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https://api.github.com/repos/pandas-dev/pandas/issues/7306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7306/events | https://github.com/pandas-dev/pandas/issues/7306 | 34,756,431 | MDU6SXNzdWUzNDc1NjQzMQ== | 7,306 | .quantile ignores axis parameter | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-06-02T09:13:36Z | 2014-06-11T15:10:21Z | 2014-06-11T15:10:21Z | CONTRIBUTOR | null | ```
In [10]: a=TS.DataFrame(np.random.random((10,3)))
In [11]: a
Out[11]:
0 1 2
0 0.293227 0.489837 0.389012
1 0.070556 0.230420 0.259219
2 0.105651 0.026292 0.737140
3 0.859360 0.092215 0.306204
4 0.377702 0.452027 0.409900
5 0.801594 0.123576 0.138083
6 0.810958 0.827973 0.363331
7 0.325093 0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7307/events | https://github.com/pandas-dev/pandas/issues/7307 | 34,762,433 | MDU6SXNzdWUzNDc2MjQzMw== | 7,307 | Support or default to less detailed datetime64 | {
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"f... | 38 | 2014-06-02T10:54:18Z | 2020-04-03T03:52:25Z | null | NONE | null | Hi,
I regularly run into issues where I have dates that fall outside of Pandas's datetime standards. Quite a few data sources have defaults such as "9999-12-31" and stuff like that, leading to issues in pandas.
This is because Pandas defaults to nanoseconds where the time span is quite limited.
See: http://docs.scipy... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7308/events | https://github.com/pandas-dev/pandas/issues/7308 | 34,773,915 | MDU6SXNzdWUzNDc3MzkxNQ== | 7,308 | BUG: DataFrame quantile with only datetime dtypes should provide better error message | {
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... | 4 | 2014-06-02T13:48:11Z | 2021-04-11T04:41:27Z | null | CONTRIBUTOR | null | ``` python
In [41]: df = DataFrame({"A": [1, 2, 3], "B": [2, 3, 4]})
In [42]: df['C'] = pd.date_range('2014-01-01', periods=3, freq='m')
In [43]: df
Out[43]:
A B C
0 1 2 2014-01-31
1 2 3 2014-02-28
2 3 4 2014-03-31
In [44]: df[['C']].quantile(.5)
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https://api.github.com/repos/pandas-dev/pandas/issues/7310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7310/events | https://github.com/pandas-dev/pandas/issues/7310 | 34,779,770 | MDU6SXNzdWUzNDc3OTc3MA== | 7,310 | BUG: inferred_freq results in None for eastern hemispheres timezones | {
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"description": "DateOffsets",
"id": ... | closed | false | null | [] | {
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```
dates = ['2000-01-31', '2000-02-29', '2000-03-31', '2000-04-30']
pd.DatetimeIndex(dates).inferred_freq
# M
pd.DatetimeIndex(dates, tz='US/Eastern').inferred_freq
# M
pd.DatetimeIndex(dates, tz='Mexico/General').inferred_freq
# M
pd.DatetimeIndex(dates, tz='Asia/Tokyo').inferred_freq
# None
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https://api.github.com/repos/pandas-dev/pandas/issues/7312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7312/events | https://github.com/pandas-dev/pandas/pull/7312 | 34,780,111 | MDExOlB1bGxSZXF1ZXN0MTY2MDM0MTg= | 7,312 | BUG: quantile ignores axis kwarg | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2014-06-02T14:54:00Z | 2014-06-13T20:29:03Z | 2014-06-11T15:10:21Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas/issues/7306
We may want to wait on this till later today while I figure out what will happen in https://github.com/pydata/pandas/issues/7308
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https://api.github.com/repos/pandas-dev/pandas/issues/7313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7313/events | https://github.com/pandas-dev/pandas/pull/7313 | 34,782,354 | MDExOlB1bGxSZXF1ZXN0MTY2MDQ4MzM= | 7,313 | BUG: single group series should preserve group name | {
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PR fixes that.
