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https://api.github.com/repos/pandas-dev/pandas/issues/13804 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13804/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13804/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13804/events | https://github.com/pandas-dev/pandas/pull/13804 | 167,635,116 | MDExOlB1bGxSZXF1ZXN0Nzg4NzE1NzM= | 13,804 | CLN: Removed the kwds param in to_csv | {
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cc @gfyoung (just so you know I changed this for future reference)
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import pandas as pd
```
#Create sample dataframe
test = pd.DataFrame({"a":["12", float("nan"), "3", "meow" ]})
# Select rows that are null or numeric:
print len(test[ test["a"].isnull() | test["a"].str.isnumeric()])
# Select rows that are numeric or null
print l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13807 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13807/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13807/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13807/events | https://github.com/pandas-dev/pandas/pull/13807 | 167,693,696 | MDExOlB1bGxSZXF1ZXN0Nzg5MTI0OTg= | 13,807 | DOC: contributing: explain how to set the asv reporting threshold | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-26T19:41:47Z | 2016-07-27T09:37:44Z | 2016-07-27T09:37:43Z | CONTRIBUTOR | null | The default `asv continuous` reporting threshold is 100% change (2x), which probably is far too large for pandas use case, so instruct how to set it lower. (Probably the asv default should be changed, but that's a different issue.)
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>>> import pandas as pd
>>> from collections import OrderedDict
>>> od = [OrderedDict([('z', 0), ('a', 1), ('*', 2)])]
>>> pd.DataFrame(od)
* a z
0 2 1 0
>>> pd.DataFrame.from_dict(od)
* a z
0 2 1 0
```
If OrderedDicts are used, I would expect the column order of the first OrderDict that is ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13810 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13810/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13810/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13810/events | https://github.com/pandas-dev/pandas/pull/13810 | 167,744,692 | MDExOlB1bGxSZXF1ZXN0Nzg5NDk0MzE= | 13,810 | DOC: Fix groupby nth | {
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- [x] passes `git diff upstream/master | flake8 --diff`
Current API doc looks incorrect. Fixed it to meet #11039.
- http://pandas-docs.github.io/pandas-docs-travis/generated/pandas.core.groupby.GroupBy.nth.html
cc @behzadnouri
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df.columns
Index([u'a', u'b', u'c', u'd'], dtype='object')
Dont do this, looks like a bug.
df.columns.drop(["b"]).insert(-1, 'b')
Index([u'a', u'c', u'b', u'd'], dtype='object')
df.columns.drop(["b"]).insert(-1, 'x')
Index([u'a', u'c', u'x', u'd'], dtype='... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13813/events | https://github.com/pandas-dev/pandas/issues/13813 | 167,798,041 | MDU6SXNzdWUxNjc3OTgwNDE= | 13,813 | Groupby and shift causing coredump | {
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I have attempted to reduce this to the smallest example that exhibits this issue - rather than a useful example. The problem is that the operation causes python to core dump.
In the original case in which I discovered this the core dump would only occur sometimes (and when I put it in a loop it would occur on di... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13814/events | https://github.com/pandas-dev/pandas/pull/13814 | 167,827,838 | MDExOlB1bGxSZXF1ZXN0NzkwMDUwMjA= | 13,814 | TST: AmbiguousTimeError with set_index() | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
this has been fixed by #13750. added tests.
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https://api.github.com/repos/pandas-dev/pandas/issues/13815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13815/events | https://github.com/pandas-dev/pandas/pull/13815 | 167,828,387 | MDExOlB1bGxSZXF1ZXN0NzkwMDUzOTU= | 13,815 | BLD: use tempita for hashtable | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/13816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13816/events | https://github.com/pandas-dev/pandas/issues/13816 | 167,835,617 | MDU6SXNzdWUxNjc4MzU2MTc= | 13,816 | pd.Series.min(skipna=True) is not working on a slice | {
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"color": "005... | closed | false | null | [] | null | 2 | 2016-07-27T11:52:32Z | 2016-07-27T21:29:47Z | 2016-07-27T21:29:36Z | NONE | null | #### Code Sample, a copy-pastable example if possible
``` Python
s = pd.Series(data=[1, 3, datetime(2016,7,27).date(), datetime(2015,7,27).date(), datetime(2017,7,27).date(), np.nan])
s
0 1
1 3
2 2016-07-27
3 2015-07-27
4 2017-07-27
5 NaN
dtype: object
s.iloc[2:]
2 201... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13817/events | https://github.com/pandas-dev/pandas/issues/13817 | 167,841,999 | MDU6SXNzdWUxNjc4NDE5OTk= | 13,817 | BUG: df.to_dict('record') casts ints to floats | {
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"color": "009... | closed | false | null | [] | null | 2 | 2016-07-27T12:31:03Z | 2016-07-27T13:07:15Z | 2016-07-27T13:07:10Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
df = pd.DataFrame({"a": [1, 2], "b": [42, 65], "c": [0.5, 0.4]})
df.to_dict("records")
>>> [{'a': 1.0, 'b': 42.0, 'c': 0.5},
{'a': 2.0, 'b': 65.0, 'c': 0.40000000000000002}]
```
#### Expected Output
```
[{'a': 1, 'b': 42, 'c': 0.5},
{'a': 2, 'b': 65, 'c'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13818/events | https://github.com/pandas-dev/pandas/issues/13818 | 167,848,378 | MDU6SXNzdWUxNjc4NDgzNzg= | 13,818 | DataFrame - Add chunksize to from_records() | {
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Currently the from_records does not take a chunksize.
