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https://api.github.com/repos/pandas-dev/pandas/issues/7701
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37,439,286
MDU6SXNzdWUzNzQzOTI4Ng==
7,701
PeriodIndex construction with Series (for year, quarter) give TypeError
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2
2014-07-09T07:11:32Z
2016-10-12T23:05:00Z
2014-07-10T15:15:02Z
MEMBER
null
Example from Wes' book: ``` In [1]: data = pd.DataFrame({'year':[1959,1959,1959,1959,1960,1960,1960,1960], ' quarter':[1,2,3,4,1,2,3,4]}) In [2]: data Out[2]: quarter year 0 1 1959 1 2 1959 2 3 1959 3 4 1959 4 1 1960 5 2 1960 6 3 1960 7 4 1960 In [3]...
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37,444,765
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7,702
BUG: DatetimeIndex.__iter__ creates a temp array of Timestamp (GH7683)
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2014-07-09T08:49:59Z
2014-07-09T17:09:30Z
2014-07-09T17:00:54Z
CONTRIBUTOR
null
closes #7683
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37,455,604
MDU6SXNzdWUzNzQ1NTYwNA==
7,703
Window function to select all rows around certain values in a column
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3
2014-07-09T11:29:32Z
2018-07-06T22:01:49Z
2018-07-06T21:59:47Z
NONE
null
I think [this StackOverflow question](http://stackoverflow.com/q/24650117/1156707) illustrates both the premise and the problem quite well. In short, it would be nice to have something like `df.window(df.somecolumn == 'ping', winsize=5)` which would return a subset of `df` such that for each row where `df.somecolumn==...
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37,458,756
MDU6SXNzdWUzNzQ1ODc1Ng==
7,704
BUG: invalid dtype conversion when setting string column
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0
2014-07-09T12:19:05Z
2014-09-19T20:05:55Z
2014-09-19T20:05:55Z
CONTRIBUTOR
null
http://stackoverflow.com/questions/24650117/how-can-i-select-all-dataframe-rows-that-are-within-a-certain-distance-of-a-give/24653406#24653406 ``` In [32]: df = pd.DataFrame(np.random.rand(30, 3), columns=tuple('ABC')) In [33]: df['event'] = np.nan In [34]: df.dtypes Out[34]: A float64 B float64 C ...
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https://api.github.com/repos/pandas-dev/pandas/issues/7705
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37,468,091
MDExOlB1bGxSZXF1ZXN0MTgxNjIxNzI=
7,705
BUG: offset normalize option may not work in addition/subtraction
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5
2014-07-09T14:10:24Z
2014-07-10T11:01:35Z
2014-07-09T15:48:51Z
MEMBER
null
Closes problem found in #7375. @jreback Is this for 0.15 (needs release note)?
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37,468,750
MDU6SXNzdWUzNzQ2ODc1MA==
7,706
YearOffset() raises AttributeError
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5
2014-07-09T14:17:08Z
2020-06-28T17:38:27Z
2020-06-28T17:38:26Z
MEMBER
null
From https://github.com/pydata/pandas/pull/7375#issuecomment-48467303: related: https://github.com/pydata/pandas/issues/4804 xref: #7705 (MonthOffset) ``` In [55]: offsets.YearOffset() --------------------------------------------------------------------------- AttributeError Traceback (most ...
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7,707
MonthOffset() gives increase of 1 day instead of 1 month
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2014-07-09T14:22:52Z
2020-06-28T17:54:34Z
2020-06-28T17:54:33Z
MEMBER
null
From https://github.com/pydata/pandas/pull/7375#issuecomment-48465256: ``` In [67]: from pandas.tseries import offsets In [69]: d = pd.Timestamp('2014-01-01 09:00:00') In [70]: d + offsets.MonthOffset() Out[70]: Timestamp('2014-01-02 09:00:00') In [71]: offsets.MonthOffset().apply(d) Out[71]: Timestamp('2014-01-02 ...
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37,475,471
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7,708
API: Add PeriodIndex.resolution
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1
2014-07-09T15:14:46Z
2014-07-23T11:09:22Z
2014-07-21T11:49:58Z
MEMBER
null
Add `resolution` to `PeriodIndex` as `DatetimeIndex` has. NOTE: Going to use this to calculate common freq in #7670.
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7,709
BUG: DatetimeIndex.__iter__ creates a temp array of Timestamp (GH7683)
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13
2014-07-09T17:00:31Z
2014-07-10T15:32:51Z
2014-07-10T15:32:51Z
CONTRIBUTOR
null
closes #7683 Move `__iter__` from `DatatimeIndex/PeriodIndex` to `DatetimeIndexOpsMixin` Adding perf tests for change ``` ------------------------------------------------------------------------------- Test name | head[ms] | base[ms] | ratio | ----------------------------------...
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MDU6SXNzdWUzNzUwMTcyMA==
7,710
Indexing by a list of Periods fails to return a series
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2014-07-09T19:48:43Z
2016-09-01T07:28:07Z
2016-09-01T07:28:07Z
NONE
null
``` In [1]: import pandas as pd In [2]: pd.show_versions() INSTALLED VERSIONS ------------------ commit: None python: 2.7.7.final.0 python-bits: 32 OS: Windows OS-release: 7 machine: AMD64 processor: Intel64 Family 6 Model 30 Stepping 5, GenuineIntel byteorder: little LC_ALL: None LANG: None pandas: 0.14.0 nose: 1.3...
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7,711
COMPAT: Consider dropping numpy 1.6 support
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33
2014-07-09T19:58:29Z
2014-08-12T22:03:26Z
2014-08-12T21:59:20Z
MEMBER
null
## NumPy 1.6 NumPy 1.6 introduced numerous bugs around datetimes, forcing a plethora of hacks, and causing numerous stress-induced ulcers for an uncountably infinite number of people. The time for pandas to lose this vestigial organ has come. The main reason for this is that datetime support is just broken, in nearly...
