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https://api.github.com/repos/pandas-dev/pandas/issues/3001 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3001/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3001/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3001/events | https://github.com/pandas-dev/pandas/issues/3001 | 11,849,918 | MDU6SXNzdWUxMTg0OTkxOA== | 3,001 | [io] comment option ignored in read_csv when sep provided. | {
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"f... | 5 | 2013-03-10T08:47:39Z | 2013-08-21T20:52:12Z | 2013-08-21T20:52:12Z | CONTRIBUTOR | null | ``` python
In [8]: import pandas as pd
In [9]: from StringIO import StringIO
In [10]: s = """# date, utc, jdate, orbit, sundist, sunlat, sunlon, sclk, sclat, sclon, scrad, scalt, el_cmd, az_cmd, af, orientlat, orientlon, c, det, vlookx, vlooky... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3002/events | https://github.com/pandas-dev/pandas/issues/3002 | 11,855,114 | MDU6SXNzdWUxMTg1NTExNA== | 3,002 | Weird Datetime Behaviour | {
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```
In [272]: file = StringIO("xxyyzz20100101PIE\nxxyyzz20100101GUM\nxxyyww20090101EGG\nfoofoo20080909PIE")
In [273]: df = pd.read_fwf(file, widths=[6,8,3], names=["person_id", "dt", "food"], parse_dates=["... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3003/events | https://github.com/pandas-dev/pandas/pull/3003 | 11,855,678 | MDExOlB1bGxSZXF1ZXN0NDUzNjM1Mg== | 3,003 | BUG: fixed value_counts with datetime64[ns], GH 3002 | {
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- Fixed for datetime64[ns]
- Fixed for timedelta64[ns](though the returned index
is actually int64, which is wrong, should make a TimeDeltaIndex class....someday)
- Fixed NaT display in a DateTimeIndex (was displaying funny)
```
0 2010-01-01 00:00:00
1 2010-01-01 00:00:00
2 2009-01-01 00:00:0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3004 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3004/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3004/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3004/events | https://github.com/pandas-dev/pandas/issues/3004 | 11,856,129 | MDU6SXNzdWUxMTg1NjEyOQ== | 3,004 | closest_time addition to DatetimeIndex | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2013-03-10T19:08:24Z | 2014-11-18T11:18:23Z | 2014-11-18T11:18:23Z | CONTRIBUTOR | null | What do people think of adding a `closest_time` method to the DatetimeIndex, which will behave a bit like `asof` but will return the row of the DataFrame (or element of the Series) which is closest to the given time.
I have written code to do this manually (and discussed some Pandas bugs I found while doing this in #2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3006 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3006/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3006/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3006/events | https://github.com/pandas-dev/pandas/issues/3006 | 11,859,727 | MDU6SXNzdWUxMTg1OTcyNw== | 3,006 | 0.11.0.dev-2a6ee46: MultiIndex column slicing doesn't work with tuples | {
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import numpy as np
from pandas import MultiIndex, DataFrame
factors = [('a', 'b'), 'c']
names = ['n1', 'n2']
n_factors = len(factors)
n_names = len(names)
columns = MultiIndex(levels=[factors, names],
labels=[[i for i in xrange(n_factors) for _ in xrange(n_names)], range(n_names) * n_factors])
x = DataFrame(np... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3007 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3007/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3007/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3007/events | https://github.com/pandas-dev/pandas/issues/3007 | 11,860,167 | MDU6SXNzdWUxMTg2MDE2Nw== | 3,007 | ENH: handle float32/int32 in various algos | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-03-11T00:19:27Z | 2019-01-01T17:29:08Z | 2019-01-01T17:29:07Z | CONTRIBUTOR | null | rank 1d/2d
hash table (for value counts)
lots of rolling algos
use fused types!
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https://api.github.com/repos/pandas-dev/pandas/issues/3008 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3008/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3008/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3008/events | https://github.com/pandas-dev/pandas/issues/3008 | 11,860,238 | MDU6SXNzdWUxMTg2MDIzOA== | 3,008 | Use Cython's parallelization capabilities | {
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"f... | 3 | 2013-03-11T00:24:25Z | 2013-07-22T20:00:48Z | 2013-07-22T20:00:48Z | NONE | null | 1. Cython supports parallelization using openMP.
2. ...
3. World Domination!
Perhaps a good candidate for a future GSoC.