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https://api.github.com/repos/pandas-dev/pandas/issues/7314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7314/events | https://github.com/pandas-dev/pandas/issues/7314 | 34,786,492 | MDU6SXNzdWUzNDc4NjQ5Mg== | 7,314 | Dropping non-finite entries | {
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"followers_url": "https://api.github.com/users/jr... | 19 | 2014-06-02T15:58:40Z | 2016-10-12T23:04:53Z | 2014-06-03T00:44:37Z | CONTRIBUTOR | null | I have been looking for a solution for this for a long time. I tried the ideas in the following threads (with the latest Pandas):
1. [Keep finite entries only in Pandas](http://stackoverflow.com/questions/22799208/keep-finite-entries-only-in-pandas)
2. [Row filtering so that we only keep finite entries](http://stackove... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7315/events | https://github.com/pandas-dev/pandas/pull/7315 | 34,795,382 | MDExOlB1bGxSZXF1ZXN0MTY2MTI2MzE= | 7,315 | BUG: isnull doesn't properly check for inf when requested | {
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related #7314
maybe something like this
```
df.get_for_dtypes(types)
```
types could be a list of string/dtypes or a dtype/string
e.g.
```
'float64'
['float']
['float32','float64','object']
['float',np.dtype('bool')]
['numeric']
['datetime','timedelta']
```
are possible values
pretty easy to imple... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7317/events | https://github.com/pandas-dev/pandas/pull/7317 | 34,827,697 | MDExOlB1bGxSZXF1ZXN0MTY2MzI3NjU= | 7,317 | CLN/DOC: Remove trailing whitespace from .rst files in doc folder | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7319 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7319/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7319/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7319/events | https://github.com/pandas-dev/pandas/issues/7319 | 34,861,319 | MDU6SXNzdWUzNDg2MTMxOQ== | 7,319 | Conversion string values to float/int | {
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MyDataFrame['Number Column'] = MyDataFrame['String Column'].apply(Dictionary.get)
In the figure attached , String Column consists Fruit names
Number Column consists corresponding numbers for fruit name... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7320 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7320/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7320/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7320/events | https://github.com/pandas-dev/pandas/pull/7320 | 34,863,730 | MDExOlB1bGxSZXF1ZXN0MTY2NTI4ODc= | 7,320 | BUG: Revisit Index.delete preserves freq | {
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CC: @rosnfeld
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https://api.github.com/repos/pandas-dev/pandas/issues/7321 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7321/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7321/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7321/events | https://github.com/pandas-dev/pandas/issues/7321 | 34,865,463 | MDU6SXNzdWUzNDg2NTQ2Mw== | 7,321 | Indexing dataframe with [col1, col2] where col2 is tuple | {
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] | closed | false | null | [] | null | 4 | 2014-06-03T13:57:33Z | 2014-06-03T14:48:13Z | 2014-06-03T14:05:01Z | CONTRIBUTOR | null | I came upon this behavior which seems illogical. With a DataFrame containing columns consisting of both scalar values it is not possible to select a column subset with a list like [col1, col2], where col2 is a tuple. Could this be expected behavior?
Making a pd.Index of the list beforehand works alright.
Using pandas v... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7322 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7322/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7322/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7322/events | https://github.com/pandas-dev/pandas/pull/7322 | 34,874,565 | MDExOlB1bGxSZXF1ZXN0MTY2NTk1OTA= | 7,322 | BUG: xlim on plots with shared axes (GH2960, GH3490) | {
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Fixes #3490.
Summary of changes:
- for irregular timeseries plots, considers all lines already plotted when calculating xlim
- for plots with secondary_y axis, considers lines on both left and right axes when calculating xlim. There are tests for non-timeseries plots (always worked, but now a test to conf... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7323 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7323/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7323/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7323/events | https://github.com/pandas-dev/pandas/pull/7323 | 34,874,908 | MDExOlB1bGxSZXF1ZXN0MTY2NTk4MDU= | 7,323 | UNI/HTML/WIP: add encoding argument to read_html | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7324 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7324/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7324/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7324/events | https://github.com/pandas-dev/pandas/issues/7324 | 34,879,268 | MDU6SXNzdWUzNDg3OTI2OA== | 7,324 | read_sql delegation dependent on occurence of 'select' in query | {
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if 'select' in sql.lower():
```
there's a bug in read_sql line 377 in pandas.io.sql. the problem is that if your query doesn't contain the word 'select', it will not be run. so if you want to exec a stored proc, e.g., it doesn't work.