```
import pandas as pd
df = pd.DataFrame.from_records(data, index=None, exclude=None,
columns=None,
coerce_float=False,
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https://api.github.com/repos/pandas-dev/pandas/issues/13819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13819/events | https://github.com/pandas-dev/pandas/pull/13819 | 167,849,213 | MDExOlB1bGxSZXF1ZXN0NzkwMjA1NzI= | 13,819 | BUG: group_shift_indexer checks for null group keys | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/13820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13820/events | https://github.com/pandas-dev/pandas/issues/13820 | 167,885,574 | MDU6SXNzdWUxNjc4ODU1NzQ= | 13,820 | ERR: better error message on invalid return from .apply | {
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``` python
def apply_list (row):
return [2*row['A'], 4*row['C'], 3*row['B']]
df = pd.DataFrame(np.random.randn(6,4), columns=list('ABCD'))
df['E'] = pd.Timestamp('20130102')
df['L'] = df.apply(apply_list, axis=1)
```
#### (Wrong) Error Output
```
ValueError: Shape of passed values is (6, 3), i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13821/events | https://github.com/pandas-dev/pandas/issues/13821 | 167,887,642 | MDU6SXNzdWUxNjc4ODc2NDI= | 13,821 | 'groupby' multiple columns and 'sum' multiple columns with different types | {
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"followers_url": "https://api.github... | 7 | 2016-07-27T15:45:39Z | 2018-11-08T15:09:15Z | 2018-11-08T15:08:41Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
from decimal import *
import pandas as pd
df = pd.DataFrame(
{'name': ['foo', 'bar', 'foo', 'bar'],
'title': ['boo', 'far', 'boo', 'far'],
'id': [123, 456, 123, 456],
'int_column': [1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13822/events | https://github.com/pandas-dev/pandas/issues/13822 | 167,930,557 | MDU6SXNzdWUxNjc5MzA1NTc= | 13,822 | KeyError shows incorrect column name when DataFrame has duplicate columns | {
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"color": "ff... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-07-27T19:02:37Z | 2020-02-14T10:34:14Z | 2016-08-02T10:50:50Z | CONTRIBUTOR | null | ``` python
>>> import pandas as pd
>>> df = pd.DataFrame({'x': [1.], 'y': [2.], 'z': [3.]})
>>> df.columns = ['x', 'x', 'z']
>>> df[['x', 'y', 'z']]
KeyError: "['z'] not in index"
```
I expected to see `KeyError: "['y'] not in index"`.
I've tested this on the latest code in master (and on 0.16):
```
>>> pd.show_vers... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13823/events | https://github.com/pandas-dev/pandas/issues/13823 | 167,979,708 | MDU6SXNzdWUxNjc5Nzk3MDg= | 13,823 | API: Add support for PEP 519 | {
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... | 3 | 2016-07-27T23:24:55Z | 2017-05-18T21:06:27Z | 2017-05-18T21:06:27Z | NONE | null | File System Path Protocol has been accepted and implemented into Python 3.6, a backwards compatibility layer to support the introduced PEP 519 for python version < 3.6.
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https://api.github.com/repos/pandas-dev/pandas/issues/13824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13824/events | https://github.com/pandas-dev/pandas/issues/13824 | 168,018,106 | MDU6SXNzdWUxNjgwMTgxMDY= | 13,824 | Mixing bars and lines in a time series plot clobbers the xaxis tick values? | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-07-28T05:52:17Z | 2016-07-28T06:13:20Z | 2016-07-28T06:12:38Z | NONE | null | All rendered in a jupter notebook with `%matplotlib inline`
The following non-time series plot works fine
``` python
dd = pd.DataFrame({'a':[-1,1,2], 'b':[3,2,3]})
fig, ax = plt.subplots()
dd.a.plot.bar(ax=ax)
dd.b.plot(ax=ax)
```
The following timeseries variant results in the bars not appearing on the plot, but... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13825/events | https://github.com/pandas-dev/pandas/issues/13825 | 168,047,773 | MDU6SXNzdWUxNjgwNDc3NzM= | 13,825 | Feature suggestion: flexible merge by function | {
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"de... | closed | false | null | [] | null | 4 | 2016-07-28T09:09:11Z | 2019-10-09T05:12:40Z | 2019-10-09T05:12:40Z | NONE | null | It would be really convenient to allow the **on**, **left_on** and **right_on** arguments of **pandas.merge** being a function, with the following suggested signatures:
Arguments:
- **index** (pandas.Index)
- **row** (pandas.Series)
They will return an hashable object (of any dtype) to be compared against the other d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13826/events | https://github.com/pandas-dev/pandas/issues/13826 | 168,054,847 | MDU6SXNzdWUxNjgwNTQ4NDc= | 13,826 | Feature suggestion: custom DataFrame HTML display (for IPython notebook) | {
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"color": "AD7FA... | closed | false | null | [] | null | 8 | 2016-07-28T09:44:51Z | 2017-08-10T10:49:28Z | 2017-08-10T10:49:28Z | NONE | null | I looked briefly at your new custom styling feature from version 0.17.1 (http://pandas.pydata.org/pandas-docs/stable/style.html). I'm excited about the possibilities of custom styling and all the benefits it would allow researchers, but I feel that the current interface is somewhat non-intuitive and limited.
I would li... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13827/events | https://github.com/pandas-dev/pandas/pull/13827 | 168,087,963 | MDExOlB1bGxSZXF1ZXN0NzkxODk5NzI= | 13,827 | COMPAT: Categorical Subclassing | {
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"color": "e11d2... | closed | false | null | [] | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
It allows to subclass `Categorical` related to #8640. Shoud it use `_simple_new` or `_constructor`?
