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https://api.github.com/repos/pandas-dev/pandas/issues/9802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9802/events | https://github.com/pandas-dev/pandas/pull/9802 | 66,157,888 | MDExOlB1bGxSZXF1ZXN0MzI1OTI1NDU= | 9,802 | API: define _constructor_expanddim for subclassing Series and DataFrame | {
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1. If `other` is an `int` or `float`, then `where` throws an Exception while trying to call `other.view`
2. If `other` is an np.int64, it works fine
3. If `other` is an np.float64, there is no error, but the result is bizarre (it reinterprets the bits of the float as an ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9805 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9805/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9805/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9805/events | https://github.com/pandas-dev/pandas/pull/9805 | 66,202,142 | MDExOlB1bGxSZXF1ZXN0MzI2MDYwOTE= | 9,805 | BUG: bug in json lib when frame has length zero | {
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on master:
```
>>> df = DataFrame(columns=['jim', 'joe'])
>>> df
Empty DataFrame
Columns: [jim, joe]
Index: []
>>> df.to_json()
'{}'
```
mixed type will segfault:
```
>>> df['joe'] = df['joe'].astype('i8')
>>> df.to_json()
Segmentation fault (core dumped)
```
on ... | {
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In order to display a number from range (0,1) in decimal format with N significant digits (and not in scientific format), the number needs to be greater than or equal to 1e(-N+1), not 1e-N.
Did not test for range of display.precision, as this does not seem to current practice.
Did not include tests as... | {
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In [11]: df = pd.DataFrame([[1, 3], [2, 3]])
In [12]: df.groupby(1).transform('mean')
Out[12]:
0
0 1
1 1
In [13]: df.groupby(1).mean() # converts when it's a normal groupby mean
Out[13]:
0
1
3 1.5
```
http://stackoverflow.com/a/29437332/1240268
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- I think making it FAQ would most appropriate
- want to think about the orderings
- need a release note to indicate that these have been merged
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- cleans up the install.rst a bit
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https://api.github.com/repos/pandas-dev/pandas/issues/9811 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9811/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9811/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9811/events | https://github.com/pandas-dev/pandas/issues/9811 | 66,349,822 | MDU6SXNzdWU2NjM0OTgyMg== | 9,811 | PyCon 2015 sprints | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2015-04-04T18:22:01Z | 2015-04-28T00:49:50Z | 2015-04-28T00:49:50Z | CONTRIBUTOR | null | I am going to be hosting a 2-day _pandas_ sprint at `PyCon 2015`, on April 13-14, see [here](https://us.pycon.org/2015/). Thanks for choosing to partcipate!
We are in room 513D.
This issue will be the landing page for contributors.
[pandas](http://pandas.pydata.org) is an open source, BSD-licensed library providing ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9812/events | https://github.com/pandas-dev/pandas/pull/9812 | 66,385,478 | MDExOlB1bGxSZXF1ZXN0MzI2NDIxNjI= | 9,812 | BUG: secondary_y may not show legend properly | {
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- `test_graphics.py` is for `.plot()` methods.
- `test_graphics_others.py` is for other plots, such as `.hist()`, `.boxplot` and miscs.
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https://api.github.com/repos/pandas-dev/pandas/issues/9814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9814/events | https://github.com/pandas-dev/pandas/pull/9814 | 66,423,257 | MDExOlB1bGxSZXF1ZXN0MzI2NDY2OTc= | 9,814 | BUG: Repeated time-series plot causes memory leak | {
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- Not to clutter plot functions outside of classes.
- Changed to use classmethods rather than closures for plot funcs.
- Not cache plot function itself on `ax._plot_data`. Changed to store `str` indicates plot kind.
- Moved `tsplot` related codes to `tseries.plotting.py`.