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"followers_url": "https://api.github.com/users/jr... | 16 | 2013-03-11T02:00:02Z | 2014-09-13T23:00:04Z | 2014-09-13T22:59:30Z | CONTRIBUTOR | null | - [x] disallow operations in series that are invalid that now create timedelta64
(e.g. dt + dt, only dt - dt?) #4534
- [x] create the TimeDeltaIndex object, inherit from Int64, #8184
- [x] create associated scalar (np.timedelta64 wrapper), like
Timestamp (Timedelta?), direct wrapper might work, #8184
that forward... | {
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After that, the df seemed to be corrupted, whenever I want to print it, it kept raising a "NoneType object is not iterable error".
While it could still be a... | {
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import numpy as np
import pandas as pd
series = pd.Series([np.nan, np.nan, 1, 1, 2, 2, 3, 3, 4, 4])
bins = pd.cut(series.dropna(), 4)
# this works
series.dropna().groupby(bins).mean()
# but this results in:
# [1] 42448 segmentation fault python
series.groupby(bins).mean()
```
So, I can see why trying to group... | {
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``` python
df_bugs_activity_4w = psql.read_frame('select * from bugs_activity limit 0, 40000', conn)
```
- and the structure of df_bugs_activity_4w:
``` python
In[19]: df_bugs_activity_4w
Out[19]:
<class 'pandas.core.frame.DataFrame'>
Int64Index: 40000 entries, 0 to 39999
Data column... | {
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if the first column of a block was all-nan was not writing that row
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The issued has been solved in this patch and the test case is add in `pandas/tseries/test/test_timezones.py`
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existing frame is left in an irrecoverable state, fixes #3010
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pd.Series(pd.date_range("2000-1-1","2000-1-10"))
0 2000-01-01 00:00:00
1 2000-01-02 00:00:00
2 2000-01-03 00:00:00
3 2000-01-04 00:00:00
4 2000-01-05 00:00:00
5 2000-01-06 00:00:00
6 2000-01-07 00:00:00
7 2000-01-08 00:00:00
8 2000-01-09 00:00:00
9 2000-01-10 00:00:00
pd.Series(pd... | {
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``` python
In [64]: dates = pd.date_range('01-Apr-13','01-May-13',freq='MS')
In [65]: ts = pd.TimeSeries([1,2],dates)
In [66]: ts
Out[66]:
2013-04-01 1
2013-05-01 2
Freq: MS
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https://api.github.com/repos/pandas-dev/pandas/issues/3021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3021/events | https://github.com/pandas-dev/pandas/pull/3021 | 11,926,460 | MDExOlB1bGxSZXF1ZXN0NDU2OTY3OQ== | 3,021 | BUG: Bug in DataFrame update where non-specified values could cause dtype changes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3022/events | https://github.com/pandas-dev/pandas/issues/3022 | 11,928,182 | MDU6SXNzdWUxMTkyODE4Mg== | 3,022 | BUG: `concat` gives incorrect results for series with the same name | {
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``` python
In [42]: pd.__version__
Out[42]: '0.10.1'
In [43]: dates = pd.date_range('01-Jan-2013','01-Dec-2013', freq='MS')
...: L = pd.TimeSeries('L', dates, name='Le... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3023/events | https://github.com/pandas-dev/pandas/pull/3023 | 11,929,208 | MDExOlB1bGxSZXF1ZXN0NDU3MTEwMA== | 3,023 | Continuing #2057, s/assert/raise AssertionError/g | {
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"i... | 3 | 2013-03-12T15:25:14Z | 2014-06-17T07:37:07Z | 2013-04-23T02:10:48Z | NONE | null | #2057
Though I've never encountered usage of python -O in the wild.
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https://api.github.com/repos/pandas-dev/pandas/issues/3024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3024/events | https://github.com/pandas-dev/pandas/issues/3024 | 11,929,385 | MDU6SXNzdWUxMTkyOTM4NQ== | 3,024 | TODO: Decorate asserts with helpful messages | {
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Enhancing an assert with a meaningful message
is an easy way to make your first contribution to the
pandas project.
