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this will nan the element if the nobs is < min_i (which should default to 1 to replicate current operations)
need to also propogate argument to: core.frame.corr/cov
possibly add to: core.series.corr/cov
```
@cython.boundscheck(Fals... | {
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df1 = pandas.DataFrame({'a':np.arange(5),'b':np.arange(5)},index=3+np.arange(5))
df2 = pandas.DataFrame({'c':np.arange(5),'d':np.arange(5)})
pandas.concat([df1,df2],axis=1,ignore_index=False)
a b c d
0 NaN NaN 0 0
1 Na... | {
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```
y = pandas.Series(np.random.random(10))
type(y[:,None])
```
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factored out the pprint code to a helper.
now supports pprinting of heterogeneous nested-nested-nested tuples with unicode strings,
FTW.
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import datetime
import sys
import numpy
from matplotlib import pyplot
import pandas;print(pandas.__version__); #comment out this line to have it work
fig = pyplot.figure()
ax = fig.add_subplot(1, 1, 1)
dates = [datetime.date(2008, 12, 31), datetime.date(2009, 1, 31)]
values1 = numpy.arange(10.0, 11.0, 0.5)
values... | {
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Calling set_index() on a DataFrame breaks depending on the columns name I use !!!
This code fails :
``` python
df3 = DataFrame({
'0001-INTERNAL_PRODUCT_CODE': {('A', 'A0006000', 'nuit'): 'A0006000'},
'0004-PACKAGING_LANGU... | {
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"creator": null,
"description": "2014-02-3: previous version released",
"due_on": "2014-05-31T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
"id": 526062,
"labels_url": "htt... | 6 | 2012-10-02T19:09:13Z | 2016-09-22T17:21:30Z | 2014-03-09T15:21:07Z | CONTRIBUTOR | null | from [mailing list](https://groups.google.com/forum/?fromgroups=#!searchin/pystatsmodels/pandas$20plot$20with$20DatetimeIndex$20ignore$20x$20axis$20margin/pystatsmodels/9ZQkzoSibSE/jvU35qVeasUJ)
Hello,
I noticed that setting the x margin in a plot of a data frame with a DatetimeIndex is ignored.
Example plot:
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https://api.github.com/repos/pandas-dev/pandas/issues/2011 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2011/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2011/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2011/events | https://github.com/pandas-dev/pandas/issues/2011 | 7,306,610 | MDU6SXNzdWU3MzA2NjEw | 2,011 | io.data._sanitize_dates behavior vs. docs | {
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```
>>> from pandas.io.data import _sanitize_dates
>>> _sanitize_dates(None, None)
(datetime.datetime(2011, 10, 3, 17, 32, 52, 9691... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2015/events | https://github.com/pandas-dev/pandas/pull/2015 | 7,336,713 | MDExOlB1bGxSZXF1ZXN0MjUzNjE3OQ== | 2,015 | Rplot | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2016/events | https://github.com/pandas-dev/pandas/pull/2016 | 7,359,863 | MDExOlB1bGxSZXF1ZXN0MjU0NzI4OQ== | 2,016 | DOC: update parsers header, names args doc | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2017 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2017/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2017/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2017/events | https://github.com/pandas-dev/pandas/issues/2017 | 7,360,796 | MDU6SXNzdWU3MzYwNzk2 | 2,017 | reset_index fails with MultiIndex in columns | {
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import pandas as pd
import numpy as np
df = pd.DataFrame([(1,2,3), (4,5,6)], columns = ['a','b','c'])
df.groupby(['a']).agg({'b': [np.mean, np.sum]}).reset_index()
---------------------------------------------------------------------------
Exception Traceback (most recent call last)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2018 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2018/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2018/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2018/events | https://github.com/pandas-dev/pandas/issues/2018 | 7,360,911 | MDU6SXNzdWU3MzYwOTEx | 2,018 | Confusing pd.to_datetime behavior | {
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## Parameters
arg : string, datetime, array of strings (with possible NAs)
Without any date format option.
I do get some weird output though:
```
In [4]:
pd.to_datetime('121001')
Out[4]:
datetime.datetime(2012, 10, 1, 0, 0)
In [5]:
pd.to_datetime('121001', dayfirst=True)
Out[5]:
datetime.datet... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2019 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2019/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2019/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2019/events | https://github.com/pandas-dev/pandas/pull/2019 | 7,362,770 | MDExOlB1bGxSZXF1ZXN0MjU0ODg2Ng== | 2,019 | ENH: pivot_annual with a better exception message | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-10-04T20:59:55Z | 2012-11-24T08:21:52Z | 2012-11-24T08:21:52Z | CONTRIBUTOR | null | Without the extended message the user hardly understand why no integers are allowed.
Actually, I do not even understand it by now.
Can we not use _values.fill(np.nan)_ with integers?