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7,712
BUG: PeriodIndex constructor doesn't work with Series objects
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15
2014-07-09T20:48:17Z
2014-07-10T15:44:34Z
2014-07-10T15:15:02Z
MEMBER
null
closes #7701
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37,507,936
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7,713
DOC: fix doc build warnings
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2014-07-09T21:01:45Z
2014-07-10T07:17:55Z
2014-07-10T07:17:53Z
MEMBER
null
This should fix all doc build errors/warnings (apart from the known ones).
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7,714
DOC: clean up 0.14.1 whatsnew file
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29
2014-07-10T07:57:40Z
2014-07-11T20:38:28Z
2014-07-10T23:08:37Z
MEMBER
null
- removed the sections with no entries - removed whitespace - moved some entries from API-changes to Enhancements/Big fixes when it was not really a backwards incompatible change or if it was not clear what the relevant change was for users (and for the offsets normalize issue I rewrote it) Highlights should still be ...
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7,715
Suggestion/Discussion: read_hdf
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3
2014-07-10T08:43:53Z
2014-09-26T22:06:18Z
2014-09-26T22:06:18Z
CONTRIBUTOR
null
At the moment `read_hdf` is implemented such way that it opens HDFStore connection immediately when it is called. If the file does not exist, then it creates an HDF file and then throws `KeyError`. There are two side effects: - You can not distinguish situation when the file does not exist from situation when the key d...
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7,716
Time-series plotting inconsistencies
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2014-07-10T12:30:41Z
2015-10-20T22:29:05Z
2015-10-20T22:29:05Z
CONTRIBUTOR
null
Say I have a dataframe `df` where `df.index` consists of `datetime` objects, e.g. ``` > df.index[0] datetime.date(2014, 5, 5) ``` If I plot it, Pandas nicely preserves the `datetime` type in the plot, which allows the user to change the time-series sampling as well formatting options of the plot: ``` # Plot the d...
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CLN: Simplify LinePlot flow
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2014-07-10T13:02:54Z
2014-07-23T11:08:48Z
2014-07-21T13:14:05Z
MEMBER
null
Related to #7670. Made `LinePlot` to use single plotting flow in `x_compat` and `tsplot`.
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COMPAT: drop support for python 2.6
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2014-07-10T14:01:11Z
2016-01-08T14:07:14Z
2016-01-08T14:07:14Z
MEMBER
null
will close #8760 at same time The slowest of the slow of Linux distributions (RHEL) has upgraded their version of Python to 2.7. I think if they're happy with not supporting 2.6, then we can be too. Supporting it is not a _huge_ deal, but it would be nice to really encourage people to move forward with upgrading to l...
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37,567,251
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7,719
SQL: suppress warning for BIGINT with sqlite and sqlalchemy<0.8.2 (GH7433)
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15
2014-07-10T14:24:58Z
2014-07-10T22:35:31Z
2014-07-10T22:34:56Z
MEMBER
null
From discussion here: https://github.com/pydata/pandas/pull/7634#issuecomment-48111148 Due to switching from Integer to BigInteger (to support int64 on some database systems), reading a table from sqlite with integers leads to a warning when you have an slqalchemy version of below 0.8.2. I know it is very very late a...
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37,569,918
MDExOlB1bGxSZXF1ZXN0MTgyMjM5MDc=
7,720
PERF: improve perf of index iteration (GH7683)
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2
2014-07-10T14:50:32Z
2014-07-16T00:30:13Z
2014-07-16T00:29:51Z
CONTRIBUTOR
null
closes #7683 `PeriodIndex` creation is still in python space, not much help ``` ------------------------------------------------------------------------------- Test name | head[ms] | base[ms] | ratio | ------------------------------------------------------------------------------...
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7,721
DOC: docstring for PeriodIndex
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2014-07-10T15:47:30Z
2014-07-10T15:48:56Z
2014-07-10T15:48:55Z
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MDU6SXNzdWUzNzU5MDM0NA==
7,722
PERF: .agg(built_in_funcs) not always calling cythonized versions
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1
2014-07-10T18:23:57Z
2014-09-03T19:50:12Z
2014-09-03T19:50:12Z
CONTRIBUTOR
null
related #7570 `agg(min/max)` are NOT calling `.min()/max()` https://groups.google.com/forum/#!topic/pydata/xinuPFPVakY need to check: `sum/mean` look ok
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37,591,589
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7,723
Series dot method is not working correctly
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3
2014-07-10T18:37:25Z
2014-07-10T18:54:20Z
2014-07-10T18:47:20Z
NONE
null
> > import pandas > > ts1 = pandas.Series({'b':0., 'a':2.}) > > ts2 = pandas.Series({'b':2., 'a':0.}).reindex(['b', 'a']) > > print ts1.dot(ts2) 4.0 the dot product should be 0.0 not 4.0. vishy
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7,724
Bug behavior when checking element inclusion in non-unique MultiIndex
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17
2014-07-10T20:05:04Z
2014-11-21T23:20:24Z
2014-11-21T23:20:24Z
NONE
null
I am using `pandas.__version__==0.14.0`. This is my first bug report in github so excuse my possibly poorly formatted submission. This bug report might be related to, or duplicate: 1. https://github.com/pydata/pandas/issues/2646 2. https://github.com/pydata/pandas/issues/6501 It was explained to me by [http://stackov...
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7,725
BUG(?): get default value doesn't work for Series
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2
2014-07-10T21:09:41Z
2014-09-08T14:13:22Z
2014-09-08T14:13:22Z
CONTRIBUTOR
null
`Series` have a `get` method, but using the default value doesn't work for certain type combinations: ``` >>> s = pd.Series([1,2,3], index=["a","b","c"]) >>> s a 1 b 2 c 3 dtype: int64 >>> s.get("d", 0) 0 >>> s.get(10, 0) Traceback (most recent call last): File "<ipython-input-18-26d73ac73179>", line 1, in ...
