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https://api.github.com/repos/pandas-dev/pandas/issues/8301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8301/events | https://github.com/pandas-dev/pandas/pull/8301 | 43,059,718 | MDExOlB1bGxSZXF1ZXN0MjEzOTQ1Njg= | 8,301 | VIS: default LinePlot rotation of 0 | {
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"followers_url": "https://api.github.com/users/jr... | 10 | 2014-09-17T20:41:41Z | 2014-09-19T17:04:47Z | 2014-09-19T17:04:46Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas/issues/8150
``` python
In [1]: s = pd.Series([1,2,3])
In [2]: s.plot()
Out[2]: <matplotlib.axes._subplots.AxesSubplot at 0x10da02d68>
```
No release notes since this is ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8302/events | https://github.com/pandas-dev/pandas/issues/8302 | 43,063,664 | MDU6SXNzdWU0MzA2MzY2NA== | 8,302 | API: add level kwarg for Series.any/.all | {
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"followers_url": "https://api.github.com/users/jr... | 7 | 2014-09-17T21:23:14Z | 2014-11-11T14:32:45Z | 2014-11-11T14:32:45Z | CONTRIBUTOR | null | It appears that Series' `s.any` and `s.all` methods miss level kwargs, unlike their statistical counterparts like `s.sum`:
``` python
In [4]: s = pd.Series([0,1,2], index=[0,0,1])
In [5]: s.sum(level=0)
Out[5]:
0 1
1 2
dtype: int64
In [6]: s.prod(level=0)
Out[6]:
0 0
1 2
dtype: int64
In [7]: s.any(lev... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8303/events | https://github.com/pandas-dev/pandas/issues/8303 | 43,066,099 | MDU6SXNzdWU0MzA2NjA5OQ== | 8,303 | subset keyword argument will include last column if incorrect keys are given | {
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"description": "np.nan, pd.NaT, pd.NA, d... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 13 | 2014-09-17T21:47:42Z | 2014-09-26T14:35:18Z | 2014-09-26T14:35:18Z | NONE | null | If you give a non-existent key to the subset argument it will default to the last column. For example:
```
In [3]: d = pd.DataFrame({'a':[1],'b':[2],'c':[np.nan]})
In [4]: len(d.dropna(subset=['x']))
Out[4]: 0
```
It seems the problem is in the line where dropna takes the subset:
```
agg_obj = self.take(ax.get_index... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8304/events | https://github.com/pandas-dev/pandas/issues/8304 | 43,068,795 | MDU6SXNzdWU0MzA2ODc5NQ== | 8,304 | to_clipboard() locks clipboard system-wide on exception | {
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] | closed | false | null | [] | null | 2 | 2014-09-17T22:19:13Z | 2015-10-20T22:41:57Z | 2015-10-20T22:41:57Z | CONTRIBUTOR | null | Exception in the following code locks clipboard system-wide until I exit my interactive Python session:
``` python
import pandas as pd
df = pd.DataFrame.from_dict({1: u' \u2014'}, 'index')
df.to_clipboard()
---------------------------------------------------------------------------
UnicodeEncodeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8305/events | https://github.com/pandas-dev/pandas/issues/8305 | 43,070,858 | MDU6SXNzdWU0MzA3MDg1OA== | 8,305 | to_clipboard(excel=False) truncates strings to 50 characters | {
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"followers_url": "https://api.github.com/users/jr... | 9 | 2014-09-17T22:41:20Z | 2014-09-23T14:40:59Z | 2014-09-23T14:40:59Z | CONTRIBUTOR | null | I hope this is not intended as I can't find the point in this behavior:
``` python
import pandas as pd
df = pd.DataFrame.from_dict({1: ''.join(['1234567890'] * 6)}, 'index')
df.to_clipboard(excel=False)
```
result copied to clipboard:
```
0
1 1234567890123456789012... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8306/events | https://github.com/pandas-dev/pandas/issues/8306 | 43,122,904 | MDU6SXNzdWU0MzEyMjkwNA== | 8,306 | ERR: raise in tz incompat with DatetimeIndex ops | {
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```
idx = pd.date_range(..., tz='UTC')
idx2 = idx.reindex(pd.date_range(..., tz='US/Pacific')
```
- [ ] subtraction of datetime like
- [ ] intersection / union / difference
- [ ] reindex
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https://api.github.com/repos/pandas-dev/pandas/issues/8307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8307/events | https://github.com/pandas-dev/pandas/pull/8307 | 43,131,041 | MDExOlB1bGxSZXF1ZXN0MjE0MzIwODI= | 8,307 | VIS: Hide labels for NaN/zeros in boxplt [WIP] | {
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The idea is to hide the labels around the pie plot so they don't overlap w/ nonzero labels. The NaN/zero labels should still be visible in the legend to indicate that there's missing data. There's a picture of the problem in the linked issue.
