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https://api.github.com/repos/pandas-dev/pandas/issues/20712 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20712/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20712/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20712/events | https://github.com/pandas-dev/pandas/issues/20712 | 314,642,914 | MDU6SXNzdWUzMTQ2NDI5MTQ= | 20,712 | Rolling sum (closed='left') with duplicate Timestamp indices. | {
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"description": "rolling, ewma, expanding... | open | false | null | [] | null | 9 | 2018-04-16T13:08:14Z | 2021-02-26T01:39:42Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
n = 5
t1 = pd.date_range('1/1/2011', periods=n, freq='H')
v1 = range(n)
t2 = pd.date_range('1/1/2011', periods=n, freq='H')
v2 = range(n, 2*n)
index = np.sort(np.hstack([t1.values, t2.values]))
data ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20713/events | https://github.com/pandas-dev/pandas/issues/20713 | 314,653,928 | MDU6SXNzdWUzMTQ2NTM5Mjg= | 20,713 | Calculate percentage difference for the stats of two given dates in pandas | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20714 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20714/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20714/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20714/events | https://github.com/pandas-dev/pandas/issues/20714 | 314,671,393 | MDU6SXNzdWUzMTQ2NzEzOTM= | 20,714 | Inconsistent behaviour when calling apply() on a categorical column with missing data | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 12 | 2018-04-16T14:18:22Z | 2019-02-03T17:44:32Z | 2019-02-03T17:44:32Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> import numpy as np
>>> s1 = pd.Series(['1-1','1-1',np.NaN], dtype='category')
>>> s1.apply(lambda x: x.split('-')[0])
0 1
1 1
2 NaN
dtype: category
Categories (1, object): [1]
>>> s2 = pd.Series(['1-1',... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20715 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20715/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20715/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20715/events | https://github.com/pandas-dev/pandas/pull/20715 | 314,838,880 | MDExOlB1bGxSZXF1ZXN0MTgyMDA0MDcw | 20,715 | DOC: Change the indent for the pydoc of apply() function. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20716 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20716/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20716/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20716/events | https://github.com/pandas-dev/pandas/issues/20716 | 314,861,700 | MDU6SXNzdWUzMTQ4NjE3MDA= | 20,716 | DEPR: DatetimeIndex.offset | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-04-17T00:18:17Z | 2018-04-19T12:43:21Z | 2018-04-19T12:43:21Z | MEMBER | null | `DatetimeIndex.offset` and `DatimeIndex.freq` refer to the same thing, and are used interchangeably throughout the code for `DatetimeIndex`:
https://github.com/pandas-dev/pandas/blob/4a344972722cc3c27250cbc8e382472b13e66bde/pandas/core/indexes/datetimes.py#L1729-L1732
Is there a reason for having both?
`Time... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20717 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20717/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20717/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20717/events | https://github.com/pandas-dev/pandas/issues/20717 | 314,903,539 | MDU6SXNzdWUzMTQ5MDM1Mzk= | 20,717 | Empty value for int column triggers conversion to floats. | {
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```python
import pandas as pd
from datetime import date
from datetime import datetime
import sys
d = date.today()
f=pd.read_csv("Export2.csv")
start_date = f.at[2, 'StartDate'][5:]
end_date = f.at[2, 'EndDate'][8:]
year_date = f.at[2, 'EndDate'][:4]
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https://api.github.com/repos/pandas-dev/pandas/issues/20718 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20718/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20718/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20718/events | https://github.com/pandas-dev/pandas/pull/20718 | 314,973,893 | MDExOlB1bGxSZXF1ZXN0MTgyMTAxNTkw | 20,718 | PKG: remove pyproject.toml for now | {
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Eg I also have errors on the geopandas CI when installing pandas master with pip due to this.
Scipy did something similar: https://github.com/scipy/scipy/pull/8735 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20719 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20719/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20719/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20719/events | https://github.com/pandas-dev/pandas/issues/20719 | 314,981,274 | MDU6SXNzdWUzMTQ5ODEyNzQ= | 20,719 | Manylinux wheel size could be reduced by 54% | {
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```bash
# Build pandas
python3 -m pip install -t build --no-binary pandas pandas==0.22.0
# Measure size
du -sh build/pandas
# Strip binaries
find build/pandas -name "*.so"|xargs strip
# Measure -drastically reduced- size
du -sh build/pandas
```
#### Problem description
When buildi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20720 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20720/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20720/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20720/events | https://github.com/pandas-dev/pandas/issues/20720 | 315,019,071 | MDU6SXNzdWUzMTUwMTkwNzE= | 20,720 | TST: failure on s3 mocking | {
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on ``pandas/tests/iotest_parquet.py -k s3``.
works locally for me. very odd as this is mocked and shouldn't ever have a connection error.
In particular xfailing: https://github.com/pandas-dev/pandas/commit/336fba7c0191444c33... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20721 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20721/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20721/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20721/events | https://github.com/pandas-dev/pandas/pull/20721 | 315,096,613 | MDExOlB1bGxSZXF1ZXN0MTgyMTkyNjI0 | 20,721 | DEPR: Series ndarray properties (strides, data, base, itemsize, flags) | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/20722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20722/events | https://github.com/pandas-dev/pandas/issues/20722 | 315,096,799 | MDU6SXNzdWUzMTUwOTY3OTk= | 20,722 | BUG: Overflow encountered when using .loc with UInt64Index | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-04-17T14:50:50Z | 2018-05-08T10:35:11Z | 2018-05-08T10:35:11Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> import numpy as np
>>> s = pd.Series([1, 2], index=[np.iinfo('uint64').max - 1, np.iinfo('uint64').max])
>>> s[np.iinfo('uint64').max]
2
>>> s.loc[np.iinfo('uint64').max]
...