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https://api.github.com/repos/pandas-dev/pandas/issues/13828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13828/events | https://github.com/pandas-dev/pandas/issues/13828 | 168,101,167 | MDU6SXNzdWUxNjgxMDExNjc= | 13,828 | to_html ignores na_rep when float_format set | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2016-07-28T13:53:34Z | 2020-10-24T02:49:08Z | 2020-10-24T02:49:08Z | NONE | null | #### Code Sample, a copy-pastable example if possible
http://stackoverflow.com/questions/23700835/pandas-to-html-no-value-representation
df = pd.DataFrame([['A',1.2225],['A',]], columns=['Group','Data'])
df.to_html(na_rep="Ted",float_format='{0:.2f}'.format)
#### Expected Output
<table border="1" class="dataframe">
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13829 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13829/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13829/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13829/events | https://github.com/pandas-dev/pandas/issues/13829 | 168,117,851 | MDU6SXNzdWUxNjgxMTc4NTE= | 13,829 | Incorrect timedelta type coercion when doing in-place .loc expansion | {
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... | 2 | 2016-07-28T15:00:13Z | 2019-10-21T19:52:16Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
``` python
In [1]: import pandas as pd
In [2]: d = pd.DataFrame(columns=list('abc'))
In [3]: d.loc[0] = dict(a=pd.to_timedelta(5, unit='s'),
b=pd.to_timedelta(72, unit='s'),
c='23')
In [4]: d
Out[4]:
a ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13830/events | https://github.com/pandas-dev/pandas/issues/13830 | 168,127,044 | MDU6SXNzdWUxNjgxMjcwNDQ= | 13,830 | Inconsistent types in output of series.to_dict() and DataFrame([series]).loc[0].to_dict() | {
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"color": "005... | closed | false | null | [] | null | 3 | 2016-07-28T15:36:10Z | 2016-07-28T16:41:28Z | 2016-07-28T16:40:17Z | NONE | null | `to_dict()` extracts the elements from a Series as different types depending on whether or not the series was accessed by, e.g. `loc[0]` on a DataFrame or not:
``` python
>>> s = pd.Series({'a': None, 'b': 99, 'c': 'hello'})
>>> df = pd.DataFrame([s])
>>> [type(v) for k, v in s.to_dict().items()]
[NoneType, str, int]
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https://api.github.com/repos/pandas-dev/pandas/issues/13831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13831/events | https://github.com/pandas-dev/pandas/issues/13831 | 168,219,048 | MDU6SXNzdWUxNjgyMTkwNDg= | 13,831 | Series.loc/iloc[x, y] does not raise exception | {
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... | 4 | 2016-07-28T23:21:52Z | 2020-03-30T18:49:31Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```
df = pd.DataFrame({'a': [10]})
# df['a'] is a series, can be indexed with 1 index only
# will raise IndexingError, as expected
df['a'].iloc[0, 0]
df['a'].loc[0, 0]
# will raise nothing, not as expected
df['a'].iloc[0, 0] = 1000 # equivalent to pass
df['a'].lo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13832/events | https://github.com/pandas-dev/pandas/pull/13832 | 168,275,980 | MDExOlB1bGxSZXF1ZXN0NzkzMjQyNzI= | 13,832 | BUG: Don't error in pd.to_timedelta when errors=ignore | {
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... | closed | false | null | [] | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13833/events | https://github.com/pandas-dev/pandas/pull/13833 | 168,309,203 | MDExOlB1bGxSZXF1ZXN0NzkzNDgyNDU= | 13,833 | TST: A test to cover fault in issue #5291 | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-07-29T11:56:44Z | 2017-11-06T02:01:14Z | 2016-08-02T05:37:04Z | CONTRIBUTOR | null | The mentioned issue faulted under similar conditions as issue #13703, and was also fixed by PR #13788. This PR just adds a test to replicate the fault, as discussed in the issue's thread.
- [x] closes #5291
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
This PR ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13834/events | https://github.com/pandas-dev/pandas/issues/13834 | 168,317,305 | MDU6SXNzdWUxNjgzMTczMDU= | 13,834 | [BUG]: Wrong unix timestamp parsing with floating point using pd.to_datetime | {
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... | 3 | 2016-07-29T12:48:05Z | 2016-08-09T21:48:25Z | 2016-08-09T21:48:25Z | NONE | null | Hello!
I'm trying to parse floating point timestamps with `pd.to_datetime` but the only way that it works is using the **deprecated parameter** `coerce=True`
For example, without `coerce=True` the result is wrong.
``` python
>>> pd.to_datetime(1.1, unit='s') # Expected result Timestamp('1970-01-01 00:00:01.100000')... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13836/events | https://github.com/pandas-dev/pandas/pull/13836 | 168,357,108 | MDExOlB1bGxSZXF1ZXN0NzkzODI3Mjg= | 13,836 | BUG: Fix edge cases in merge_asof() by comparing factorized keys (#13709) | {
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"followers_url": "https://api.github.com/users/jr... | 16 | 2016-07-29T15:57:25Z | 2016-08-01T20:56:59Z | 2016-08-01T20:56:54Z | CONTRIBUTOR | null | closes #13709
Also removes unnecessary check_duplicates.