NaNs in the top row of... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-09-18T14:28:07Z | 2014-10-04T15:19:50Z | 2014-10-04T15:19:50Z | CONTRIBUTOR | null | They look funny because the aspect ratio is off: http://pandas-docs.github.io/pandas-docs-travis/visualization.html#pie-plot
May also want to note that in the text also.
This would be great for a first pull request if anyone is interested. Just need to set the figsize to something like (8, 8) for each plot (or (16, 8... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8309/events | https://github.com/pandas-dev/pandas/issues/8309 | 43,145,877 | MDU6SXNzdWU0MzE0NTg3Nw== | 8,309 | pandas.cut crashes on all zero input | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2014-09-18T15:29:30Z | 2018-07-06T22:14:58Z | 2018-07-06T22:14:17Z | NONE | null | xref #7751
``` python
import pandas as pd
pd.cut([0,0,0,0], 10)
```
result:
```
ValueError: Bin edges must be unique: array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
```
On the other hand, pandas.cut works on non-unique inputs other than zero. The culprit are the following [lines of code in tile.py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8310/events | https://github.com/pandas-dev/pandas/issues/8310 | 43,159,904 | MDU6SXNzdWU0MzE1OTkwNA== | 8,310 | IndexError when indexing into numpy array using a Series | {
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"color": "AD... | closed | false | null | [] | null | 1 | 2014-09-18T17:47:54Z | 2014-09-18T17:53:18Z | 2014-09-18T17:52:48Z | NONE | null | I'm getting a weird error in 0.14.1 that i didn't have in 0.10.1
``` python
>>> import numpy as np
>>> import pandas
>>> np.__version__
Out[8]: '1.8.2'
>>> pandas.__version__
Out[9]: '0.14.1'
>>> a = np.arange(10)
>>> b = pandas.Series([1,2,3])
>>> a[b]
Traceback (most recent call last):
File "C:\Python27\lib\site-p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8311/events | https://github.com/pandas-dev/pandas/issues/8311 | 43,167,050 | MDU6SXNzdWU0MzE2NzA1MA== | 8,311 | Series constructor doesn't handle object implementing numpy array interface | {
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"color": "AD7... | closed | false | null | [] | null | 7 | 2014-09-18T19:02:22Z | 2015-10-20T23:12:24Z | 2015-10-20T23:12:24Z | CONTRIBUTOR | null | ``` python
In [1]: import pandas as pd
In [2]: import rpy2
In [7]: import numpy as np
In [4]: arr = rpy2.robjects.IntVector(range(10))
In [5]: arr
Out[5]:
<IntVector - Python:0x102ed3908 / R:0x105a7c178>
[ 0, 1, 2, ..., 7, 8, 9]
In [6]: pd.Series(arr) # wrong behavior
Out[6]:
0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8312/events | https://github.com/pandas-dev/pandas/issues/8312 | 43,167,854 | MDU6SXNzdWU0MzE2Nzg1NA== | 8,312 | VIS/DOC: clean-up plots in the docs | {
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"closed_at": "2014-10-23T11:43:09Z",
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Some different things:
- [x] Too dense minor gridlines (solved by using mpl 1.4):
- Eg the first plot on the page: http://pandas-docs.github.io/pandas-docs-travis/visualization.html#basic-plotting-plot
- It b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8313/events | https://github.com/pandas-dev/pandas/issues/8313 | 43,170,353 | MDU6SXNzdWU0MzE3MDM1Mw== | 8,313 | API: rolling_* functions should have default window arg of None | {
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... | 10 | 2014-09-18T19:38:59Z | 2016-11-13T17:51:05Z | 2016-11-13T17:51:05Z | CONTRIBUTOR | null | I could be missing an easier way, but a lot of times I want to apply a rolling function to something like a groupby. This isn't the easiest thing in the world since the rolling functions take 2 arguments and `groupby.apply` is expecting a function with one argument. Maybe there's some way with passing in `args` to `gro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8314/events | https://github.com/pandas-dev/pandas/pull/8314 | 43,187,961 | MDExOlB1bGxSZXF1ZXN0MjE0Njg2ODg= | 8,314 | Allow preservation of object dtype when convert_numeric=True | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8315/events | https://github.com/pandas-dev/pandas/issues/8315 | 43,192,122 | MDU6SXNzdWU0MzE5MjEyMg== | 8,315 | Can't run in optimized mode on Ubuntu | {
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"closed_at": "2015-03-23T10:50:37Z",
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-09-19T00:03:36Z | 2014-12-04T08:27:53Z | 2014-12-04T08:27:53Z | NONE | null | If I start python with a -O flag, I get an error as soon as I import pandas
``` python
python -O
Python 2.7.6 (default, Mar 22 2014, 22:59:56)
[GCC 4.8.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
Traceback (most recent call last):
File "<stdin>", line ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8316/events | https://github.com/pandas-dev/pandas/pull/8316 | 43,192,616 | MDExOlB1bGxSZXF1ZXN0MjE0NzEzMTY= | 8,316 | BUG: Exception raised when `to_sql` used to insert empty dataframe | {
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```
...