OverflowError: Python int too large to c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20723/events | https://github.com/pandas-dev/pandas/issues/20723 | 315,129,749 | MDU6SXNzdWUzMTUxMjk3NDk= | 20,723 | pip installation fails: Double requirement given: numpy==1.12.1... | {
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I have an issue with installation from current release on PyPi via pip:
In a fresh python3 virtualenv I do following, and it crashes on `Double requirement given: numpy==1.12.1 ...`:
```
(p3-sns) d@e:~/Plocha/mff/diplomka/fork2$ pip install pandas
Collecting pandas
Downloading https://files.pythonh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20724/events | https://github.com/pandas-dev/pandas/issues/20724 | 315,171,160 | MDU6SXNzdWUzMTUxNzExNjA= | 20,724 | Hitting AmbiguousTimeError when exiting DST using .loc | {
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"followers_url": "https://api.github... | 2 | 2018-04-17T18:06:03Z | 2018-08-06T10:23:27Z | 2018-08-06T10:23:27Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import arrow
import datetime
from dateutil import tz
test_time = arrow.get(datetime.datetime(2015,11,1), "US/Pacific").datetime
timestamps = [test_time + datetime.timedelta(seconds=i * 900) for i in range(16)]
my_series = pd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20725/events | https://github.com/pandas-dev/pandas/pull/20725 | 315,211,964 | MDExOlB1bGxSZXF1ZXN0MTgyMjgwMDM1 | 20,725 | DOC: add Raises, Examples and See Also sections to methods at_time/between_time/first/last | {
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Added functioning examples to the method doc strings.
Added See Also section to the mentioned method doc string.
EDIT: The doc strings for ``DatetimeIndex.indexer_at_time`` and ``DatetimeIndex.in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20726/events | https://github.com/pandas-dev/pandas/issues/20726 | 315,278,717 | MDU6SXNzdWUzMTUyNzg3MTc= | 20,726 | BUG: Extra color introduced with plot. | {
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"followers_url": "https://api.github... | 3 | 2018-04-17T23:39:07Z | 2018-12-31T13:21:18Z | 2018-12-31T13:21:18Z | CONTRIBUTOR | null | User reported in StackOverflow: https://stackoverflow.com/questions/49887076/matplotlib-error-while-coloring-barplot-with-list#49887076
```python
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame(np.abs(np.random.randn(48, 4)), columns=list("ABCD"))
color_list = plt.cm.g... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20727/events | https://github.com/pandas-dev/pandas/pull/20727 | 315,280,701 | MDExOlB1bGxSZXF1ZXN0MTgyMzMzNzA5 | 20,727 | BUG: Fix a bug in plotting when using color array. #20726 | {
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"followers_url": "https://api.github... | 7 | 2018-04-17T23:50:24Z | 2018-12-31T13:21:21Z | 2018-12-31T13:21:18Z | CONTRIBUTOR | null | - [x] closes #20726
- [x] tests added / passed
- [x] passes `git diff master --name-only -- "*.py" | flake8`
- [x] whatsnew entry | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20728/events | https://github.com/pandas-dev/pandas/issues/20728 | 315,288,989 | MDU6SXNzdWUzMTUyODg5ODk= | 20,728 | DataFrame.to_json(orient='table') emits data:str instead of data:[dict,] after a number of requests under mod-wsgi | {
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```python
df.to_json(orient='table', default_handler=str)
```
This... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20729/events | https://github.com/pandas-dev/pandas/pull/20729 | 315,299,894 | MDExOlB1bGxSZXF1ZXN0MTgyMzQ2OTYy | 20,729 | [ENH] Add read support for Google Cloud Storage | {
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"followers_url": "https://api.github... | 22 | 2018-04-18T01:48:25Z | 2018-07-02T15:37:17Z | 2018-06-26T14:59:24Z | CONTRIBUTOR | null | - [x] closes #19454
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Couple of remaining issues:
- I had to do some weird logging magic to suppress the output of `gcsfs` when catching authentication exceptions
- Proper Parquet support seems to ... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
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```python
In [61]: df_test = pd.DataFrame({"A":[1,1,2,2],"B":[1,1,1,1]})
In [62]: df_test.groupby("B").rank(method="dense", ascending=True, pct=False, na_option='top')
Out[62]:
A
0 1.0
1 1.0
2 2.0
3 2.0
In [63]: df_test.groupby("B").rank(method="dense", ascending=True, pct=True... | {
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- [x] tests added / passed (some failed independently of my changes)
- [x] passes `git diff master --name-only -- "*.py" | flake8`
- [x] whatsnew entry
I thought it is a straightforward way to evaluate all of `df.loc[0, ['A']] = ['X']`, `df.loc[0, ['A', 'B']] = ['X', 'Y']`, ...(more-columns ca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20733/events | https://github.com/pandas-dev/pandas/issues/20733 | 315,526,972 | MDU6SXNzdWUzMTU1MjY5NzI= | 20,733 | Pandas series.str.replace('.0', '') replaces string preceding decimal point | {
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```python
pd.Series(['41.0', '40.0', '35.0', '30.0']).str.replace('.0', '')
0 41
1
2 35
3
dtype: object
```
#### Problem description
Pandas replaces the string preceding '.0' with the string assigned to repl if the preceding string contains a 0 immediately before the dec... | {
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```python
index = pd.Series(name='id', dtype='S24')
df = pd.DataFrame(index=index)
df['a'] = pd.Series(name='a', index=index, dtype=np.uint32)
df['b'] = pd.Series(name='b', index=index, dtype='S64')
df['c'] = pd.Series(name='c', index=index, dtype='S64')
df... | {
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Sadly, pseudocode because the underlying container is proprietary, but this is a generic problem. If I get a chance this weekend I will write up a mock open-source-compliant example for illustration and testing.