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https://api.github.com/repos/pandas-dev/pandas/issues/3025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3025/events | https://github.com/pandas-dev/pandas/issues/3025 | 11,929,568 | MDU6SXNzdWUxMTkyOTU2OA== | 3,025 | CLN: move update to BlockManager method (and just call from frame) | {
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"f... | 4 | 2013-03-12T15:32:24Z | 2019-02-22T19:02:58Z | null | CONTRIBUTOR | null | promotes consistency, see #3021, #3016, #9065
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https://api.github.com/repos/pandas-dev/pandas/issues/3026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3026/events | https://github.com/pandas-dev/pandas/pull/3026 | 11,932,591 | MDExOlB1bGxSZXF1ZXN0NDU3Mjk3MQ== | 3,026 | Add viewcode extension to allow for links to source in API docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3027/events | https://github.com/pandas-dev/pandas/pull/3027 | 11,937,890 | MDExOlB1bGxSZXF1ZXN0NDU3NTgzNQ== | 3,027 | BUG: Bug in user-facing take with negative indicies was incorrect | {
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note: does not solve the actual segmentation faults issue in 2892, only user facing take with neg indicies
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https://api.github.com/repos/pandas-dev/pandas/issues/3028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3028/events | https://github.com/pandas-dev/pandas/issues/3028 | 11,939,096 | MDU6SXNzdWUxMTkzOTA5Ng== | 3,028 | Fortify cython functions against segfaults (without killing perf) | {
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"f... | 15 | 2013-03-12T18:45:28Z | 2013-04-27T20:27:44Z | 2013-04-27T20:23:34Z | NONE | null | Following discussion in #2892, and segfaults in #3011, #2775, #2778 and others.
manually insert needed checks before inner loop, leaving @cython.boundscheck(False)
inplace.
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https://api.github.com/repos/pandas-dev/pandas/issues/3029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3029/events | https://github.com/pandas-dev/pandas/pull/3029 | 11,940,401 | MDExOlB1bGxSZXF1ZXN0NDU3NzE0MA== | 3,029 | ENH: safety bounds checks for take funcs | {
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"f... | 13 | 2013-03-12T19:14:26Z | 2014-06-12T13:27:50Z | 2013-07-29T05:14:12Z | CONTRIBUTOR | null | as per #3028; haven't done vb_suite yet but presumably we're ok paying the price for safety; will run to see what the hit is though
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https://api.github.com/repos/pandas-dev/pandas/issues/3030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3030/events | https://github.com/pandas-dev/pandas/issues/3030 | 11,940,782 | MDU6SXNzdWUxMTk0MDc4Mg== | 3,030 | BUG: inconsistent behavior of set_value | {
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For instance:
The following will not update the original DataFrame
```
In [99]: a = pd.DataFrame(rand(5,5), columns=['a','b','c','d','e'])
In ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3031/events | https://github.com/pandas-dev/pandas/pull/3031 | 11,943,495 | MDExOlB1bGxSZXF1ZXN0NDU3ODQ3OA== | 3,031 | ENH: add bounds-checking preamble to groupby_X cython code | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3032/events | https://github.com/pandas-dev/pandas/issues/3032 | 11,948,200 | MDU6SXNzdWUxMTk0ODIwMA== | 3,032 | HDFStore appending for mixed datatypes, including NumPy arrays | {
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"f... | 20 | 2013-03-12T21:38:22Z | 2013-03-20T15:21:32Z | 2013-03-20T15:21:32Z | NONE | null | A pandas array I have contains some image data, recorded from a camera during a behavioral experiment. A simplified version looks like this:
```
num_frames = 100
mouse = [{"velocity":np.random.random((1,))[0], \
"image":np.random.random((80,80)).astype('float32'), \
"spine":np.r_[0:80].astype('float32'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3033/events | https://github.com/pandas-dev/pandas/issues/3033 | 11,954,199 | MDU6SXNzdWUxMTk1NDE5OQ== | 3,033 | TODO: convert from `ndarray.take` to internal takes, remove platform int <-> int64 conversions? | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2013-03-13T00:13:41Z | 2016-08-17T10:21:25Z | 2016-08-17T10:21:25Z | CONTRIBUTOR | null | just throwing this out there, spliting off from discussion at #2892... right now index arrays are constantly being converted back and forth between platform int and int64 on 32-bit platforms, since `ndarray.take` requires the former but the cython routines use the latter
this can probably be removed if all `ndarray.ta... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3034/events | https://github.com/pandas-dev/pandas/pull/3034 | 11,955,554 | MDExOlB1bGxSZXF1ZXN0NDU4MzkzMQ== | 3,034 | BUG: Formatting of an index that has nan was inconsistent or wrong | {
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(would fill from last value), closes GH #2850
Also changed in test_format.py/test_index
1) printing of 'nan' rather than the na_rep (NaN) is inconcsistent
with everywhere else
2) a 'None' in the index is defacto treated as NaN, is this wrong?