File "/Users/artemy/dev/pandas/pandas/io/sql.py", line 1220, in to_sql
table.insert(chunksize)
File "/Users/artemy/dev/pandas/pandas/io/sql.py", line 659, in insert
chunks = int(nrows / chunksize) + ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8317/events | https://github.com/pandas-dev/pandas/issues/8317 | 43,198,807 | MDU6SXNzdWU0MzE5ODgwNw== | 8,317 | CLN: Generalized PEP8 Enforcement | {
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... | 2 | 2014-09-19T02:33:28Z | 2015-12-30T15:19:43Z | 2015-12-30T15:19:43Z | CONTRIBUTOR | null | Per @jorisvandenbossche (https://github.com/pydata/pandas/pull/8286#issuecomment-56043336), we need to discuss a generalized way of enforcing PEP8 on the entire pandas code base.
Matplotlib has something similar here: https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/tests/test_coding_standards.py, a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8318 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8318/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8318/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8318/events | https://github.com/pandas-dev/pandas/issues/8318 | 43,203,098 | MDU6SXNzdWU0MzIwMzA5OA== | 8,318 | Indexing issue for dataframes with duplicate indexes | {
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] | closed | false | null | [] | null | 2 | 2014-09-19T04:23:34Z | 2014-09-19T16:44:58Z | 2014-09-19T12:01:11Z | CONTRIBUTOR | null | Consider:
df1 = DataFrame(np.arange(9.).reshape((3, 3)), columns=list('bcd'),
index=['a', 'a', 'c'])
Then,
df1.loc[['a','c'],['b','c']] results in a key error
while,
df1.loc[['a','c'],:].loc[:,['b','c']] produces the intended result.
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https://api.github.com/repos/pandas-dev/pandas/issues/8319 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8319/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8319/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8319/events | https://github.com/pandas-dev/pandas/issues/8319 | 43,243,022 | MDU6SXNzdWU0MzI0MzAyMg== | 8,319 | ENH: add option to HDFStore.put/append to optionally store the index of the object (default for back compat is True) | {
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store.append(df,'df',write_index=True)
```
makes sense (`index` is already taken as its passed thru to determine whether to create an actual on in the table)
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https://api.github.com/repos/pandas-dev/pandas/issues/8323 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8323/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8323/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8323/events | https://github.com/pandas-dev/pandas/issues/8323 | 43,273,434 | MDU6SXNzdWU0MzI3MzQzNA== | 8,323 | Bloomberg Hackathon | {
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https://github.com/pydata/pandas/wiki
Dev Docs
http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html
Docs:
- Doc Strings examples/links: https://github.com/pydata/pandas/issues/3439, https://github.com/pydata/pandas/issues/2916, https://github.com/pydata/pandas/issues/3324
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xref #8044
```
C:\Users\Jeff Reback\Documents\GitHub\pandas>c:\Python26-64\Scripts\nosetests.exe build\lib.win-amd64-2.6\pandas\io\tests\test_parsers.py --pdb --pdb-failure
RuntimeError: module compiled against API version 9 but this version of numpy is 7
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https://api.github.com/repos/pandas-dev/pandas/issues/8325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8325/events | https://github.com/pandas-dev/pandas/issues/8325 | 43,282,578 | MDU6SXNzdWU0MzI4MjU3OA== | 8,325 | to_gbq: Allow creation of new tables from DataFrame (and generate schema) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8326/events | https://github.com/pandas-dev/pandas/pull/8326 | 43,284,549 | MDExOlB1bGxSZXF1ZXN0MjE1MjQ5Mjg= | 8,326 | ENH: Numerically stable Cython functions `roll_cov` and `roll_corr` | {
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> WARNING:root:This function, oauth2client.tools.run(), and the use of the gflags library are deprecated and will be removed in a future version of the library.
I'm not sure how quickly this deprecation will happen or if there are alternatives to ke... | {
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@jreback I made the simple patch as you suggested for fixing truncated columns, although problem seems to be https://github.com/pydata/pandas/blob/master/pandas/core/format.py#L2118 called from https://github.com/pydata/pandas/blob/master/pandas/core/format.py#L411
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https://api.github.com/repos/pandas-dev/pandas/issues/8329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8329/events | https://github.com/pandas-dev/pandas/issues/8329 | 43,304,019 | MDU6SXNzdWU0MzMwNDAxOQ== | 8,329 | CLN: start using numpy-1.7 API | {
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"f... | 22 | 2014-09-20T07:40:02Z | 2018-07-13T02:44:29Z | 2018-07-13T00:36:14Z | CONTRIBUTOR | null | Now that numpy-1.6 support is dropped we could proceed to use np-1.7 API.
This involves fixing a macro or two deep down in pandas internals, but otherwise should be pretty straightforward. As a bonus we can get rid of these annoying build warnings:
```
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8330/events | https://github.com/pandas-dev/pandas/pull/8330 | 43,312,458 | MDExOlB1bGxSZXF1ZXN0MjE1MzgzMzY= | 8,330 | ENH: add chunksize argument to read_sql (GH2908) | {
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Should probably add this also to `read_sql_table`. And try to reduce some repetitions (`_wrap_result` can maybe be a top-level (in the file) helper function).