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https://api.github.com/repos/pandas-dev/pandas/issues/2020 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2020/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2020/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2020/events | https://github.com/pandas-dev/pandas/issues/2020 | 7,363,419 | MDU6SXNzdWU3MzYzNDE5 | 2,020 | ENH: add hourofyear to period | {
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"description": "DateOffs... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2012-10-04T21:25:32Z | 2016-12-31T11:59:08Z | 2016-12-29T11:12:14Z | CONTRIBUTOR | null | Please add to
https://github.com/pydata/pandas/blob/master/pandas/tseries/period.py
- hourofyear
BTW,
How is it possible for user to add further convenience functions like:
- minuteofday
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https://api.github.com/repos/pandas-dev/pandas/issues/2021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2021/events | https://github.com/pandas-dev/pandas/issues/2021 | 7,365,109 | MDU6SXNzdWU3MzY1MTA5 | 2,021 | Timestamp.dayofyear method returns day of month. | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-10-04T22:40:03Z | 2012-10-05T01:53:14Z | 2012-10-05T01:53:14Z | NONE | null | I noticed this while doing some work where I'm filtering values based on day of year: The dayofyear method of the Timestamp class returns the day of the month, not the day of the year. I realize there are a number of ways to compute this, none of which is very fast, but it could be changed to return the difference, i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2022/events | https://github.com/pandas-dev/pandas/pull/2022 | 7,365,342 | MDExOlB1bGxSZXF1ZXN0MjU1MDI0OA== | 2,022 | BUG: reset_index fails with MultiIndex in columns #2017 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2023/events | https://github.com/pandas-dev/pandas/issues/2023 | 7,366,886 | MDU6SXNzdWU3MzY2ODg2 | 2,023 | Multiple functions in GroupBy.apply/transform | {
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"labels_url": "htt... | 1 | 2012-10-05T00:23:19Z | 2014-03-09T15:21:30Z | 2014-03-09T15:21:30Z | CONTRIBUTOR | null | 1. Returns DataFrame for SeriesGroupBy.transform
2. Returns DataFrame with MultiIndexed columns for DataFrameGroupBy.transform
3. `chain` parameter to control whether transforms are applied in sequence or not
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https://api.github.com/repos/pandas-dev/pandas/issues/2024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2024/events | https://github.com/pandas-dev/pandas/issues/2024 | 7,373,596 | MDU6SXNzdWU3MzczNTk2 | 2,024 | pd.merge fails if columns of only one side are hierarchical (even if index is equal) | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-10-05T09:33:52Z | 2012-11-28T03:10:37Z | 2012-11-28T03:07:50Z | NONE | null | ```
import pandas as pd
import numpy as np
df = pd.DataFrame([(1,2,3), (4,5,6)], columns = ['a','b','c'])
new_df = df.groupby(['a']).agg({'b': [np.mean, np.sum]})
other_df = df = pd.DataFrame([(1,2,3), (7,10,6)], columns = ['a','b','d'])
other_df.set_index('a', inplace=True)
print new_df
print other_df
pd.merge(new_df,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2025/events | https://github.com/pandas-dev/pandas/issues/2025 | 7,377,047 | MDU6SXNzdWU3Mzc3MDQ3 | 2,025 | datetime64[ns] index values output incorrect in DataFrame.to_html() | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-10-05T12:43:36Z | 2012-10-06T17:49:10Z | 2012-10-06T17:49:04Z | CONTRIBUTOR | null | Please see the example below:
``` python
In [39]: df = pd.DataFrame({'a': np.arange(3)}, index=pd.date_range('2010-01-01', periods=3, freq='B'))
In [40]: print df
a
2010-01-01 0
2010-01-04 1
2010-01-05 2
In [41]: print df.to_html()
<table border="1" class="dataframe">
<thead>
<tr style="text-ali... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2026/events | https://github.com/pandas-dev/pandas/issues/2026 | 7,379,753 | MDU6SXNzdWU3Mzc5NzUz | 2,026 | Allow DataFrame.to_csv to represent inf and nan differently | {
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"followers_url": "https://api.github.com/users/wesm/... | 9 | 2012-10-05T14:29:33Z | 2012-12-07T15:16:57Z | 2012-12-02T16:55:23Z | CONTRIBUTOR | null | I would like the DataFrame.to_csv method to have an option to store inf values as "inf" and nan values as "nan". This will be important for computations that use inf and nan differently.
Currently:
In [72]: df = pd.DataFrame({'A': [inf]})
In [73]: print isinf(df)
A
0 True
In [74]: df.to_csv('temp.csv')
In [75]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2027/events | https://github.com/pandas-dev/pandas/issues/2027 | 7,380,349 | MDU6SXNzdWU3MzgwMzQ5 | 2,027 | Fillna with value & other arguments should raise exception | {
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"followers_url": "https://api.github.com/users/wesm/... | 3 | 2012-10-05T14:51:19Z | 2012-11-30T23:46:22Z | 2012-11-30T23:46:22Z | CONTRIBUTOR | null | ```
In [1]: import pandas
In [2]: import numpy as np
In [3]: s = pandas.Series(range(10),dtype=np.float64)
In [4]: s[3] = np.nan
In [5]: s[6] = np.nan
In [6]: s
Out[6]:
0 0
1 1
2 2
3 NaN
4 4
5 5
6 NaN
7 7
8 8
9 9
```
backfilling ok
```
In [8]: s.fillna(method='bfill')
Out[8]:
0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2028/events | https://github.com/pandas-dev/pandas/pull/2028 | 7,389,930 | MDExOlB1bGxSZXF1ZXN0MjU2MjI2Nw== | 2,028 | Fix for EOF issue on c-parser branch | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-10-05T21:19:44Z | 2014-07-21T16:38:13Z | 2012-10-29T18:07:48Z | CONTRIBUTOR | null | Fix EOF issue on c-parser branch due to parser_handle_eof() not explicitely returning a value if state is START_RECORD. This results in the return value sometimes incorrectly set to -1 on Mac OS (seems to work okay on linux though). As a result, a parser exception is raised even though the file is read correctly.
Patc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2029/events | https://github.com/pandas-dev/pandas/pull/2029 | 7,394,863 | MDExOlB1bGxSZXF1ZXN0MjU2NDU2OQ== | 2,029 | (much) faster testing | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-10-06T05:59:52Z | 2012-10-12T23:41:02Z | 2012-10-12T23:40:40Z | NONE | null | after priming the cache, the extensions and cythoning will only recompile if files
change. otherwise they are retrieved from the cache.
the caching is disabled by default just in case it's buggy, but i've had no problems
so far.
with caching enabled and using tox_prll.shl it now takes 25 seconds to test all
2.x and a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2030/events | https://github.com/pandas-dev/pandas/pull/2030 | 7,399,324 | MDExOlB1bGxSZXF1ZXN0MjU2NjA0Mw== | 2,030 | Fix groupby.median documentation | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-10-06T18:57:58Z | 2014-07-19T02:19:40Z | 2012-10-06T19:22:59Z | CONTRIBUTOR | null | Minor oversight - looks like when the documentation was copied to median from mean the function name didn't get updated.