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https://api.github.com/repos/pandas-dev/pandas/issues/3035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3035/events | https://github.com/pandas-dev/pandas/issues/3035 | 11,967,877 | MDU6SXNzdWUxMTk2Nzg3Nw== | 3,035 | BUG: groupby segfaults when passed a function of a timestamp which raises a TypeError | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2013-03-13T10:43:07Z | 2013-03-17T15:33:15Z | 2013-03-17T15:33:15Z | CONTRIBUTOR | null | It _is_ a dumb thing to do, but pandas probably shouldn't segfault regardless:
``` python
In [1]: dates = pd.date_range('01-Jan-2013', periods=12, freq='MS')
...: ts = pd.TimeSeries(randn(12), index=dates)
In [2]: ts.groupby(lambda key: key[0:4]).first()
It seems the kernel died unexpectedly. Use 'Restart kernel' ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3036/events | https://github.com/pandas-dev/pandas/pull/3036 | 11,969,784 | MDExOlB1bGxSZXF1ZXN0NDU5MDUwOA== | 3,036 | DOC: added cookbook.rst to main docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3037/events | https://github.com/pandas-dev/pandas/issues/3037 | 11,987,146 | MDU6SXNzdWUxMTk4NzE0Ng== | 3,037 | ENH: should we relax frame/setitem for non-numerics | {
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that is mixed dtype an exception is raised
this is easily relaxed in the int/float case (and will leave/upcast the int columns as needed)
```
In [68]: df
Out[68]:
0 1 2 3 4 y
35 NaN NaN NaN NaN ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3038/events | https://github.com/pandas-dev/pandas/pull/3038 | 11,989,512 | MDExOlB1bGxSZXF1ZXN0NDYwMDY2Nw== | 3,038 | Fix some pprint_thing warts | {
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"i... | 9 | 2013-03-13T19:26:34Z | 2014-06-19T09:13:11Z | 2013-04-23T02:11:03Z | NONE | null | **Part 1**
currently:
``` python
In [4]: from pandas.core.common import pprint_thing as pp_t
...: pp_t([1,None])
Out[4]: u'[1, ]'
```
after PR:
``` python
In [13]: from pandas.core.common import pprint_thing as pp_t
...: pp_t([1,None])
Out[13]: u'[1, None]'
```
and jeff fixed index NaN printing in #3034, at ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3039/events | https://github.com/pandas-dev/pandas/issues/3039 | 11,991,521 | MDU6SXNzdWUxMTk5MTUyMQ== | 3,039 | ENH: Change resample to default to returning GroupBy instead of mean when how=None | {
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Do people use the default behavior outside of quick demo-ing purposes?
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https://api.github.com/repos/pandas-dev/pandas/issues/3040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3040/events | https://github.com/pandas-dev/pandas/pull/3040 | 11,995,910 | MDExOlB1bGxSZXF1ZXN0NDYwNDE0NQ== | 3,040 | BUG: Unstack of a frame with no nans would always cause dtype upcasting (GH #2929) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3041 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3041/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3041/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3041/events | https://github.com/pandas-dev/pandas/issues/3041 | 11,997,714 | MDU6SXNzdWUxMTk5NzcxNA== | 3,041 | BUG: combine_first changing dtypes of untouched columns | {
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groupby and first/last too
www.stackoverflow.com/questions/15349795/pandas-dataframe-combine-first-and-update-methods-have-strange-behavior
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``` python
In [112]: dt
Out[112]: datetime.datetime(2011, 4, 16, 0, 0)
In [113]: pd.Timestamp.fromordinal(dt.toordinal())
Exception AttributeError: "'int' object has no attribu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3043 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3043/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3043/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3043/events | https://github.com/pandas-dev/pandas/pull/3043 | 12,000,450 | MDExOlB1bGxSZXF1ZXN0NDYwNjYxOA== | 3,043 | BUG: frame combine_first where non-specified values could cause dtype changes (#3041) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3044 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3044/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3044/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3044/events | https://github.com/pandas-dev/pandas/pull/3044 | 12,002,298 | MDExOlB1bGxSZXF1ZXN0NDYwNzE2Nw== | 3,044 | BUG: Bug in groupby with first/last where dtypes could change (GH3041_) | {
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DOC: docstring updates in core/common.py for _possibily_cast_to_timedelta
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https://api.github.com/repos/pandas-dev/pandas/issues/3045 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3045/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3045/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3045/events | https://github.com/pandas-dev/pandas/pull/3045 | 12,003,055 | MDExOlB1bGxSZXF1ZXN0NDYwNzU0OA== | 3,045 | Access row/col data via attributes | {
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- Namespaces rows/cols as `df.r.<row label>`, `df.c.<col label>`
- get/set, multindex in both axes
- Designates df.<colname> (75310383) for future removal.