Because the chan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9815/events | https://github.com/pandas-dev/pandas/issues/9815 | 66,465,548 | MDU6SXNzdWU2NjQ2NTU0OA== | 9,815 | DOC: expanding comparison with R section | {
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with some of the verbs from [here](http://nbviewer.ipython.org/urls/gist.githubusercontent.com/TomAugspurger/6e052140eaa5fdb6e8c0/raw/811585624e843f3f80b9b6fe89e181... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9816/events | https://github.com/pandas-dev/pandas/issues/9816 | 66,474,361 | MDU6SXNzdWU2NjQ3NDM2MQ== | 9,816 | Feature request: sorted() methods on everything | {
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But a new `sorted()` method could bring symm... | {
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... | 7 | 2015-04-05T23:26:48Z | 2021-04-18T06:12:16Z | null | NONE | null | When trying to intersect two Index objects containing floats I get the following unexpected behavior:
``` python
>>> new_index = pd.Index(np.arange(0.0,1.0,0.1),dtype='float64')
>>> new_index2 = pd.Index(np.arange(0.5,1.0,0.1),dtype='float64')
>>> intersection = new_index.intersection(new_index2)
Float64Index([0.0, 0.... | {
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Previously the order of new columns from `.assign` was arbitrary. For predictability, we'll sort before inserting.
We need to be comfortable with this change since we can't change behavior later with a keyword arg.
Technically we _could_ allow referencing the a column defined within the same call to `as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9819/events | https://github.com/pandas-dev/pandas/pull/9819 | 66,605,724 | MDExOlB1bGxSZXF1ZXN0MzI2NzgxNzg= | 9,819 | DOC: fix some various doc warnings | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9820/events | https://github.com/pandas-dev/pandas/issues/9820 | 66,608,762 | MDU6SXNzdWU2NjYwODc2Mg== | 9,820 | DateOffset & Timezones | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2015-04-06T13:38:14Z | 2015-04-06T15:32:16Z | 2015-04-06T15:32:08Z | NONE | null | ```
tz = pytz.timezone('America/New_York')
tz.localize(datetime.datetime(2007,3,12)) - DateOffset(days=1)
# Timestamp('2007-03-11 00:00:00-0400', tz='America/New_York')
```
Shouldn't this be?
```
Timestamp('2007-03-11 00:00:00-0500', tz='America/New_York')
```
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https://api.github.com/repos/pandas-dev/pandas/issues/9821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9821/events | https://github.com/pandas-dev/pandas/pull/9821 | 66,675,718 | MDExOlB1bGxSZXF1ZXN0MzI2OTk0MzA= | 9,821 | ENC: better pandas typesetting in ipython nbconvert --to latex | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9822/events | https://github.com/pandas-dev/pandas/issues/9822 | 66,721,921 | MDU6SXNzdWU2NjcyMTkyMQ== | 9,822 | pandas multiindex dataframe, ND interpolation for missing values | {
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see the link for more details:
http://stackoverflow.com/questions/29465398
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https://api.github.com/repos/pandas-dev/pandas/issues/9823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9823/events | https://github.com/pandas-dev/pandas/issues/9823 | 66,723,540 | MDU6SXNzdWU2NjcyMzU0MA== | 9,823 | Corrwith when "other" has different columns | {
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For example, take the two (10, 5) `df1` and `df2` dataframes below.
```
import pandas as pd
import numpy as np
import string
nrow = 10
ncol = 5
axis = 0
index = list(string.ascii_lo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9824/events | https://github.com/pandas-dev/pandas/pull/9824 | 66,741,073 | MDExOlB1bGxSZXF1ZXN0MzI3MjQ3Nzc= | 9,824 | Allow tz-aware inputs in Holiday.dates | {
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Previously, passing tz-aware inputs to Holiday.dates would always result in an error because the the input start_date was converted in a way that destroyed timezone information. This PR makes that conversion correctly preserve tz info, and converts several of the existing tests to run with both tz-aware ... | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2015-04-07T00:46:43Z | 2015-04-08T14:27:18Z | 2015-04-08T14:27:18Z | CONTRIBUTOR | null | The conversion from `start_date` to `base_date` on https://github.com/pydata/pandas/blob/master/pandas/tseries/holiday.py#L206 drops tz information, which causes the `DatetimeIndex` constructor to barf if end_date is tz-aware. Fixed by https://github.com/pydata/pandas/pull/9824.