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https://api.github.com/repos/pandas-dev/pandas/issues/2031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2031/events | https://github.com/pandas-dev/pandas/issues/2031 | 7,400,645 | MDU6SXNzdWU3NDAwNjQ1 | 2,031 | pearson corr can throw IndexError | {
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] | closed | false | null | [] | {
"closed_at": "2013-05-10T10:40:59Z",
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"followers_url": "https://api.github.com/users/wesm/f... | 3 | 2012-10-06T21:33:59Z | 2013-01-20T00:13:43Z | 2013-01-20T00:13:43Z | CONTRIBUTOR | null | I just got this from a ipython parallel run (so unfortunately no reproduceable case):
```
IndexError Traceback (most recent call last)<string>in <module>()
C:\data\phd\montecarlo-paper\functions.py in simulate(inputs)
C:\portabel\Python27\lib\site-packages\pandas\core\frame.pyc in corr(se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2032/events | https://github.com/pandas-dev/pandas/pull/2032 | 7,403,066 | MDExOlB1bGxSZXF1ZXN0MjU2NzIxNQ== | 2,032 | fixed color keyword in time series plot - issue | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-10-07T06:54:33Z | 2014-07-08T12:28:44Z | 2012-10-31T20:20:18Z | CONTRIBUTOR | null | Fix 33bb84b was to series.plot not timeseries.plot. This is the same fix for timeseries.plot.
Not sure why the def _maybe_add_color(kwargs, style, i) occurs in both _make_plot and _make_ts_plot?
#1890
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https://api.github.com/repos/pandas-dev/pandas/issues/2033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2033/events | https://github.com/pandas-dev/pandas/issues/2033 | 7,404,224 | MDU6SXNzdWU3NDA0MjI0 | 2,033 | .ix does not warn when selecting a none-existing column | {
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"closed_at": "2014-02-03T05:17:36Z",
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"created_at": "2013-08-26T22:11:58Z",
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"followers_url": "https://api.github.com/users/... | 5 | 2012-10-07T11:40:41Z | 2014-07-08T11:43:03Z | 2013-12-18T20:09:34Z | CONTRIBUTOR | null | ```
df3 = DataFrame({"a":[1,2,3,4], "b":[1,2,3,4]})
df3.ix[:,["b","c"]]
Out[1]:
b c
0 1 NaN
1 2 NaN
2 3 NaN
3 4 NaN
```
I would have (had...) expected that the `df3.ix[:,["b","c"]]` will throw an error :-(
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https://api.github.com/repos/pandas-dev/pandas/issues/2034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2034/events | https://github.com/pandas-dev/pandas/issues/2034 | 7,404,641 | MDU6SXNzdWU3NDA0NjQx | 2,034 | Default column names for `read_csv` and for data frames created from other data | {
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If you create a data frame from exiting arrays or lists or something the column names default to `0` to `N` and are integers.
Shou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2035/events | https://github.com/pandas-dev/pandas/issues/2035 | 7,405,937 | MDU6SXNzdWU3NDA1OTM3 | 2,035 | Need syntax sugar for dataframe row selection | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2012-10-07T16:06:37Z | 2013-12-16T15:10:28Z | 2013-12-16T15:10:14Z | NONE | null | Current dataframe row selection by columns is wordy , 'rowsl()' method is need to make it looks simple.
def _rowsl(df, selection_str):
#syntax sugar to simplify column selection:
# df.rowsl('col_1>0.5 & col_2<40') act as
# df[(df['col_1']>0.5) & (df['col_2']<40)]
```
#not_implement_yet
#rst = par... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2036/events | https://github.com/pandas-dev/pandas/pull/2036 | 7,409,100 | MDExOlB1bGxSZXF1ZXN0MjU2OTAxNQ== | 2,036 | TST: DF should not error when 'columns' is a list that contains dupes | {
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> In [1]: DataFrame(data,columns=["a","a"])
>
> ...
> pandas/pandas/core/internals.pyc in _stack_dict(dct, ref_items, dtype)
> 1344 stacked = np.empty(shape, dtype=dtype)
> 1345 for i, item in enumerate(items):
> -> 1346 stac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2037/events | https://github.com/pandas-dev/pandas/issues/2037 | 7,411,837 | MDU6SXNzdWU3NDExODM3 | 2,037 | Can speed of shift() improved ? | {
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"created_at": "2015-02-26T19:29:05Z",
"creator": {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2012-10-08T04:53:20Z | 2016-09-29T22:44:19Z | 2016-09-29T22:36:55Z | NONE | null | I cprofile my python code and found 'shift()' is one of the speed bottleneck.
Then I do below test :
In [27]: df = DataFrame(np.random.randn(50000, 10))
In [28]: timeit df.shift(1)
10 loops, best of 3: 19.7 ms per loop
In [29]: df = DataFrame(np.random.randn(50000, 100))
In [30]: timeit df.shift(1)
1 loops, best o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2038/events | https://github.com/pandas-dev/pandas/issues/2038 | 7,412,777 | MDU6SXNzdWU3NDEyNzc3 | 2,038 | DataFrame header is misaligned when column names contain tabs | {
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"followers_url": "https://api.github.com/users/wesm/... | 5 | 2012-10-08T06:52:20Z | 2012-11-17T03:53:27Z | 2012-11-17T03:53:27Z | NONE | null | Like it says in the title:
```
In [10]: pd.DataFrame([{"a\tb": 1, "c": 2}])
Out[10]:
a b c
0 1 2
```
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https://api.github.com/repos/pandas-dev/pandas/issues/2039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2039/events | https://github.com/pandas-dev/pandas/issues/2039 | 7,422,701 | MDU6SXNzdWU3NDIyNzAx | 2,039 | kde plots produce unexpected behavior with integers | {
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... | closed | false | null | [] | null | 2 | 2012-10-08T15:08:41Z | 2012-10-09T14:09:21Z | 2012-10-09T14:09:21Z | NONE | null | If we feed a series of integers into the kde plot the results are a horizontal line:
```
newy = pandas.Series([10,26,36,64,69,73,76,79,80,81,81,82,83,86,89,93,98,126,136,152])
newy.plot(kind='kde')
```
However, if the series is floats, instead of ints, things work as expected:
```
newy = pandas.Series([10.0,26,36,64... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2040/events | https://github.com/pandas-dev/pandas/pull/2040 | 7,424,840 | MDExOlB1bGxSZXF1ZXN0MjU3NTcyNQ== | 2,040 | ENH: add arguments for scatter_plot | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2012-10-08T16:28:49Z | 2014-07-27T21:52:06Z | 2013-07-29T05:09:11Z | MEMBER | null | Modifies pandas/tools/plotting.py
- xlim, ylim, sharex, sharey, xlabelsize and ylabelsize arguments are added
- To handle the common arguments for axes decoration, _decorate_axes() function has been added (currently, only scatter_plot uses this function).
