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https://api.github.com/repos/pandas-dev/pandas/issues/20912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20912/events | https://github.com/pandas-dev/pandas/pull/20912 | 319,348,417 | MDExOlB1bGxSZXF1ZXN0MTg1MjkxNjY1 | 20,912 | BUG: DatetimeIndex._data should return an ndarray | {
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"followers_url": "https://api.github... | 11 | 2018-05-01T22:23:35Z | 2018-07-10T20:40:41Z | 2018-07-10T10:08:47Z | CONTRIBUTOR | null | - [x] closes #20810
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The change I made seems to fix the case in the original issue without breaking any tests.
On my branch:
```
In [1]: idx1 = pd.DatetimeIndex(start="2012-01-01", periods=3, ... | {
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- [x] tests ~added~ / passed (using scripts/validate_docstrings.py)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
A result of the Pandas Sprint at PyData London 2018. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20914/events | https://github.com/pandas-dev/pandas/issues/20914 | 319,352,739 | MDU6SXNzdWUzMTkzNTI3Mzk= | 20,914 | Fix warnings catching with python2 | {
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"d... | closed | false | null | [] | null | 2 | 2018-05-01T22:45:20Z | 2019-06-17T20:26:59Z | 2019-06-17T20:26:59Z | MEMBER | null | #20770 [introduced](https://github.com/pandas-dev/pandas/commit/901fc641e7bcdaf285fb582b3e450498f4552fba) two ``skipif``s because some warnings (related to ``.loc`` being passed a list with missing labels on a ``MultiIndex``, which is supported but deprecated) would not be detected.
Oddly, whether the warnings are d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20915/events | https://github.com/pandas-dev/pandas/issues/20915 | 319,353,039 | MDU6SXNzdWUzMTkzNTMwMzk= | 20,915 | Int Index.slice_locs Not Raising with Float Arguments | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-05-01T22:46:42Z | 2019-02-13T13:04:32Z | 2019-02-13T13:04:32Z | MEMBER | null | xref #4892 as I'm going through #20812 I am seeing tests which suggest that trying to call `slice_locs` with float arguments against an integer type Index should raise a TypeError:
https://github.com/pandas-dev/pandas/blob/c4da79b5b322c73d8e61d1cb98ac4ab1e2438b40/pandas/tests/indexes/test_base.py#L1350
While thes... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20916 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20916/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20916/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20916/events | https://github.com/pandas-dev/pandas/issues/20916 | 319,356,153 | MDU6SXNzdWUzMTkzNTYxNTM= | 20,916 | Emit warning for missing keys in list-likes for partial indexing in MultiIndex | {
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... | 6 | 2018-05-01T23:01:09Z | 2021-11-15T19:04:32Z | null | MEMBER | null | We need the equivalent of #20770 for the case of partial indexing (which includes both indexing by lists of partial keys, and indexing by specifying a list for each level). It needs a separate approach because resulting indexers are different (as missing keys are dropped rather than replaced with NaN).
```python
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https://api.github.com/repos/pandas-dev/pandas/issues/20917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20917/events | https://github.com/pandas-dev/pandas/issues/20917 | 319,356,953 | MDU6SXNzdWUzMTkzNTY5NTM= | 20,917 | Index.slice_locs Missing Argument Only Raises with NA Data | {
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"description": "Related to indexing on s... | open | false | null | [] | null | 1 | 2018-05-01T23:05:12Z | 2021-06-19T18:27:02Z | null | MEMBER | null | xref #20915 perhaps another issue here - I can't tell if this is by design or not:
```python
>>> pd.__version__
'0.23.0.dev0+824.gc4da79b5b.dirty'
>>> index = pd.Index([1., 2.])