```python
class MyArray(ExtensionArray):
d... | {
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```python
from datetime import datetime
import pandas as pd
import numpy as np
d = {'Time': [datetime(1900, 1, 1), datetime(2000, 1, 1)],
'ID': ['thing1', 'thing2'],
'Number': np.array([12.34, 25.67])}
df = pd.DataFrame(d)
print(df['Time'].dty... | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/20739 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20739/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20739/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20739/events | https://github.com/pandas-dev/pandas/issues/20739 | 315,626,996 | MDU6SXNzdWUzMTU2MjY5OTY= | 20,739 | to_csv ignoring index=False (v0.22.0 only) | {
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```python
df.to_csv(output_path,
sep='\t',
header=False,
index=False,
float_format='%d'
)
```
#### Problem description
In P... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20740 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20740/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20740/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20740/events | https://github.com/pandas-dev/pandas/issues/20740 | 315,746,390 | MDU6SXNzdWUzMTU3NDYzOTA= | 20,740 | DOC: wiki testing page still refers to nose | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20741 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20741/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20741/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20741/events | https://github.com/pandas-dev/pandas/pull/20741 | 315,778,844 | MDExOlB1bGxSZXF1ZXN0MTgyNzAzMjc3 | 20,741 | DOC: use apply(raw=True) in docs to silence warning | {
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"followers_url": "https://api.github... | 1 | 2018-04-19T09:01:11Z | 2019-01-18T16:53:35Z | 2019-01-18T16:53:35Z | NONE | null | The problem was already mentioned as part of other issues, but still persists in 0.22
https://github.com/pandas-dev/pandas/issues/8020
https://github.com/blaze/blaze/issues/466
Reported both expected shape and input data shape are both transposed which causes a lot of confusion. In my opinion, the reference valu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20743 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20743/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20743/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20743/events | https://github.com/pandas-dev/pandas/issues/20743 | 315,811,673 | MDU6SXNzdWUzMTU4MTE2NzM= | 20,743 | BUG: pd.merge with ExtensionArray does not preserve extension dtype | {
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In [1]: from pandas.tests.extension.decimal.array import DecimalArray, make_data
In [5]: dec_arr = DecimalArray(make_data())
In [6]: df1 = pd.DataFrame({'int1': [1, 2, 3], 'key':[0, 1, 2], 'ext1': dec_arr[:3]})
In [7]: df2 = pd.DataFrame({'int2': [1, 2, 3, 4], 'key':[0, 0, 1, 3], 'ext2': dec_arr[3:7]})
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```python
df = pd.DataFrame(np.random.rand(49),
index=pd.DatetimeIndex(start='2018-04-01',
end='2018-04-03',
freq='1h')
)
print(df.head())
print(df.resample('D', loffset=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20746 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20746/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20746/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20746/events | https://github.com/pandas-dev/pandas/pull/20746 | 315,906,903 | MDExOlB1bGxSZXF1ZXN0MTgyNzk3OTM5 | 20,746 | TST: correct constructor in extension array tests | {
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A bit annoying the name is that long :-), but this is the correct usage.
cc @TomAugspurger | {
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"followers_url": "https://api.github... | 2 | 2018-04-19T14:51:33Z | 2018-11-11T14:48:37Z | 2018-11-11T14:48:37Z | MEMBER | null | Many of the extension arrays tests are skipped for `Categorical` because the reconstruction of the expected result does not preserve the categoricals (so kind of the "metadata" of the dtype).
For example:
https://github.com/pandas-dev/pandas/blob/78fee04e95e3c53c83c938285580c39e7761ddc8/pandas/tests/extension/cat... | {
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```python
In [2]: pd.Series([1,2,3]).loc[[i for i in (4,5)]]
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-2-aba9eb9eea33> in <module>()
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20749 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20749/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20749/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20749/events | https://github.com/pandas-dev/pandas/pull/20749 | 315,964,067 | MDExOlB1bGxSZXF1ZXN0MTgyODQxMjk2 | 20,749 | DOC: Clean up badges in README | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-04-19T22:12:22Z | 2018-04-21T23:30:38Z | 2018-04-21T23:30:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame(data = {'a': [1, 2, 3], 'b': [4, 5, 6]})
def add_subtract_list(a, b):
return [a + b, a - b]
df[['sum', 'difference']] = df.apply(
lambda row: add_subtract_list(row['a'], row['b']), axis=1)
df[['sum2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20751 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20751/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20751/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20751/events | https://github.com/pandas-dev/pandas/issues/20751 | 316,093,255 | MDU6SXNzdWUzMTYwOTMyNTU= | 20,751 | A problem with pandas.read_sas | {
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"color": "5319e7",
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"id": 258745163,
"name": "IO SAS",
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"url": "https://api.github.com/repos/pandas-dev/pandas/labels/IO%20SAS"