- kwds argument added which is passed to ax.scatter()
- Some tes... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2041 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2041/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2041/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2041/events | https://github.com/pandas-dev/pandas/issues/2041 | 7,428,804 | MDU6SXNzdWU3NDI4ODA0 | 2,041 | read_csv treats both inf and -inf as very large negative number | {
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``` python
In [42]: data = """\
....: ,A
....: a,inf
....: b,-inf
....: """
In [43]: df = pd.read_csv(StringIO(data), index_col=0)
In [44]: df
Out[44]:
A
a -922337203685477... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2042 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2042/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2042/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2042/events | https://github.com/pandas-dev/pandas/issues/2042 | 7,432,285 | MDU6SXNzdWU3NDMyMjg1 | 2,042 | Dot doesn't accept arrays | {
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In [93]: a = rand(1,5)
In [94]: b = rand(5,1)
In [95]: A = pd.DataFrame(a)
In [96]: B = pd.DataFrame(b)
In [97]: a.dot(b)
Out[97]: array([[ 1.50425267]])
In [98]: A.dot(B)
Out[98]:
0
0
1.504253
In [99]: a.dot(B)
Out[99]: array([[ 1.50425267]])
In [100]: A.dot(b)
------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2043 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2043/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2043/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2043/events | https://github.com/pandas-dev/pandas/issues/2043 | 7,433,282 | MDU6SXNzdWU3NDMzMjgy | 2,043 | Merge doc still refers to Index uniqueness as requirement | {
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"followers_url": "https://api.github.com/users/wesm/... | 0 | 2012-10-08T22:28:29Z | 2012-11-02T14:22:33Z | 2012-11-02T14:22:33Z | CONTRIBUTOR | null | "Note that if using the index from either the left or right DataFrame (or both) using the left_index / right_index options, the join operation is no longer a many-to-many join by construction, as the index values are necessarily unique. There will be some examples of this below."
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https://api.github.com/repos/pandas-dev/pandas/issues/2044 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2044/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2044/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2044/events | https://github.com/pandas-dev/pandas/issues/2044 | 7,433,959 | MDU6SXNzdWU3NDMzOTU5 | 2,044 | filter_func parameter in DataFrame.update | {
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@jseabold any opinions?
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https://api.github.com/repos/pandas-dev/pandas/issues/2045 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2045/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2045/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2045/events | https://github.com/pandas-dev/pandas/issues/2045 | 7,434,454 | MDU6SXNzdWU3NDM0NDU0 | 2,045 | ordered_merge output out of order | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-10-08T23:36:03Z | 2012-11-19T01:45:18Z | 2012-11-19T00:20:51Z | CONTRIBUTOR | null | ``` python
In [31]: df1
Out[31]:
date val
0 2012-01-01 00:00:00 -0.199984
1 2012-01-04 00:00:00 1.175552
2 2012-01-07 00:00:00 0.190748
3 2012-01-10 00:00:00 0.993547
4 2012-01-13 00:00:00 0.582836
In [32]: df2
Out[32]:
date val
0 2012-01-02 00:00:00 0.701435
1 2012... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2046 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2046/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2046/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2046/events | https://github.com/pandas-dev/pandas/issues/2046 | 7,436,217 | MDU6SXNzdWU3NDM2MjE3 | 2,046 | Add nrows= and iterator= argument to ExcelFile.parse | {
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"f... | 3 | 2012-10-09T01:39:00Z | 2017-04-06T11:28:58Z | 2014-05-29T03:00:42Z | NONE | null | These are very convenient for other parsers. This parser alone is lacking some features and documentation.
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https://api.github.com/repos/pandas-dev/pandas/issues/2047 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2047/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2047/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2047/events | https://github.com/pandas-dev/pandas/issues/2047 | 7,445,990 | MDU6SXNzdWU3NDQ1OTkw | 2,047 | DataFrame.iteritems bug for nonunique columns | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-10-09T12:36:43Z | 2012-11-18T18:54:52Z | 2012-11-18T18:54:52Z | CONTRIBUTOR | null | have two choices:
1. iterate over unique columns and returns self[col]
2. iterate over each column entry and return self.icol(i)
#1 is better for a lot of current cases in using iteritems to reconstruct a dict. #2 seems more natural though.
@wesm @lodagro any opinions?
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https://api.github.com/repos/pandas-dev/pandas/issues/2048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2048/events | https://github.com/pandas-dev/pandas/pull/2048 | 7,453,428 | MDExOlB1bGxSZXF1ZXN0MjU4ODY3MA== | 2,048 | fix sql keywords in columns name bug | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-10-09T16:05:11Z | 2014-07-25T22:13:15Z | 2012-11-18T21:16:55Z | CONTRIBUTOR | null | the function `pandas.io.sql.write_frame` failed if keywords were
used as column names in a DataFrame. i have added hard brackets
to the column names as generated by the `get_sqlite_schema`
function and created a test case in `test_sql.py`
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https://api.github.com/repos/pandas-dev/pandas/issues/2050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2050/events | https://github.com/pandas-dev/pandas/pull/2050 | 7,457,265 | MDExOlB1bGxSZXF1ZXN0MjU5MDI1Mw== | 2,050 | To csv infs | {
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"followers_url": "https://api.github.com/users/wesm/... | 3 | 2012-10-09T17:58:45Z | 2014-06-20T15:11:02Z | 2012-12-02T03:14:36Z | CONTRIBUTOR | null | This branch makes inf/-inf different from nan/None (GH #1919), and also fixes a few bugs with INF and NaN values (GH #2026, #2041).
