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https://api.github.com/repos/pandas-dev/pandas/issues/1401 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1401/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1401/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1401/events | https://github.com/pandas-dev/pandas/issues/1401 | 4,911,554 | MDU6SXNzdWU0OTExNTU0 | 1,401 | MultiIndex groupby bugs in 0.7.3, 0.8.0b1 and 0.8.0dev | {
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import pandas
l = [['count', 'values'], ['to filter', '']]
midx = pandas.MultiIndex.from_tuples(l)
df = pandas.DataFrame([[1L, 'A']], columns=midx) #one line
print(df.groupby('to filter').groups)
#Out: {'to filter': [0L]} #was expecting 'A': [0L]
print(df.groupby([('to filter', '')]).groups)
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https://api.github.com/repos/pandas-dev/pandas/issues/1403 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1403/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1403/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1403/events | https://github.com/pandas-dev/pandas/issues/1403 | 4,913,393 | MDU6SXNzdWU0OTEzMzkz | 1,403 | Split time zone localization out of tz_convert into tz_localize | {
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```
In [5]: cut(frame.data1, [-4, -2, 0, 2, 1])
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/home/wesm/code/pandas/<ipython-input-5-dcb858d11751> in <module>()
----> 1 cut(frame.data1, [-4, -2, 0, 2,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1412 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1412/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1412/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1412/events | https://github.com/pandas-dev/pandas/issues/1412 | 4,926,227 | MDU6SXNzdWU0OTI2MjI3 | 1,412 | isin method buggy on SparseSeries | {
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``` python
In [203]: pandas.__version__
Out[203]: '0.7.3'
In [204]: sparse_df = DataFrame({'flag': [1., 0., 1.]}).to_sparse(fill_value=0.)
In [205]: sparse_df[sparse_df.flag == 1.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1413 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1413/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1413/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1413/events | https://github.com/pandas-dev/pandas/issues/1413 | 4,927,755 | MDU6SXNzdWU0OTI3NzU1 | 1,413 | Installing dev version with pip is not supported | {
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The following did not work:
```
pip install -e git+git://github.com/pydata/pandas.git#egg=pandas
```
It also did not ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1414/events | https://github.com/pandas-dev/pandas/issues/1414 | 4,927,954 | MDU6SXNzdWU0OTI3OTU0 | 1,414 | Series apply() and map() may produce a Series with different dtype than the original | {
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``` python
In [84]: original = pandas.Series([1,2,3, np.nan], dtype="object")
In [85]: def convert(value):
return np.nan if pandas.isnull(value) else int(value)
....:
In [86]: original.apply(convert).dtype
Out[86]: dtype('float64')
```
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https://api.github.com/repos/pandas-dev/pandas/issues/1415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1415/events | https://github.com/pandas-dev/pandas/issues/1415 | 4,933,939 | MDU6SXNzdWU0OTMzOTM5 | 1,415 | Use index name as xlabel or ylabel in plot types | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1416/events | https://github.com/pandas-dev/pandas/issues/1416 | 4,934,715 | MDU6SXNzdWU0OTM0NzE1 | 1,416 | Add any / all methods for boolean DataFrame | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-06-06T21:21:54Z | 2012-06-07T16:26:26Z | 2012-06-07T15:40:13Z | CONTRIBUTOR | null | Now that I've added a `.travis.yml` in #1382, about 2 minutes of book-keeping is required to register pandas on Travis CI.
See http://about.travis-ci.org/docs/user/getting-started/
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In [67]: a = pandas.DataFrame(np.random.rand(3,3),
....: columns=list('ABC'),
....: index=pandas.Index(list('abc'), name='index_a'))
In [68]: b = pandas.DataFrame(np.random.rand(3,3),
....: columns=list('ABC'),
....: ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1420/events | https://github.com/pandas-dev/pandas/pull/1420 | 4,950,526 | MDExOlB1bGxSZXF1ZXN0MTUxMzIyNA== | 1,420 | DOC: Indicate that to_csv and from_csv methods can handle string file pa... | {
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It also seems a good idea to align the argument names: _path_, _path_or_buffer_, _filepath_or_buffer_ are all three used among `to_csv()`, `from_csv()`, `read_table()` to indicate the same. I did not touch those since that is an api change.