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7,726
ENH: Add uint and bool support in to_stata
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2014-07-10T21:36:07Z
2014-07-16T18:59:42Z
2014-07-16T00:36:36Z
CONTRIBUTOR
null
Added support for uint (uint8, uint16 and uint32, but not uint64) and bool datatypes in to_stata. closes #7097 closes #7365
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http://pandas.pydata.org/community.html not updated
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2014-07-11T01:04:52Z
2014-07-11T13:41:56Z
2014-07-11T12:37:21Z
CONTRIBUTOR
null
http://pandas.pydata.org/community.html still lists "0.13.1 - February 2014" the Official Release, and "0.14 - May 2014" as the Development release, whereas the main page http://pandas.pydata.org/ correctly lists "0.14.0 - May 2014" as the Official Release, and "0.14.1 - June 2014" [should be July at this point] as th...
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7,728
BUG: allow get default value upon IndexError, GH #7725
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5
2014-07-11T01:17:23Z
2014-09-08T14:13:33Z
2014-09-08T14:13:22Z
CONTRIBUTOR
null
Fixes #7725 by adding IndexError to the tuple of caught exceptions.
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37,667,460
MDU6SXNzdWUzNzY2NzQ2MA==
7,729
BUG: wrong type is returned by iat[] for date time series
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2
2014-07-11T14:56:31Z
2014-09-17T20:46:01Z
2014-09-17T20:46:01Z
NONE
null
These return object of type class `pandas.tslib.Timestamp`: ``` print type(pd.Series(['2014-01-01', '2014-02-02'], dtype='datetime64[ns]')[0]) print type(pd.Series(['2014-01-01', '2014-02-02'], dtype='datetime64[ns]').min()) ``` but using `iat[]` returns object of type type `numpy.datetime64`: ``` print ...
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MDU6SXNzdWUzNzY3ODg3Mw==
7,730
read_sql function eats informative error messages.
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3
2014-07-11T17:10:31Z
2014-09-09T07:51:12Z
2014-09-09T07:51:12Z
NONE
null
Consider the following code. ``` import pandas as pd import psycopg2 bad_query = 'select bad_column from my_table;' conn = psycopg2.connect(...) pd.read_sql(bad_query, conn) ``` Running the above in my environment produces a DatabaseError exception with the following message: "Execution failed on sql: select bad_...
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37,703,983
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7,731
Import error in pkg_resources.py
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2014-07-11T22:46:10Z
2014-07-14T18:23:25Z
2014-07-14T18:23:25Z
NONE
null
Pandas: 0.14 Python: 3.4 OS: Mac (installed through macports.) ``` import pyqtgraph as pg import pandas as pd ``` running the above gives the following error (ImportError on cStringIO). ``` File "/opt/local/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/pkg_resources.py", line 50, in <m...
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https://api.github.com/repos/pandas-dev/pandas/issues/7732
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37,703,989
MDU6SXNzdWUzNzcwMzk4OQ==
7,732
IndexError given when attempting to plot to subplot with ncols != nrows.
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1
2014-07-11T22:46:19Z
2014-07-11T23:31:34Z
2014-07-11T23:31:34Z
NONE
null
FYI .. the following code gives an index error. I was expecting it to plot. The error doesn't occur if nrows=ncols. I found a work around to this. >>> import pandas as pd >>> import pandas.io.data as web >>> import matplotlib.pyplot as plt >>> import datetime >>>df1=web.get_data_yahoo('GE',start=datetime.datetime.tod...
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MDExOlB1bGxSZXF1ZXN0MTgzMDg2MjQ=
7,733
BUG: Repeated timeseries plot may result in incorrect kind
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2
2014-07-12T00:14:34Z
2014-07-25T20:44:05Z
2014-07-24T12:59:45Z
MEMBER
null
Must be revisited after #7717. Repeated line and area plot may result incorrect if it requires resampling. ``` import pandas as pd import numpy as np import matplotlib.pyplot as plt fig, axes = plt.subplots(2, 2, figsize=(7, 5)) np.random.seed(1) df1 = pd.DataFrame(np.random.rand(5, 2), pd.date_range('2011-01-01', ...
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7,734
Specify in docs that join='outer' is the defaul for align method.
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2014-07-12T10:27:01Z
2014-07-12T11:00:48Z
2014-07-12T11:00:26Z
CONTRIBUTOR
null
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7,735
BUG: DTI.value_counts doesnt preserve tz
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9
2014-07-12T11:54:36Z
2014-07-26T13:27:25Z
2014-07-25T21:04:51Z
MEMBER
null
Found 2 problems related to `value_counts`. - `DatetimeIndex.value_counts` loses tz. ``` didx = pd.date_range('2011-01-01 09:00', freq='H', periods=3, tz='Asia/Tokyo') print(didx.value_counts()) #2011-01-01 00:00:00 1 #2011-01-01 01:00:00 1 #2011-01-01 02:00:00 1 # dtype: int64 ``` - `PeriodIndex.value_counts...
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7,736
ENH: plot functions accept multiple axes and layout kw
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25
2014-07-12T12:51:02Z
2014-09-10T12:10:57Z
2014-08-19T17:09:15Z
MEMBER
null
- Added `layout` keyword to `plot_frame` (Closes #6667) - Allow to pass multiple axes to `plot_frame`, `hist` and `boxplot` (Closes #5353, Closes #6970, Closes #7069) ``` import pandas as pd import numpy as np import matplotlib.pyplot as plt import pandas.util.testing as tm n = 20 gender = tm.choice(['Male', 'Female'...