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https://api.github.com/repos/pandas-dev/pandas/issues/2051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2051/events | https://github.com/pandas-dev/pandas/issues/2051 | 7,474,110 | MDU6SXNzdWU3NDc0MTEw | 2,051 | Series repr failure when name is tuple holding non-string type. | {
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In [140]: s = pd.Series(list('abcd'), name=('foo', 1))
In [141]: s
Out[141]: ---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
...
.../pandas/core/format.pyc in _get_footer(self)
86 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2053/events | https://github.com/pandas-dev/pandas/issues/2053 | 7,490,907 | MDU6SXNzdWU3NDkwOTA3 | 2,053 | to_latex has no keyword force_unicode | {
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```
$: git describe
v0.7.0rc1-1778-g9d4f557
```
```
$: python
Enthought Python Distribution -- www.enthought.com
Version: 7.1-1 (32-bit)
>>> import tables
>>> tables.__version__
'2.4.0'
>>>
```
```
$: nosetests -v pandas
...
test_verbose_import (pandas.io.tests.test_parsers.TestParsers) ... ok
test_xl... | {
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File "C:\Python27\lib\site-packages\pandas\core\groupby.py", line 1745, in transform
return self._transform_item_by_item(obj, wrapper)
File "C:\Python27\lib\site-packages\pandas\core\gr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2058 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2058/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2058/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2058/events | https://github.com/pandas-dev/pandas/issues/2058 | 7,521,438 | MDU6SXNzdWU3NTIxNDM4 | 2,058 | Snap to convention in resampling | {
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... | 1 | 2012-10-11T18:07:28Z | 2020-05-11T18:34:11Z | 2020-05-11T18:34:10Z | CONTRIBUTOR | null | if resampled index bin edges don't correspond to the original index, snap the starting data according to the specified convention
http://stackoverflow.com/questions/12844900/upsampling-to-weekly-data-in-pandas
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https://api.github.com/repos/pandas-dev/pandas/issues/2059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2059/events | https://github.com/pandas-dev/pandas/pull/2059 | 7,523,237 | MDExOlB1bGxSZXF1ZXN0MjYyMDI5OQ== | 2,059 | BUG: fix Series repr when name is tuple holding non string-type | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2060/events | https://github.com/pandas-dev/pandas/issues/2060 | 7,524,203 | MDU6SXNzdWU3NTI0MjAz | 2,060 | Timestamp.astimezone returns datetime.datetime | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2061/events | https://github.com/pandas-dev/pandas/issues/2061 | 7,530,499 | MDU6SXNzdWU3NTMwNDk5 | 2,061 | Documentation flow issue | {
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"followers_url": "https://api.github.com/users/wesm/... | 0 | 2012-10-11T23:40:07Z | 2012-11-01T14:19:31Z | 2012-11-01T14:19:31Z | MEMBER | null | CHAPTER 6
ESSENTIAL BASIC FUNCTIONALITY
As the reader moves from section 6.1 to 6.2 to 6.3.1
The df variable does not trace through as the tutorial would expect.
I think it needs to insert something like the following
```
In [14]:
d = {'one': Series(randn(3), index=['a', 'b', 'c']),'two': Series(randn(4),index=[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2062/events | https://github.com/pandas-dev/pandas/issues/2062 | 7,544,434 | MDU6SXNzdWU3NTQ0NDM0 | 2,062 | Unify argument conventions | {
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"f... | 4 | 2012-10-12T14:38:04Z | 2014-04-24T13:27:59Z | 2014-04-24T12:01:25Z | CONTRIBUTOR | null | I know how hard it can be to stick to conventions, but it might be nice to try to unify arguments that do similar things. For example, the argument to select/name columns is not consistent. I realize it's a bit difficult since columns usually means labels and there's an axis argument. I don't know to what extent it's f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2063/events | https://github.com/pandas-dev/pandas/pull/2063 | 7,548,382 | MDExOlB1bGxSZXF1ZXN0MjYzMjU5Ng== | 2,063 | CLN: cleanup tox.ini, remove stale pandas/setup.py, fix tox warning | {
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would back me up on pandas/setup.py being superfluous.
I made sure that setup.py install/develop still works, and that introducing
a failed test is caught by tox as you would expect,
Also see #2029 for much faster tox runs.
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https://api.github.com/repos/pandas-dev/pandas/issues/2064 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2064/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2064/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2064/events | https://github.com/pandas-dev/pandas/issues/2064 | 7,551,626 | MDU6SXNzdWU3NTUxNjI2 | 2,064 | Drop If syntax | {
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"f... | 6 | 2012-10-12T19:19:11Z | 2017-10-17T11:06:11Z | 2017-10-17T11:06:11Z | CONTRIBUTOR | null | Maybe there's already a way to do this, and there's certainly a safer and more robust/full-featured way to do this, but I just monkey-patched my DataFrames to have a dropif method because I got tired of typing.
```
def dropif(self, col, cond):
return self.ix[~eval("self['%s']"%col +cond)]
```
In the spirit of Sta... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2065 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2065/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2065/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2065/events | https://github.com/pandas-dev/pandas/issues/2065 | 7,558,899 | MDU6SXNzdWU3NTU4ODk5 | 2,065 | Update pandas WLS centered_tss to match statsmodels | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2066/events | https://github.com/pandas-dev/pandas/pull/2066 | 7,565,208 | MDExOlB1bGxSZXF1ZXN0MjYzOTc4Ng== | 2,066 | Fix for Python 3.3 | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-10-13T19:13:35Z | 2014-07-15T12:12:35Z | 2012-10-13T19:28:21Z | CONTRIBUTOR | null | There were two problems with a simple 'import pandas' on python 3.3, that have to do with slots.
For the first one, I converted the class initializer into an instance variable.
For the second one, there seems to be a property to compute 'ndim' so I simply removed it.