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https://api.github.com/repos/pandas-dev/pandas/issues/1421 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1421/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1421/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1421/events | https://github.com/pandas-dev/pandas/issues/1421 | 4,954,411 | MDU6SXNzdWU0OTU0NDEx | 1,421 | Missing rows on DataFrame outer join with MultiIndex | {
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I'm trying to compute an outer join on several columns applied to several DataFrame objects in one step. However, the result I get seems to force the uniqueness on the set of join columns and, as a consequence, some rows are missing.
Here is some example code that shows the output from a join operation over 3 dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1422 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1422/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1422/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1422/events | https://github.com/pandas-dev/pandas/issues/1422 | 4,960,055 | MDU6SXNzdWU0OTYwMDU1 | 1,422 | Joins between equal, but not same time zone DatetimeIndex yields non-UTC DatetimeIndex | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1423 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1423/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1423/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1423/events | https://github.com/pandas-dev/pandas/issues/1423 | 4,961,186 | MDU6SXNzdWU0OTYxMTg2 | 1,423 | select() within a function closure not working as agg function | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-06-07T22:50:52Z | 2012-06-11T21:03:10Z | 2012-06-11T18:54:21Z | CONTRIBUTOR | null | I'm running into a weird issue with groupby and function closure. For some reason the function closure doesn't work unless I access the grouped series. You can see in agg_before I have a fix flag that will just access the data var.
``` python
from pandas import * ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1424 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1424/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1424/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1424/events | https://github.com/pandas-dev/pandas/issues/1424 | 4,961,561 | MDU6SXNzdWU0OTYxNTYx | 1,424 | Limit argument not respected in `resample` | {
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In [5]: rng = date_range('1/1/2000', periods=3, freq='5t')
In [6]: ts = Series(np.random.randn(len(rng)), rng)
In [7]: ts.resample('t', fill_method='ffill', limit=2)
Out[7]:
2000-01-01 00:00:00 0.204905
2000-01-01 00:01:00 0.204905
2000-01-01 00:02:00 0.204905
2000-01-01 00:03:00 0.204905
2000-01-01 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1425 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1425/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1425/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1425/events | https://github.com/pandas-dev/pandas/pull/1425 | 4,961,669 | MDExOlB1bGxSZXF1ZXN0MTUxODcyNg== | 1,425 | Autocorrelation plot | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1426 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1426/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1426/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1426/events | https://github.com/pandas-dev/pandas/issues/1426 | 4,962,287 | MDU6SXNzdWU0OTYyMjg3 | 1,426 | Raise exception on joins between tz-naive DatetimeIndex and tz-aware ones | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1427 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1427/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1427/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1427/events | https://github.com/pandas-dev/pandas/issues/1427 | 4,963,295 | MDU6SXNzdWU0OTYzMjk1 | 1,427 | Setting xlim with strings in irregular time series plot | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1428 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1428/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1428/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1428/events | https://github.com/pandas-dev/pandas/pull/1428 | 4,963,908 | MDExOlB1bGxSZXF1ZXN0MTUxOTgwNg== | 1,428 | ENH: set_xlim using str for irregular index | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1429 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1429/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1429/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1429/events | https://github.com/pandas-dev/pandas/pull/1429 | 4,964,315 | MDExOlB1bGxSZXF1ZXN0MTUxOTk0MQ== | 1,429 | DataFrame.any/all | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1430 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1430/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1430/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1430/events | https://github.com/pandas-dev/pandas/issues/1430 | 4,971,064 | MDU6SXNzdWU0OTcxMDY0 | 1,430 | timeseries related .groups bug | {
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```
from pandas import *
import numpy as np
periods = 1000 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1431 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1431/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1431/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1431/events | https://github.com/pandas-dev/pandas/issues/1431 | 4,971,664 | MDU6SXNzdWU0OTcxNjY0 | 1,431 | Selecting columns via df[:, column_list] broken | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-06-08T14:29:04Z | 2012-06-08T14:43:02Z | 2012-06-08T14:40:33Z | NONE | null | happened with latest pandas.