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https://api.github.com/repos/pandas-dev/pandas/issues/13839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13839/events | https://github.com/pandas-dev/pandas/issues/13839 | 168,361,477 | MDU6SXNzdWUxNjgzNjE0Nzc= | 13,839 | Problem reading one-column files with guessed separator | {
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"descript... | closed | false | null | [] | null | 9 | 2016-07-29T16:19:20Z | 2016-08-01T15:09:12Z | 2016-08-01T14:47:52Z | NONE | null | #### Code Sample, a copy-pastable example if possible
Create a simple csv file:
----- C:\myfile.csv
name
1
2
3
4
----- C:\myfile.csv
And run:
pd.read_csv("C:\myfile.csv", encoding = "ISO-8859-1", sep = None, engine = "python")
This triggers an error:
ValueError: Expected 2 fields in line 2, saw 1
If a specific separat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13841/events | https://github.com/pandas-dev/pandas/issues/13841 | 168,367,243 | MDU6SXNzdWUxNjgzNjcyNDM= | 13,841 | Arithmetic Broadcasting | {
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] | closed | false | null | [] | null | 3 | 2016-07-29T16:49:07Z | 2016-07-29T17:06:41Z | 2016-07-29T16:52:00Z | NONE | null | Okay, so the following "new" syntax is fine.
import pandas as pd
import random as randy
df = pd.DataFrame({'A': range(1000), 'B': randy.sample(range(1000),1000)},\
index=randy.sample(pd.date_range('2013-02-01 09:00:00.000000',periods=1e6,freq='U'),1000)).sort_index()
df.sub(df['A'],axis=0)
But, at ... | {
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... | 32 | 2016-07-29T18:31:41Z | 2018-11-17T22:55:26Z | 2018-11-17T22:55:25Z | NONE | null | ### Small Example
``` python
In [13]: import pandas as pd
...:
...: df1 = pd.DataFrame(data=dict(A=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
...: B=[1, 1, 2, 2, 2, 3, 1, 1, 1, 2, 3, 4],
...: C=[1, 2, 1, 2, 3, 2, 1, 2, 3, 2, 1, 4],
...: ... | {
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#### Code Sample, a copy-pastable example if possible
```
pd.Series([1]) // pd.Series([0])
#0 inf
# dtype: float64
pd.Index([1]) // pd.Index([0])
# Int64Index([0], dtype... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13844 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13844/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13844/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13844/events | https://github.com/pandas-dev/pandas/issues/13844 | 168,413,927 | MDU6SXNzdWUxNjg0MTM5Mjc= | 13,844 | Empty dataset: typerror ufunc add cannot use operands with types dtype('<M8[ns]') and dtype('O') | {
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``` python
from pandas import DataFrame, to_datetime, to_timedelta
data = {'Item': [1], 'Date_Time': ['2/8/2015 6:00:30'], 'Relative_Time': 20}
dtf = DataFrame(data=data)
print(dtf)
dtf = dtf[dtf.Item == 2] # if the filter returns empty dataset expected result... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13845 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13845/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13845/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13845/events | https://github.com/pandas-dev/pandas/pull/13845 | 168,416,363 | MDExOlB1bGxSZXF1ZXN0Nzk0MjU3MTc= | 13,845 | BUG: fixes 13822, incorrect KeyError string with non-unique columns w… | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-29T21:17:14Z | 2016-08-02T10:50:51Z | 2016-08-02T10:50:50Z | CONTRIBUTOR | null | - [x] closes #13822
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Made changes to fix the bug related to accessing columns in a df with duplicate columns where the KeyError string was returning the wrong column.
The test that I added passed, but there seems ... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
cc: @janschulz, @sinhrks
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https://api.github.com/repos/pandas-dev/pandas/issues/13847 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13847/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13847/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13847/events | https://github.com/pandas-dev/pandas/pull/13847 | 168,434,324 | MDExOlB1bGxSZXF1ZXN0Nzk0MzkwMDI= | 13,847 | BUG: Fixed float parsing with unit when using pd.to_datetime (GH13834) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13848 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13848/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13848/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13848/events | https://github.com/pandas-dev/pandas/pull/13848 | 168,460,090 | MDExOlB1bGxSZXF1ZXN0Nzk0NTM2MzI= | 13,848 | ENH: add sparse op for int64 dtypes | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
As a first step for #667, numeric op can now preserve `int64` dtype. On current master, dtype is reset to `float64` after op.
```
# current master
a = pd.SparseArray([1, 2], dtype=np.int64)
a.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13849/events | https://github.com/pandas-dev/pandas/pull/13849 | 168,460,877 | MDExOlB1bGxSZXF1ZXN0Nzk0NTQwNTA= | 13,849 | ENH: Sparse int64 and bool dtype support enhancement | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Currently, sparse doesn't support `int64` and `bool` dtypes actually. When `int` or `bool` values are passed, it is coerced to `float... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13850/events | https://github.com/pandas-dev/pandas/pull/13850 | 168,473,800 | MDExOlB1bGxSZXF1ZXN0Nzk0NjA2NTU= | 13,850 | Allow users to specify whether gbq should use standard SQL | {
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- [ x ] tests added / passed
- [ x ] passes `git diff upstream/master | flake8 --diff`
- [ x ] whatsnew entry
All gbq tests passed locally
```
tony@tonypc:~/parthea-pandas/pandas/io/tests$ nosetests test_gbq.py -v
test_import_google_api_python_client (pandas.io.tests.test_gbq.GBQUnitTests) ... o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13851/events | https://github.com/pandas-dev/pandas/issues/13851 | 168,476,795 | MDU6SXNzdWUxNjg0NzY3OTU= | 13,851 | DataFrame.rolling.apply does not appear to support kwargs | {
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``` python
import pandas as pd
import numpy as np
def subtract_custom_value(x, custom_value, debug=False):
return x-custom_value
# this works (no rolling)
series = pd.Series([20, 21, 12])
series.apply(subtract_custom_value, args=(5,), debug=True)
# this comp... | {
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In [4]: pd.__version__
Out[4]: u'0.18.1'
```
The docstring for Series.replace refers to looking up column names, which AFAIK doesn't make sense for the Series version of `replace`. It seems like the Series function is just blindly inheriting the DataFrame docstring?