(I couldn't figure out quickly how to run the tests... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2067 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2067/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2067/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2067/events | https://github.com/pandas-dev/pandas/issues/2067 | 7,574,053 | MDU6SXNzdWU3NTc0MDUz | 2,067 | reindex fails on non-unique index | {
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"Some might conclude that ix and reindex are 100% equivalent based on this. This is indeed true except in the case of integer indexing."
The docstring also doesn't give any hint that one should use a unique index.
```
In [35]:
import pandas as pd
In [36]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2069/events | https://github.com/pandas-dev/pandas/issues/2069 | 7,576,982 | MDU6SXNzdWU3NTc2OTgy | 2,069 | Floating point precision in DataFrame.to_csv | {
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What does R (or others) do?
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https://api.github.com/repos/pandas-dev/pandas/issues/2070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2070/events | https://github.com/pandas-dev/pandas/issues/2070 | 7,583,186 | MDU6SXNzdWU3NTgzMTg2 | 2,070 | Cannot aggregate by mean when using PeriodIndex and high-frequency series does cross between bins | {
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"followers_url": "https://api.github.com/users/wesm/f... | 3 | 2012-10-15T04:23:59Z | 2013-01-21T17:17:58Z | 2013-01-21T17:17:58Z | NONE | null | When using a Series indexed by a PeriodIndex and downsampling, resampling fails when using how='mean' and where the series to be resampled does not span multiple lower-frequency bins.
For example:
```
ix = period_range(start="2012-01-01", end="2012-12-31", freq="M")
s = Series(np.random.randn(len(ix)), index=ix)
s.r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2071/events | https://github.com/pandas-dev/pandas/issues/2071 | 7,587,169 | MDU6SXNzdWU3NTg3MTY5 | 2,071 | c-parser branch: Iteration over an open file handle makes the parser fail | {
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"followers_url": "https://api.github.com/users/wesm/... | 8 | 2012-10-15T09:23:44Z | 2012-11-15T16:07:15Z | 2012-11-15T15:46:12Z | CONTRIBUTOR | null | An example is better than words:
``` python
In [16]: cat test.txt
AAA
BBB
CCC
DDD
EEE
FFF
GGG
In [17]: with open("test.txt") as handle:
iterator = itertools.islice(handle, 3)
print list(iterator)
res = pandas.read_table(handle, squeeze=True, header=None)
....:
['AAA\n', 'BBB... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2072/events | https://github.com/pandas-dev/pandas/issues/2072 | 7,597,979 | MDU6SXNzdWU3NTk3OTc5 | 2,072 | DataFrame.ix selecting integer index not label index | {
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"followers_url": "https://api.github.com/users/wesm/... | 13 | 2012-10-15T16:31:20Z | 2013-03-22T20:06:10Z | 2013-03-22T20:06:10Z | CONTRIBUTOR | null | I recently was using **.ix** on a DataFrame with an index that is very close to the integer index and got some unexpected results:
http://nbviewer.ipython.org/3882591/wonky-indexes.ipynb
I'm not sure if this is a bug or if I'm misreading the docs.
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https://api.github.com/repos/pandas-dev/pandas/issues/2073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2073/events | https://github.com/pandas-dev/pandas/issues/2073 | 7,601,371 | MDU6SXNzdWU3NjAxMzcx | 2,073 | Up-sampling and filling while also passing the "how" parameter | {
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My understanding was that "how" doesn't mean anything in the context of up-sampling, in which case I would expect passing the paramete... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2074/events | https://github.com/pandas-dev/pandas/issues/2074 | 7,604,527 | MDU6SXNzdWU3NjA0NTI3 | 2,074 | Problem with Series.str.match | {
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```
df = pandas.DataFrame([[u'A Confe\xdfion of the most auncient and true christen catholike olde belefe accordyng to the ordre of the .XII. Articles of our co[m]mon crede, set furthe in Englishe to the glory of almightye God, and to the confirma... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2075 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2075/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2075/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2075/events | https://github.com/pandas-dev/pandas/pull/2075 | 7,612,837 | MDExOlB1bGxSZXF1ZXN0MjY1ODY4NA== | 2,075 | Panel constructed with a None as a dict value throws an error | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-10-16T02:42:36Z | 2014-06-18T19:13:57Z | 2012-11-02T20:48:38Z | CONTRIBUTOR | null | Python 2.7.3 (default, Jun 21 2012, 07:50:29)
[GCC 4.4.5] on linux2
Type "help", "copyright", "credits" or "license" for more information.
> > > import pandas
> > > print pandas.**version**
> > > 0.8.1
> > > print pandas.Panel(dict(a = None, b = pandas.DataFrame(index=[1,2,3],columns=[1,2,3])))
> > > Traceback (most r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2076/events | https://github.com/pandas-dev/pandas/issues/2076 | 7,623,154 | MDU6SXNzdWU3NjIzMTU0 | 2,076 | feature request: displaying lots of columns | {
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What's the plan for displaying head() cleanly on my dataframe when there are lots of columns?
R handle's this easily by wrapping the output across multiple lines.
Thanks,
Vishal
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https://api.github.com/repos/pandas-dev/pandas/issues/2077 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2077/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2077/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2077/events | https://github.com/pandas-dev/pandas/issues/2077 | 7,632,042 | MDU6SXNzdWU3NjMyMDQy | 2,077 | reindex raises AssertError after prior reindex | {
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In [1]: import pandas
In [2]: import numpy as np
In [3]: index = pandas.date_range('1/1/2000', periods=8,)
In [4]: p = pandas.Panel(np.random.randn(2, len(index), 4), items=['Item1', 'Item2'],
major_axis=index, minor_axis=['A', 'B', 'C', 'D'])
In [5]: p
Out[5]:
<class 'pandas.core.panel.Panel'>
Dimensions: 2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2078/events | https://github.com/pandas-dev/pandas/issues/2078 | 7,639,412 | MDU6SXNzdWU3NjM5NDEy | 2,078 | "greater than" comparison method of doesn't perform as expected on Micro objects | {
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``` python
In [1]: import pandas
In [2]: Micro = pandas.datetools.Micro
In [3]: 3 * Micro() > 2 * Micro()
Out[3]: False
In [4]: 2 * Micro() > 3 * Micro()
Out[4]: False
```
They can't both be `False`. Giving the arguments to `>` to `cmp` works as expected. Not sure where the issue lies since neither ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2079/events | https://github.com/pandas-dev/pandas/issues/2079 | 7,646,907 | MDU6SXNzdWU3NjQ2OTA3 | 2,079 | BUG: df fails when columns arg is a list containing dupes | {
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In [1]: DataFrame(data,columns=["a","a"])
...