>>> index.slice_locs(1.5)
(1, 2)
>>> index = pd.Index([1., 2., np.nan])
>>> index.slice_locs(1.5)
pandas._libs.hashtable.Float6... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20918/events | https://github.com/pandas-dev/pandas/issues/20918 | 319,361,782 | MDU6SXNzdWUzMTkzNjE3ODI= | 20,918 | Please, add sharey keyword to boxplot. | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2018-05-01T23:29:37Z | 2018-06-08T11:27:30Z | 2018-06-08T11:27:30Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df.groupby('some feature').boxplot(sharey=False)
```
#### Problem description
Boxplot by default creates plots with shared y axis. The keyword `sharey=False` is not accepted. However, it would be consistent with df.plot(). This is unfortunate if y... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20919/events | https://github.com/pandas-dev/pandas/issues/20919 | 319,423,982 | MDU6SXNzdWUzMTk0MjM5ODI= | 20,919 | API：How can I apply a function on rolling DataFrames | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-05-02T06:25:29Z | 2021-02-06T11:29:22Z | 2018-05-02T10:24:33Z | NONE | null | #### well, my function's input is ndarray-like and it's output is a scaler. The question is I have no method to apply this function on rolling object.
```python
from sklearn.decomposition import PCA
df = pd.DataFrame({"A": [1, 2, 3, 4, 5, 6, 7, 8], "B": [2, 3, 4, 5, 6, 7, 8, 9]})
def first_variance(X):
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https://api.github.com/repos/pandas-dev/pandas/issues/20920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20920/events | https://github.com/pandas-dev/pandas/issues/20920 | 319,480,281 | MDU6SXNzdWUzMTk0ODAyODE= | 20,920 | ExcelFile.parse() and pd.read_xlsx() have different behavior for "sheetname" argument | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-05-02T09:34:08Z | 2018-05-04T10:09:39Z | 2018-05-04T10:09:39Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
* `pd.read_excel()`
```python
>>> import pandas as pd
>>> pd.read_excel('sampledata.xlsx', sheet_name='Sheet2')
a b c
0 this is sheet2
>>> pd.read_excel('sampledata.xlsx', sheetname='Sheet2')
/Users/<myname>/.pyenv/versions/miniconda3-late... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20921/events | https://github.com/pandas-dev/pandas/issues/20921 | 319,489,845 | MDU6SXNzdWUzMTk0ODk4NDU= | 20,921 | BUG: IntervalIndex.get_loc fails when there is only one entry | {
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```python
>>> import pandas as pd
>>> pd.IntervalIndex.from_tuples([(1,100)]).get_loc(50)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/imre/code/pandas/pandas/core/indexes/interval.py", line 1049, in get_loc
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https://api.github.com/repos/pandas-dev/pandas/issues/20922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20922/events | https://github.com/pandas-dev/pandas/issues/20922 | 319,510,242 | MDU6SXNzdWUzMTk1MTAyNDI= | 20,922 | Followup to #20347 (str_cat) | {
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Some requests for simplification. Most of the complexity seems to be in the code inferring what kind of regime we're in (one or more alignable objects vs. one or more unalignable objects vs. mix). Being strict here (after deprecating) or requiring additional user input may be worthwhile from a mainte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20923/events | https://github.com/pandas-dev/pandas/pull/20923 | 319,532,049 | MDExOlB1bGxSZXF1ZXN0MTg1NDIyOTYx | 20,923 | Follow-up #20347: incorporate review about _get_series_list | {
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"followers_url": "https://api.github.com/users/j... | 9 | 2018-05-02T12:28:24Z | 2018-05-04T11:00:25Z | 2018-05-04T10:11:14Z | CONTRIBUTOR | null | Closes #20922
recap of #20347 :
Enabling alignment on top of the (v.0.22-)legal list of lists was relatively complex. The allowed argument types implemented in #20347 are as follows:
```
Type of (element of) "others" | alone | within list-like
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https://api.github.com/repos/pandas-dev/pandas/issues/20924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20924/events | https://github.com/pandas-dev/pandas/pull/20924 | 319,561,520 | MDExOlB1bGxSZXF1ZXN0MTg1NDQ1NDAx | 20,924 | BLD: Use relative path in setup.py for pxd includes | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-05-02T13:52:29Z | 2018-05-02T14:46:09Z | 2018-05-02T14:46:02Z | CONTRIBUTOR | null | This caused failures on the conda-forge build