```
from pandas import *
x = DataFrame([(0,1),(2,3)], columns = ['a','b'])
x[:,['a']]
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-4-2277db18002c> in <module>()
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1432 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1432/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1432/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1432/events | https://github.com/pandas-dev/pandas/issues/1432 | 4,972,825 | MDU6SXNzdWU0OTcyODI1 | 1,432 | DataFrame.ix assign fails for mixed dtypes | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-06-08T15:28:58Z | 2012-06-11T16:55:22Z | 2012-06-11T16:55:14Z | CONTRIBUTOR | null | from [mailing list](http://groups.google.com/group/pydata/browse_thread/thread/43c1bc3a314a9bb3#)
``` python
data = pandas.DataFrame.from_dict({1: [1.,2.,3.], 2: [3,4,5]})
print data.dtypes
data.ix[1] = [10., 20] # fails
```
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https://api.github.com/repos/pandas-dev/pandas/issues/1433 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1433/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1433/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1433/events | https://github.com/pandas-dev/pandas/issues/1433 | 4,972,912 | MDU6SXNzdWU0OTcyOTEy | 1,433 | Unexpected behaviour when converting datetime column to np.datetime64 | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-06-08T15:34:05Z | 2012-06-14T03:04:56Z | 2012-06-14T03:04:37Z | NONE | null | To me this behaviour appeared to be weird.
Numpy 1.7 and latest Pandas
```
from pandas import *
from datetime import datetime
x = DataFrame([datetime.now(), datetime.now()])
print x[0].dtype
print to_datetime(x[0]).dtype
x[0] = to_datetime(x[0])
print x[0].dtype, "shouldn't this be datetime64?"
x[1] = to_datetime(x[0]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1434 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1434/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1434/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1434/events | https://github.com/pandas-dev/pandas/issues/1434 | 4,976,160 | MDU6SXNzdWU0OTc2MTYw | 1,434 | On main website: url to vbench is wrong | {
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In "RELATED TOOLS" (right column, bottom), the link to vbench is https://github.com/wesm/vbench (404) while it should be https://github.com/pydata/vbench.
(Didn't found the github repository of the main website to send a pull request).
Have a nice day,
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https://api.github.com/repos/pandas-dev/pandas/issues/1435 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1435/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1435/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1435/events | https://github.com/pandas-dev/pandas/issues/1435 | 4,976,877 | MDU6SXNzdWU0OTc2ODc3 | 1,435 | Inconsistent results using custom function though resample & how | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-06-08T19:17:39Z | 2012-06-14T03:08:38Z | 2012-06-14T03:08:38Z | NONE | null | I have noticed some inconsistent results between using resample & how calling a defined function. It might be I have misunderstood how this is meant to function.
Here's some code to illustrate it:
```
import numpy as np
import pandas
from datetime import *
start = datetime(2010,6,1)
end = datetime(2012,1,1)
rng = ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1436/events | https://github.com/pandas-dev/pandas/issues/1436 | 4,977,665 | MDU6SXNzdWU0OTc3NjY1 | 1,436 | bug in DataFrame.plot() | {
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This is the sequence of commands, the external file that is read can be send to reproduce the exception.
import pandas
s1=pandas.read_table('DATA_serie1.TXT')
dr = pandas.date_range(start='2012-01-01', periods=1500, freq='30Min')
s1.index=dr
s1.plot()
This is the ex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1437 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1437/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1437/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1437/events | https://github.com/pandas-dev/pandas/issues/1437 | 4,980,238 | MDU6SXNzdWU0OTgwMjM4 | 1,437 | datetimeindex returns wrong datetimes with tolist() and values() | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-06-08T22:34:54Z | 2012-06-11T16:31:10Z | 2012-06-11T16:30:50Z | NONE | null | In [82]: dr = pandas.date_range(start='2012-01-01', periods=10, freq='30Min')
In [83]: dr
Out[83]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2012-01-01 00:00:00, ..., 2012-01-01 04:30:00]
Length: 10, Freq: 30T, Timezone: None
In [84]: dr.values
Out[84]:
array([1970-01-16 224:00:00, 1970-01-16 224:30:00, 1970-01... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1438 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1438/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1438/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1438/events | https://github.com/pandas-dev/pandas/issues/1438 | 4,981,307 | MDU6SXNzdWU0OTgxMzA3 | 1,438 | Check periods is number in DatetimeIndex/PeriodIndex constructor | {
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"followers_url": "https://api.github.com/users/wesm/... | 0 | 2012-06-09T00:18:52Z | 2012-06-09T00:29:51Z | 2012-06-09T00:29:51Z | CONTRIBUTOR | null | In case users forget 3rd argument is periods and not freq.