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
When ufunc is applied to sparse, it is not applied to `fill_value`. Thus results are incorrect.
**on current master:**
```
np.abs(pd.SparseArray([1, -2, -1], fill_value=-2))
# [1.0, -2, 1.0]
# Fill: -2
# IntIndex
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https://api.github.com/repos/pandas-dev/pandas/issues/13854 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13854/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13854/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13854/events | https://github.com/pandas-dev/pandas/pull/13854 | 168,493,496 | MDExOlB1bGxSZXF1ZXN0Nzk0NzE2ODE= | 13,854 | BUG: Preserve categorical dtypes in MultiIndex levels (#13743) | {
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- [x] tests added / passed
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This commit modifies `MultiIndex.from_array` and `MultiIndex.from_product`.
Example:
``` python
cat = pd.Categorical(['a', 'b'], categories=list("bac"), ordered=True)
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Title is self-explanatory.
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Just a WIP for now, will need to iterate on the CI stuff to ensure that's all good.
What can I provide to make this easier to review? Refactoring te... | {
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Passing mode='w' to read_hdf raises ValueError.
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Closes #2741.
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https://api.github.com/repos/pandas-dev/pandas/issues/13860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13860/events | https://github.com/pandas-dev/pandas/issues/13860 | 168,542,649 | MDU6SXNzdWUxNjg1NDI2NDk= | 13,860 | `read_csv` with character `"` | {
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Input file: (content of `example` file)
```
a1 b1 c1 d1
" c y z
a3 b3 c3 d3
" d4 s4 d4
```
Code:
``` python
extb = pd.read_csv('example', encoding='utf8', sep='\t', header=None); extb[:]
```
Output:
```
0 1 2 3
0 a1 b1 c1 d1
1 \tc\... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13861/events | https://github.com/pandas-dev/pandas/pull/13861 | 168,553,539 | MDExOlB1bGxSZXF1ZXN0Nzk1MDQ4NTg= | 13,861 | BUG: loffset not applied when using resample with agg() (GH13218) | {
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"followers_url": "https://api.github.com/users/jr... | 12 | 2016-08-01T02:13:15Z | 2016-08-22T22:39:12Z | 2016-08-13T22:46:07Z | CONTRIBUTOR | null | - [x] closes #13218
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/13862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13862/events | https://github.com/pandas-dev/pandas/issues/13862 | 168,614,724 | MDU6SXNzdWUxNjg2MTQ3MjQ= | 13,862 | Add setting for switching between "production" and "interactive" mode | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13863/events | https://github.com/pandas-dev/pandas/issues/13863 | 168,619,070 | MDU6SXNzdWUxNjg2MTkwNzA= | 13,863 | COMPAT: windows builds breaking after #13788 | {
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looks like a pointer specification, see #13788
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https://api.github.com/repos/pandas-dev/pandas/issues/13864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13864/events | https://github.com/pandas-dev/pandas/pull/13864 | 168,620,404 | MDExOlB1bGxSZXF1ZXN0Nzk1NTA0OTA= | 13,864 | CLN: Removed / filled stub read_csv tests | {
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xref #4782
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https://api.github.com/repos/pandas-dev/pandas/issues/13865 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13865/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13865/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13865/events | https://github.com/pandas-dev/pandas/pull/13865 | 168,641,445 | MDExOlB1bGxSZXF1ZXN0Nzk1NjUxMTM= | 13,865 | BLD: Fixed pointer ambiguity in 'tokenizer.c' | {
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"followers_url": "https://api.github.com/users/jr... | 6 | 2016-08-01T13:07:23Z | 2016-08-01T20:01:29Z | 2016-08-01T20:00:45Z | CONTRIBUTOR | null | - [x] closes build compatibility issue #13863
- [x] tests added / passed (see notes)
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry (No whatsnew entry was necessary)
## notes
The branch was tested on win7 64bit virtual machine with anaconda 4.1.1 both with python 2.7 (VS2008) and with py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13866 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13866/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13866/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13866/events | https://github.com/pandas-dev/pandas/pull/13866 | 168,645,518 | MDExOlB1bGxSZXF1ZXN0Nzk1Njc5MTY= | 13,866 | BUG: SparseDataFrame may not preserve passed dtype | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
`SparseDataFrame` may reset passed sparse data's `dtype` and `fill_value` as below.
**on current master:**
```
arr = pd.SparseArray([1, 0, 3, 0], dtype=np.int64, fill_value=0)
# OK, dtype and fill_value are kept
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13867 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13867/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13867/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13867/events | https://github.com/pandas-dev/pandas/pull/13867 | 168,652,311 | MDExOlB1bGxSZXF1ZXN0Nzk1NzI3NDI= | 13,867 | TST: use types.api in plotting | {
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- [x] passes `git diff upstream/master | flake8 --diff`
remove warning related to #13147 and #13621
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Follow-up to #13590. Remove legacy offset aliases that remained in `pandas/tseries/frequencies.py`: `_period_alias_dictionary()` and `_period_alias_dict`.