however, if you override this check, then it executes stored procs succe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7325/events | https://github.com/pandas-dev/pandas/issues/7325 | 34,908,127 | MDU6SXNzdWUzNDkwODEyNw== | 7,325 | BUG: division misbehaving | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-06-03T21:52:22Z | 2014-06-04T00:03:36Z | 2014-06-04T00:03:36Z | CONTRIBUTOR | null | Attempting to reduce [this question](http://stackoverflow.com/questions/24024928/division-in-pandas-multiple-columns-by-another-column-of-the-same-dataframe) to a minimal test case produced:
```
>>> df = pd.DataFrame(np.arange(3*2).reshape((3,2)))
>>> df
0 1
0 0 1
1 2 3
2 4 5
>>> df.add(df[0], axis='index')
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https://api.github.com/repos/pandas-dev/pandas/issues/7326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7326/events | https://github.com/pandas-dev/pandas/pull/7326 | 34,909,436 | MDExOlB1bGxSZXF1ZXN0MTY2ODEzNDY= | 7,326 | BUG: fix read_sql delegation for queries without select statement (GH7324) | {
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The `if 'select' in ...'` check was introduced for mysql legacy compatibility, but introduced problem if the query did not contain a select statement (eg a stored procedure). This should solve this, and passes the test suite (locally).
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https://api.github.com/repos/pandas-dev/pandas/issues/7327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7327/events | https://github.com/pandas-dev/pandas/pull/7327 | 34,912,882 | MDExOlB1bGxSZXF1ZXN0MTY2ODMyODY= | 7,327 | BUG: already mixed indexes should not sort | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7328/events | https://github.com/pandas-dev/pandas/pull/7328 | 34,916,350 | MDExOlB1bGxSZXF1ZXN0MTY2ODQ3MjM= | 7,328 | BUG: Bug in broadcasting with .div, integer dtypes and divide-by-zero (GH7325) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7329/events | https://github.com/pandas-dev/pandas/issues/7329 | 34,919,924 | MDU6SXNzdWUzNDkxOTkyNA== | 7,329 | BUG: v14.0 Error when unpickling DF with non-unique column multiindex | {
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>>> d = pandas.Series({('1ab','2'): 3, ('1ab',3):4}, )
>>> d = pandas.concat([d,d])
>>> d = pandas.concat([d,d], axis=1)
>>> pickle.loads(pickle.dumps(d))
0 1
1ab 3 4 4
2 3 3
3 4 4
2 3 3
>>> pickle.loads(pickle.dumps(d.T))
Traceback (most recent call last):
File "<stdin>", line 1, in ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7330/events | https://github.com/pandas-dev/pandas/issues/7330 | 34,923,578 | MDU6SXNzdWUzNDkyMzU3OA== | 7,330 | test_integer_col_names: compatibility with wheezy sqlalchemy? | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-06-04T02:35:55Z | 2014-06-14T11:02:07Z | 2014-06-14T11:02:07Z | CONTRIBUTOR | null | ```
======================================================================
ERROR: test_integer_col_names (pandas.io.tests.test_sql.TestSQLApi)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/buildslave/nd-bb-slave-sparc-wheezy/pandas-py2_7-wheezy-s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7331/events | https://github.com/pandas-dev/pandas/issues/7331 | 34,924,282 | MDU6SXNzdWUzNDkyNDI4Mg== | 7,331 | merge does not preserve order of data frame when left key has duplicate values | {
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import pandas as pd
dates = [ 20140101, 20140102, 20140103]
states = [ "CA", "NY", "CA"]
x = pd.DataFrame({ 'dates' : dates, 'states' : states })
#y = pandas.DataFrame({ 'state' : [ 'CA', 'OR' ], 'value' : [ 1, 2]})
y = pd.DataFrame({ 'states' : [ "CA", "NY" ], 'stateid' : [ 1, 2]})
z = pd.merge(x, y, how='left... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7332/events | https://github.com/pandas-dev/pandas/issues/7332 | 34,931,590 | MDU6SXNzdWUzNDkzMTU5MA== | 7,332 | strange dtype behaviour as function of series length | {
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"followers_url": "https://api.github.com/users/jr... | 12 | 2014-06-04T05:47:55Z | 2014-06-04T20:30:39Z | 2014-06-04T20:30:39Z | CONTRIBUTOR | null | Found when tracking down what was going on with [this question](http://stackoverflow.com/questions/24028281/pandas-series-operations-very-slow-after-upgrade#comment37041169_24028281) about performance.