- No perf hit on attribute lookup, if you don't use it (raised in #1904).
Open issues:
- .r and .c (which i like), don't generalize to dim>2. U... | {
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to them since 0.10.0.
Isn't it time to remove them?
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- if dataframe had a column which had been recognized as 'datetime64[ns]' type, calling the dataframe's fillna function would cause an expection.
``` python
In [149]: df_t1 = DataFrame({'int': [1, 2, None], 'date_obj': [datetime.datetime(2012, 1, 1), datetime.datetime(2012, 1, 1), None... | {
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previously would failed if mixed_types was true,
so mixed int/float would fail
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https://api.github.com/repos/pandas-dev/pandas/issues/3051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3051/events | https://github.com/pandas-dev/pandas/pull/3051 | 12,017,673 | MDExOlB1bGxSZXF1ZXN0NDYxNDU4OQ== | 3,051 | DOC: more examples | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3053/events | https://github.com/pandas-dev/pandas/issues/3053 | 12,041,593 | MDU6SXNzdWUxMjA0MTU5Mw== | 3,053 | BUG: loc is not expanding an integer slice as labels | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3054 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3054/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3054/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3054/events | https://github.com/pandas-dev/pandas/issues/3054 | 12,043,338 | MDU6SXNzdWUxMjA0MzMzOA== | 3,054 | optimize to_csv if formatting isn't needed | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3055 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3055/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3055/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3055/events | https://github.com/pandas-dev/pandas/pull/3055 | 12,044,049 | MDExOlB1bGxSZXF1ZXN0NDYyODUzNA== | 3,055 | BUG: loc was failing on integer slices (incorrect implementation), GH 3053 | {
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see also #2904
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https://api.github.com/repos/pandas-dev/pandas/issues/3056 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3056/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3056/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3056/events | https://github.com/pandas-dev/pandas/issues/3056 | 12,045,510 | MDU6SXNzdWUxMjA0NTUxMA== | 3,056 | BUG: Add DataFrame column with dot notation fails | {
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I often create a new column by mapping an old column. If I use dot notation with the creation of the new column the column is created and is accessible using dot notation, but it isn't listed as a column and can't be indexed the normal way (i.e. df['idx... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3057 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3057/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3057/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3057/events | https://github.com/pandas-dev/pandas/issues/3057 | 12,045,687 | MDU6SXNzdWUxMjA0NTY4Nw== | 3,057 | Partial Selection on MultiIndex: Control what index depth is returned. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3058 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3058/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3058/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3058/events | https://github.com/pandas-dev/pandas/pull/3058 | 12,048,962 | MDExOlB1bGxSZXF1ZXN0NDYzMTEwMQ== | 3,058 | BUG: Handle concat of series with same name, GH2972 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3059/events | https://github.com/pandas-dev/pandas/pull/3059 | 12,049,172 | MDExOlB1bGxSZXF1ZXN0NDYzMTE5OQ== | 3,059 | ENH: improve performance of df.to_csv GH3054 | {
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Following [SO question](http://stackoverflow.com/questions/15417574) mentioned in #3054:
``` python
In [7]: def df_to_csv(df,fname):
...: fh=open(fname,'w')
...: fh.write(','.join(df.columns) + '\n')
...: for row in df.itertuples(index=False):
...: sl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3060/events | https://github.com/pandas-dev/pandas/pull/3060 | 12,052,519 | MDExOlB1bGxSZXF1ZXN0NDYzMjgyOQ== | 3,060 | ENH: support for nanosecond time in offset and period | {
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This pull request fixes handling of nanosecond times in periods and offsets. In addition it simplifies the internal processing of intraday periods.
``` python
In []: pd.date_range('2013-01-01', periods=5, freq=pd.offsets.Nano(5))
Out[]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-01-01 00:00:00, ... | {
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Below is a link to some tutorials I put together for new pandas users, feel free to add them where you see fit.