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https://api.github.com/repos/pandas-dev/pandas/issues/8331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8331/events | https://github.com/pandas-dev/pandas/pull/8331 | 43,313,208 | MDExOlB1bGxSZXF1ZXN0MjE1Mzg2Njg= | 8,331 | PERF: add copy=True argument to pd.concat to enable pass-thru concats with complete blocks (GH8252) | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2014-09-20T20:12:05Z | 2020-02-11T23:11:38Z | 2018-07-06T22:10:45Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/25952790/convert-pandas-series-from-dtype-object-to-float-and-errors-to-nans/25952844#25952844
maybe remove`raise_on_error` and rename to `coerce` (more inline with the rest of pandas API)
```
In [30]: pd.Series([1,2,3,4,'.']).convert_objects(convert_numeric=True)
Out[30]:
0 1
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```
split dict like {index -> [index], columns -> [columns], data -> [values]}
records list like [{column -> value}, ... , {column -> value}]
index dict like {index -> {column -> value}}
columns dict like {column -> {index -> value}}
values just the... | {
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The way I've typically done it is by making a new dataframe, concatenating the many dataframes after renaming their columns to identify to which dataframe they originally belonged, dropping all NA from the concatenated dataframe, and then splitting up this dataframe and a... | {
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@jreback
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-09-20T22:12:29Z | 2017-04-16T08:39:48Z | 2017-04-16T08:39:40Z | CONTRIBUTOR | null | I introduced/uncovered a bug here with #8219.
If you pass in DataFrame with MI index and col names it doesn't output correctly (and never did). Should be able to fix pretty easily, since it's my fault am assigning myself!
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... | 5 | 2014-09-21T01:46:08Z | 2015-05-09T16:07:26Z | 2015-05-09T16:07:26Z | CONTRIBUTOR | null | closes #8295
- [x] Extract `append` method in `frame.py` into `generic.py`
- I left the original code just commented.
- [x] Extract test cases in `test_frame.py` into `test_generic.py`
- [x] Extract test cases in `test_series.py` into `test_generic.py`
- [x] Specific test case for testing `axis=1` in `test_generic.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8338 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8338/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8338/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8338/events | https://github.com/pandas-dev/pandas/issues/8338 | 43,336,764 | MDU6SXNzdWU0MzMzNjc2NA== | 8,338 | interpolate() crashes with limit argument | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-09-21T14:47:59Z | 2014-09-21T16:10:43Z | 2014-09-21T16:10:43Z | NONE | null | Hi,
Pandas' `interpolate()` method crashes if the `limit` parameter is passed and the underlying data frame or series does not contain NaN values, i.e., if there is nothing to interpolate. I think this is a bug.
The following code was tested with Pandas 0.14.1 (NumPy 1.9.0):
```
import pandas as pd
import numpy as np... | {
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] | closed | false | null | [] | null | 5 | 2014-09-21T15:40:14Z | 2014-09-21T20:43:59Z | 2014-09-21T16:09:55Z | NONE | null | I have run across some really weird situation where I get segmentation fault only when multiple threads access the same code simultaneously (problems with re-entrancy?). Also this only occurs with certain datasets and I couldn't reproduce it with toydata.
The data.p file required can be downloaded from here:
https://c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8340 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8340/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8340/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8340/events | https://github.com/pandas-dev/pandas/pull/8340 | 43,338,330 | MDExOlB1bGxSZXF1ZXN0MjE1NDk1MjE= | 8,340 | CLN: pep8 clean up of sql.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8341 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8341/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8341/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8341/events | https://github.com/pandas-dev/pandas/issues/8341 | 43,342,817 | MDU6SXNzdWU0MzM0MjgxNw== | 8,341 | BUG: to_sql fails with datetime.time values with sqlite fallback mode | {
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"followers_url": "https://api.github.com/users/jr... | 8 | 2014-09-21T19:14:23Z | 2016-02-24T12:55:26Z | 2016-02-24T12:55:26Z | MEMBER | null | Columns of `datetime.time` were not yet supported in sqlite fallback mode (as noted in #7567, and do work for sqlalchemy), but it now seems to fail silently with master (instead of raising an error).
Using:
```
import sqlite3
con = sqlite3.connect(':memory:')
dt = pd.date_range('2014-01-01', periods=10, freq='10h')
d... | {
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"followers_url": "https://api.github.com/users/jr... | 31 | 2014-09-21T19:33:47Z | 2015-09-21T15:35:47Z | 2015-09-21T15:35:47Z | CONTRIBUTOR | null | Builds are failing on Travis due to some issue with Excel (weirdly passed on merge but then started failing a few commits later). Currently investigating. C.f. https://travis-ci.org/pydata/pandas/jobs/35873580
@neirbowj - any idea why these tests stopped passing?