pandas/pandas/core/internals.pyc in _stack_dict(dct, ref_items, dtype)
1344 stacked = np.empty(shape, dtype=dtype)
1345 for i, item in enumerate(items):
-> 1346 stacked[i] = _asarray_compat(dct[item])
1347
1348 # stacked = np.vstack([_asarray_compat(dct[k]) for k in it... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2080/events | https://github.com/pandas-dev/pandas/issues/2080 | 7,655,415 | MDU6SXNzdWU3NjU1NDE1 | 2,080 | pandas.tests.test_graphics error | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-10-17T13:21:27Z | 2012-10-31T20:24:29Z | 2012-10-31T20:24:29Z | CONTRIBUTOR | null | When running nosetests on master i get one error.
This occurs when plotting a dataframe with multiindex holding unicode.
It must be related to my environment since the [travis build](https://travis-ci.org/#!/pydata/pandas/jobs/2795124) passes.
python 2.7
numpy 1.6.2
matplotlib 1.1.0 (backend: Qt4Agg)
``` python
====... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2081/events | https://github.com/pandas-dev/pandas/issues/2081 | 7,704,066 | MDU6SXNzdWU3NzA0MDY2 | 2,081 | pandas needs a package-wide config object? | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2012-10-19T01:04:08Z | 2012-12-11T05:57:05Z | 2012-12-11T05:57:05Z | NONE | null | I'm working on the next Unicode PR, which incorporates some global configurables,
and I can't seem to find a convention for handling that uniformly in pandas.
format.py has `_GlobalPrintConfig`/`print_config`, and core.api has the corresponding
`set_printoptions`, It looks to me like they need to be integrated into so... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2082/events | https://github.com/pandas-dev/pandas/issues/2082 | 7,715,448 | MDU6SXNzdWU3NzE1NDQ4 | 2,082 | bar plot color cycle | {
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for bar/barh `color` does.
Need to make both work for both
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https://api.github.com/repos/pandas-dev/pandas/issues/2083 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2083/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2083/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2083/events | https://github.com/pandas-dev/pandas/issues/2083 | 7,717,799 | MDU6SXNzdWU3NzE3Nzk5 | 2,083 | min/max on datetime64-dtype Series should yield Timestamp | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2084/events | https://github.com/pandas-dev/pandas/issues/2084 | 7,721,521 | MDU6SXNzdWU3NzIxNTIx | 2,084 | parsing data from .csv or .txt | {
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#72 hours starting with midnight Jan 1st, 2011
rng = date_range(’1/1/2011’, periods=72, freq=’H’)
but when I type this
rng = date_range('date.txt', periods=72, freq='H')
unable to parse date.txt
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"description": "2014-02-3: previous version released",
"due_on": "2014-05-31T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
"id": 526062,
"labels_url": "htt... | 1 | 2012-10-19T17:33:03Z | 2014-02-18T20:25:01Z | 2014-02-18T20:25:01Z | CONTRIBUTOR | null | http://stackoverflow.com/questions/12979062/using-a-custom-offset-alias-in-pandas
I'm thinking:
@offset_alias
class CustomOffset(DateOffset):
...
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"followers_url": "https://api.github.com/users/wesm/... | 3 | 2012-10-19T21:57:12Z | 2012-10-31T20:27:52Z | 2012-10-31T20:27:52Z | CONTRIBUTOR | null | Except for test_\* files i ran every file through pep8, and resolved most of the violations.
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https://api.github.com/repos/pandas-dev/pandas/issues/2087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2087/events | https://github.com/pandas-dev/pandas/issues/2087 | 7,737,265 | MDU6SXNzdWU3NzM3MjY1 | 2,087 | Series.diff() not exact for huge numbers: approximation or mistake? | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-10-20T12:33:17Z | 2016-10-12T23:03:16Z | 2012-11-04T23:03:17Z | NONE | null | Series.diff() is not exact for huge numbers. This might be due to some quick approximation or just a bug/mistake.
In [40]: a = 10000000000000000
In [41]: log10(a)
Out[41]: 16.0
In [42]: b = a + 1
In [43]: s = Series([a,b])
In [44]: s.diff()
Out[44]:
0 NaN
1 0
numpy.diff() is not to blame:
In [45]: v = s.v... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2088 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2088/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2088/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2088/events | https://github.com/pandas-dev/pandas/issues/2088 | 7,737,987 | MDU6SXNzdWU3NzM3OTg3 | 2,088 | Feature request: hierarchical axes labels on bar charts | {
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"f... | 1 | 2012-10-20T14:21:51Z | 2019-12-23T04:12:12Z | null | NONE | null | Related to matplotlib/matplotlib#1257.
This is a feature available in Excel and [OpenOffice 3.3](http://www.openoffice.org/dev_docs/features/3.3/#Hierarchical_Axis_Labels_for_Charts).
