,10000.1,200000.2),
(select 2.72,9999.9999999,10... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14306/events | https://github.com/pandas-dev/pandas/issues/14306 | 179,537,927 | MDU6SXNzdWUxNzk1Mzc5Mjc= | 14,306 | DatetimeIndex.append not working | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-09-27T16:05:12Z | 2016-09-27T16:47:04Z | 2016-09-27T16:47:04Z | NONE | null | #### A small, complete example of the issue
``` python
# Your code here
xx = pd.to_datetime(['2000-01-01','2000-02-01'])
xx.append(xx[0])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Anaconda\lib\site-packages\pandas\tseries\index.py", line 1058, in append
return factory(to_c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14307/events | https://github.com/pandas-dev/pandas/issues/14307 | 179,585,906 | MDU6SXNzdWUxNzk1ODU5MDY= | 14,307 | “Already tz-aware” error when reading h5 file using python 3 (but not 2) | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-09-27T19:12:09Z | 2016-11-23T13:12:02Z | 2016-11-23T13:12:01Z | NONE | null | I have an h5 store named `weather.h5`. My default Python environment is 3.5.2. When I try to read this store I get `TypeError: Already tz-aware, use tz_convert to convert`.
I've tried both `pd.read_hdf('weather.h5','weather_history']` and `pd.io.pytables.HDFStore('weather.h5')['weather_history']`, but I get the error ... | {
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