It's all some variation on the following:
```
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2014-09-21T19:41:06Z | 2018-07-06T22:08:27Z | 2018-07-06T22:08:15Z | CONTRIBUTOR | null | Now that `Timedelta` is a full fledged type. It is quite trivial to convert a `datetime.time` to a `Timedelta`.
pros:
- highly performant
- very similar output
- no need to create a `TimeBlock`
cons:
- no longer a `datetime.time` instance (instead its a sub-class of `datetime.timedelta`)
- doesn't support `tz`(anyone... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2014-09-21T20:35:22Z | 2018-07-06T20:21:05Z | 2017-07-11T09:56:32Z | CONTRIBUTOR | null | Let's take the following example:
``` python
d = {'Item1' : pandas.DataFrame(numpy.random.randn(4, 3)),
'Item2' : pandas.DataFrame(numpy.random.randn(4, 2))}
p = pandas.Panel(d)
p.clip(0,1)
```
If I run the script with pandas 0.14.1 on both python 2.7.8 and 3.4.1 I'm getting the following error:
```
Traceback ... | {
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```
In [4]: pd.set_option('max_rows',10)
In [5]: df = DataFrame({'A' : np.arange(1480)},index=pd.to_timedelta(np.arange(1480),unit='T'))
In [6]: df
Out[6]:
A
0 days 00:00:00 0
0 days 00:01:00 1
0 days 00:02:00 2
0 days 00:03:00 3
0 days 00:04:00 4
... ... | {
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Let's try for end of 1st week of oct for RC, and end of 2nd week for final.
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-09-21T23:17:17Z | 2014-10-01T09:27:36Z | 2014-09-23T14:32:45Z | CONTRIBUTOR | null | I created this wiki page: https://github.com/pydata/pandas/wiki/Specialities
feel free to add/update/change if you think you should (or not) be tagged in a particular category.
This is really for the core-devs reference as to know whom to cc when an issue comes up.
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Test code:
<code>df=pandas.DataFrame([
{'JOB':'Worker','NAME':'Bob' ,'YEAR':2013,'MONTH':12,'DAYS': 3,'SALARY': 17},
{'JOB':'Employ','NAME':'Mary','YEAR':2013,'MONTH':12,'DAYS': 5,'SALARY': 23},
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https://api.github.com/repos/pandas-dev/pandas/issues/8350 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8350/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8350/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8350/events | https://github.com/pandas-dev/pandas/issues/8350 | 43,427,084 | MDU6SXNzdWU0MzQyNzA4NA== | 8,350 | Why does pandas work around numpy limitations with custom dtypes instead of fixing them upstream? | {
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I recently posted on the numpy discussion mailing to try to get a sense of what solutions exist for writing custom dtypes without writing C. Unfortunately, it appears there's not much hope!
http://mail.scipy.org/pip... | {
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@TomAugspurger
@jorisvandenbossche
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Just moved it and changed a few heading levels. I could add a note about considering seaborn. I've never used rplot.
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bug on pandas 0.14.1 pivot_table using dictionary aggfunc and margins.
Test code:
<pre>
<code>
df=pandas.DataFrame([
{'JOB':'Worker','NAME':'Bob' ,'YEAR':2013,'MONTH':12,'DAYS': 3,'SALARY': 17},
{'JOB':'Employ','NAME':'Mary','YEAR':2013,'MONTH':12,'DAYS': 5,'SALARY': 23},
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https://api.github.com/repos/pandas-dev/pandas/issues/8356 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8356/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8356/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8356/events | https://github.com/pandas-dev/pandas/pull/8356 | 43,506,927 | MDExOlB1bGxSZXF1ZXN0MjE1ODkwNjc= | 8,356 | BUG: Work-around openpyxl-2.1.0 NumberFormat removal | {
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compat for openpyxl: 2.0.0 thru 2.1.0, but a bit hacky
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https://api.github.com/repos/pandas-dev/pandas/issues/8358 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8358/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8358/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8358/events | https://github.com/pandas-dev/pandas/issues/8358 | 43,510,528 | MDU6SXNzdWU0MzUxMDUyOA== | 8,358 | API/BUG: Indexing a DatetimeIndex by Period | {
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```
Python 3.4.1 (v3.4.1:c0e311e010fc, May 18 2014, 10:45:13) [MSC v.1600 64 bit (AMD64)]
Type "copyright", "credits" or "license" for more information.
IPython 2.2.0 -- An enhanc... | {
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not necessary and clutters the code ATM.
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https://api.github.com/repos/pandas-dev/pandas/issues/8360 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8360/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8360/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8360/events | https://github.com/pandas-dev/pandas/pull/8360 | 43,535,811 | MDExOlB1bGxSZXF1ZXN0MjE2MDExMDU= | 8,360 | BUG: OLS with clustering and nw_lags does not error | {
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Newey-West adjustments. Closes #5884. This is a re-attempt at
GH8170.