e.g., date_range('2011/1/1', '2012/1/1', 'B') raises MemoryError
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```
$ python
Python 2.6.6 (r266:84292, Dec 27 2010, 00:02:40)
[GCC 4.4.5] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> a = [1,2,3,4,5]
>>> a[-1]
5
>>> import numpy
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https://api.github.com/repos/pandas-dev/pandas/issues/1442 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1442/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1442/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1442/events | https://github.com/pandas-dev/pandas/issues/1442 | 4,988,730 | MDU6SXNzdWU0OTg4NzMw | 1,442 | Segmentation fault on reading a CSV file (Ubuntu linux) | {
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> > root@master:~/project/data# python
... | {
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(http://stackoverflow.com/questions/9173073/python-mysql-mysqldb-testing-the-insert-function-its-not-adding-rows),
otherwise some DB client libraries will complain (specifically,
MySQLdb).
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The rest of the changes are to fix tests related to this "new" behaviour.
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http://travis-ci.org/#!/msabramo/pandas/builds/1596467
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This would allow duck typing and make the use of such structures across pandas and R as seamless as possible. This might be at the expense of performances in cases where conversion are made behind the sce... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1449 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1449/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1449/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1449/events | https://github.com/pandas-dev/pandas/pull/1449 | 5,026,303 | MDExOlB1bGxSZXF1ZXN0MTU0NTg2NQ== | 1,449 | Allow to_dict to return lists and Series | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1450 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1450/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1450/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1450/events | https://github.com/pandas-dev/pandas/issues/1450 | 5,034,071 | MDU6SXNzdWU1MDM0MDcx | 1,450 | Add option to disable empty string -> NA in file readers | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1451 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1451/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1451/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1451/events | https://github.com/pandas-dev/pandas/issues/1451 | 5,034,443 | MDU6SXNzdWU1MDM0NDQz | 1,451 | Monthly resampling bug encountered at PyGotham | {
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```
from pandas import *
dates = date_range('4/16/2012 20:00', periods=5000, freq='h')
ts = Series(randn(len(dates)), index=dates)
ts.resample('M')
```
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https://api.github.com/repos/pandas-dev/pandas/issues/1452 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1452/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1452/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1452/events | https://github.com/pandas-dev/pandas/issues/1452 | 5,034,764 | MDU6SXNzdWU1MDM0NzY0 | 1,452 | JSON construct datetime64 views, not copies | {
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`dtype = PyArray_DescrFromType(NPY_INT64);
new_obj = PyArray_View(obj, dtype, NULL);
Py_DECREF(dtype);
if (new_obj == NULL) {
...