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] | closed | false | null | [] | null | 2 | 2018-04-20T01:23:23Z | 2018-04-22T14:59:32Z | 2018-04-22T14:59:32Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
d = pd.read_sas('lex1_3.sas7bdat')
```
#### Problem description
For a few sas7bdat files, which can be read in R with `haven::read_sas`, the pandas version either gives a segmentation fault or an AttributeErr... | {
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```python
# Your code here
>>>import pandas as pd
>>>a=pd.Series([0,1,2,3,4])
>>> a.pct_change()
0 NaN
1 inf
2 1.000000
3 0.500000
4 0.333333
dtype: float64
```
#### Problem description
This is fraction change and not perce... | {
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```python
In [2]: pd.Series(range(3)).ix[5]
/usr/bin/ipython3:1: DeprecationWarning:
.ix is deprecated. Please use
.loc for label based indexing or
.iloc for positional indexing
See the documentation here:
http://pandas.pydata.org/pandas-docs/stable/ind... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20754 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20754/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20754/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20754/events | https://github.com/pandas-dev/pandas/issues/20754 | 316,199,561 | MDU6SXNzdWUzMTYxOTk1NjE= | 20,754 | Dataframe column filled with .sum() of int-series has dtype not int64, but object | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-04-20T09:42:25Z | 2018-04-20T10:15:32Z | 2018-04-20T10:15:31Z | CONTRIBUTOR | null | #### MnWE
```python
import pandas as pd
the_int_column = pd.Series([1, 2, 3])
foobar = pd.DataFrame(columns=("ints",))
foobar.loc["First"] = [the_int_column.sum()]
print(foobar.dtypes)
the_float_column = pd.Series([1.0, 2.0, 3.0])
floatbar = pd.DataFrame(columns=("floats",))
floatbar.loc["First"] = [th... | {
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Given the following dataframe:
```python
data = {'Class': ['bonds', 'bonds', 'bonds', 'bonds', 'futures', 'options',
'futures', 'etf', 'equities', 'equities', 'equities', 'equities'],
'Start': [0.006568, 0.006663, 0.008089, 0.008185, 0.033096, 0.034997,
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In [1]: from pandas.tests.extension.decimal.array import DecimalArray, make_data
In [5]: dec_arr = DecimalArray(make_data())
In [6]: df1 = pd.DataFrame({'int1': [1, 2, 3], 'key':[0, 1, 2], 'ext1': dec_arr[:3]})
In [7]: df2 = pd.DataFrame({'int2': [1, 2, 3, 4], 'key':[0, 0, 1, 3], 'ext2': dec_arr[3:7]})
... | {
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Definition of data and columns:
<details>
```python
from numpy import nan
data = [['n', 1, 0, False, 2, 1, False, 0, 0, False, 2, 0, False, 0, 1, False, 1, 1, False, 'o',
1521734085.289453, 'p', 3233, 1521734085.289494]]
columns = [(... | {
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"followers_url": "https://api.github.com/users/jorisva... | 10 | 2018-04-20T14:07:15Z | 2018-05-15T11:34:14Z | 2018-04-21T23:26:08Z | CONTRIBUTOR | null | I have 2 data frames:
```
df1 = pd.DataFrame({'A':[11,2,31,4,51],
'B':[1.2,3.14,1.41,1.7,2.2],
'C':['e','w','q','q','s']})
df1.set_index('A', inplace=True)
df1
```
A | B | C
-- | -- | --
11 | 1.20 | e
2 | 3.14 | w
31 | 1.41 | q
4 | 1.70 | q
51 | 2.20 | s
an... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20759 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20759/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20759/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20759/events | https://github.com/pandas-dev/pandas/issues/20759 | 316,284,345 | MDU6SXNzdWUzMTYyODQzNDU= | 20,759 | Y-Axis is always shared when using subplots together with twiny | {
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... | open | false | null | [] | null | 1 | 2018-04-20T14:12:51Z | 2021-06-19T18:06:10Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import matplotlib.pyplot as plt
import pandas as pd
df1 = pd.DataFrame([1, 2, 3])
df2 = pd.DataFrame([4, 5, 6])
fig, axes = plt.subplots(nrows=1, ncols=2)
df1.plot(ax=axes[0])
ax_twin = axes[1].twiny()
df1.plot(ax=axes[1])
df2.plot(ax=ax_tw... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20760 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20760/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20760/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20760/events | https://github.com/pandas-dev/pandas/issues/20760 | 316,284,742 | MDU6SXNzdWUzMTYyODQ3NDI= | 20,760 | nth() mixes column order | {
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"followers_url": "https://api.github... | 1 | 2018-04-20T14:13:59Z | 2018-11-20T01:10:52Z | 2018-11-20T01:10:52Z | CONTRIBUTOR | null | Consider the following dataframe:
```
df = pd.DataFrame([[179293473,'2016-06-01 00:00:03.549745','http://www.dr.dk/nyheder/',39169523],[179293473,'2016-06-01 00:04:22.346018','https://www.information.dk/indland/2016/05/hvert-tredje-offer-naar-anmelde-voldtaegt-tide', 39125224],
[179773461, '2016-06-01 22:13:16.5881... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20761 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20761/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20761/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20761/events | https://github.com/pandas-dev/pandas/issues/20761 | 316,287,635 | MDU6SXNzdWUzMTYyODc2MzU= | 20,761 | ExtensionArray._can_hold_na needs to be a class attribute | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-04-20T14:21:48Z | 2018-04-26T15:34:46Z | 2018-04-26T15:34:46Z | CONTRIBUTOR | null | #### Problem description
`ExtensionArray._can_hold_na` is implemented as an instance property, but needs to be a class attribute to be consistent with its use throughout pandas.