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``` python
left = pd.Index(['A','B','A','C'])
right = pd.Index(['B','D'])
left.intersection(right)
```
returns
``` python
Index(['B', 'C'], dtype='object')
```
However, I would expect this to return
``` python
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```
In [3]: df = DataFrame({'A' : np.arange(5), 'B' : np.arange(1,6)},index=[2,2,3,3,4])
In [4]: df.B-df.A
Out[4]:
2 1
2 1
3 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8365 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8365/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8365/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8365/events | https://github.com/pandas-dev/pandas/issues/8365 | 43,568,197 | MDU6SXNzdWU0MzU2ODE5Nw== | 8,365 | Series/DataFrame.rank() doesn't handle certain floats properly | {
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"closed_at": "2015-03-23T10:50:37Z",
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### Current Behavior
```
>>> series = pd.Series([1000.000669 , 1000.000041 , 1000.000059 , 1000.000063 , 1000.000121 , 1000.000104 , 1000.000040 , 1000.000062 , 1000.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8366 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8366/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8366/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8366/events | https://github.com/pandas-dev/pandas/pull/8366 | 43,580,711 | MDExOlB1bGxSZXF1ZXN0MjE2MjEyNTE= | 8,366 | DataFrame.dropna bug fix | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-09-23T01:44:39Z | 2014-09-25T00:38:15Z | 2014-09-25T00:05:35Z | CONTRIBUTOR | null | Bug fix for #8303. Now raise KeyError if any non-existent columns are passed in the subset argument.
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>>> c.head(3)
end_time
location_id sensor_id view_id start_time
54 1000305 0 2014-07-21 07:00:00+00:00 2014-07-21 07:15:00+00:00
2014-07-21 07:15:00+00:00 2014-07-21 07:30:00+00:00
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] | closed | false | null | [] | null | 2 | 2014-09-23T07:56:45Z | 2014-09-23T11:39:58Z | 2014-09-23T11:39:50Z | NONE | null | ``` python
>> f
<class 'pandas.tseries.index.DatetimeIndex'>
[2014-07-25 07:00:37+00:00, ..., 2014-07-26 07:50:17+00:00]
Length: 53304, Freq: None, Timezone: UTC
>> f.to_series()
datetime
2014-07-25 07:00:37+00:00 2014-07-25 07:00:37
2014-07-25 07:11:36+00:00 2014-07-25 07:11:36
2014-07-25 08:01:48+00:00 2014-07-... | {
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```
x y
```
0 A 0
1 B 0
2 C 0
In [99]:df.set_value(index=df.x.str.startswith('A'),col='y',value='1')
---
TypeError Traceback (most recent call last)
<ipython-input-99-08195440f2b8> in <module>()
----> 1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8370 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8370/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8370/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8370/events | https://github.com/pandas-dev/pandas/pull/8370 | 43,634,526 | MDExOlB1bGxSZXF1ZXN0MjE2NDgyODY= | 8,370 | BUG/COMPAT: set tz on DatetimeIndex on pickle reconstruction (GH8367) | {
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I've found this issue when I tried to resample at different frequencies. When the frequency is a prime number, the first timestamp is not rounded and it takes the first timestamp in the file. Do I need an extra parameter to round timestamps?
``` python
csv = r"""Date,Time,Ask,Bid,AskVolume,BidVolume
11-08-2014,00... | {
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```
In [1]: data = """date,time,value
...: 11-08-2014,00:00:01.093,1
...: 11-08-2014,00:00:02.159,1
...: 11-08-2014,00:00:02.667,1
...: 11-08-2014,00:00:03.175,1
...: 11-08-2014,00:00:07.058,1
...: 11-08-2014,00:00:07.362,1
...: 11-08-2014,00:00:08.324,1
...: 11-08-2014,00:... | {
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Added simple check for file path existence. It might be more advisable to deprecate this function and separate file buffer and file path read functionality, but the current form matches the rest of the API.
I wasn't sure if there was any tests I needed to add, but if there is, let me know.
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https://api.github.com/repos/pandas-dev/pandas/issues/8374 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8374/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8374/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8374/events | https://github.com/pandas-dev/pandas/pull/8374 | 43,669,400 | MDExOlB1bGxSZXF1ZXN0MjE2NjgwODI= | 8,374 | BUG: Intersection buggy for non-monotonic non-unique indices (GH8362) | {
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closes #8362
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"followers_url": "https://api.github.com/users/jorisva... | 12 | 2014-09-23T21:44:14Z | 2018-07-06T22:06:48Z | 2018-07-06T22:06:37Z | CONTRIBUTOR | null | - [ ] check that plot does the right thing, i.e. ordering of the categories
- [ ] Make a utils.testing.makeCategorical() `Series(np.array(list('abcdefghij')).take(np.random.randint(0,10,size=len(df)))).astype('category')` + NaN + type + size + unique kword?