First the case that makes sense:
```
>>> s = pd.Series(range(10**3), dtype=np.int32)
>>> s.dtype
dtype('int32')
>>> ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7333/events | https://github.com/pandas-dev/pandas/issues/7333 | 34,936,804 | MDU6SXNzdWUzNDkzNjgwNA== | 7,333 | BUG: Series.map(dict) doesn't work when dict keys are tuples of length 1? | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-06-04T07:49:00Z | 2014-06-05T17:57:28Z | 2014-06-05T17:57:28Z | CONTRIBUTOR | null | I ran across an odd issue today where some analysis code that was working pre-pandas 0.14.0 started failing. The issue seems to be specific to trying to use `Series.map(some_dict)` when the dict keys (and values in the series) are single item tuples. Code to demonstrate the issue:
``` python
import pandas as pd
pd.ver... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7334 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7334/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7334/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7334/events | https://github.com/pandas-dev/pandas/pull/7334 | 34,950,851 | MDExOlB1bGxSZXF1ZXN0MTY3MDM1NjI= | 7,334 | ENH group attribute access for HDFStore | {
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- `store.set_attrs(key, **attrs)` to set attributes of a group
- `store.get_attrs(key, attrs, default)` returns namedtuple with values from a groups attributes or single attribute directly if attrs is specified as a single string
- `to_hdf`, `put` and `append` have optional `attrs=dict(...)` argument to update... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7335 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7335/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7335/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7335/events | https://github.com/pandas-dev/pandas/issues/7335 | 34,956,543 | MDU6SXNzdWUzNDk1NjU0Mw== | 7,335 | TST: option retrieval failures | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-06-04T13:05:20Z | 2014-06-08T01:35:01Z | 2014-06-08T01:35:01Z | CONTRIBUTOR | null | https://travis-ci.org/pydata/pandas/jobs/26755159
need a better skipping mechanism
```
======================================================================
ERROR: test_get_call_data_warning (pandas.io.tests.test_data.TestOptionsWarnings)
----------------------------------------------------------------------
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https://api.github.com/repos/pandas-dev/pandas/issues/7336 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7336/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7336/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7336/events | https://github.com/pandas-dev/pandas/pull/7336 | 34,957,934 | MDExOlB1bGxSZXF1ZXN0MTY3MDc3NzU= | 7,336 | BUG: Series.map fails when keys are tuples of different lengths (#7333) | {
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"followers_url": "https://api.github.com/users/jr... | 8 | 2014-06-04T13:22:59Z | 2014-06-16T14:59:08Z | 2014-06-05T17:57:28Z | CONTRIBUTOR | null | closes #7333 seems to be due to the new behaviour of `Series`, which will automatically create a MultiIndex out of the dict's keys when creating a series to map the values. The MultiIndex doesn't match the values for the shorter tuples, so they fail to map.
The fix is fairly simple, just pass the dict keys explicitly ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7337 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7337/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7337/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7337/events | https://github.com/pandas-dev/pandas/issues/7337 | 34,960,616 | MDU6SXNzdWUzNDk2MDYxNg== | 7,337 | TST: dateutil testing failures on windows | {
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(I am just posting 27-64, but failing on most windows versions). prob the same error.
I think has to do with 32-bit ints (which is the default on windows even for 64-bit versions), being treated as 64-bit.
```
======================================================================
ERROR: test_append_with_tim... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7338 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7338/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7338/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7338/events | https://github.com/pandas-dev/pandas/pull/7338 | 34,964,246 | MDExOlB1bGxSZXF1ZXN0MTY3MTE2NTU= | 7,338 | add class=„pandas-empty“ to NaN-cells’ HTML | {
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``` css
td.pandas-empty { color: #eee }
```
to de-emphasize, or
``` css
td.pandas-empty { background-color: yellow }
```
to let empty cells stand out.