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ENH: Use left._constructor on pd.merge
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8
2014-07-12T16:53:33Z
2014-08-11T13:57:14Z
2014-08-11T13:04:16Z
CONTRIBUTOR
null
Use the _constructor property when creating the merge result to preserve the output type. If a [GeoPandas](http://github.com/geopandas/geopandas) `GeoDataFrame` is merged with a `DataFrame`, the result is hard-coded to always be `DataFrame` [GeoPandas Issue #118](https://github.com/geopandas/geopandas/issues/118). We'...
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37,726,161
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7,738
BUG: _flex_binary_moment() doesn't preserve column order or handle multiple columns with the same label
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14
2014-07-12T18:57:33Z
2014-09-10T00:12:39Z
2014-07-25T14:34:07Z
CONTRIBUTOR
null
Closes https://github.com/pydata/pandas/issues/7542.
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7,739
groupby - apply applies to the first group twice
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17
2014-07-12T20:58:54Z
2019-01-26T15:19:31Z
2014-07-12T21:02:22Z
NONE
null
This bug is easy to reproduce: ``` def printA(group): print group.A.values[0] return 0 pandas.DataFrame({'A': [0,0,1,1], 'B': [0,1,0,1]}).groupby('A').apply(printA) ``` This should print ``` 0 1 ``` and return a `Series` containing two zeroes. Although it does return the expected `Series`, it prints ``` 0...
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7,740
BUG: Period ops with np.timedelta64 cause unexpected result
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1
2014-07-12T23:17:49Z
2014-08-10T14:53:57Z
2014-08-10T14:53:57Z
MEMBER
null
`Period` + `np.timedelta64` doesn't raise `TypeError(NotImplemented)` (like `offsets` does), and results in erratic internal representation. ``` import pandas as pd import numpy as np p = pd.Period('2011-01-01', freq='D') p = p + np.timedelta64(2, 'h') # This raises no error print(p) # TypeError: don't know how to c...
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7,741
ENH/BUG: DatetimeIndex and PeriodIndex in-place ops behaves incorrectly
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2
2014-07-13T00:14:25Z
2014-07-25T20:42:29Z
2014-07-23T21:28:50Z
MEMBER
null
Fixes 2 issues related to `DetetimeIndex` and `PeriodIndex` ops. - Addition / subtraction between `PeriodIndex` raise `TypeError` (Closes #3367). ``` pidx + pidx # TypeError: unsupported operand type(s) for +: 'PeriodIndex' and 'PeriodIndex' ``` - In-place addition / subtraction doesn't return the same result as norma...
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37,737,462
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7,742
spell fix: seperated -> separated
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2014-07-13T08:51:19Z
2014-07-13T12:13:22Z
2014-07-13T11:47:37Z
CONTRIBUTOR
null
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7,743
Update common.py
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2014-07-13T09:07:45Z
2014-08-05T17:10:19Z
2014-08-05T17:10:19Z
CONTRIBUTOR
null
Force violate array to be of type int. When no nan values are found, the array defaults to an empty array of type float, so you get an error: **\* IndexError: arrays used as indices must be of integer (or boolean) type
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7,744
API: resample with PeriodIndex default span (start/end convention)
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2014-07-13T09:29:02Z
2021-04-11T04:52:30Z
null
MEMBER
null
Previously, for resampling with PeriodIndex, you had two conventions: `'start'` (start -> start) and `'end'` (end -> end). This would give something like this (note: the following is **not current real code output**, but from Wes' book): ``` In [25]: s = pd.Series(np.arange(2), index=pd.period_range('2000-1', periods=...
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Docs fixes
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2014-07-13T11:23:38Z
2014-07-13T12:37:47Z
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BUG: reset_index with a multi-index PeriodIndex
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2014-07-13T12:36:14Z
2014-07-19T13:45:50Z
2014-07-19T13:39:59Z
CONTRIBUTOR
null
http://stackoverflow.com/questions/24718730/is-there-any-way-to-keep-a-periodindex-as-a-series-of-periods-with-a-reset-index related: #7791, #7792 (and I think this causes both) duped by #7793 ``` In [10]: df = DataFrame(np.arange(9).reshape(-1,1),index=pd.MultiIndex.from_product([period_range('20130101',periods=3,f...
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7,747
DOC: Fix typo conncection -> connection
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2014-07-14T04:53:52Z
2014-07-14T07:39:24Z
2014-07-14T07:39:19Z
CONTRIBUTOR
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7,748
AttributeError: 'Hour' object has no attribute 'normalize' when masking a time series
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11
2014-07-14T13:10:54Z
2014-07-25T16:57:51Z
2014-07-19T12:10:05Z
NONE
null
Hi All, I have a strange bug when I want to mask values of a time series (that I get from a pickled Panel). I have the following Series: ``` python In[30]: ts=pd.read_pickle('df_issue.pkl')['wind_speed'] In [31]:ts Out[31]: 2013-12-31 16:00:00 NaN 2013-12-31 17:00:00 NaN 2013-12-31 18:00:00 9.8...
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7,749
RELEASE.md points at 0.13.1 release notes
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2014-07-14T17:26:58Z
2014-07-14T17:32:52Z
2014-07-14T17:32:46Z
NONE
null
https://github.com/pydata/pandas/blob/master/RELEASE.md
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7,750
GH6848 silently changed series.sort from stable to unstable sort
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2014-07-14T18:00:37Z
2014-07-20T16:43:34Z
2014-07-14T18:14:41Z
NONE
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#6848 is no where mentioned in the release notes. There's a single item on `.order` changing to quicksort, but it doesn't explicitly warn that the sort was previously stable and now isn't. There's also no warning about `series.sort` changing as well. That API has been around forever and afaict nothing was gained by br...