}`
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https://api.github.com/repos/pandas-dev/pandas/issues/1453 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1453/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1453/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1453/events | https://github.com/pandas-dev/pandas/issues/1453 | 5,035,376 | MDU6SXNzdWU1MDM1Mzc2 | 1,453 | Change Factor to Categorical or Enum or something | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1454 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1454/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1454/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1454/events | https://github.com/pandas-dev/pandas/pull/1454 | 5,038,113 | MDExOlB1bGxSZXF1ZXN0MTU1MTEyNw== | 1,454 | DOC: Add regex to parser docs for sep. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1455 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1455/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1455/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1455/events | https://github.com/pandas-dev/pandas/issues/1455 | 5,038,354 | MDU6SXNzdWU1MDM4MzU0 | 1,455 | SeriesGroupBy.count() errors when original series is MultiIndex with Datetime as level 0 | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-06-13T00:46:11Z | 2012-06-14T14:49:05Z | 2012-06-14T14:48:58Z | CONTRIBUTOR | null | ``` python
from pandas import *
dr = date_range(start='1/1/2012', freq='5min', periods=10)
# BAD Example, datetimes first
labels = zip(dr, range(10))
s = Series(np.arange(10), index=MultiIndex.from_tuples(labels, names=['a','b']))
grouped = s.groupby(lambda x: x[1] % 2 == 0)
grouped.count()
# DateParseError: Could n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1456 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1456/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1456/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1456/events | https://github.com/pandas-dev/pandas/pull/1456 | 5,038,859 | MDExOlB1bGxSZXF1ZXN0MTU1MTQyNA== | 1,456 | Add parentheses to a print statement so it compiles under Python 3 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1457 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1457/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1457/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1457/events | https://github.com/pandas-dev/pandas/issues/1457 | 5,055,152 | MDU6SXNzdWU1MDU1MTUy | 1,457 | Factor with -1 in labels, testing | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1458 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1458/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1458/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1458/events | https://github.com/pandas-dev/pandas/issues/1458 | 5,055,165 | MDU6SXNzdWU1MDU1MTY1 | 1,458 | Resampling issue described in stackoverflow | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1459 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1459/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1459/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1459/events | https://github.com/pandas-dev/pandas/issues/1459 | 5,055,498 | MDU6SXNzdWU1MDU1NDk4 | 1,459 | Resample bug after converting tz | {
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dr = date_range(start='2012-4-13', end='2012-5-1')
ts = Series(range(len(dr)), dr)
ts_utc = ts.tz_convert('UTC')
ts_local = ts_utc.tz_convert('America/Los_Angeles')
ts_local.resample('W')
```
yields
``` traceback
~/env/lib/python2.7/site-packages/pandas/tseries/resample.pyc in _get_time_bins(self, axis)
107
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https://api.github.com/repos/pandas-dev/pandas/issues/1460 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1460/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1460/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1460/events | https://github.com/pandas-dev/pandas/issues/1460 | 5,058,121 | MDU6SXNzdWU1MDU4MTIx | 1,460 | labels argument to cut not exactly what's desired | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1462 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1462/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1462/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1462/events | https://github.com/pandas-dev/pandas/issues/1462 | 5,058,434 | MDU6SXNzdWU1MDU4NDM0 | 1,462 | Improve cut handling of integer arrays | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1463 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1463/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1463/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1463/events | https://github.com/pandas-dev/pandas/issues/1463 | 5,058,449 | MDU6SXNzdWU1MDU4NDQ5 | 1,463 | Return NA in Categorical for out of range values | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1464 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1464/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1464/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1464/events | https://github.com/pandas-dev/pandas/issues/1464 | 5,059,569 | MDU6SXNzdWU1MDU5NTY5 | 1,464 | Resample bug with sparse indexes. Incorrectly assumes upsample | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-06-13T23:21:03Z | 2012-06-14T02:36:24Z | 2012-06-14T02:36:24Z | CONTRIBUTOR | null | ``` python
from pandas import *
dr = date_range(start='1/1/2012', freq='5min', periods=1000)
s = Series(np.array(100), index=dr)
# subset the data.
s = s[s.index.hour < 7]
# len(s) is now 336
s.resample('10min', how=lambda x: len(x))
# Wrong, thinks we're upsampling
#2012-01-01 00:00:00 100
#2012-01-01 00:15:00 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1465 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1465/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1465/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1465/events | https://github.com/pandas-dev/pandas/issues/1465 | 5,061,189 | MDU6SXNzdWU1MDYxMTg5 | 1,465 | resample error with closed='left' and label='right'. | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-06-14T01:40:20Z | 2013-12-04T00:43:13Z | 2012-06-14T03:38:05Z | CONTRIBUTOR | null | ``` python
from pandas import *
# ERROR
s = Series(0, index=date_range(start='1/1/2012 9:30', freq='1min', periods=21))
s.resample('10min', how='mean',closed='left', label='right')