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https://api.github.com/repos/pandas-dev/pandas/issues/7339 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7339/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7339/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7339/events | https://github.com/pandas-dev/pandas/issues/7339 | 34,965,086 | MDU6SXNzdWUzNDk2NTA4Ng== | 7,339 | TST: comparison vs timezone issue for current pytz | {
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```
FAIL: test_with_tz (pandas.tseries.tests.test_timezones.TestTimeZoneSupportPytz)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/travis/virtualenv/python3.4.0/lib/python3.4/site-pack... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7340 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7340/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7340/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7340/events | https://github.com/pandas-dev/pandas/issues/7340 | 34,973,613 | MDU6SXNzdWUzNDk3MzYxMw== | 7,340 | Ignore EOF character in read_csv | {
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"followers_url": "https://api.github.com/users/jorisva... | 11 | 2014-06-04T16:06:18Z | 2017-11-04T17:27:39Z | 2017-11-04T17:27:13Z | CONTRIBUTOR | null | From a [stackoverflow](http://stackoverflow.com/q/24038946/386279) question, I'm working on a Mac, trying to read a csv generated on Windows that ends with a `'\x1a'` EOF character, and `pd.read_csv` creates a new row at the end, `['\x1a', NaN, NaN, ...]`
```
In [1]: import pandas as pd
In [2]: from StringIO import St... | {
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for some reason `int64` was not being looked up correctly in the _TYPE_MAP table.
changing to work on name/kind makes this more efficient.
separately better inference of timedelta conversions from i8 were not being done
so that yields a big boost
```
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https://api.github.com/repos/pandas-dev/pandas/issues/7343 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7343/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7343/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7343/events | https://github.com/pandas-dev/pandas/pull/7343 | 34,987,309 | MDExOlB1bGxSZXF1ZXN0MTY3MjQ2MDM= | 7,343 | COMPAT: tests compat with current timezones (pytz) (GH7339) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7344 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7344/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7344/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7344/events | https://github.com/pandas-dev/pandas/issues/7344 | 34,991,232 | MDU6SXNzdWUzNDk5MTIzMg== | 7,344 | reverse get dummies | {
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``` python
locs = pandas.read_csv(os.path.join(os.getcwd(),os.listdir()[1]),sep=',',skipinitialspace=True)
Traceback (most recent call last):
File "C:\PF2\eclipse-standard-kepl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7346 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7346/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7346/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7346/events | https://github.com/pandas-dev/pandas/pull/7346 | 34,998,884 | MDExOlB1bGxSZXF1ZXN0MTY3MzE1OTM= | 7,346 | TST7337: Try to resolve windows test failures. | {
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closes #7337
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] | closed | false | null | [] | null | 2 | 2014-06-05T00:13:20Z | 2014-08-22T07:32:12Z | 2014-08-22T07:32:12Z | NONE | null | When I have to write a frame to the database that has 20,000+ records I get a timeout from MySQL. I've written some code to write the data 20,000 records at a time. I think it would be a useful function to have built into Pandas.
The code works but needs some cleanup. If others agree this is useful enhancement requ... | {
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lets take the following dates:
`dates = ['04/07/2013 21:40','22/06/2013 02:40']`
if I call `pd.to_datetime` on these two date strings, it produces incorrect results. For the first date '7' is interpreted as day-value while for the second date '22' is interpreted as the day-value.
Please get me right I ... | {
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This is a bug; the first should work like the 2nd (it is incorrectly selecting by position); essentially this is `.ix` fallback type behavior
```
In [10]: df = DataFrame(np.arange(12).reshape(-1,1),index=pd.MultiIndex.from_produc... | {
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``` Python
>>> from pandas.core import nanops
>>> import bottleneck
>>> import numpy as np
>>> nanops._USE_BOTTLENECK = False
>>>
>>> val = np.random.randn(13, 11, 7)
>>>
>>> b... | {
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``` Python
>>> from pandas.core import nanops
>>> import bottleneck
>>> import numpy as np
>>> nanops._USE_BOTTLENECK = Fals... | {
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The reason is that `get_table` is not implemented for fallback mode (https://github.com/pydata/pandas/blob/master/pandas/io/sql.py#L1072), so a `create_table_statement` is always called (https://github.com/pyd... | {
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``` Python
>>> from pandas.core import nanops
>>> import numpy as np
>>>
>>> val0 = np.ones(10)*np.inf
>>> val1... | {
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1. It adds unit tests for `nanops`
2. It fixes several bugs identified by the unit tests
related #7352
related #7353
related #7354
related #7357
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API like:
``` python
df.nlargest('column_name', 3)
```
impl like:
``` python
def nlargest(self, col, n):
return self.loc[self[col].nlargest(n).index]
```
cc @hayd
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https://api.github.com/repos/pandas-dev/pandas/issues/7360 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7360/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7360/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7360/events | https://github.com/pandas-dev/pandas/issues/7360 | 35,086,406 | MDU6SXNzdWUzNTA4NjQwNg== | 7,360 | Unable to import Stata 13 database files with read_stata() | {
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The output of running this
``` python
import pandas
pandas.show_versions()
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https://api.github.com/repos/pandas-dev/pandas/issues/7362 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7362/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7362/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7362/events | https://github.com/pandas-dev/pandas/pull/7362 | 35,100,626 | MDExOlB1bGxSZXF1ZXN0MTY3OTMzMDA= | 7,362 | TST7337: Fix test failures on windows. | {
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Use dateutil.tz.tzutc() to construct UTC timezone instead of dateutil.tz.gettz('UTC')
Update docs to reflect this.