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7,751
qcut() should make sure the bins bounderies are unique before passing them to _bins_to_cuts
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2014-07-14T18:47:54Z
2016-12-30T19:02:01Z
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xref #8309 for example: ``` python pd.qcut([1,1,1,1,1,1,1,1,1,1,1,1,1,5,5,5], [0.00001, 0.5]) ``` will raise "ValueError: Bin edges must be unique: array([ 1., 1.])" exception Fix suggestion - add one new line: ``` python def qcut(x, q, labels=None, retbins=False, precision=3): if com.is_integer(q): q...
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7,752
read_csv C engine hangs on my server
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2014-07-14T18:55:41Z
2015-03-08T16:57:00Z
2015-03-08T16:57:00Z
NONE
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so I have a web application where users need to be able to upload csv files. If I use the c engine the whole thing hangs indifferently. I was able to read_csv hanging. code: data = smart_unicode(data) #convert to unicode properly frames = {"default":pandas.read_csv(io.StringIO(data))} where 'data' is a Unicode strin...
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7,753
python engine for read_csv does not support unicode
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2014-07-14T19:02:09Z
2015-03-08T16:58:52Z
2015-03-08T16:58:52Z
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code: pandas.read_csv(io.StringIO(data), engine="python") if 'data' contains a non-ascii character this code will throw an exception stack trace: File "/home/jake/Desktop/WiderNSF/physics/service/ExcelTable.py", line 63, in **init** frames = {"default":pandas.read_csv(io.StringIO(data), engine="python")} File "...
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7,754
Series.resample('1S', how='last') on series with dtype=datetime64[ns] is very slow
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2015-06-02T19:25:19Z
2015-05-12T13:06:54Z
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example test: ``` python intSeries = pd.Series(5, pd.date_range(start='2000-01-01', end='2000-01-05', freq='555000U'), dtype='int64') timeSeries = intSeries.astype('datetime64[ns]') time0 = time.time() intSeries.resample('1S', how='last') print 'resampling the int series took ', str(timedelta(seconds = time.time()-ti...
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7,755
Pandas import blocking in Pycharm debug mode
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2014-07-14T20:34:59Z
2015-10-20T22:41:12Z
2015-10-20T22:41:12Z
NONE
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I'm not sure about the exact circumstances and am unable to create a minimal example, but when trying to run an application importing pandas in debug mode through Pycharm, it freezes. I followed the call stack to: ``` try: import numexpr as ne _NUMEXPR_INSTALLED = ne.__version__ >= LooseVersion('2.0') except I...
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7,756
docs: rewrite .iloc accessing beyond ends.
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2014-07-15T02:31:45Z
2014-07-15T12:57:21Z
2014-07-15T12:57:21Z
CONTRIBUTOR
null
Let's actually talk about what the current behaviour is, not what the behaviour used to be.
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7,757
BUG/ERR: read_csv(header=[0]) should raise/warn
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2014-07-15T02:55:22Z
2017-08-03T16:37:27Z
2017-08-03T16:37:27Z
CONTRIBUTOR
null
`read_csv` with a single-row header either breaks any names that might be on the index, or reads all data as `NaN`. This problem might exist because `pd.read_csv` hasn't caught up to #7589. ``` python In [1]: import pandas as pd In [2]: from StringIO import StringIO In [3]: pd.read_csv(StringIO('''\ alpha,,A,B foo...
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37,876,887
MDU6SXNzdWUzNzg3Njg4Nw==
7,758
astype(unicode) does not work as expected
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11
2014-07-15T12:21:22Z
2014-07-16T11:57:13Z
2014-07-16T11:57:13Z
CONTRIBUTOR
null
astype unicode seems to call str, so that the following code throws ``` import pandas df = pandas.DataFrame({"somecol": [u"適当"]}) df["somecol"].astype("unicode") ``` raises : ``` UnicodeEncodeError: 'ascii' codec can't encode ch aracters in position 0-1: ordinal not in range(12 8) ```
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37,877,146
MDU6SXNzdWUzNzg3NzE0Ng==
7,759
DataFrame.replace behave strangely
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5
2014-07-15T12:25:14Z
2017-01-15T22:56:50Z
2014-07-15T12:53:10Z
CONTRIBUTOR
null
Basically ``` pandas.DataFrame({ "a": [1,1,1,2,2,2] }).replace({ "a": { 1: 2, 2: 3 } }) ``` returns (I was suprised on that one) ``` a 0 2 1 3 2 2 3 3 4 2 5 3 ```
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37,880,455
MDU6SXNzdWUzNzg4MDQ1NQ==
7,760
Plotting series with different frequency yields "ValueError: Incompatible frequency conversion"
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1
2014-07-15T13:06:55Z
2014-07-19T14:11:35Z
2014-07-19T14:11:35Z
NONE
null
So i have two dataframes with simmilar data but, indexed by datetime64 dfA : http://pastebin.com/HenYJxdV dfB : http://pastebin.com/qAsEqSxf so i have following problem when i try to plot them this way: ``` In [107]: seriesA=dfA["more"] seriesB=dfB["less"] In [108]: plt.figure() plt.plot(seriesA.index.tolist(),seri...
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37,892,664
MDU6SXNzdWUzNzg5MjY2NA==
7,761
Non-unique column names in fixed format HDF5
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5
2014-07-15T15:05:57Z
2014-07-21T11:39:29Z
2014-07-21T11:39:29Z
CONTRIBUTOR
null
This leads to an error on read, writing is possible however. Since the format has a fundamental problem with this case if there are columns with the same name but different data types this is not fixable. However, `df.to_hdf` should just not write the respective dataframe if the column index is not unique.
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37,904,832
MDU6SXNzdWUzNzkwNDgzMg==
7,762
read_html doesn't work for wikipedia tables
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4
2014-07-15T17:08:10Z
2016-10-12T23:05:01Z
2014-07-28T13:24:39Z
NONE
null
I assumed reading wikipedia html tables should work for `read_html`, but it returned a lot of garbage :frowning: Example: ``` pd.io.html.read_html("https://en.wikipedia.org/wiki/List_of_U.S._states_and_territories_by_area", "Arizona") ``` I've seen several related issues, maybe this is an useful test case. Version...