# Works. Only changed the start time.
s = Series(0, index=date_range(start='1/1/2012 9:31', freq='1min', periods=21))
s.resample('10min'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1466 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1466/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1466/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1466/events | https://github.com/pandas-dev/pandas/issues/1466 | 5,061,799 | MDU6SXNzdWU1MDYxNzk5 | 1,466 | Treatment of gaps in timeseries plots | {
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"followers_url": "https://api.github.com/users/wesm/... | 3 | 2012-06-14T02:58:52Z | 2012-06-19T17:20:00Z | 2012-06-19T17:20:00Z | CONTRIBUTOR | null | add option to drop parts of the xaxis without data
from mailing list:
Hi,
I am having difficulty sorting out how to do any intra-day plot of time series data in matplotlib or pandas. I have looked through the documentation and also purchased the Python_for_Data_Analysis ebook but it does not seem covered in either.... | {
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should probably be tuned - especially for integers
maybe related to issue #1462
qcut(Series([0,1,2,3,4,5,3531132324355]))
Factor:
array([(-3531132324.355, 1.5], (-3531132324.355, 1.5], (1.5, 3], (1.5, 3],
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Referenced in #1458
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``` python
In [1]: import datetime, pandas
In [2]: pandas.version.version
Out[2]: '0.8.0b2'
In [... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1477 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1477/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1477/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1477/events | https://github.com/pandas-dev/pandas/issues/1477 | 5,094,443 | MDU6SXNzdWU1MDk0NDQz | 1,477 | Add "overwrite" option to DataFrame.update | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1479 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1479/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1479/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1479/events | https://github.com/pandas-dev/pandas/issues/1479 | 5,096,857 | MDU6SXNzdWU1MDk2ODU3 | 1,479 | Additional methods for replace/fillna | {
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Maybe allow users to use Series.interpolate and other custom interpolation functions
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https://api.github.com/repos/pandas-dev/pandas/issues/1480 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1480/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1480/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1480/events | https://github.com/pandas-dev/pandas/issues/1480 | 5,099,145 | MDU6SXNzdWU1MDk5MTQ1 | 1,480 | Slicing with duplicate index values error | {
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If one has data with non-unique indices like this one:
X.3
X.1_X.2
2004-01-02 08:12:30 1.2586
2004-01-02 08:12:31 1.2586
2004-01-02 08:12:32 1.2586
2004-01-02 08:12:32 1.2585
2004-01-02 08:12:36 1.2585
2004-01-02 08:12:37 1.2585
and one does a ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1482 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1482/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1482/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1482/events | https://github.com/pandas-dev/pandas/issues/1482 | 5,099,712 | MDU6SXNzdWU1MDk5NzEy | 1,482 | Don't convert bday freq in ts plots | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1483 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1483/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1483/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1483/events | https://github.com/pandas-dev/pandas/issues/1483 | 5,101,181 | MDU6SXNzdWU1MTAxMTgx | 1,483 | MonthStart resample errors on binning. | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-06-15T21:32:02Z | 2012-06-19T20:46:47Z | 2012-06-19T20:46:47Z | CONTRIBUTOR | null | ``` python
from pandas import *
N = 1000
s = Series(np.arange(N), index=date_range(start='1/1/2012', freq='5min', periods=N))
s.resample('MS')
```
Not sure if this is new, first time using MS.
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https://api.github.com/repos/pandas-dev/pandas/issues/1484 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1484/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1484/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1484/events | https://github.com/pandas-dev/pandas/issues/1484 | 5,109,425 | MDU6SXNzdWU1MTA5NDI1 | 1,484 | TestDataFramePlots.test_scatter fails with matplotlib v1.0.1 | {
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The FreeBSD port for matplotlib has not yet been updated to v1.1.0. In the mean time, this test fails due to a default marker type ('.') that is unknown in matplotlib v1.0.1.