Tidy up examples in the timezones section of the docs.
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... | 10 | 2014-06-06T01:13:49Z | 2019-01-07T07:46:28Z | null | NONE | null | When appending a DataFrame to a HDFStore it would be useful if there was a way to resume the current integer index of the existing data (and hence drop the index of new DataFrame).
A work around was posted [here](https://stackoverflow.com/questions/16997048/how-does-one-append-large-amounts-of-data-to-a-pandas-hdfstor... | {
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Fixes an issue where read_sql_table() will throw an error if it is
reading a postgres table with `timestamp with time zone` fields that
contain entries with different time zones (such as for DST).
This also adds ... | {
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DataFrame(range(10),dtype='uint16').to_stata('test.dta')
```
Mentioned in #7097
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```
(Pdb) [r[0] for r in ratios]
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``` python
>>> import pandas as pd
>>> pd.read_stata("no_obs_v115.dta")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7370 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7370/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7370/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7370/events | https://github.com/pandas-dev/pandas/pull/7370 | 35,126,775 | MDExOlB1bGxSZXF1ZXN0MTY4MDg5MDI= | 7,370 | ENH: change BlockManager pickle format to work with dup items | {
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After recent BlockManager overhaul, #6745, it's now possible to it's no longer necessary to share items/ref-items between Blocks and their respective managers<del>, so Blocks can now be safely pickled/unpick... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7371 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7371/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7371/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7371/events | https://github.com/pandas-dev/pandas/pull/7371 | 35,139,423 | MDExOlB1bGxSZXF1ZXN0MTY4MTY2NDM= | 7,371 | BUG: infer_freq results in None for hourly freq with timezone | {
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I couldn't detect as test cases are also incorrect...
This should work for all the freqs with timezones.
NOTE: I couldn't use normal `tslib.tz_convert` which returns incorrect results maybe caused by DST. Ap... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7372 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7372/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7372/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7372/events | https://github.com/pandas-dev/pandas/issues/7372 | 35,141,306 | MDU6SXNzdWUzNTE0MTMwNg== | 7,372 | Strange behaviour of DataFrame html repr in qtconsole | {
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] | closed | false | null | [] | null | 7 | 2014-06-06T12:28:48Z | 2015-01-19T18:13:45Z | 2015-01-19T18:13:45Z | MEMBER | null | Don't know if this is related to the new changes in 0.14 in the display of Dataframes or to #7180. But I find the following behaviour with 0.14 in Spyders IPython qtconsole:
To reproduce:
```
df = pd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7373 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7373/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7373/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7373/events | https://github.com/pandas-dev/pandas/pull/7373 | 35,154,181 | MDExOlB1bGxSZXF1ZXN0MTY4MjU2MDc= | 7,373 | BUG: resample raises ValueError when NaT is included | {
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There are some aggregations which doesn't work with `TimeGrouper` yet, I'll open separate issue.
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https://api.github.com/repos/pandas-dev/pandas/issues/7374 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7374/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7374/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7374/events | https://github.com/pandas-dev/pandas/issues/7374 | 35,157,151 | MDU6SXNzdWUzNTE1NzE1MQ== | 7,374 | RFC: what could attribute to failed tests in TestClipboard? | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-06-06T15:45:41Z | 2014-06-06T17:18:40Z | 2014-06-06T17:18:40Z | CONTRIBUTOR | null | Originally reported https://buildd.debian.org/status/fetch.php?pkg=pandas&arch=kfreebsd-amd64&ver=0.14.0%2Bgit17-g3849d5d-1%2Bb1&stamp=1401974000
I have tried to reproduce on (an interactive) kfreebsd-amd64 porter box, but there tests completed fine.