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https://api.github.com/repos/pandas-dev/pandas/issues/9826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9826/events | https://github.com/pandas-dev/pandas/pull/9826 | 66,744,577 | MDExOlB1bGxSZXF1ZXN0MzI3MjYwOTY= | 9,826 | add biweight midcorrelation as option for series correlation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9827/events | https://github.com/pandas-dev/pandas/issues/9827 | 66,770,751 | MDU6SXNzdWU2Njc3MDc1MQ== | 9,827 | add Cython version as a pip dependency | {
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My point is that, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9828/events | https://github.com/pandas-dev/pandas/pull/9828 | 66,820,682 | MDExOlB1bGxSZXF1ZXN0MzI3NDI0NDA= | 9,828 | BUG: complex is cast to float in sum with level arg | {
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"color": "009... | closed | false | null | [] | null | 3 | 2015-04-07T08:21:26Z | 2015-05-09T19:46:26Z | 2015-05-09T19:46:26Z | NONE | null | Preserve complex dtypes when a stat_function on DataFrame is called with the optional level argument.
Minimal example:
```
import pandas as pd
frame = pd.DataFrame({'z': [1+2j]})
frame.sum(level=0)
```
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... | 17 | 2015-04-07T11:20:53Z | 2015-11-10T01:21:41Z | 2015-11-10T01:21:41Z | NONE | null | closes #9733
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https://api.github.com/repos/pandas-dev/pandas/issues/9830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9830/events | https://github.com/pandas-dev/pandas/pull/9830 | 66,871,835 | MDExOlB1bGxSZXF1ZXN0MzI3NTkzNTA= | 9,830 | DOC: Clean up documentation for convert_objects | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9831/events | https://github.com/pandas-dev/pandas/issues/9831 | 66,998,188 | MDU6SXNzdWU2Njk5ODE4OA== | 9,831 | Ubuntu daily builds are broken due to hg-git import | {
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] | closed | false | null | [] | null | 8 | 2015-04-07T21:48:15Z | 2015-04-09T11:55:13Z | 2015-04-08T13:49:32Z | CONTRIBUTOR | null | Canonical/Ubuntu's launchpad was importing this repo on daily basis and creating packages for Ubuntu based distros
https://code.launchpad.net/~pythonxy/+archive/ubuntu/pythonxy-devel/+packages?field.name_filter=pandas
This run well for many years until recently some changes in the repo broke the chain:
> > The proble... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9832/events | https://github.com/pandas-dev/pandas/issues/9832 | 67,028,392 | MDU6SXNzdWU2NzAyODM5Mg== | 9,832 | Regression: read_csv call with skiprows fails on pandas versions 0.15.2, 0.16.0, works on 0.15.0 and 0.15.1 | {
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# passes for 0.15.0
# passes for 0.15.1
# fails for 0.15.2
# fails for 0.16.0
# This is for a "csv" file where there are a number of initial rows to be skipped at file start.
import pandas as pd
import urllib
test_data_url = 'http://www.bom.gov.au/fwo/IDV60901/IDV60901.95936.axf'
test_file = 'test.csv'
ROWS_TO_SK... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9833/events | https://github.com/pandas-dev/pandas/issues/9833 | 67,055,770 | MDU6SXNzdWU2NzA1NTc3MA== | 9,833 | Dict View Issue in IO data.py | {
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lines 330-332
```
if len(stocks) > 0 and len(failed) > 0:
df_na = stocks.values()[0].copy()
df_na[:] = np.nan
```
For python 3 users the stock.values needs to be wrapped because it's returning a view not a list
```
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https://api.github.com/repos/pandas-dev/pandas/issues/9834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9834/events | https://github.com/pandas-dev/pandas/pull/9834 | 67,123,037 | MDExOlB1bGxSZXF1ZXN0MzI4NTY3MzU= | 9,834 | BUG: skiprows doesn't handle blank lines properly when engine='c' | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9835/events | https://github.com/pandas-dev/pandas/pull/9835 | 67,136,770 | MDExOlB1bGxSZXF1ZXN0MzI4NjI0MTM= | 9,835 | ERR: raise when index_col=True is passed | {
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Add a check to see whether the `index_col` is `True`.