xref https://github.com/conda-forge/pandas-feedstock/pull/41 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20925/events | https://github.com/pandas-dev/pandas/issues/20925 | 319,564,170 | MDU6SXNzdWUzMTk1NjQxNzA= | 20,925 | Series.reset_index(level_name, drop=True) accepts invalid name when index is flat | {
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"color": "ff... | closed | false | null | [] | null | 10 | 2018-05-02T13:58:54Z | 2018-05-18T05:53:46Z | 2018-05-18T05:53:46Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: s = pd.Series(range(4))
In [3]: s.reset_index('wrong', drop=True)
Out[3]:
0 0
1 1
2 2
3 3
dtype: int64
In [4]: s.reset_index('wrong')
---------------------------------------------------------------------------
KeyErro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20926/events | https://github.com/pandas-dev/pandas/issues/20926 | 319,587,017 | MDU6SXNzdWUzMTk1ODcwMTc= | 20,926 | BLD: Lint for invalid files in wheels / packages | {
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... | 2 | 2018-05-02T14:53:27Z | 2019-12-18T22:13:38Z | null | CONTRIBUTOR | null | We should be able to catch things like https://github.com/conda-forge/pandas-feedstock/pull/41#issuecomment-385981073 as part of our CI. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20927/events | https://github.com/pandas-dev/pandas/issues/20927 | 319,597,276 | MDU6SXNzdWUzMTk1OTcyNzY= | 20,927 | read_sas OverflowError: int too big to convert with '31DEC9999'd formatted as DATE9. | {
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"description": "SAS: read_sas",
"id"... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 8 | 2018-05-02T15:17:33Z | 2020-05-25T21:47:53Z | 2020-05-25T21:47:53Z | CONTRIBUTOR | null | ```python
import os
import pandas as pd
sasDS_works = 'highDate_works.sas7bdat'
sasDS_fails = 'highDate_fails.sas7bdat'
path = r'C:\temp'
print(sasDS_works)
df = pd.read_sas(os.path.join(path, sasDS_works))
print(df)
print(sasDS_fails)
df = pd.read_sas(os.path.join(path, sasDS_fails))
print(df)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/20928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20928/events | https://github.com/pandas-dev/pandas/pull/20928 | 319,623,704 | MDExOlB1bGxSZXF1ZXN0MTg1NDkyNzA4 | 20,928 | Added script to fetch wheels [ci skip] | {
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Minor typo, but might be nice to fix prior to the official 0.23.0 release. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20930/events | https://github.com/pandas-dev/pandas/issues/20930 | 319,651,920 | MDU6SXNzdWUzMTk2NTE5MjA= | 20,930 | DOC: Index.get_loc Cannot Accept List-like Tolerance | {
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"description": "Related to the Index ... | closed | false | null | [] | null | 4 | 2018-05-02T17:54:19Z | 2019-06-29T18:29:08Z | 2019-06-29T18:29:08Z | MEMBER | null | The docs for `Index.get_loc` suggest that the tolerance parameter may accept both a scalar and list-like argument. However, I don't think this is actually possible:
```python
# Can only pass scalar label to unique Index, so tolerance cannot be list-like
>>> pd.Index([0, 1, 2]).get_loc(1)
1
>>> pd.Index([0, 1, 2]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20931/events | https://github.com/pandas-dev/pandas/pull/20931 | 319,656,873 | MDExOlB1bGxSZXF1ZXN0MTg1NTE4MjY2 | 20,931 | Base Index Tests Cleanup Part 3 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20932/events | https://github.com/pandas-dev/pandas/issues/20932 | 319,679,726 | MDU6SXNzdWUzMTk2Nzk3MjY= | 20,932 | API: expose `axis` keyword in pandas.core.algorithms.take | {
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"followers_url": "https://api.github.com/users/j... | 0 | 2018-05-02T19:20:24Z | 2018-05-10T18:25:31Z | 2018-05-10T18:25:31Z | CONTRIBUTOR | null | I haven't quite replaced cyberpandas' take with pandas' yet. I think one reason is that I need to be able to pass axis through to `pandas.core.algorithms.take`
We'll have to be careful. The default for `take_nd` is 0, while for `ndarray.take` it's None. I think we want the default to be 0.