(Note - I am working on a PR that will take care of this)
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
---... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20762 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20762/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20762/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20762/events | https://github.com/pandas-dev/pandas/issues/20762 | 316,292,441 | MDU6SXNzdWUzMTYyOTI0NDE= | 20,762 | BUG: concat of ExtensionArray with other dtype fails | {
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In [22]: from pandas.tests.extension.decimal.array import DecimalArray, make_data
...: dec_arr = DecimalArray(make_data())
...: df1 = pd.DataFrame({'ext': dec_arr[:3]})
In [23]: df2 = pd.DataFrame({'ext': [1.0, 2.0]})
In [24]: pd.concat([df1, df2], axis=0)
-----------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20763 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20763/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20763/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20763/events | https://github.com/pandas-dev/pandas/issues/20763 | 316,299,445 | MDU6SXNzdWUzMTYyOTk0NDU= | 20,763 | Internal error when self joining DataFrame that has category column with null value | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-04-20T14:52:58Z | 2018-06-27T18:02:34Z | 2018-06-27T18:02:29Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```import io
import pandas as pd
q=pd.read_csv(io.BytesIO(b'A5215,'), names=['l', 'c']).astype(dict(c='category'))
q.join(q.set_index('l'), on='l', how='inner', lsuffix='_A')
```
#### Problem description
This code doesn't raise exceptions but it does prin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20764 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20764/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20764/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20764/events | https://github.com/pandas-dev/pandas/issues/20764 | 316,302,699 | MDU6SXNzdWUzMTYzMDI2OTk= | 20,764 | Double requirement given in Python 3.4.7 from version 0.21.0 | {
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] | closed | false | null | [] | null | 7 | 2018-04-20T15:01:18Z | 2018-04-20T20:55:56Z | 2018-04-20T15:10:17Z | NONE | null | I'm currently trying to install Pandas on a 3.4.7 environment and I am receiving this error from pip:
``` bash
Looking in indexes: https://pypi.python.org/simple
Collecting pandas==0.21.0
Using cached https://files.pythonhosted.org/packages/84/4c/622301f99725c6da76ae8079cb6b9091d9098098bd6b4eac47fb502b32f4/pand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20765 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20765/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20765/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20765/events | https://github.com/pandas-dev/pandas/issues/20765 | 316,303,553 | MDU6SXNzdWUzMTYzMDM1NTM= | 20,765 | rename columns throws InvalidOperation: [<class 'decimal.InvalidOperation'>] but works | {
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] | closed | false | null | [] | null | 3 | 2018-04-20T15:03:31Z | 2019-01-13T02:57:13Z | 2019-01-13T02:56:54Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df.rename(columns={'xxoraclehrid': 'sso', 'status': 'active' , 'xxhrindustrygroup': 'industry_segment',
'xxcreatejobtitle': 'job_desc', 'xxhreffectivestartdate': 'start_date', 'xxhreffectiveenddate': 'end_date'})
# I think it is the tim... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20766 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20766/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20766/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20766/events | https://github.com/pandas-dev/pandas/issues/20766 | 316,303,666 | MDU6SXNzdWUzMTYzMDM2NjY= | 20,766 | AttributeError(s) if .loc[] is passed a list with missing labels on a non-unique index of Sparse object | {
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"color": "00... | closed | false | null | [] | null | 1 | 2018-04-20T15:03:48Z | 2019-09-17T20:58:21Z | 2019-09-17T20:58:21Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: s = pd.Series(-1, index=list('aba')).to_sparse()
In [3]: s.loc[['a', 'c']]
/usr/bin/ipython3:1: FutureWarning:
Passing list-likes to .loc or [] with any missing label will raise
KeyError in the future, you can use .reindex() as an altern... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20767 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20767/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20767/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20767/events | https://github.com/pandas-dev/pandas/pull/20767 | 316,308,594 | MDExOlB1bGxSZXF1ZXN0MTgzMDkzNDEz | 20,767 | Use conda-env for CI environments | {
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] | closed | false | null | [] | null | 21 | 2018-04-20T15:17:18Z | 2018-04-24T13:58:35Z | 2018-04-24T01:35:30Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/20720
The old setup where things were installed in multiple places resulted in some strange environments, with multiple copies of the same package in `site-packages`.
This attempts to reduce the environment definition to a single file per CI job, and the environm... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20768 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20768/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20768/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20768/events | https://github.com/pandas-dev/pandas/issues/20768 | 316,333,481 | MDU6SXNzdWUzMTYzMzM0ODE= | 20,768 | to_parquet method should accept index=False option | {
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"followers_url": "https://api.github... | 0 | 2018-04-20T16:29:08Z | 2018-09-21T08:18:00Z | 2018-09-21T08:18:00Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# for example, index should be accepted, like so:
df.to_parquet( 'my_parquet_file.parquet', compression='gzip', index=False )
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20769 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20769/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20769/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20769/events | https://github.com/pandas-dev/pandas/issues/20769 | 316,342,148 | MDU6SXNzdWUzMTYzNDIxNDg= | 20,769 | pd.merge: MultiIndex column label mistakenly classified as "not unique" | {
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```python
from numpy import nan
a = np.random.rand(3,4)
a[:,-1] = range(3)
b = np.random.rand(3,4)
b[:,-1] = range(3)
dfa = pd.DataFrame(a,columns=pd.MultiIndex.from_tuples([("n","a"),("n","b"),("n","c"),("x",)]))
dfb = pd.DataFrame(a,columns=pd.MultiIndex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20770 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20770/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20770/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20770/events | https://github.com/pandas-dev/pandas/pull/20770 | 316,364,303 | MDExOlB1bGxSZXF1ZXN0MTgzMTM0NzYz | 20,770 | Emit warning for missing labels in Multiindex.loc[[...]] (and more) | {
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- [x] closes #20748
- [x] closes #20753
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Main changes:
- the presence of at least one key (and of all of them, for the temporary warning) is now checked _after_ building the i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20771 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20771/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20771/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20771/events | https://github.com/pandas-dev/pandas/issues/20771 | 316,399,092 | MDU6SXNzdWUzMTYzOTkwOTI= | 20,771 | Pandas installation on arm architectures | {
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] | closed | false | null | [] | null | 3 | 2018-04-20T20:18:28Z | 2018-04-21T09:38:29Z | 2018-04-21T09:10:24Z | NONE | null | #### Code Sample, a copy-pastable example if possible
I Haven't written any custom code.