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https://api.github.com/repos/pandas-dev/pandas/issues/9836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9836/events | https://github.com/pandas-dev/pandas/issues/9836 | 67,145,505 | MDU6SXNzdWU2NzE0NTUwNQ== | 9,836 | less than, greater than cuts on categorical don't follow order | {
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If you create a dataframe and assign categories, you can subset:
```
In [1]: import pandas as pd
In [2]: import numpy as np
In [3]: d... | {
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The problem was that at the `Block` level, `where` and `putmask` did a lot of guessing about how the block and the other parameters needed to be transposed in order to align correctly. It guessed wrongly when the DataFrame was symmetric because the shapes match up in both directions. This change tries ... | {
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This needs to be merged before I can fix #9744.
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using `transform` to broadcast the result works fine if the index is an `Int64Index` because the input and output are the same. However, if you actually need the index (e.g. in this example we are ... | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2015-04-10T02:41:58Z | 2015-04-12T13:57:14Z | 2015-04-12T13:37:27Z | CONTRIBUTOR | null | closes https://github.com/pydata/pandas/issues/5664
the added test covers the original issue, though I cannot reproduce that on master; [the one mentioned in the comments](https://github.com/pydata/pandas/issues/5664#issuecomment-49332533) still segfaults on master (if repeated few times) and is fixed by this pr.
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https://api.github.com/repos/pandas-dev/pandas/issues/9847 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9847/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9847/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9847/events | https://github.com/pandas-dev/pandas/issues/9847 | 67,603,437 | MDU6SXNzdWU2NzYwMzQzNw== | 9,847 | API: return_type argument in StringMethods.split() | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2015-04-10T14:04:26Z | 2015-05-09T15:31:25Z | 2015-05-09T15:31:25Z | MEMBER | null | xref #9667 Now we also have string methods available on the index, the possible options for `return_type` ('series', 'frame') are a bit confusing I think: it will be confusing for users to get a Index back even if he/she supplies `return_type='series'` on a Index.str.split, or to get a series back with `Series.str.spli... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9848 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9848/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9848/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9848/events | https://github.com/pandas-dev/pandas/pull/9848 | 67,608,444 | MDExOlB1bGxSZXF1ZXN0MzMwNTE2MzM= | 9,848 | Fix for unequal comparisons of categorical and scalar | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9849/events | https://github.com/pandas-dev/pandas/issues/9849 | 67,624,344 | MDU6SXNzdWU2NzYyNDM0NA== | 9,849 | read_csv : string type not used for multiindex column | {
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"description": "Unexpected or buggy dtyp... | closed | false | null | [] | null | 1 | 2015-04-10T15:49:50Z | 2015-04-11T15:21:46Z | 2015-04-11T15:20:43Z | NONE | null | Hello,
I have a CSV like this :
``` csv
POSTE;DATE;RR;TN;TX;SIGMA
06088001;20150316;8,1;7,4;14,1;11
06088001;20150317;0,6;9,8;15,6;0
```
First column designate a 8 character code which should be handled as a string.
Second column is a datetime. The two columns are designated as index column with index_col argument :... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9850/events | https://github.com/pandas-dev/pandas/issues/9850 | 67,721,481 | MDU6SXNzdWU2NzcyMTQ4MQ== | 9,850 | API: SparseSeries.to_frame and SparseDataFrame.to_panel result in dense structures | {
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"closed_at": "2016-05-05T00:34:40Z",
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"followers_url": "https://api.github.com/users/jr... | 1 | 2015-04-11T02:20:38Z | 2016-04-09T18:01:56Z | 2016-04-09T18:01:56Z | MEMBER | null | Related to #9802. I think these should return sparse.