https://bitbucket.org/hrojas/learn-pandas
David
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https://api.github.com/repos/pandas-dev/pandas/issues/3062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3062/events | https://github.com/pandas-dev/pandas/issues/3062 | 12,080,175 | MDU6SXNzdWUxMjA4MDE3NQ== | 3,062 | BUG: read_csv not correctly infering datetime64[ns] with embedded nan/NaT | {
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"i... | 1 | 2013-03-15T20:30:26Z | 2013-05-16T13:38:33Z | 2013-05-16T13:38:33Z | CONTRIBUTOR | null | This is known, but putting up for reference
easy (after reading) workaround, but could be done inilne
```
In [28]: df = pd.DataFrame(dict({
'A' : np.asarray(range(10),dtype='float64'),
'B' : pd.Timestamp('20010101') }))
In [29]: df.ix[3:6,:] = np.nan
In [30]: df
Out[30]:
A B
0 0 2001-01... | {
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https://github.com/pydata/pandas/issues/2756
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- small fix in com.mask_missing to guarantee that a bool ndarray is returned even in the case of a string comparison with a numeric array, (which for some reason numpy returns a single, non-ndar... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3066/events | https://github.com/pandas-dev/pandas/issues/3066 | 12,096,079 | MDU6SXNzdWUxMjA5NjA3OQ== | 3,066 | Add df.split with predicate function | {
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Here's one for you, jeff.
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https://api.github.com/repos/pandas-dev/pandas/issues/3068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3068/events | https://github.com/pandas-dev/pandas/pull/3068 | 12,099,676 | MDExOlB1bGxSZXF1ZXN0NDY1NDU0MQ== | 3,068 | BUG: fixes in replace to deal with block upcasting | {
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- _maybe_upcast_putmask now has the keyword, change to provide inline putmask changes to an object (series)
- apply in BlockManager now has a keyword, filter to allow acting on only those items contained in the filter (if supplied)
CLN:
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https://travis-ci.org/y-p/pandas/builds/5559816
https://travis-ci.org/pydata/pandas/builds/5558843
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In [17]: s=pd.date_range("2001-1-1", periods=12)
In [20]: ts['2001']
Out[20]:
2001-01-01 0
2001-01-02 1
2001-01-03 2
2001-01-04 3
2001-01-05 4
2001-01-06 5
2001-01-07 6
2001-01-08 7
2001-01-09 8
2001-01-10 9
2001-01-11 10
2001-01-12 11
Freq: D, dtype: int64
In ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3071/events | https://github.com/pandas-dev/pandas/issues/3071 | 12,103,696 | MDU6SXNzdWUxMjEwMzY5Ng== | 3,071 | read_csv(date_parser=x) fails because datetime.datetime has no dtype | {
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from cStringIO import StringIO
log_file = StringIO(
'posix_timestamp,elapsed,sys,user,queries,query_time,rows,'
'accountid,userid,contactid,level,silo,method\n'
'1343103150,0.062353,0,4,6,0.01690,3,'
'12345,1,-1,3,invoice_InvoiceResource,search\n'
)
import pandas as pd
from datetime ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3072/events | https://github.com/pandas-dev/pandas/pull/3072 | 12,104,115 | MDExOlB1bGxSZXF1ZXN0NDY1NjA5NA== | 3,072 | BUG: replace with a dict misbehaving (GH 3064), due to incorrect filtering | {
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Everything's there - the window is just initialized to the ... | {
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Searching for pandas
Reading http://pypi.python.org/simple/pandas/
Reading http://pandas.pydata.org
Reading http://pandas.sourceforge.net
Download error: [Errno 60] Operation timed out -- Some packages may not be found!
Best match: pandas 0.10.1
Downloading http://pypi.python.org/packages/source/p/pan... | {
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``` python
s={'axes.axisbelow': True,
'axes.color_cycle': ['#348ABD',
'#7A68A6',
'#A60628',
'#467821',
'#CF4457',
'#188487',
'#E24A33'],
'axes.edgecolor': '#bcbcbc',
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https://api.github.com/repos/pandas-dev/pandas/issues/3076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3076/events | https://github.com/pandas-dev/pandas/issues/3076 | 12,113,182 | MDU6SXNzdWUxMjExMzE4Mg== | 3,076 | ENH: add iterator support for select in HDFStore | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3077 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3077/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3077/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3077/events | https://github.com/pandas-dev/pandas/issues/3077 | 12,113,283 | MDU6SXNzdWUxMjExMzI4Mw== | 3,077 | ENH: add append keyword to csv writer for easy multiple call appending | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3078/events | https://github.com/pandas-dev/pandas/pull/3078 | 12,117,832 | MDExOlB1bGxSZXF1ZXN0NDY2MDg4MQ== | 3,078 | ENH: support iteration on returned results in select and select_as_multiple in HDFStore | {
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`chunksize=number_in_a_chunk`, (default is 50,000) rows are
provided to support iteration on `select` and `select_as_multiple` results
DOC and TST included
closes #3076
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https://api.github.com/repos/pandas-dev/pandas/issues/3080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3080/events | https://github.com/pandas-dev/pandas/pull/3080 | 12,122,019 | MDExOlB1bGxSZXF1ZXN0NDY2MjU0OA== | 3,080 | Int bug | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3081/events | https://github.com/pandas-dev/pandas/issues/3081 | 12,132,246 | MDU6SXNzdWUxMjEzMjI0Ng== | 3,081 | Diff on datetime64 column evoking "ValueError: Could not convert object to NumPy datetime" | {
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Eg:
``` python
In [3]: t = np.arange(start='2012-01-01 00:00:01', stop='2012-01-01 00:00:10', d
type='datetime64')
In [4]: df = pd.DataFrame(np.arange(len(t)))
In [5]: df['t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3082/events | https://github.com/pandas-dev/pandas/issues/3082 | 12,141,438 | MDU6SXNzdWUxMjE0MTQzOA== | 3,082 | Daily data resampling default behavior | {
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... | closed | false | null | [] | null | 1 | 2013-03-18T16:26:32Z | 2013-03-18T16:33:53Z | 2013-03-18T16:33:53Z | MEMBER | null | from @dhirschfeld
I just ran across the bug described in issue #3020 (https://github.com/pydata/pandas/issues/3020) as our unit-tests started failing after upgrading pandas.