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7,763
BUG: Assigning Panel item using .ix/.loc no longer works
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7
2014-07-15T17:29:04Z
2014-09-26T23:36:40Z
2014-09-26T23:36:40Z
NONE
null
I am updating a codebase from an OLD version of pandas (0.7.3) to current version (0.14.1). ``` pandas: 0.14.1 numpy: 1.8.0 ``` The following code has stopped working correctly (using .ix[] or .loc[]): ``` python import numpy as np import pandas as ps np.random.seed(0) index=range(3) columns = list('abc') panel =...
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7,764
rolling_cov and rolling_corr error out when len(series) < min_periods
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11
2014-07-15T19:04:18Z
2014-07-23T12:17:17Z
2014-07-23T12:17:17Z
NONE
null
I am updating a codebase from an OLD version of pandas (0.7.3) to current version (0.14.1) in python 2.7. ``` pandas: 0.14.1 numpy: 1.8.0 ``` Not sure if this is properly classified as a bug, or if it is an expected code change. However, it seems rolling_cov / rolling_corr are specifying the window as min(window give...
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7,765
Closes #7758 - astype(unicode) returning unicode.
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4
2014-07-15T21:42:06Z
2014-07-16T21:49:37Z
2014-07-16T11:57:48Z
CONTRIBUTOR
null
I didn't have to rely on `infer_dtype` as suggested by @jreback in #7758 as I delegated to numpy to do all the dirty job : Just calls numpy.unicode on all the values. Please have a critical look at this pull request before merging : as I am unfamiliar with both pandas and cython; and may have misunderstood the way pa...
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37,941,967
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7,766
BUG: rolling_* functions should not shrink window
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22
2014-07-16T01:29:45Z
2014-09-10T00:12:30Z
2014-07-23T12:17:01Z
CONTRIBUTOR
null
Closes https://github.com/pydata/pandas/issues/7764.
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7,767
Docs: MultiIndex support is hardly bleeding edge, remove docs warnings.
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2014-07-16T07:25:44Z
2014-07-16T09:59:39Z
2014-07-16T09:59:30Z
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null
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38,011,871
MDExOlB1bGxSZXF1ZXN0MTg0ODY2NzY=
7,768
Categorical fixups
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49
2014-07-16T18:42:14Z
2014-08-12T23:45:39Z
2014-08-12T16:18:56Z
CONTRIBUTOR
null
Some fixups for Categoricals. Fixes: #3678 - [x] Maybe change Series.cat after the discussion in https://github.com/pydata/pandas/issues/7207 ? - [ ] remove Series.cat from tab completition if Series is not of dtype category - [x] fix for the "FIXME" in unittests - [x] Look at problems in docs (-> hdf support) - [x] ...
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7,769
FIX: Documentation for for 0.14.1 change log
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5
2014-07-16T19:03:36Z
2014-08-20T15:32:51Z
2014-07-28T20:41:48Z
CONTRIBUTOR
null
Change log is missing some key words on changes to StataReader and StataWriter.
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7,770
BUG: Fix for passing multiple ints as levels in DataFrame.stack() (#7660)
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11
2014-07-16T23:51:25Z
2014-07-21T11:43:11Z
2014-07-21T11:42:51Z
CONTRIBUTOR
null
closes #7660 The specific case that came up in #7660 (and originally in #7653) seems easy enough to fix, so I've covered that in the PR. I feel like this raises a few other potential problems though, e.g.: - If the list of level numbers is not in order, is there any sensible way to deal with them? I've sorted the level...
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MDU6SXNzdWUzODA0NDAwMw==
7,771
nunique is slower than len(set(x.dropna())) for smaller Series.
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17
2014-07-17T02:52:42Z
2014-12-23T03:25:29Z
2014-12-23T03:25:29Z
CONTRIBUTOR
null
This is biting me when applying nunique on some groupby operations. In one benchmark, which I'll shortly share, nunique() is slower until we get to a length of 3000.
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38,057,574
MDU6SXNzdWUzODA1NzU3NA==
7,772
Problem with plotting frequencies "L" and "S"
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2
2014-07-17T08:23:20Z
2014-07-19T17:27:14Z
2014-07-19T14:11:35Z
NONE
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IO am opening new issue as i solved what is wrong with https://github.com/pydata/pandas/issues/7760 . So, i have two sets of data one with frequency 1 second: http://pastebin.com/HenYJxdV And other with frequency 0.1 second (100 miliseconds): http://pastebin.com/HenYJxdV I wanted to plot them on same axe so i did: ``...
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7,773
BUG: sniffing a csv raises with only a header
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7
2014-07-17T09:34:07Z
2016-04-18T15:51:26Z
2016-04-18T15:51:26Z
NONE
null
I'm trying to read a bunch of csv files, but some of them have a header line without any data. I expect to get empty data but Pandas raises an exception on these files: ``` Traceback (most recent call last): File "/usr/bin/positionneur_rng", line 9, in <module> load_entry_point('pymela==0.1.0', 'console_scripts'...
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7,774
REGR: empty list selection resets index types
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14
2014-07-17T12:28:40Z
2014-10-05T14:05:18Z
2014-10-05T14:05:18Z
CONTRIBUTOR
null
regression from 0.14.0 (which return `Index`, which is also not correct). `iloc` DOES work correctly though ``` In [9]: df = tm.makeTimeDataFrame() In [10]: df.index Out[10]: <class 'pandas.tseries.index.DatetimeIndex'> [2000-01-03, ..., 2000-02-11] Length: 30, Freq: B, Timezone: None In [11]: df.loc[[]].index Out...