```
import pandas as pd
ss = pd.SparseSeries([1, 0, 1])
type(ss.to_frame())
# <class 'pandas.core.frame.DataFrame'>
index = pd.MultiIndex.from_tuples([(0, 0), (0, 1), (1, 1)])
sdf = pd.SparseDataFrame([[1, 0, 1], [0, 0, 0], [1, 0, 0]], index=index)
type(sdf.to_pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9851/events | https://github.com/pandas-dev/pandas/issues/9851 | 67,735,100 | MDU6SXNzdWU2NzczNTEwMA== | 9,851 | timedelta from string requires leading 0 | {
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```
In [11]: pd.to_timedelta("06:40:00")
Out[11]: Timedelta('0 days 06:40:00')
In [12]: pd.to_timedelta("6:40:00")
ValueError: cannot create timedelta string converter for [6:40:00]
```
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https://api.github.com/repos/pandas-dev/pandas/issues/9852 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9852/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9852/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9852/events | https://github.com/pandas-dev/pandas/pull/9852 | 67,779,375 | MDExOlB1bGxSZXF1ZXN0MzMxMDI1MTE= | 9,852 | BUG/CLN: Repeated time-series plot may raise TypeError | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2015-04-11T12:18:15Z | 2015-04-18T14:26:06Z | 2015-04-12T13:39:44Z | MEMBER | null | This repeated time-series plotting works:
```
import pandas.util.testing as tm
s1 = tm.makeTimeSeries()
s2 = s1[[0, 5, 10, 11, 12, 13, 14, 15]]
ax = s1.plot()
ax2 = s2.plot(style='g')
```
B... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9853/events | https://github.com/pandas-dev/pandas/pull/9853 | 67,779,897 | MDExOlB1bGxSZXF1ZXN0MzMxMDI1ODE= | 9,853 | BUG: plot(kind=hist) results in TypeError if it contains non-numeric data | {
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... | closed | false | null | [] | {
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df = pd.DataFrame(np.random.rand(20, 5), columns=['A', 'B', 'C', 'D', 'E'])
df['C'] = ['A', 'B', 'C', 'D'] * 5
df['D'] = df['D'] * 100
df.plot(kind='hist')
# TypeError: cannot concatenate 'str' and 'float' objects
```
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https://api.github.com/repos/pandas-dev/pandas/issues/9854 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9854/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9854/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9854/events | https://github.com/pandas-dev/pandas/issues/9854 | 67,806,709 | MDU6SXNzdWU2NzgwNjcwOQ== | 9,854 | asfreq drops the name of the index | {
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... | 1 | 2015-04-11T16:50:54Z | 2015-04-14T13:56:16Z | 2015-04-14T13:56:16Z | CONTRIBUTOR | null | Here's a simple repro
```
In [19]: df = DataFrame(range(3),columns=['foo'],index=pd.date_range('20130101',periods=3,name='bar'))
In [20]: df
Out[20]:
foo
bar
2013-01-01 0
2013-01-02 1
2013-01-03 2
In [21]: df.index.name
Out[21]: 'bar'
In [22]: df.asfreq('10D')
Out[22]:
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https://api.github.com/repos/pandas-dev/pandas/issues/9855 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9855/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9855/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9855/events | https://github.com/pandas-dev/pandas/issues/9855 | 67,815,420 | MDU6SXNzdWU2NzgxNTQyMA== | 9,855 | Add key option to sort methods | {
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"description": "Duplicat... | closed | false | null | [] | null | 3 | 2015-04-11T18:14:58Z | 2015-04-12T13:27:58Z | 2015-04-12T13:27:58Z | NONE | null | One feature that I am missing from dataframes is to sort with a custom `key` function, similar to the builtin `sorted` or `list.sort`. I see there is some effort to unify sorting in issue #8239, so it might be a nice to add this powerful functionality to `pandas` while the sorting API is being overhauled.