- [ ] check for `self.values.xxx` in `Series` and check that... | {
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"followers_url": "https://api.github.com/users/jr... | 6 | 2014-09-23T21:54:53Z | 2016-07-15T10:30:26Z | 2016-07-15T10:28:35Z | CONTRIBUTOR | null | `levels` was renamed to `categories`. Take out the deprecated property, the proerty in the Series.cat accessor, and the attribute in the constructor
Look for `TODO: Remove after deprecation period in 2017/ after 0.18` and `TODO: remove levels after the deprecation period`.
Should be added to #6581
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`df2.fillna(df1)` should be implemented by:
`df2.where(df2.notnull(),df2,df1)`
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https://api.github.com/repos/pandas-dev/pandas/issues/8379 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8379/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8379/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8379/events | https://github.com/pandas-dev/pandas/pull/8379 | 43,705,143 | MDExOlB1bGxSZXF1ZXN0MjE2ODc2Nzc= | 8,379 | BUG: floats cannot be ranked with tolerance | {
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using tolerance in ranking floats can result in inconsistent behavior; currently on master:
```
>>> pd.Series([1001, 1001.0002]).rank()
0 1
1 2
dtype: float64
>>> pd.Series([1001, 1001.0001, 1001.0002]).rank()
0 2
1 2
2 2
dtype: float64
```
so, in ef... | {
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``` python
df = read_csv(inputfile,header=746,nrows=374,index_col=False)
```
I then get an error
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``` python
df=pd.DataFrame([['foo','foo','bar','bar','bar','oats'],[1.0,2.0,3.0,4.0,4.0,5.0],[2.0,3.0,4.0,5.0,1.0,5.0]]).T
df.columns=['mycat','var1','var2']
df.var1=df.var1.astype('int64')
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"name": "Testing",
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"followers_url": "https://api.github.com/users/jr... | 11 | 2014-09-24T19:54:04Z | 2014-09-27T13:08:26Z | 2014-09-27T13:08:26Z | CONTRIBUTOR | null | These passed on numpy 1.8/matplotlib 1.3.1 on 34-64 windows
just updated and now failing
```
======================================================================
ERROR: test_boxplot_empty_column (pandas.tests.test_graphics.TestDataFramePlots)
----------------------------------------------------------------------
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https://api.github.com/repos/pandas-dev/pandas/issues/8383 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8383/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8383/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8383/events | https://github.com/pandas-dev/pandas/issues/8383 | 43,808,377 | MDU6SXNzdWU0MzgwODM3Nw== | 8,383 | nanmin no longer works with series | {
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"default": false,
"description": "p... | closed | false | null | [] | {
"closed_at": "2018-05-16T03:09:58Z",
"closed_issues": 1645,
"created_at": "2017-10-20T10:17:09Z",
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```
np.nanmin(pds.Series([1,2,3,4]))
Out[14]:
0 1
1 1
2 1
3 1
dtype: int64
np.min(pds.Ser... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8384 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8384/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8384/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8384/events | https://github.com/pandas-dev/pandas/pull/8384 | 43,830,566 | MDExOlB1bGxSZXF1ZXN0MjE3NTQ3Njc= | 8,384 | non-existent columns in DataFrame.dropna subset argument now raises KeyError | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-09-25T00:31:10Z | 2014-09-26T14:35:25Z | 2014-09-26T14:35:18Z | CONTRIBUTOR | null | closes #8303.
Now instead of interpreting a bad column name as the 'last column' of the `DataFrame`, `dropna` will raise a `KeyError` instead. unit test and release note now included.
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https://api.github.com/repos/pandas-dev/pandas/issues/8385 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8385/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8385/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8385/events | https://github.com/pandas-dev/pandas/pull/8385 | 43,889,436 | MDExOlB1bGxSZXF1ZXN0MjE3Njg2NjQ= | 8,385 | ENH: add the parameter dropna to the function to_dict. | {
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"followers_url": "https://api.github.com/users/jorisva... | 10 | 2014-09-25T08:49:11Z | 2015-05-14T15:47:33Z | 2015-05-09T16:09:38Z | NONE | null | this is usefull because you cant reach the same effect by just using
dropna().to_dict() also see
http://stackoverflow.com/questions/26033301/make-pandas-dataframe-to-a-dict-and-dropna/26033302#26033302
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https://api.github.com/repos/pandas-dev/pandas/issues/8386 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8386/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8386/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8386/events | https://github.com/pandas-dev/pandas/issues/8386 | 43,904,193 | MDU6SXNzdWU0MzkwNDE5Mw== | 8,386 | Not all DateOffsets are comparable | {
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"f... | 4 | 2014-09-25T10:45:54Z | 2020-03-10T05:19:05Z | 2020-03-10T05:19:05Z | NONE | null | ``` python
>>> from pandas.tseries.frequencies import to_offset as _to_offset
>>> _to_offset('D') < _to_offset('H')
False
>>> _to_offset('D') < _to_offset('W')