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https://api.github.com/repos/pandas-dev/pandas/issues/13869 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13869/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13869/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13869/events | https://github.com/pandas-dev/pandas/issues/13869 | 168,675,819 | MDU6SXNzdWUxNjg2NzU4MTk= | 13,869 | BUG: DataFrame.loc[i:j] works differently for DatetimeIndex | {
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... | 7 | 2016-08-01T15:36:54Z | 2019-05-13T00:28:41Z | 2019-05-13T00:28:41Z | CONTRIBUTOR | null | This code all "works," but in a surprising way:
```
import pandas as pd
t0 = 1234567890123400000
df1 = pd.DataFrame(index=pd.DatetimeIndex([t0, t0 + 1000, t0 + 2000, t0 + 3000]))
df2 = pd.DataFrame(index=range(4))
df1.loc[:2, 'a'] = np.arange(2)
df2.loc[:2, 'a'] = np.arange(3)
```
We create `df1` with a DatetimeIndex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13870 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13870/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13870/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13870/events | https://github.com/pandas-dev/pandas/issues/13870 | 168,686,685 | MDU6SXNzdWUxNjg2ODY2ODU= | 13,870 | DOC: link to install instructions in README.md | {
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---
I'm not sure what the expectation is here, but it seems to me that something's not right... The [installation instructions](https://github.com/pydata/pandas/#where-to-get-it) say ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13871 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13871/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13871/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13871/events | https://github.com/pandas-dev/pandas/issues/13871 | 168,697,036 | MDU6SXNzdWUxNjg2OTcwMzY= | 13,871 | ERR: more informative error messages on invalid freq for Period when they are point-in-time | {
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... | 4 | 2016-08-01T17:19:59Z | 2021-05-07T20:41:10Z | null | CONTRIBUTOR | null | `Period` and `PeriodIndex` raise `ValueError` when `freq` is any of the following strings:
```
'BM', 'CBM', 'MS', 'BMS', 'CBMS', 'BQ', 'QS', 'BQS', 'BA', 'AS', 'BAS', 'BH'
```
`date_range` is fine in all cases. Also confirmed on `master`.
Possible related to #4878.
#### Code Sample, a copy-pastable example if possib... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13872 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13872/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13872/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13872/events | https://github.com/pandas-dev/pandas/issues/13872 | 168,731,211 | MDU6SXNzdWUxNjg3MzEyMTE= | 13,872 | ERR: set errno in read_csv | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2016-08-01T20:12:12Z | 2021-05-17T15:17:30Z | 2021-05-17T15:17:29Z | NONE | null | The same is true for Pandas on Python 2.7 with except IOError and on Python 3.5 with OSError. The following is how to reproduce the bug on Python 3.5.
Pandas is not reporting any errno within the exceptions. As a result, there is no way to differentiate between File Not Found Error (ENOENT) and other types of OSError... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13873 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13873/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13873/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13873/events | https://github.com/pandas-dev/pandas/issues/13873 | 168,736,116 | MDU6SXNzdWUxNjg3MzYxMTY= | 13,873 | .iloc[:] and .loc[:] return the original object | {
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``` python
# on pandas 0.18.1
import pandas as pd
df = pd.DataFrame({'x': range(3)})
assert df.iloc[:] is df
assert df.loc[:] is df
series = df.x
assert series.iloc[:] is series
assert series.loc[:] is series
```
Instead, for the sake of predictability, these should always return ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13874 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13874/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13874/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13874/events | https://github.com/pandas-dev/pandas/pull/13874 | 168,744,446 | MDExOlB1bGxSZXF1ZXN0Nzk2MzgyODk= | 13,874 | BUG: Fix Period and PeriodIndex support of combined offsets aliases | {
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"followers_url": "https://api.github.com/users/jr... | 21 | 2016-08-01T21:16:57Z | 2016-08-08T14:12:32Z | 2016-08-08T14:11:31Z | CONTRIBUTOR | null | - [x] closes #13730
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Essentially, makes sure any `freq` string passed to a `Period` or `PeriodIndex` goes through [`_Period._maybe_convert_freq()`](https://github.com/pydata/pandas/blob/master/pandas/src/period.pyx#L... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13875/events | https://github.com/pandas-dev/pandas/issues/13875 | 168,752,866 | MDU6SXNzdWUxNjg3NTI4NjY= | 13,875 | API: consider better decorator option | {
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... | 12 | 2016-08-01T22:02:20Z | 2020-09-22T22:33:48Z | 2020-09-22T22:33:47Z | CONTRIBUTOR | null | It's not an issue in py3.5, but in older versions this is annoying - because a decorator is used in the definition, the function signature on `to_datetime` is lost. This is the big one I've run into, but there may be some other places in the API it comes up.
![image](https://cloud.githubusercontent.com/assets/1924092/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13876 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13876/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13876/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13876/events | https://github.com/pandas-dev/pandas/pull/13876 | 168,768,434 | MDExOlB1bGxSZXF1ZXN0Nzk2NTU5NTQ= | 13,876 | BUG: Series creation with datetime64 with non-ns unit as object dtype | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
found a bug related to `datetime64` with non-ns unit.