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https://api.github.com/repos/pandas-dev/pandas/issues/9856 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9856/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9856/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9856/events | https://github.com/pandas-dev/pandas/issues/9856 | 67,816,607 | MDU6SXNzdWU2NzgxNjYwNw== | 9,856 | BUG: unstack on unicode name level breaks | {
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... | 1 | 2015-04-11T18:29:13Z | 2015-04-14T12:59:48Z | 2015-04-14T12:59:48Z | CONTRIBUTOR | null | xref #9650
```
In [62]: i = pd.MultiIndex(
levels=[[u'foo', u'bar'], [u'one', u'two'], [u'a', u'b']],
labels=[[0, 0, 1, 1], [0, 1, 0, 1], [1, 0, 1, 0]],
names=[u'first', u'second', u'third'])
In [63]: s = pd.Series(0, index=i)
In [64]: s.unstack([1,2]).stack(0)
KeyError: 'Level t not found'
```
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https://api.github.com/repos/pandas-dev/pandas/issues/9857 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9857/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9857/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9857/events | https://github.com/pandas-dev/pandas/issues/9857 | 67,832,165 | MDU6SXNzdWU2NzgzMjE2NQ== | 9,857 | Adding new rows drops index name | {
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df = pd.DataFrame({'x': [1,2,6], 'y': [2,2,8], 'z':[-5,0,5]})
df = df.set_index('z')
```
Then `df.index.name` is `'z'`. After modifying an existing row
```
df.loc[5] = {'x': 9, 'y': 99}
```
it's still fine. But once we add a new index:
```
df.loc[10] = {'x': 7, 'y': 77}
```
`df.index.name` is `None`.
I use Pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9858 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9858/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9858/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9858/events | https://github.com/pandas-dev/pandas/pull/9858 | 67,833,157 | MDExOlB1bGxSZXF1ZXN0MzMxMTAwNTQ= | 9,858 | DOC: add more examples to StringMethods on Index | {
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@jorisvandenbossche please take a look, thanks
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https://api.github.com/repos/pandas-dev/pandas/issues/9859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9859/events | https://github.com/pandas-dev/pandas/issues/9859 | 67,835,385 | MDU6SXNzdWU2NzgzNTM4NQ== | 9,859 | CLN: blocks, not series, should contain logic for arithmetic | {
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... | 6 | 2015-04-11T21:32:42Z | 2018-10-25T10:13:00Z | 2018-10-25T10:13:00Z | MEMBER | null | See discussion here: https://github.com/pydata/pandas/pull/9848#discussion_r28181084
This would likely help clean up some of the Series/DataFrame discrepancies in arithmetic operations (mostly for datetime types).
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- Assume current axes is `ax` (left ax)
- create `new_ax` (right ax) via `ax.twinx`
- Let `ax.right_ax` to specify `new_ax` (right ax)
- Let `new_ax.left_ax` to specify `ax` (left ax)
- Let `new_ax.right_ax` to specify `new_ax` (incorrect)
The last one is ... | {
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## Index.name
- [ ] `Panel.fillna`, #3570
- [ ] groupby on empty, #8093
- [x] `.append`, https://github.com/pydata/pandas/issues/9857 (closed by #9876)
- [x] groupby `.size`, #9925
- [x] timedelta ops, #9926
- [ ] `.int... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9864/events | https://github.com/pandas-dev/pandas/pull/9864 | 67,963,643 | MDExOlB1bGxSZXF1ZXN0MzMxMjcwOTU= | 9,864 | Fix for comparisons of categorical and an scalar not in categories | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2015-04-12T21:45:29Z | 2015-04-13T13:40:24Z | 2015-04-13T13:40:24Z | CONTRIBUTOR | null | Up to now, a comparison of categorical data and a scalar, which
is not in the categories would return `False` for all elements when
it should raise a `TypeError`, which it now does.
Also fix that `!=` comparisons would return `False` for all elements
when the more logical choice would be `True`.
Fixes the raised issu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9865 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9865/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9865/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9865/events | https://github.com/pandas-dev/pandas/issues/9865 | 67,964,963 | MDU6SXNzdWU2Nzk2NDk2Mw== | 9,865 | "Cannot convert tz-naive timestamps" | {
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[Docs](http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.tz_convert.html) say that `tz_convert` "Convert the axis to target time zone. _If it is time zone naive, it will be localized to the passed time zone_."