I did a git bisection and found the first bad commit to be 9deda9e6:
```
9deda9e687915017cc9db7698504ead1f89ead9e is the first bad commit
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https://api.github.com/repos/pandas-dev/pandas/issues/3083 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3083/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3083/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3083/events | https://github.com/pandas-dev/pandas/issues/3083 | 12,148,522 | MDU6SXNzdWUxMjE0ODUyMg== | 3,083 | Integer partial slicing on multiindex bug | {
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```
In [9]: import pandas as pd
In [10]: idx = pd.MultiIndex.from_arrays([[2011,2011,2012,2012,2013], [1,2,1,2,1]])
In [11]: ser = pd.Series(randn(len(idx)), idx)
In [12]: ser
Out[12]:
2011 1 -0.485310
2 -0.679528
2012 1 1.089995
2 -0.1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3084/events | https://github.com/pandas-dev/pandas/pull/3084 | 12,149,641 | MDExOlB1bGxSZXF1ZXN0NDY3NjQxNQ== | 3,084 | Added count of columns when DataFrame is printed out | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3085 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3085/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3085/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3085/events | https://github.com/pandas-dev/pandas/pull/3085 | 12,152,861 | MDExOlB1bGxSZXF1ZXN0NDY3NzgzNw== | 3,085 | Resample docstring default values changed | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3086 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3086/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3086/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3086/events | https://github.com/pandas-dev/pandas/issues/3086 | 12,155,249 | MDU6SXNzdWUxMjE1NTI0OQ== | 3,086 | ENH: tokenize as a str function | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3087/events | https://github.com/pandas-dev/pandas/issues/3087 | 12,174,559 | MDU6SXNzdWUxMjE3NDU1OQ== | 3,087 | BUG: resample doesn't work for non-numeric types | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2013-03-19T10:43:47Z | 2018-07-06T23:03:46Z | 2018-07-06T23:03:36Z | CONTRIBUTOR | null | After discussion on the ML it was decided the below function _should_ work in pandas.
It fails on the current master (0.11.0.dev-308beb1) with 32bit Python 2.7 on windows
``` python
def test_resample_nonnumeric():
import numpy as np
import pandas as pd
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https://api.github.com/repos/pandas-dev/pandas/issues/3088 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3088/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3088/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3088/events | https://github.com/pandas-dev/pandas/pull/3088 | 12,182,406 | MDExOlB1bGxSZXF1ZXN0NDY5MjkyMQ== | 3,088 | ENH: better errors message on storage failure in HDFStore | {
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Bad news:
```
Results:
t_head t_baseline ratio
name
reindex_frame_level_reindex 1.1343 0.7571... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3090/events | https://github.com/pandas-dev/pandas/issues/3090 | 12,187,509 | MDU6SXNzdWUxMjE4NzUwOQ== | 3,090 | Remove old csv_helper code before releasing 0.12 | {
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the old code is still available via the `engine=python` kwd as a failsafe
against bugs discovered after release.
If all is well come 0.12 time, 7776128 can be revert and dead
code eliminated.