Example:
I think there may be a simple way to do it with matplotlib's [... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2089/events | https://github.com/pandas-dev/pandas/issues/2089 | 7,738,290 | MDU6SXNzdWU3NzM4Mjkw | 2,089 | Make frequency string alias codes extensible by the user | {
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http://stackoverflow.com/questions/12947521/python-pandas-mixed-boolean-yes-true-and-nan-columns
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https://api.github.com/repos/pandas-dev/pandas/issues/2091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2091/events | https://github.com/pandas-dev/pandas/issues/2091 | 7,739,054 | MDU6SXNzdWU3NzM5MDU0 | 2,091 | Minor issues with ISO8601 shortcuts in time series | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2012-10-20T16:24:24Z | 2013-04-01T12:16:53Z | 2013-04-01T12:16:53Z | MEMBER | null | I've seen this too:
http://stackoverflow.com/questions/12910187/pandas-dataframe-slicing-by-day-hour-minute
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The reason I suspect it is due to a Null value is because when I change the query to be top ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2094 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2094/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2094/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2094/events | https://github.com/pandas-dev/pandas/issues/2094 | 7,740,710 | MDU6SXNzdWU3NzQwNzEw | 2,094 | Sorting by column, API improvements possible with SO example? | {
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"f... | 1 | 2012-10-20T19:44:34Z | 2014-09-11T00:49:44Z | 2014-01-29T21:22:10Z | MEMBER | null | cookie crumbs, in case there's anything to learn here: http://stackoverflow.com/questions/12641606/pandas-sorting-numbers-within-text-by-column
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"events_url": "https://api.github.com/users/wesm/events{/privacy}",
"followers_url": "https://api.github.com/users/wesm/... | 8 | 2012-10-20T20:19:49Z | 2012-12-06T23:39:11Z | 2012-11-01T14:00:10Z | MEMBER | null | see:
```
arr = np.array([ (datetime.datetime(2012, 9, 9, 0, 0), datetime.datetime(2012, 9, 8, 15, 10))],
dtype=[('Date', '<M8[us]'), ('Forecasting', '<M8[us]')])
DataFrame(arr)
```
cf http://stackoverflow.com/questions/12369546/pandas-parsing-datetime-column-from-sqlite-database
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https://api.github.com/repos/pandas-dev/pandas/issues/2096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2096/events | https://github.com/pandas-dev/pandas/issues/2096 | 7,741,010 | MDU6SXNzdWU3NzQxMDEw | 2,096 | Bug with boolean indexing on empty DataFrame | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2012-10-20T20:23:37Z | 2012-11-02T23:06:06Z | 2012-11-02T23:06:06Z | MEMBER | null | xref http://stackoverflow.com/questions/12700251/pandas-edge-case-on-boolean-index-into-empty-dataframe
```
blah = pandas.DataFrame(numpy.empty([0, 1]), columns=['A'], index=pandas.DatetimeIndex([]))
blah[numpy.array([], bool)]
```
Empty DataFrame
```
blah[numpy.array([], bool)] = 0.0
```
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https://api.github.com/repos/pandas-dev/pandas/issues/2097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2097/events | https://github.com/pandas-dev/pandas/pull/2097 | 7,746,921 | MDExOlB1bGxSZXF1ZXN0MjcyMDU2Mw== | 2,097 | PR: adding a core.config module to hold package-wide configurables | {
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## Summary
- core.config is a new module which serves as a general mechanism for working with configurables.
- superceds fmt.print_config, while remaining backward-compatible (set_printoptions(), reset_printoptions() are still working).
- adds the following user API's: `get_option()`, `set_option`, `rese... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2098/events | https://github.com/pandas-dev/pandas/issues/2098 | 7,753,680 | MDU6SXNzdWU3NzUzNjgw | 2,098 | merging on dates ignores sort keyword | {
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"closed_at": "2013-12-30T19:53:14Z",
"closed_issues": 1076,
"created_at": "2012-11-15T23:33:37Z",
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2012-10-21T23:09:13Z | 2013-09-21T13:03:39Z | 2013-09-21T13:03:39Z | CONTRIBUTOR | null | ```
import pandas
import numpy as np
from datetime import datetime
d = {"var1" : np.random.randint(0, 10, size=10), "var2" : np.random.randint(0, 10, size=10), "var3" : [datetime(2012, 1, 12), datetime(2011, 2, 4), datetime(2010, 2, 3), datetime(2012, 1, 12), datetime(2011, 2, 4), datetime(2012, 4, 3), datetime(2012,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2099/events | https://github.com/pandas-dev/pandas/issues/2099 | 7,753,917 | MDU6SXNzdWU3NzUzOTE3 | 2,099 | Option to exclude certain columns for plotting | {
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"closed_at": null,
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"created_at": "2015-02-26T19:29:05Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/1020496?v=4",
"events_url": "https://api.github.com/users/jorisvandenbossche/events{/privacy}",
"followers_url": "https://api.github.com/users/jorisva... | 2 | 2012-10-21T23:37:58Z | 2016-09-29T22:44:19Z | 2016-09-29T22:37:35Z | CONTRIBUTOR | null | Also maybe auto-exclude non-numerical columns by default like groupby agg?
http://stackoverflow.com/questions/13003051/how-do-i-exclude-a-few-columns-from-a-dataframe-plot
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https://api.github.com/repos/pandas-dev/pandas/issues/2100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2100/events | https://github.com/pandas-dev/pandas/issues/2100 | 7,754,338 | MDU6SXNzdWU3NzU0MzM4 | 2,100 | Odd unstack failure | {
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{
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"following_url": "https://api.github.com/users/wesm/following{/other_user}",
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"closed_at": "2012-11-18T18:54:52Z",
"closed_issues": 130,
"created_at": "2012-10-11T19:38:39Z",
"creator": {
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"followers_url": "https://api.github.com/users/wesm/... | 0 | 2012-10-22T00:32:03Z | 2012-11-01T00:20:38Z | 2012-11-01T00:20:38Z | MEMBER | null | Set day,time, smoker as index, unstack(2)
```
day,time,smoker,sum,len
Fri,Dinner,No,8.25,3
Fri,Dinner,Yes,27.03,9
Fri,Lunch,No,3.0,1
Fri,Lunch,Yes,13.68,6
Sat,Dinner,No,139.63,45
Sat,Dinner,Yes,120.77,42
Sun,Dinner,No,180.57,57
Sun,Dinner,Yes,66.82,19
Thur,Dinner,No,3.0,1
Thur,Lunch,No,117.32,44
Thur,Lunch,Yes,51.51,1... | {
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