But the code in contrast raises an [except... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9866 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9866/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9866/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9866/events | https://github.com/pandas-dev/pandas/pull/9866 | 67,991,469 | MDExOlB1bGxSZXF1ZXN0MzMxMzI1NzM= | 9,866 | DOC/CLN: fixed bloolean indexing example, cleaned up typos | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2015-04-13T02:46:35Z | 2015-04-13T19:04:07Z | 2015-04-13T07:28:03Z | CONTRIBUTOR | null | The boolean indexing example http://pandas.pydata.org/pandas-docs/version/0.16.0/indexing.html#boolean-indexing seems to be broken for a while. The variable `s` is being set in a much earlier part of the page and is not suitable for this example.
Also cleaned up a few minor typos.
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... | 10 | 2015-04-13T03:30:53Z | 2019-03-01T04:01:07Z | 2016-05-09T20:37:28Z | NONE | null | I found It's difficult to predict what `DataFrame.groupby().apply()` will return. the result depends on the type of the return object and the index of the return object. for example:
```
import pandas as pd
df = pd.DataFrame({"a":[1, 2, 1, 2], "b":[1, 2, 3, 4], "c":[5, 6, 7, 8]})
```
When the argument and the return ... | {
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This commit allows for the `Timedelta` class to take a construction like `Timedelta('0:00:00')` or `Timedelta('00:00:00')`.
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Decimal objects don't support dtype, so we exclude all objects from fill_zeros that do not support .dtype or .type and are not scalar.
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object. This allows the output dtype to differ from the input. Fixes #9807.
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https://api.github.com/repos/pandas-dev/pandas/issues/9874 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9874/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9874/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9874/events | https://github.com/pandas-dev/pandas/issues/9874 | 68,144,103 | MDU6SXNzdWU2ODE0NDEwMw== | 9,874 | Dictionary assignment with loc with existing index doesn't properly match column names in dict | {
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``` python
In [3]: df = pd.DataFrame({'x': [1,2,6], 'y': [2,2,8], 'z':[-5,0,5]})
In [4]: df = df.set_index('z')
In [5]: rhs = {'x': 9, 'y': 99}
In [6]: df.loc[5]
Out[6]:
x 6
y 8
Name: 5, dtype: int64
In [7]: df.loc[5] = rhs
In [8]: df
Out[8]:
x ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9875/events | https://github.com/pandas-dev/pandas/pull/9875 | 68,144,772 | MDExOlB1bGxSZXF1ZXN0MzMxODI2NjE= | 9,875 | BUG: unstack on unicode name level breaks #9856 | {
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[PYCON 2015 Sprints]
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"followers_url": "https://api.github.com/users/jr... | 2 | 2015-04-13T19:41:07Z | 2015-04-21T23:41:18Z | 2015-04-21T23:41:18Z | CONTRIBUTOR | null | As a follow-on to #9827, add a test for packaging pandas and importing that package into a venv that does not contain cython via https://github.com/pydata/pandas/wiki/Release-Checklist:
- python setup.py sdist --formats=zip,gztar
- create virtualenv with pandas dependencies (requirements_dev.txt), minus cython
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Created a more informative error message.
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Added a cython version check at the top of setup.py; minimum version of 0.19.1. If the minimum isn't met, _CYTHON_INSTALLED sets to false, so the installation can proceed if cython is not needed, but will fail if cython is needed (with an appropriate error message).
Two new travis jobs added to test inst... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9882 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9882/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9882/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9882/events | https://github.com/pandas-dev/pandas/issues/9882 | 68,180,845 | MDU6SXNzdWU2ODE4MDg0NQ== | 9,882 | Support Stata 14 format (format 118) | {
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The beautiful people at stata have released documentation for the format here: http://www.stata.com/help.cgi?dta
And the old format is here:
http://www.stata.com/help.cgi?dta_117
The docs say that it'll highlight changes between... | {
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(Towards the end of https://github.com/pydata/pandas/issues/6552)
My proposal for now is to set the name of the new index created by the asfreq function.