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https://api.github.com/repos/pandas-dev/pandas/issues/3091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3091/events | https://github.com/pandas-dev/pandas/issues/3091 | 12,193,075 | MDU6SXNzdWUxMjE5MzA3NQ== | 3,091 | Pandas HDFStore conflicts with osgeo library, but works fine if osgeo is imported after HDFStore was used | {
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> > > store = pd.HDFStore(fn... | {
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"i... | 4 | 2013-03-19T18:25:16Z | 2013-05-02T14:52:43Z | 2013-05-02T14:52:43Z | CONTRIBUTOR | null | see discussion in #3059, #3095, also see #1943, #3102
This only applies with a non-unique column index
Currently if duplicate columns across dtypes there are issues in getting the correct block given a column name.
I think it is possible, though non-trivial, to instead have a positional map from the frame columns to... | {
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was causing a perf regression (see #3089)
#3033 will 'fix' this as will create a new internal routine to do takes
(and make DataFrame/take) user facing only
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Traceback (most recent call last):
File "C:\Python27\lib\site-packages\pandas\tests\test_series.py", line 1752, i
n test_operators_timedelta64
result = resultb + df['A']
File "C:\Python27\lib\site-packages\pandas\core\series.py", line 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3095/events | https://github.com/pandas-dev/pandas/issues/3095 | 12,196,758 | MDU6SXNzdWUxMjE5Njc1OA== | 3,095 | Allow duplicate columns in df.to_csv | {
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See also #3092
- allow dupe columns when they are in the same block/dtype
- Perhaps figure out a way to handle that case as well.
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https://api.github.com/repos/pandas-dev/pandas/issues/3096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3096/events | https://github.com/pandas-dev/pandas/issues/3096 | 12,196,798 | MDU6SXNzdWUxMjE5Njc5OA== | 3,096 | Make IntArrayFormatter and all upstream users able to specify formatting for integer types | {
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"f... | 3 | 2013-03-19T19:12:20Z | 2014-05-29T06:26:58Z | 2014-05-29T06:26:58Z | CONTRIBUTOR | null | This was found while attempting to add thousand separators (commas) on a Series.to_string() call. It looks like you can specify the format for floats, but not for integers.
It's impossible right now. I could transform the Series instance into a FP representation, but that is the wrong thing to do.
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https://api.github.com/repos/pandas-dev/pandas/issues/3097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3097/events | https://github.com/pandas-dev/pandas/issues/3097 | 12,199,008 | MDU6SXNzdWUxMjE5OTAwOA== | 3,097 | Build Issue | {
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`git bisect` between `HEAD` and the SHA1 of the 10.1 release (builds correctly) shows that 015447a introduces this bug. What's strange is t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3098/events | https://github.com/pandas-dev/pandas/pull/3098 | 12,202,698 | MDExOlB1bGxSZXF1ZXN0NDcwMzIzOQ== | 3,098 | BLD: fix time module import conflict | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3099/events | https://github.com/pandas-dev/pandas/issues/3099 | 12,204,875 | MDU6SXNzdWUxMjIwNDg3NQ== | 3,099 | Fix setup.py cython cache hack for fast all-py versions testing with tox | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-03-19T22:15:02Z | 2013-03-20T18:55:45Z | 2013-03-20T18:55:28Z | NONE | null | This looks like it broke during the cython refactor a couple of months ago,
which is a shame, because it allowed to test python-only (no pyx changes)
changes on py26/27/32/33 in about a minute, where travis takes about 15.
There's also the detox project for doing what tox_prll does, but it seems
to have diverged from ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3100/events | https://github.com/pandas-dev/pandas/issues/3100 | 12,208,107 | MDU6SXNzdWUxMjIwODEwNw== | 3,100 | ENH: support diff with datetime64[ns] on series/frame | {
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"closed_at": "2013-07-24T23:25:44Z",
"closed_issues": 410,
"created_at": "2013-04-30T04:12:30Z",
"creator": null,
"description": "Major release (formerly 0.11.1 bugfix but has outgrown its britches)",
"due_on": "2013-07-05T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/22",
"i... | 1 | 2013-03-19T23:56:04Z | 2013-06-14T16:14:45Z | 2013-05-09T18:53:09Z | CONTRIBUTOR | null | see #2984
workaround right now is
```
In [4]: s = pd.Series(pd.date_range('20130102',periods=5))
In [5]: s
Out[5]:
0 2013-01-02 00:00:00
1 2013-01-03 00:00:00
2 2013-01-04 00:00:00
3 2013-01-05 00:00:00
4 2013-01-06 00:00:00
dtype: datetime64[ns]
This is the workaround right now
In [6]: s-s.shift(1)
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