I still have to figure ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20933/events | https://github.com/pandas-dev/pandas/pull/20933 | 319,714,623 | MDExOlB1bGxSZXF1ZXN0MTg1NTYyOTM3 | 20,933 | Fixes Update docs on reserved attributes #20878 | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-05-02T21:14:13Z | 2018-05-08T00:30:29Z | 2018-05-08T00:30:29Z | CONTRIBUTOR | null | - [x] closes #20878
- [ ] 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/20934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20934/events | https://github.com/pandas-dev/pandas/pull/20934 | 319,722,077 | MDExOlB1bGxSZXF1ZXN0MTg1NTY4ODEy | 20,934 | CLN: removed unused "convert" parameter to _take | {
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Followup to #20841: the ``convert`` parameter to ``_take`` is irrelevant: the conversion of negative to positive indices is required only for ``Categorical``s (and only until we normalize their ``take`` behavior with negative indices). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20935/events | https://github.com/pandas-dev/pandas/issues/20935 | 319,733,246 | MDU6SXNzdWUzMTk3MzMyNDY= | 20,935 | ParserError on read_table/read_csv while reading CSV file | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-05-02T22:26:50Z | 2021-09-01T22:32:11Z | 2018-05-03T00:14:20Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [137]: probes = pd.read_csv('example_pandas.csv', sep=',', index_col=0)
---------------------------------------------------------------------------
ParserError Traceback (most recent call last)
<ipython-input-137-09d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20936/events | https://github.com/pandas-dev/pandas/issues/20936 | 319,741,371 | MDU6SXNzdWUzMTk3NDEzNzE= | 20,936 | __new__() missing 1 required positional argument: 'name' | {
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Attempting to read pickle, and getting this error:
```python
--------------------------------------------------------------------
TypeError Traceback (most recent call last)
~/anaconda2/envs/py3/lib/python3.6/site-packages/pandas/io/pickle.py in try_read(path, enc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20937/events | https://github.com/pandas-dev/pandas/issues/20937 | 319,748,182 | MDU6SXNzdWUzMTk3NDgxODI= | 20,937 | BUG: Series(DTI/TDI) loses the frequency information from original DTI/TDI | {
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DTI example below, same general behavior occurs for TDI:
```python
In [2]: dti = pd.date_range('20180101', periods=3, freq='B')
In [3]: dti.freq
Out[3]: <BusinessDay>
In [4]: s = pd.Series(dti)
In [5]: s.dt.freq
Out[5]: 'D'
```
This appears to be c... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-05-03T01:02:09Z | 2018-05-04T10:09:45Z | 2018-05-04T10:09:39Z | CONTRIBUTOR | null | * ExcelFile.parse
* Made to raise FutureWarning and TypeError when using `sheetname`
* ExcelFile._parse_excel
* Changed parameter name from `sheetname` to `sheet_name`
- [ ] closes #20920
- [ ] 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/20939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20939/events | https://github.com/pandas-dev/pandas/pull/20939 | 319,828,534 | MDExOlB1bGxSZXF1ZXN0MTg1NjQ2MjQ3 | 20,939 | BUG: cant modify df with duplicate index (#17105) | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-05-03T08:28:15Z | 2018-05-08T00:23:41Z | 2018-05-08T00:23:34Z | CONTRIBUTOR | null | - [x] closes #17105
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fixing to allow the modification of DataFrames that have duplicate elements in the index. Previously it would fail with
```
AttributeError: 'bool' object has no attribute 'a... | {
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] | closed | false | null | [] | null | 4 | 2018-05-03T08:37:02Z | 2018-11-09T18:03:54Z | 2018-07-02T20:42:50Z | NONE | null | #### Problem description
I'm using read_sas() to read sas7bdat file into python, some SAS file works while some encounter the following error. The files works fine in SAS so I want to know why it happen when I read it in python.