# Details
## Environment
```
# uname -a
FreeBSD REDACTED 9.0-STABLE FreeBSD 9.0-STABLE #0 r236450: Sat Jun 2 11:08:51 EDT 2012 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1489/events | https://github.com/pandas-dev/pandas/issues/1489 | 5,113,719 | MDU6SXNzdWU1MTEzNzE5 | 1,489 | Time series dtype bug in DataFrame constructor | {
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import pandas as pd
rng1 = pd.date_range('1/1/1999', '1/1/2012', freq='MS')
s1 = Series(np.random.randn(len(rng1)), rng1)
rng2 = pd.date_range('1/1/1980', '12/1/2001', freq='MS')
s2 = Series(np.random.randn(len(rng2)), rng2)
df = DataFrame({'s1' : s1, 's2' : s2})
# s1 is fine
In... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1490 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1490/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1490/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1490/events | https://github.com/pandas-dev/pandas/pull/1490 | 5,113,880 | MDExOlB1bGxSZXF1ZXN0MTU4MzQzNw== | 1,490 | Fast union bug | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1491 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1491/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1491/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1491/events | https://github.com/pandas-dev/pandas/issues/1491 | 5,114,914 | MDU6SXNzdWU1MTE0OTE0 | 1,491 | DataFrame constructor (dict of tuples) | {
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```
DataFrame({'a':(1,2,3)})
```
with this error:
```
*** ValueError: If use all scalar values, must pass index
```
Using a dictionary where the values are equal length tuples us... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1492 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1492/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1492/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1492/events | https://github.com/pandas-dev/pandas/pull/1492 | 5,115,712 | MDExOlB1bGxSZXF1ZXN0MTU4NDA4OQ== | 1,492 | yahoo quote percent changed as float | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-06-18T01:19:59Z | 2012-06-19T17:04:08Z | 2012-06-19T17:04:08Z | CONTRIBUTOR | null | Changed "get_quote_yahoo" to parse the change_pct as a float instead of a string.
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https://api.github.com/repos/pandas-dev/pandas/issues/1493 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1493/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1493/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1493/events | https://github.com/pandas-dev/pandas/issues/1493 | 5,125,324 | MDU6SXNzdWU1MTI1MzI0 | 1,493 | Keywords not being passed on in DataFrame.boxplot | {
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Pandas uses the matplotlib boxplot, but it does not support passing down the argument 'notch=1' to the actual matplotlib boxplot call.
df.boxplot(notch=1) gives a traceback
Although according to documentation there should be some kind of kwds mechanism, there is none in fact.
Docstring:
boxplot(self, column=None... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/1494 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1494/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1494/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1494/events | https://github.com/pandas-dev/pandas/issues/1494 | 5,131,986 | MDU6SXNzdWU1MTMxOTg2 | 1,494 | When constructing DataFrame from list of Series use names for index. | {
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"followers_url": "https://api.github.com/users/wesm/... | 0 | 2012-06-18T19:43:01Z | 2012-06-25T14:14:07Z | 2012-06-25T14:14:07Z | CONTRIBUTOR | null | From [mailing list](https://groups.google.com/forum/?fromgroups#!topic/pydata/RP_LdVyD1v0)
When constructing a DataFrame from a list of series, use the series name as index value (if possible).
Workaround is to use `DataFrame.from_items()`
``` python
In [21]: series = [pandas.Series(np.random.rand(3), name=c) for c i... | {
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need more complex handling (esp. with legends) if need to do secondary y-axis by column when subplots=False
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https://api.github.com/repos/pandas-dev/pandas/issues/1497 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1497/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1497/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1497/events | https://github.com/pandas-dev/pandas/issues/1497 | 5,143,252 | MDU6SXNzdWU1MTQzMjUy | 1,497 | Index access not inconsistent? | {
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```
df[20:30]
```
but not
```
df[20]
```
?
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https://api.github.com/repos/pandas-dev/pandas/issues/1500 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1500/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1500/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1500/events | https://github.com/pandas-dev/pandas/issues/1500 | 5,166,540 | MDU6SXNzdWU1MTY2NTQw | 1,500 | ERROR: test_argmin_argmax (pandas.tseries.tests.test_timeseries.TestDatetimeIndex) | {
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Traceback (most recent call last):
File "/home/agerigk/python-packages/pandas/pandas/tseries/tests/test_timeseries.py", line 1106, in test_argmin_argmax
self.assertEqual(idx.argmin(), 1)
File "/home/agerigk/python-packages/pandas/pandas/tseries/index.py", line 1041, in argmin
return (-self).argmax()
Ty... | {
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