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8387 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8387/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8387/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8387/events | https://github.com/pandas-dev/pandas/issues/8387 | 43,906,154 | MDU6SXNzdWU0MzkwNjE1NA== | 8,387 | Pandas ignores index when assigning different dtypes. | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-09-25T11:06:51Z | 2014-09-29T15:19:49Z | 2014-09-29T15:19:49Z | NONE | null | Consider the following example:
``` python
import pandas
foo = pandas.Series( [ 0, 1, 2, 0 ] )
w = foo > 0
bar = foo[ w ].map( str )
print bar
foo[w] = bar
print foo
foo[w] = bar
print foo
```
gives the following output
```
1 1
2 2
dtype: object
0 0
1 NaN
2 1
3 0
dtype: object
0 0
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https://api.github.com/repos/pandas-dev/pandas/issues/8388 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8388/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8388/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8388/events | https://github.com/pandas-dev/pandas/pull/8388 | 43,920,874 | MDExOlB1bGxSZXF1ZXN0MjE3ODM1Nzk= | 8,388 | EHN: Allow DataFrame.fillna to accept a DataFrame as its fill value. | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-09-25T13:47:28Z | 2014-09-26T19:11:04Z | 2014-09-26T15:19:39Z | CONTRIBUTOR | null | Related: [SO](http://stackoverflow.com/q/26002564/190597)
Fixes #8377
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https://api.github.com/repos/pandas-dev/pandas/issues/8389 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8389/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8389/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8389/events | https://github.com/pandas-dev/pandas/issues/8389 | 43,937,491 | MDU6SXNzdWU0MzkzNzQ5MQ== | 8,389 | BUG: HDFStore doesn't support a Panel with MultiIndex when format='table' | {
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"followers_url": "https://api.github.com/users/jorisva... | 18 | 2014-09-25T16:16:15Z | 2018-07-06T20:21:05Z | 2017-07-11T09:56:19Z | CONTRIBUTOR | null | Looks like I can `append()` to an `HDFStore` object a `DataFrame` with a `MultiIndex`, but not a `Panel` with a `MultiIndex`. Similarly `put`ing the `Panel` with `format='fixed'` works, but with `format='table'` doesn't. So the problem appears to be with the table format.
```
Python 3.4.1 (v3.4.1:c0e311e010fc, May 18 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/8390 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8390/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8390/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8390/events | https://github.com/pandas-dev/pandas/issues/8390 | 43,941,625 | MDU6SXNzdWU0Mzk0MTYyNQ== | 8,390 | BUG/VIS: Pie Plot with subplots doesn't include NaNs in legend | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2014-09-25T16:54:34Z | 2018-07-06T22:04:19Z | 2018-07-06T22:04:10Z | CONTRIBUTOR | null | Followup to https://github.com/pydata/pandas/pull/8307
```
In [1]: df = pd.DataFrame(np.random.rand(4, 4))
In [2]: df2 = df.copy()
In [3]: for i in range(len(df)):
...: df.iloc[i, i] = np.nan
...:
In [4]: fig, axes = plt.subplots(figsize=(16, 8), nrows=2, ncols=4)
In [5]: df.plot(kind='pie', subplot... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-09-25T17:06:53Z | 2015-08-18T12:44:59Z | 2014-10-04T18:01:29Z | CONTRIBUTOR | null | First commit closes https://github.com/pydata/pandas/issues/8308
second closes https://github.com/pydata/pandas/issues/8312 aside from using mpl 1.4 to build the docs.
I can post any examples if you want.
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https://api.github.com/repos/pandas-dev/pandas/issues/8392 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8392/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8392/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8392/events | https://github.com/pandas-dev/pandas/issues/8392 | 43,948,865 | MDU6SXNzdWU0Mzk0ODg2NQ== | 8,392 | ENH/BUG/DOC: HDFStore.append() on axis other than DataFrame.index or Panel.major_axis | {
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Similarly for Panels, it appears to work ... | {
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... | 18 | 2014-09-26T05:26:38Z | 2015-10-26T22:40:03Z | 2015-07-12T14:58:11Z | CONTRIBUTOR | null | This fixes #8251. It may need some more comprehensive tests but before I go too much farther I want to make sure the axis numbering scheme makes sense . The default behavior of `fillna` is to fill along `axis=0`. In the case of a DataFrame this fills along the columns. However, in the case of a Panel, filling along `ax... | {
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i cannot add tests right now because `test_remove_categories` in `test_categorical.py` does not fail on my machine. it also passes on a number of travis builds, and fails only on a couple.
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.../Users/tom/Envs/py3/lib/python3.4/site-packages/pandas/pandas/tools/plotting.py:3229: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared
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"followers_url": "https://api.github.com/users/jr... | 6 | 2014-09-26T23:47:03Z | 2014-09-29T21:42:52Z | 2014-09-29T21:42:44Z | NONE | null | Numpy changed the names of their data types in 1.8
http://docs.scipy.org/doc/numpy-dev/user/basics.types.html
specifically, bool, int, float, and complex are now bool_, int_, float_ and complex_
this requires changing the VECTOR_TYPES and NA_TYPES dictionaries used by convert_to_r_dataframe in pandas/rpy/common.py
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