```
===============================================================... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7375 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7375/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7375/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7375/events | https://github.com/pandas-dev/pandas/pull/7375 | 35,159,182 | MDExOlB1bGxSZXF1ZXN0MTY4Mjg1ODE= | 7,375 | ENH/BUG: Offset.apply dont preserve time | {
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"followers_url": "https://api.github.com/users/jr... | 8 | 2014-06-06T18:07:38Z | 2016-10-12T23:04:55Z | 2014-06-06T23:28:58Z | CONTRIBUTOR | null | I think this is distinct from #5541 though I agree that an API change here might be helpful. AFAICT, I am using replace as 'expected', but all of the keys aren't being matched. Any idea what's going on?
```
d = {u'fname' :
{'out_augmented_AUG_2011.json' : pd.Period(year=2011, month=8, freq='M'),
'out_augmente... | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-06-06T19:18:26Z | 2014-06-06T19:27:11Z | 2014-06-06T19:26:05Z | CONTRIBUTOR | null | #7371
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https://api.github.com/repos/pandas-dev/pandas/issues/7380 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7380/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7380/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7380/events | https://github.com/pandas-dev/pandas/issues/7380 | 35,178,315 | MDU6SXNzdWUzNTE3ODMxNQ== | 7,380 | read_sql gives SQLAlchemy warning 'Could not instantiate type ...' | {
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When I run the code below
```
import pandas as pd
import sqlalchemy
dbname = "sqlite:////Users/leda/home/Magnetic_stars/SQLite/Magnetic_stars.sqlite"
engine = sqlalchemy.create_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7381 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7381/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7381/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7381/events | https://github.com/pandas-dev/pandas/issues/7381 | 35,184,900 | MDU6SXNzdWUzNTE4NDkwMA== | 7,381 | Pandas 0.13 bug parsing am/pm in time stamp strings. | {
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``` python
In [16]: pd.to_datetime("12/01/13", format="%m/%d/%y")
Out[16]: Timestamp('2013-12-01 00:00:00', tz=None)
In [17]: pd.to_datetime("12/01/13 3:15", format="%m/%d/%y %I:%M")
Out[17]: Timestamp('2013-12-01 03:15:00', tz=None)
In [18]: pd.to_datetime("12/01/13 3:15pm", format... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7382 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7382/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7382/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7382/events | https://github.com/pandas-dev/pandas/issues/7382 | 35,185,221 | MDU6SXNzdWUzNTE4NTIyMQ== | 7,382 | Sorting a Larg-ish Series Appears to be Broken | {
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``` python
import pandas as pd
import matplotlib.pyplot as plt
from csv import excel
%pylab inline
omob = pd.read_csv("LoadTimes.csv", names=["Timing"], dialect=excel).Timing
sliced = omob[(omob > 0) & (omob < 120000)]
wtf = pd.Seri... | {
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Starting from issue #2121 marked as c... | {
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... | 0 | 2014-06-06T22:20:59Z | 2021-04-11T04:41:49Z | null | MEMBER | null | Derived from #7299. `numpy.insert` can accept multiple elements / indices as of v1.8.
http://docs.scipy.org/doc/numpy/reference/generated/numpy.insert.html
Allow `Index` to accept multiple elements / indices. Currently, it raises `IndexError`.
```
import pandas as pd
idx1 = pd.Index([1, 2, 3, 4, 5])
idx1.insert([1, 2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7385 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7385/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7385/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7385/events | https://github.com/pandas-dev/pandas/pull/7385 | 35,209,192 | MDExOlB1bGxSZXF1ZXN0MTY4NTQ1OTE= | 7,385 | ENH: automatic rpy2 instance conversion | {
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If looks OK, I'll modify the doc (#7309) based on following API.
```
import pandas as pd
import pandas.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7386 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7386/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7386/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7386/events | https://github.com/pandas-dev/pandas/pull/7386 | 35,211,206 | MDExOlB1bGxSZXF1ZXN0MTY4NTUyMzI= | 7,386 | BUG: Revisit DatetimeIndex.insert doesnt preserve name and tz | {
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It seems to be caused by DST related to `tslib` or `pytz`, and became obvious by the previous test case.