#### Problem description
I'm trying to install Pandas with pip install pandas, and I'am encountering the following error:
```bash
nvidia@tegra-ubuntu:~/opt$ sudo -H pip install pandas
Collecting pandas
Using cached https... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20772 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20772/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20772/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20772/events | https://github.com/pandas-dev/pandas/pull/20772 | 316,436,091 | MDExOlB1bGxSZXF1ZXN0MTgzMTg4OTI5 | 20,772 | BUG: Fix freq setter for DatetimeIndex/TimedeltaIndex and deprecate for PeriodIndex | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
For `DatetimeIndex`/`TimedeltaIndex`:
- Setting `freq` with a string alias now works
- Frequencies are validated with invalid frequencies raising
- Same behavior as ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20773 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20773/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20773/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20773/events | https://github.com/pandas-dev/pandas/issues/20773 | 316,437,126 | MDU6SXNzdWUzMTY0MzcxMjY= | 20,773 | rolling.apply or rolling.agg doesn't work on string columns | {
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... | 4 | 2018-04-20T23:14:44Z | 2020-05-08T19:36:45Z | 2020-05-08T19:36:44Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
dat = pd.DataFrame(
{'number': [2, 2, 3], 'string': ['a', 'a', 'b']},
index=pd.date_range('2018-01-01', periods=3, freq='1s')
)
dat.rolling('2min').apply(lambda x: len(np.unique(x)))
number string
2018-01-01 00:00:00 1.0 a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20774 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20774/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20774/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20774/events | https://github.com/pandas-dev/pandas/issues/20774 | 316,461,613 | MDU6SXNzdWUzMTY0NjE2MTM= | 20,774 | Shift method doesn't keep data type | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-04-21T04:47:31Z | 2018-04-21T16:28:55Z | 2018-04-21T16:15:43Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
df = pd.DataFrame([1, 2])
df.dtypes
0 int64
dtype: object
df.shift(-1).dtypes
0 float64
dtype: object
```
#### Problem description
After shifting the integer data type turns into float. I understand this is for incorporating na value as a resu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20775 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20775/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20775/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20775/events | https://github.com/pandas-dev/pandas/issues/20775 | 316,477,560 | MDU6SXNzdWUzMTY0Nzc1NjA= | 20,775 | Add pyproject.toml | {
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---
The release of pip version 10 and the presence of a `pyproject.toml` in our latest released versions gives problems for installing pandas in the following cases:
**Problem with installing pandas for Python 3.4**
* You get the error *"Double... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20776 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20776/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20776/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20776/events | https://github.com/pandas-dev/pandas/pull/20776 | 316,479,971 | MDExOlB1bGxSZXF1ZXN0MTgzMjE2NzE4 | 20,776 | DOC: Add interpolate to fillna 'See Also' section | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20777 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20777/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20777/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20777/events | https://github.com/pandas-dev/pandas/pull/20777 | 316,501,602 | MDExOlB1bGxSZXF1ZXN0MTgzMjI4NjY3 | 20,777 | BUG: Fix KeyError in merge on CategoricalIndex | {
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Example:
```
import pandas as pd
left = pd.DataFrame(
{"left_data": [1, 2]},
index=pd.CategoricalIndex(data=["A", "B"], categories=["A", "B"], name='index_col')
)
right = pd.DataFrame(
... | {
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from scipy.io import netcdf
import numpy as np
ncFileName = 'sst_mask_cutlatlon.nc'
gridCSVName = 'mask_grid.csv'
f = netcdf.netcdf_file(ncFileName, 'r')
lon = f.variables['lon'].data # 251
lat = f.variables['lat'].data # 331
mask = f.variables['mask'].data[0] # (331, 251)
newMask = np.where(mask == ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20779 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20779/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20779/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20779/events | https://github.com/pandas-dev/pandas/pull/20779 | 316,508,747 | MDExOlB1bGxSZXF1ZXN0MTgzMjMyNzk5 | 20,779 | ENH: Implement mode(dropna=False) | {
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"followers_url": "https://api.github... | 4 | 2018-04-21T17:15:28Z | 2018-06-02T12:07:26Z | 2018-05-31T21:44:30Z | CONTRIBUTOR | null | - [x] closes #17534
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
There are other mode tests in ``tests/test_algos.py`` but I'm not sure if I should test the ``dropna`` parameter in this file too. The tests seem very similar to those in ``test... | {
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cc @datapythonista I think this would have solved your issues w/ the validation script. | {
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Arguments for and against catching the error in `pivot_table`:
- For: `pivot_table` does aggregation before calling `unstack`, so it takes a while before the e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20785 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20785/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20785/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20785/events | https://github.com/pandas-dev/pandas/issues/20785 | 316,572,205 | MDU6SXNzdWUzMTY1NzIyMDU= | 20,785 | heap corruption in read_csv on 32-bit big-endian architectures | {
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```
realloc(): invalid next size
malloc(): smallbin double linked list corrupted
Segmentation fault
corrupted double-linked list
```
This happened to be th... | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/20787 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20787/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20787/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20787/events | https://github.com/pandas-dev/pandas/issues/20787 | 316,585,323 | MDU6SXNzdWUzMTY1ODUzMjM= | 20,787 | DOC: clean Index.set_name / .rename doc-strings | {
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... | 3 | 2018-04-22T14:50:34Z | 2018-08-19T10:00:45Z | 2018-08-19T10:00:45Z | CONTRIBUTOR | null | xref #20548