```
# OK
pd.Series(np.array([np.datetime64('2011-01-01')]))
#0 2011-01-01
# dtype: datetime64[ns]
# OK
pd.Series([np.datetime64('2011-01-01')], dtype=object)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13877/events | https://github.com/pandas-dev/pandas/issues/13877 | 168,780,337 | MDU6SXNzdWUxNjg3ODAzMzc= | 13,877 | ERR/API: non-string types | {
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... | 8 | 2016-08-02T01:37:11Z | 2019-06-01T15:03:08Z | 2019-06-01T15:03:08Z | CONTRIBUTOR | null | xref #5602, #9343, #13806 (comments)
#### Code Sample, a copy-pastable example if possible
```
In [2]: s = pd.Series(['a', 123, 'b'])
In [3]: s.str.startswith('a')
Out[3]:
0 True
1 NaN
2 False
dtype: object
```
#### Expected Output
raise an exception
Reasoning: If I provide NaN, it's okay to return NaN, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13878/events | https://github.com/pandas-dev/pandas/pull/13878 | 168,814,144 | MDExOlB1bGxSZXF1ZXN0Nzk2ODU2NDc= | 13,878 | solve list cannot add to tuple error in make_signature function | {
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] | closed | false | null | [] | null | 5 | 2016-08-02T07:07:05Z | 2016-10-28T14:58:29Z | 2016-10-28T14:58:29Z | NONE | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/13879 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13879/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13879/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13879/events | https://github.com/pandas-dev/pandas/issues/13879 | 168,830,724 | MDU6SXNzdWUxNjg4MzA3MjQ= | 13,879 | skipfooter doesn't really "skip" in read_csv | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-08-02T08:45:43Z | 2016-11-29T21:19:56Z | 2016-11-29T21:18:28Z | MEMBER | null | On `master`:
``` python
from pandas import read_csv
from pandas.compat import StringIO
data = 'a,b,c\ncat,foo,bar\ndog,foo,"baz' # Note the stray quotation mark
read_csv(StringIO(data), engine='python', skipfooter=1)
...
_csv.Error: unexpected end of data
```
If we were truly "skipping" the last row, no error should... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13880/events | https://github.com/pandas-dev/pandas/issues/13880 | 168,832,743 | MDU6SXNzdWUxNjg4MzI3NDM= | 13,880 | Series.idxmax() and Series.max() show inconsistent behaviour with pd.np.Inf | {
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``` python
>>> from pandas import DataFrame
>>> s = pd.Series([0,5,pd.np.Inf])
>>> s.max() == s.ix[s.idxmax()]
```
This snippet will return `... | {
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] | closed | false | null | [] | null | 4 | 2016-08-02T17:59:55Z | 2016-08-02T19:16:37Z | 2016-08-02T19:13:26Z | NONE | null | The following code crashes Pandas 0.18.1 with SIGSEGV:
```
#!/usr/bin/env python3
import threading
import pandas as pd
import numpy as np
def lets_crash():
t = 0.02 * np.arange(100000)
data = pd.DataFrame({'t': t})
data['t'] * 1.5 ... | {
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```
import pandas as pd
df = pd.DataFrame({'a': [1,2,3]})
df.index = pd.DatetimeIndex([1234567890123456787, 1234567890123456788, 1234567890123456789])
df.index = df.index.tz_localize('UTC') # this line makes the index name go away
df.index.name = 'expected'
df.to_hdf('hello.h5'... | {
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Even if it is easy to override by code or CSS, it should be good to have an option that removes or clear all styling attributes on the generated table. For examp... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/13890 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13890/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13890/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13890/events | https://github.com/pandas-dev/pandas/pull/13890 | 169,214,118 | MDExOlB1bGxSZXF1ZXN0Nzk5NjUwMTc= | 13,890 | BUG: avoid "b" prefix for bytes in to_csv() on Python 3 (#9712) | {
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"... | closed | false | null | [] | null | 12 | 2016-08-03T19:34:05Z | 2016-09-14T13:23:22Z | 2016-09-13T10:05:42Z | CONTRIBUTOR | null | - [x] closes #9712
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Thank you!
#### Code Sample, a copy-pastable example if possible
``` python
>>> test_df = pd.DataFrame({'test_ind_1': [False,... | {
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"descript... | closed | false | null | [] | null | 8 | 2016-08-03T20:24:48Z | 2016-08-05T14:42:23Z | 2016-08-05T14:42:22Z | NONE | null | I created an HDF file using:
```
X.to_hdf('test.hdf', 'X', format='t', data_columns=['date', 'evaluation'])
```
I am interested in reading rows matching a query:
```
where = "((date >= '2010-01-01' and date < '2012-01-01') & (evaluation > 0)) | (date == '2012-01-01')"
```
However running
```
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More difficult than that. Trying to import pandas when Running Python 3.5 in a Docker container, passing the --user option to 'docker run'. in this case, running Python 3.5 in a docker container using HTCondor
#### Expected Output
Should quietly load
#### Actual O... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
This includes the fix only for #1134 and not for other inconsistencies (like #13637), as it needs further discussions.
Changes:
- series comparison operator to check ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13895/events | https://github.com/pandas-dev/pandas/issues/13895 | 169,256,813 | MDU6SXNzdWUxNjkyNTY4MTM= | 13,895 | CI: Windows builds started failing | {
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the commit was just some tests
any ideas?
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https://api.github.com/repos/pandas-dev/pandas/issues/13896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13896/events | https://github.com/pandas-dev/pandas/issues/13896 | 169,256,928 | MDU6SXNzdWUxNjkyNTY5Mjg= | 13,896 | API: Series/DataFrame logical op NaN propagation | {
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```
pd.Series([True, False, np.nan]) | pd.Series([True, False, True])
#0 True
#1 False
#2 False
# dtype: bool
pd.Series([True, False, True]) | pd.Series([True, False, np.nan])
#0 True
#1 False
#2 True
# dtype: bool
pd.DataFrame([T... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13897 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13897/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13897/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13897/events | https://github.com/pandas-dev/pandas/pull/13897 | 169,266,425 | MDExOlB1bGxSZXF1ZXN0ODAwMDI0MTI= | 13,897 | BUG: fix precision to specify decimal places | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
Use 'f' as a string conversion type to specify the number of decimals to
represent. The 'g' format will instead fall back to the 'e' format
causing the unexpected behavior seen in GHI13257.
See... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13898 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13898/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13898/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13898/events | https://github.com/pandas-dev/pandas/pull/13898 | 169,269,387 | MDExOlB1bGxSZXF1ZXN0ODAwMDQ0MjA= | 13,898 | BUG: allow describe() for DataFrames with only boolean columns | {
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- [x] tests added / passed
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- [x] whatsnew entry
Closes #13891. Existing tests pass. ~~No new tests added yet.~~
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https://api.github.com/repos/pandas-dev/pandas/issues/13899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13899/events | https://github.com/pandas-dev/pandas/pull/13899 | 169,270,235 | MDExOlB1bGxSZXF1ZXN0ODAwMDQ5NzI= | 13,899 | BUG: union_categorical fastpath sort | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-08-04T01:19:35Z | 2016-08-04T10:38:38Z | 2016-08-04T10:38:38Z | CONTRIBUTOR | null | Follow up to a problem with #13846. This path was tested, but the test just happened to be constructed in such a way it worked with the buggy implementation.
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https://api.github.com/repos/pandas-dev/pandas/issues/13900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13900/events | https://github.com/pandas-dev/pandas/pull/13900 | 169,342,290 | MDExOlB1bGxSZXF1ZXN0ODAwNTQ3MzM= | 13,900 | ENH: sparse astype now supports int64 and bool | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
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`SparseXXX` now support `astype` other than `float64` dtype. It raises `ValueError` when its `sp_values` or `fill_value` cannot be converted to specified dtype.
```
s = pd.SparseSeries([1., ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13901/events | https://github.com/pandas-dev/pandas/issues/13901 | 169,349,923 | MDU6SXNzdWUxNjkzNDk5MjM= | 13,901 | Groupby doesn't accept level=[0] for Index. | {
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``` python
index1 = pandas.Index([1,2,3,4,5])
index2 = pandas.Index([1,2,3,4,5])
first = pandas.DataFrame({'a':[1,2,3,4,5]}, index=index1)
second = df2 = ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13902/events | https://github.com/pandas-dev/pandas/issues/13902 | 169,393,144 | MDU6SXNzdWUxNjkzOTMxNDQ= | 13,902 | ENH: Faster merge_asof() through a single-pass algo | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13903 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13903/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13903/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13903/events | https://github.com/pandas-dev/pandas/pull/13903 | 169,394,177 | MDExOlB1bGxSZXF1ZXN0ODAwOTI1MTQ= | 13,903 | ENH: Faster merge_asof() performs a single pass when joining tables (#13902) | {
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because it requires the "by" column to be a single object. A proper version
would handle int (and possily float) columns through type differentiation.
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https://api.github.com/repos/pandas-dev/pandas/issues/13904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13904/events | https://github.com/pandas-dev/pandas/issues/13904 | 169,405,579 | MDU6SXNzdWUxNjk0MDU1Nzk= | 13,904 | Example of High Memory Usage of MultiIndex | {
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... | 26 | 2016-08-04T15:39:32Z | 2020-09-02T17:02:43Z | 2017-02-15T15:25:57Z | NONE | null | This is a dupe of #1752, in which @jreback recommended a new issue be opened. I have a (hopefully) reproduce-able example which shows how using MultiIndex can explode RAM usage.
At the top I define a function to get the memory of the current Python process. This will be called as I create arrays to get the "true" spac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13905/events | https://github.com/pandas-dev/pandas/issues/13905 | 169,413,247 | MDU6SXNzdWUxNjk0MTMyNDc= | 13,905 | DatetimeIndex + TimeDelta gives wrong results when timezone is set | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2016-08-04T16:11:28Z | 2018-01-02T11:23:50Z | 2018-01-02T11:23:50Z | CONTRIBUTOR | null | When I add a time delta to a DatetimeIndex which is tz-aware, the results appear as UTC, but sometimes claim to be in the original non-UTC timezone.
#### Code
```
import pandas as pd
index = pd.DatetimeIndex(['2016-06-28 05:30', '2016-06-28 05:31'], dtype='datetime64[ns, America/Chicago]')
offset = pd.Series(['00:00:0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13906/events | https://github.com/pandas-dev/pandas/issues/13906 | 169,420,431 | MDU6SXNzdWUxNjk0MjA0MzE= | 13,906 | Chained groupby-resample object raises error when used twice with different column selector | {
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] | closed | false | null | [] | null | 1 | 2016-08-04T16:44:23Z | 2016-08-04T16:49:45Z | 2016-08-04T16:49:41Z | NONE | null | Going from 0.18.0 to 0.18.1, a chained groupby - resample object can now only be used once. A second similar operation raises a KeyError when a column that is not used in the first operation is selected.
#### Code Sample, a copy-pastable example if possible
```
N = 5
df = pd.DataFrame({'a': np.ones(N), 'b': np.ones(N)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13907/events | https://github.com/pandas-dev/pandas/pull/13907 | 169,432,861 | MDExOlB1bGxSZXF1ZXN0ODAxMTk5Nzk= | 13,907 | ENH: Accept list as level for groupby in non-MultiIndexed objects | {
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"followers_url": "https://api.github.com/users/jr... | 9 | 2016-08-04T17:44:14Z | 2016-09-22T10:34:50Z | 2016-09-22T10:34:46Z | CONTRIBUTOR | null | - [x] closes #13901
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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