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7,775
BUG/ERR: raise on saving a multi-index with tz-info in fixed format for HDF5
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1
2014-07-17T13:54:41Z
2019-07-01T11:41:24Z
2019-07-01T11:41:24Z
CONTRIBUTOR
null
xref: #8165 http://stackoverflow.com/questions/24805307/losing-timezone-awareness-when-saving-hyerarchical-pandas-datetimeindex-to-hdf5/24805506#2480550 should raise NotImplementedError for now, or actually implement
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7,776
BUG: sum(level=0) not returning decimal columns when dataframe contains columns with NumPy and decimal datatypes
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1
2014-07-17T21:24:01Z
2014-07-17T22:36:56Z
2014-07-17T22:36:48Z
NONE
null
``` python import pandas as pd import numpy as np from decimal import * def make_currency(x): try: return Decimal(x).quantize(Decimal('.01')) except (InvalidOperation, TypeError) as e: return Decimal(0).quantize(Decimal('.01')) cols = {"c1": [1.23,2.34,3.45], "c2": [4,5,6], "c3": [1,2,3]} inde...
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38,131,341
MDU6SXNzdWUzODEzMTM0MQ==
7,777
BUG: select_column not preserving a UTC timezone
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7
2014-07-17T22:05:17Z
2014-09-03T13:57:26Z
2014-07-22T15:24:22Z
CONTRIBUTOR
null
I was having issues with lost tz-info when retrieving a DatetimeIndex from an HDF store using `store.select_column('data', 'index')`. I was able to track down the issue to `tseries/index.py` in the `Index._to_embed` method. The issue is ``` python def _to_embed(self, keep_tz=False): """ return an array r...
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38,131,343
MDU6SXNzdWUzODEzMTM0Mw==
7,778
BUG: df.apply handles np.timedelta64 as timestamp, should be timedelta
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7
2014-07-17T22:05:20Z
2014-07-18T01:00:41Z
2014-07-18T01:00:30Z
NONE
null
I think there may be a bug with the row-wise handling of `numpy.timedelta64` data types when using `DataFrame.apply`. As a check, the problem does not appear when using `DataFrame.applymap`. The problem may be related to #4532, but I'm unsure. I've included an example below. This is only a minor problem for my use-cas...
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38,136,597
MDExOlB1bGxSZXF1ZXN0MTg1NjEwNjk=
7,779
BUG: unwanted conversions of timedelta dtypes when in a mixed datetimelike frame (GH7778)
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6
2014-07-17T23:34:17Z
2014-07-18T01:00:30Z
2014-07-18T01:00:30Z
CONTRIBUTOR
null
closes #7778 TST: tests for internals/as_matrix() for all dtypes (including categoricals)
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38,149,983
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7,780
API: support `c` and `colormap` args for DataFrame.plot with kind='scatter'
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38
2014-07-18T05:52:42Z
2014-09-17T22:27:52Z
2014-09-11T19:48:42Z
MEMBER
null
`matplotlib.pyplot.scatter` supports the argument `c` for setting the color of each point. This patch lets you easily set it by giving a column name (currently you need to supply an ndarray to make it work, since pandas isn't aware of it): ``` df.plot('x', 'y', c='z', kind='scatter') ``` vs ``` df.plot('x', 'y', c=d...
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7,781
BUG: Prevent config paths to contain python keywords
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11
2014-07-18T09:42:40Z
2014-09-19T16:11:44Z
2014-09-19T12:22:30Z
NONE
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38,167,340
MDU6SXNzdWUzODE2NzM0MA==
7,782
BUG: tslib.tz_convert_single converts DST incorrectly
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8
2014-07-18T11:11:57Z
2014-08-03T21:26:08Z
2014-08-03T21:26:08Z
MEMBER
null
Apply `tz_convert_single` to the same time representation with different tz should be all `True`? ``` import pandas as pd import numpy as np import datetime import pytz for i in range(9): utc_dt = datetime.datetime(2014, 3, 9, i, 0, tzinfo=pytz.timezone('UTC')) tz_dt = datetime.datetime(2014, 3, 9, i, 0, tzin...
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7,783
Docs: Categorical docs fixups.
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2014-07-18T11:51:53Z
2014-07-18T12:02:33Z
2014-07-18T12:02:30Z
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7,784
Performance improvements for nunique method.
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7,785
BUG: Series.float divided by Series.interger (with 0's)
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2014-07-18T13:28:24Z
2014-07-18T14:32:38Z
2014-07-18T14:32:28Z
NONE
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# problem when denominator is interger type and has 0 element # no such problem with pandas <= 0.13.1 print pd.**version** print np.**version** testdata=pd.DataFrame({'TL': (1,0), 'PI': (-0.01,-0.02)}) print "--- direct pd.Series division (wrong) : \n", (testdata.PI)/testdata.TL print "--- np.where filtered (still wr...
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7,786
BUG: Bug in Series 0-division with a float and integer operand dtypes (GH7785)
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0
2014-07-18T14:01:14Z
2014-07-18T14:32:29Z
2014-07-18T14:32:28Z
CONTRIBUTOR
null
closes #7785
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38,180,448
MDU6SXNzdWUzODE4MDQ0OA==
7,787
BUG: setting new items with .loc doesn't work for constant sequences
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11
2014-07-18T14:23:04Z
2021-04-11T04:55:05Z
2021-04-11T04:55:05Z
NONE
null
One can construct DataFrame with frozensets in the index: ``` >>> import pandas >>> a = frozenset([1]) >>> b = frozenset([1, 2]) >>> c = frozenset([1, 2, 3]) >>> >>> frame = pandas.DataFrame(index=[a, b], columns=[c]) >>> frame (1, 2, 3) (1) NaN (1, 2) NaN ``` Setting new values for e...
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38,184,738
MDExOlB1bGxSZXF1ZXN0MTg1OTEwOTA=
7,788
Raise exception on non-unique column index in to_hdf for fixed format.