MultiIndex.rename directly uses the .set_names doc-string (which is ok), but should be a touch more linked (e.g. See Also, maybe some more examples). Alt could de-couple these and make them more informative. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20788 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20788/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20788/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20788/events | https://github.com/pandas-dev/pandas/issues/20788 | 316,604,337 | MDU6SXNzdWUzMTY2MDQzMzc= | 20,788 | pandas.DatetimeIndex.data and pandas.TimedeltaIndex.data fail with "ValueError: cannot include dtype 'M' in a buffer" | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-04-22T19:05:13Z | 2018-04-23T10:34:45Z | 2018-04-23T10:34:26Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
tdi = pd.timedelta_range(0, periods=10, freq="10s")
dti = pd.date_range(0, periods=10, freq="1d")
tdi.data
dti.data
```
#### Problem description
pd.TimedeltaIndex and pd.DatetimeIndex are intended for the construction of time series, with support... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-04-22T21:11:40Z | 2018-05-03T00:19:53Z | 2018-05-03T00:19:49Z | CONTRIBUTOR | null | - [x] closes additional request in PR https://github.com/pandas-dev/pandas/pull/20271
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/20790 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20790/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20790/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20790/events | https://github.com/pandas-dev/pandas/pull/20790 | 316,671,483 | MDExOlB1bGxSZXF1ZXN0MTgzMzMyODk1 | 20,790 | DOC: add concatenation-section to text.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20791 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20791/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20791/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20791/events | https://github.com/pandas-dev/pandas/issues/20791 | 316,674,098 | MDU6SXNzdWUzMTY2NzQwOTg= | 20,791 | Surprising type conversion when iterating | {
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```python
>>> df = pandas.DataFrame({'ints': range(5)})
>>> type(df.iloc[:, 0][0])
<class 'numpy.int64'>
>>> type(list(df.iloc[:, 0])[0])
<class 'int'>
```
#### Problem description
When iterating over a series, values are being converted to closest Pyth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20792 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20792/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20792/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20792/events | https://github.com/pandas-dev/pandas/issues/20792 | 316,697,474 | MDU6SXNzdWUzMTY2OTc0NzQ= | 20,792 | Not all Pandas dataframes are shared in a multiprocessing list | {
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I've tried to get answer for this question on StackOverflow first, but I hope some of you can explain this and hopefully lead us to a solution.
The StackOverflow question is here: https://stackoverflow.com/questions/49942878/not-all-pandas-dataframes-are-shared-in-a-multiprocessing-list
**I've also adde... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-04-23T11:41:20Z | 2018-04-23T12:50:19Z | 2018-04-23T12:50:15Z | CONTRIBUTOR | null | xref #20735 (doesn't close)
Here's a local "test" for it.
```
pytest pandas/tests/extension/test_values.py -k test_no_values
==================================================================== test session starts ====================================================================
platform darwin -- Python 3.... | {
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Adds a test to ensure EA authors don't use the `.values` or `._values` attribute, which can give problems with pandas internals depending on how the data is stored.
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https://api.github.com/repos/pandas-dev/pandas/issues/20795 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20795/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20795/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20795/events | https://github.com/pandas-dev/pandas/pull/20795 | 316,834,858 | MDExOlB1bGxSZXF1ZXN0MTgzNDUwODc5 | 20,795 | DOC/API: expose ExtensionArray in public api | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20796 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20796/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20796/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20796/events | https://github.com/pandas-dev/pandas/pull/20796 | 316,848,350 | MDExOlB1bGxSZXF1ZXN0MTgzNDYxMDE3 | 20,796 | ENH: Implemented lazy iteration | {
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"followers_url": "https://api.github... | 61 | 2018-04-23T14:52:30Z | 2018-12-25T23:03:58Z | 2018-12-25T17:59:10Z | CONTRIBUTOR | null | Fixes GH20783.
- [x] closes #20783
- [x] no tests needed because just internal implementation change
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
* there are some failures on existing code
- [x] whatsnew entry
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- [x] closes #14249
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
~~I quickly looked at some other issues that this didn't originally aim to address and ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20798 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20798/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20798/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20798/events | https://github.com/pandas-dev/pandas/issues/20798 | 316,885,186 | MDU6SXNzdWUzMTY4ODUxODY= | 20,798 | HDF5, to_hdf, read_hdf doesn't support diacritics in filename and path | {
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```python
with with pd.HDFStore(r"\\share\fs\ostatní\myproject\test.h5") as store:
store.put("myproject", df)
df.to_hdf(r"\\share\fs\ostatní\myproject\test.h5", "df")
pd.read_hdf(r"\\share\fs\ostatní\myproject\test.h5")
```
#### Problem description
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https://api.github.com/repos/pandas-dev/pandas/issues/20799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20799/events | https://github.com/pandas-dev/pandas/pull/20799 | 316,897,192 | MDExOlB1bGxSZXF1ZXN0MTgzNDk2NTEz | 20,799 | BUG: Coerce to object for mixed concat | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-04-23T16:54:41Z | 2018-04-24T08:50:22Z | 2018-04-24T07:48:41Z | CONTRIBUTOR | null | - [x] closes #20762
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/20800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20800/events | https://github.com/pandas-dev/pandas/pull/20800 | 316,938,144 | MDExOlB1bGxSZXF1ZXN0MTgzNTI0NzA3 | 20,800 | BUG: Fixed NDFrame.transform('abs') | {
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So this is a hacky workaround. I think we would ideally whitelist a set of valid NDFrame.transform methods, but I don't want to break things. What would that list include?