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- [x] #414: (i think) original issue for these ideas go... | {
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- you can now pass arguments that will go to nosetests (e.g., for running network tests)
- removed tox_prll.ini because you can `pip install detox` and it will automatically build run and test across the configuration in tox.ini
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it seems like there's a better way to do this ....
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### Current behaviour
- `plot` and `hist`:
When `ax` kw is passed, plot will be drawn on the figure which the passed ax belongs. The figure will be once cleared even if the required number of subplo... | {
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fixes #7335
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https://api.github.com/repos/pandas-dev/pandas/issues/7395 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7395/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7395/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7395/events | https://github.com/pandas-dev/pandas/issues/7395 | 35,239,665 | MDU6SXNzdWUzNTIzOTY2NQ== | 7,395 | ENH: keyword to specify where to insert level with stack/unstack? | {
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```
In [47]: df = pd.DataFrame({'A': np.zeros(5), 'B': np.zeros(5)}, i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7396 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7396/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7396/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7396/events | https://github.com/pandas-dev/pandas/issues/7396 | 35,240,699 | MDU6SXNzdWUzNTI0MDY5OQ== | 7,396 | SQL: read_sql functions should not inspect all tables of database | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-06-08T16:44:55Z | 2014-07-05T13:49:29Z | 2014-07-05T13:49:29Z | MEMBER | null | Related: comment of @balancap: https://github.com/pydata/pandas/issues/6416#issuecomment-45343694 and issue #7380 where you get a warning about a not understood type (probably in another table).
**Situation now**: in the creation of a `PandasSQLAlchemy` object (https://github.com/pydata/pandas/blob/v0.14.0/pandas/io/s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7397/events | https://github.com/pandas-dev/pandas/pull/7397 | 35,254,278 | MDExOlB1bGxSZXF1ZXN0MTY4NjkyMTc= | 7,397 | to_stata uint16 | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2014-06-09T01:54:45Z | 2014-07-17T03:05:28Z | 2014-07-17T03:05:18Z | NONE | null | Simple changes to io/stata.py to write unsigned integers to Stata files. Sorry about the poor commit messages--I'm still new to git and wasn't able to correct it cleanly.
(See issue #7365)
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https://api.github.com/repos/pandas-dev/pandas/issues/7398 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7398/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7398/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7398/events | https://github.com/pandas-dev/pandas/pull/7398 | 35,257,360 | MDExOlB1bGxSZXF1ZXN0MTY4NzA0MjA= | 7,398 | DOC: existence docs and benchmarks. | {
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I've included some documentation on existence-type associations as requested by Jeff in [this question](http://stackoverflow.com/questions/23945493/a-faster-alternative-to-pandas-isin-function/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7399/events | https://github.com/pandas-dev/pandas/issues/7399 | 35,261,299 | MDU6SXNzdWUzNTI2MTI5OQ== | 7,399 | BUG: .loc on MultiIndex with list of indexers including an incomplete slice raises KeyError | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-06-09T05:36:59Z | 2014-06-09T15:47:17Z | 2014-06-09T15:47:17Z | MEMBER | null | Tested on latest version
``` python
import pandas as pd
midx = pd.MultiIndex.from_product([range(5), ['a', 'b', 'c']])
s = pd.Series(range(15), midx)
s.loc[:, 'a':'c'] # works
s.loc[0:4, 'a':'c'] # works
s.loc[:4, 'a':'c'] # raises KeyError
```
```
--------------------------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7400/events | https://github.com/pandas-dev/pandas/issues/7400 | 35,261,402 | MDU6SXNzdWUzNTI2MTQwMg== | 7,400 | BUG: step with .loc on MultiIndex with list of indexers skips wrong elements | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2014-06-09T05:40:24Z | 2014-06-09T15:47:17Z | 2014-06-09T15:47:17Z | MEMBER | null | Setup (shared with #7399):
``` python
import pandas as pd
midx = pd.MultiIndex.from_product([range(5), ['a', 'b', 'c']])
s = pd.Series(range(15), midx)
print(s.loc[2:4:2, 'a':'c'])
```
What I get:
```
2 a 6
c 8
3 b 10
4 a 12
c 14
dtype: int64
```
What I expected (the step should only apply... | {
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