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... | 3 | 2015-04-13T20:21:25Z | 2021-04-18T06:15:41Z | null | CONTRIBUTOR | null | As mentioned in #6552 there is an open question about whether reindex should keep the index name if the new index has no name.
Current Behavior:
- reindex keeps index name if the argument is a list or an ndarray
- replaces the index name if the argument is an index, even if the new index does not have a new name.
Rel... | {
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- consistent imports
- visible imports
So the code snippets can be ran without having to know what should be imported, apart from the default imports.
But in ... | {
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or by throwing an AbstractMethodError in the case of abstract methods (eg: Mixins) that
should be overwritten by the inheriting classes.
This issue is based on discussion of PR #7899 which was never merged.
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closes #9794
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This PR enables `axis='items'` and also updates the docstring to show the parameter `periods` instead of the deprecated `lags`
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... | 3 | 2015-04-14T03:59:04Z | 2015-07-12T14:58:44Z | 2015-07-12T14:58:44Z | CONTRIBUTOR | null | Modifies the horizontal bar plot behavior to plot series in order from top-to-bottom.
Plotting a regular bar graph from a DataFrame object will plot each series of data from left-to-right in the same order as presented in the legend from top-to-bottom. When plotting a horizontal bar graph the series of data are plotte... | {
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```
import pandas as pd
import itertools
a = pd.period_range('2013Q1','2013Q4', freq='Q')
i = (1111, 2222, 3333)
idx = pd.MultiIndex.from_tuples(list(itertools.product(a, i)),
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Sample data:
```
df = pd.DataFrame(np.random.randn(10, 3))
```
| Command | Current Behavior | Expected Behavior |
| --- | --- | -... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9895/events | https://github.com/pandas-dev/pandas/issues/9895 | 68,390,904 | MDU6SXNzdWU2ODM5MDkwNA== | 9,895 | API: add testing functions to public API ? | {
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Numpy ... | {
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This, current:
vs with indention
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"followers_url": "https://api.github.com/users/jr... | 17 | 2015-04-14T16:00:36Z | 2015-05-14T16:17:09Z | 2015-05-08T07:45:25Z | MEMBER | null | Closes #9301. Though further table size adjustment / plotter module refactoring is required, I'd like to ask any feedbacks for current output.
I've prepared table plotter under utils.doctools, but is there anywhere more appropriate?
cc @JanSchulz
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https://api.github.com/repos/pandas-dev/pandas/issues/9900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9900/events | https://github.com/pandas-dev/pandas/issues/9900 | 68,430,104 | MDU6SXNzdWU2ODQzMDEwNA== | 9,900 | Broken URL to Google Finance in tests | {
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```
ERROR: test_read_google (pandas.io.tests.test_data.TestDataReader)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/chrish/Code/pandas/pandas/util/testing.py", line 1461, i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9901/events | https://github.com/pandas-dev/pandas/pull/9901 | 68,467,827 | MDExOlB1bGxSZXF1ZXN0MzMyODc4ODA= | 9,901 | Index repr changes to make them consistent | {
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closes #6482
closes #6295
replaces #9897
Previous Behavior
```
In [1]: pd.get_option('max_seq_items')
Out[1]: 100
In [2]: pd.Index(range(4),name='foo')
Out[2]: Int64Index([0, 1, 2, 3], dtype='int64')
In [3]: pd.Index(range(104),name='foo')
Out[3]: Int64Index(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9902/events | https://github.com/pandas-dev/pandas/pull/9902 | 68,483,894 | MDExOlB1bGxSZXF1ZXN0MzMyOTQ1NTE= | 9,902 | str'ified column names in DataFrame.to_hdf(); Fixes #9057 | {
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Converted column names to strings before creating pytables metadata object
This brute force `str()`ing method _might_ not be the best approach, but AFAIK it hasn't broken any of the tests.
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