- abs
- pct_change
- shift
- tshift
- cum* | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20801/events | https://github.com/pandas-dev/pandas/pull/20801 | 316,951,714 | MDExOlB1bGxSZXF1ZXN0MTgzNTMzNjY1 | 20,801 | ENH: ExtensionArray support for objects with _can_hold_na=False and relational operators | {
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] | closed | false | null | [] | null | 6 | 2018-04-23T19:28:08Z | 2018-06-29T14:01:45Z | 2018-04-24T20:19:24Z | CONTRIBUTOR | null | closes #20659
closes #20761
- [x] tests added / passed
- New tests/extensions/relobject tests arrays that cannot hold NaN, and has relational operators defined
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
- Not added as this is part of the ExtensionArray support co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20802/events | https://github.com/pandas-dev/pandas/pull/20802 | 316,976,058 | MDExOlB1bGxSZXF1ZXN0MTgzNTUyMTc5 | 20,802 | DEPR: Warn on empty Series dtype inference | {
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"color": "AD7... | closed | false | null | [] | null | 8 | 2018-04-23T20:44:33Z | 2019-01-14T12:18:34Z | 2019-01-14T12:18:34Z | CONTRIBUTOR | null | We're changing `Series([])` to be `object` instead of `float`. This does the warning
- [x] xref https://github.com/pandas-dev/pandas/issues/17261 (leave open till we make the change)
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"color": "a1... | open | false | null | [] | null | 0 | 2018-04-23T21:21:51Z | 2020-12-23T01:13:57Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
import resource
multindex = pd.MultiIndex.from_product([range(1000), range(1000)])
df = pd.DataFrame(np.random.randint(low=0, high=10, size=(len(multindex), 1)),
columns=['a'], index=mult... | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-04-23T23:48:23Z | 2018-07-06T20:21:27Z | 2018-04-24T10:29:15Z | NONE | null | Hey there! I've been working with Redshift for a long time now and I was wondering if it would make sense to add a `redshift` IO module in Pandas.
Right now, I'm using a custom package that is adding a couple of methods to Pandas `DataFrame` class. That said, I would love to contributo te Pandas doing this an offic... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20805 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20805/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20805/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20805/events | https://github.com/pandas-dev/pandas/issues/20805 | 317,047,354 | MDU6SXNzdWUzMTcwNDczNTQ= | 20,805 | DataFrame.from_records lose dtype info on empty recarray. | {
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... | 3 | 2018-04-24T02:23:30Z | 2021-03-22T17:32:03Z | 2021-03-22T17:32:02Z | CONTRIBUTOR | null | ```python
In [2]: from pandas import *
In [3]: a = np.array([(1, 2)], dtype=[('id', 'u8'), ('value', 'i8')])
In [4]: DataFrame.from_records(a[:0]).dtypes
Out[4]:
id float64
value float64
dtype: object
```
I think the dtypes are incorrect. The record array dtypes should pass through so you get ui... | {
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Closes https://github.com/pandas-dev/pandas/issues/20805 | {
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"followers_url": "https://api.github.com/users/jorisva... | 9 | 2018-04-24T09:12:02Z | 2021-06-19T18:09:19Z | null | NONE | null | Hi,
I would like to map a function expecting N arguments to a DataFrame of N columns. Today to do that I do:
```python
df = pd.DataFrame({"A": [1, 2, 3, 4], "B": [5, 6, 7, 8]})
def f(x,y):
return x*y
df[['A', 'B']].apply(lambda x: f(*x), axis=1)
```
So the `map` method for DataFrame would be:
```... | {
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```python
>>> start = pd.Timestamp('2008-01-02 07:51:37.999477')
>>> end = start + pd.Timedelta('2 hours')
>>> pd.date_range(start, end, periods=1000) # Intuitively a linearly spaced time series
Traceback (most recent call last):
File "<ipython-input-... | {
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- [x] tests added / passed
- [x] passes `git diff master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is an attempt to adapt #17378 according to @gfyoung 's suggestions.
(I do plan to investigate more in depth the problem in Windows, I just won't be able to do it soon) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20810 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20810/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20810/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20810/events | https://github.com/pandas-dev/pandas/issues/20810 | 317,225,170 | MDU6SXNzdWUzMTcyMjUxNzA= | 20,810 | BUG: inconsistent state of DatetimeIndex._data | {
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"followers_url": "https://api.github... | 0 | 2018-04-24T13:26:29Z | 2018-07-10T10:08:47Z | 2018-07-10T10:08:47Z | MEMBER | null | Depending on how a DatetimeIndex is constructed, the underlying `._data` attribute is a DatetimeIndex or a datetime64 ndarray:
```
In [1]: idx1 = pd.DatetimeIndex(start="2012-01-01", periods=3, freq='D') # date_range kind of construction
In [2]: idx1._data
Out[2]: DatetimeIndex(['2012-01-01', '2012-01-02', '201... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-04-24T16:44:13Z | 2018-04-24T19:13:31Z | 2018-04-24T19:13:29Z | CONTRIBUTOR | null | I believe it should be either `Then another Python operation ``dfmi_with_one['second']`` happens.` or `Then another Python operation ``dfmi_with_one['second']`` selects the series indexed by ``'second'``.` .
Not `Then another Python operation ``dfmi_with_one['second']`` selects the series indexed by ``'second'`` happe... | {
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