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6
2014-07-18T15:11:18Z
2014-08-18T18:40:23Z
2014-07-21T11:39:29Z
CONTRIBUTOR
null
Fixes #7761.
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7,789
BUG/COMPAT: pickled dtindex with freq raises AttributeError in normalize...
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3
2014-07-18T15:58:00Z
2014-07-19T13:13:34Z
2014-07-19T12:10:05Z
MEMBER
null
Closes #7748.
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7,790
BUG: read_column did not preserve UTC tzinfo
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13
2014-07-18T16:00:34Z
2014-07-22T15:26:00Z
2014-07-22T15:24:22Z
CONTRIBUTOR
null
BUG: Fixes #7777, HDFStore.read_column did not preserve timezone information when fetching a DatetimeIndex column with tz=UTC
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38,192,414
MDU6SXNzdWUzODE5MjQxNA==
7,791
MultiIndex DataFrame to_csv() ignores date_format
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7
2014-07-18T16:42:38Z
2015-11-11T03:20:28Z
2015-11-11T03:20:28Z
NONE
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Hi all, I'm running pandas 0.14.1: ## INSTALLED VERSIONS commit: None python: 3.4.1.final.0 python-bits: 64 OS: Windows OS-release: 8 machine: AMD64 processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel byteorder: little LC_ALL: None LANG: DE pandas: 0.14.1 nose: 1.3.3 Cython: 0.20.1 numpy: 1.8.1 scipy: 0.14...
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38,193,054
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7,792
API: enable set_levels/set_names/set_labels to accept a list and a level argument to change a single level/value
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3
2014-07-18T16:51:14Z
2014-07-30T22:13:57Z
2014-07-30T22:13:57Z
NONE
null
e.g. ``` set_names(self, names, inplace=False, level=None) set_levels(self, levels, level=None, copy=False, validate=True, verify_integrity=False ``` if `level` is not None then treat `levels/names` as a list (or list-of-lists if level is a list) and just set those levels. e.g. ``` set_names('foo',level=1) set_nam...
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7,793
BUG: multi-index with one level with a tz buggy
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1
2014-07-18T17:16:05Z
2014-07-19T09:10:42Z
2014-07-18T19:06:27Z
CONTRIBUTOR
null
related: #7791, #7792 (and I think this causes both) this is a dupe of #7746 ``` In [8]: df = DataFrame(np.arange(6).reshape(6,1),index=MultiIndex.from_product([['a','b'],date_range('20130101',periods=3,tz='Europe/Berlin')])) In [9]: df Out[9]: 0 a 2013-01-01 00:00:00+01:00 0 2013-01...
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7,794
BUG: fix reading pre-0.14.1 pickles of containers with one block and dup items
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7
2014-07-18T17:45:02Z
2014-07-29T10:04:36Z
2014-07-21T11:42:08Z
CONTRIBUTOR
null
Series, frames and panels that contain only one block can be unpickled under the assumption that block items correspond to manager items 1-to-1 (as pointed out in #7329). I still don't have any of darwin/win/32bit platforms at hand, so I cannot post those pickles. Also, my linux has a fresher python than indicated by...
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7,795
BUG: concat of objects with the same timezone get reset to UTC
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2014-07-18T18:02:58Z
2016-11-11T18:31:21Z
2016-09-03T09:20:29Z
CONTRIBUTOR
null
http://stackoverflow.com/questions/24830952/changing-timezone-on-pandas-datetimeindex-when-concatenating-dataframes-in-pytho ``` ix1 = pd.DatetimeIndex(start=pd.Timestamp('20140715', tz='EST5EDT'), end=pd.Timestamp('20140717', tz='EST5EDT'), freq='D', tz='EST5EDT') ix2 = pd.DatetimeIndex([pd.Timestamp('2014-07-11 00:0...
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38,201,636
MDU6SXNzdWUzODIwMTYzNg==
7,796
BUG: support/test of PeriodIndex in HDFStore
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13
2014-07-18T18:42:18Z
2021-11-06T19:44:16Z
null
NONE
null
Works for 'fixed' buggy for 'table' need explicit test for both This may be a MultiIndex issue. ``` In [7]: weeklyPrices.head() Out[7]: price week id 2013-07-28/2013-08-03 0002189585 15.26 2013-08-04/2013-08...
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7,797
matching a downsampled index
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8
2014-07-18T20:23:07Z
2014-07-19T12:10:11Z
2014-07-19T12:10:11Z
CONTRIBUTOR
null
Is there any way to downsample(i.e.) go from minutes to hours, hours to minute when performing an operation between to dataframes? In finance, there are questions like what is my overnight return right now so you may want to compute all returns at a time period using the reference point yesterday's price at 16:00 My ...
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38,217,655
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7,798
BUG: tslib.tz_convert and tslib.tz_convert_single may output different result in DST
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13
2014-07-18T22:36:18Z
2014-08-04T13:18:25Z
2014-08-03T01:41:58Z
MEMBER
null
These functions may return different result in case of DST. There seems to be 2 problems: - `tslib.tz_convert` checks DST and change `deltas` by adjusting `pos` by 1. If input has time-gaps more than 2 DST spans, result will be incorrect. - `tslib.tz_convert_single` results incorrect if input is just on DST edge. ``` ...
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https://api.github.com/repos/pandas-dev/pandas/issues/7799
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38,221,227
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7,799
dropna method added to Index.
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2014-07-19T00:03:14Z
2014-07-19T00:04:05Z
2014-07-19T00:04:05Z
CONTRIBUTOR
null
ref pydata/pandas#6194 ref pydata/pandas#7784
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7,800
Correct docs structure in indexing docs.
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2014-07-19T07:55:11Z
2014-07-19T12:07:41Z
2014-07-19T12:07:37Z
CONTRIBUTOR
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