ValueError Traceback (most recent call last)
pandas/i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20941 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20941/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20941/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20941/events | https://github.com/pandas-dev/pandas/pull/20941 | 319,861,991 | MDExOlB1bGxSZXF1ZXN0MTg1NjcxNTQy | 20,941 | DOC: followup to #20583, observed kwarg for .groupby | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-05-03T10:16:31Z | 2018-05-05T12:44:44Z | 2018-05-05T12:44:14Z | CONTRIBUTOR | null | closes #20902
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https://api.github.com/repos/pandas-dev/pandas/issues/20942 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20942/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20942/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20942/events | https://github.com/pandas-dev/pandas/pull/20942 | 319,862,848 | MDExOlB1bGxSZXF1ZXN0MTg1NjcyMjEw | 20,942 | Update link to NumPy Docstring Standard explanation | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-05-03T10:19:32Z | 2018-05-03T10:22:33Z | 2018-05-03T10:22:30Z | CONTRIBUTOR | null | - [ ] whatsnew Updated link to NumPy DocString from `https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt` to `https://numpydoc.readthedocs.io/en/latest/` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20943 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20943/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20943/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20943/events | https://github.com/pandas-dev/pandas/issues/20943 | 319,901,912 | MDU6SXNzdWUzMTk5MDE5MTI= | 20,943 | pd.read_sql does not handle queries that return nothing | {
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] | closed | false | null | [] | null | 3 | 2018-05-03T12:35:44Z | 2018-05-08T15:33:48Z | 2018-05-08T15:33:48Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import sqlite3
import pandas as pd
conn = sqlite3.connect('tmp')
df = pd.DataFrame({'a': [0,1,2]})
df.to_sql('df', conn)
pd.read_sql('INSERT INTO df (a) VALUES (3);', conn) # query that returns nothing (no row, no column)
TypeError ... | {
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"descript... | closed | false | null | [] | null | 10 | 2018-05-03T14:46:18Z | 2020-08-26T19:41:13Z | 2020-08-26T19:41:13Z | CONTRIBUTOR | null | Here are 2 ways to drop rows from a pandas data-frame based on a condition:
1. `df = df[condition]`
2. `df.drop(df[condition].index, axis=0, inplace=True)`
The first one does not do it *inplace*, right?
The second one does not work as expected when the index is not unique, so the user would need to `reset_i... | {
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df = pd.DataFrame([
['DIM', 'A', 1, 2, 3, 4],
['DIM', 'B', 11, 22, 33, 44],
])
df.columns = ["dim1", "dim2", 'c', 'b', 'a', 'd']
df = df.set_index(["dim1", "dim2"])
df.columns.name = 'metrics'
print(df)
metrics c b a d
dim1 dim2
DIM A 1 2 3 4
B ... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-05-04T00:25:09Z | 2018-05-05T19:17:56Z | 2018-05-05T12:53:37Z | MEMBER | null | - [X] closes #17284
- [X] closes #20921
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/20948 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20948/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20948/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20948/events | https://github.com/pandas-dev/pandas/issues/20948 | 320,235,945 | MDU6SXNzdWUzMjAyMzU5NDU= | 20,948 | Indexing DataFrame with DateOffset is nearly impossible | {
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```python
offsets = pd.Series(data=[-15, -10, -5, 0, 5, 10, 15], dtype=float).map(pd.DateOffset)
df = pd.DataFrame(index=[0, 1], columns=offsets)
df.loc[0, offsets[0]] # raises an error
df.at[0, offsets[0]] # this works
df.at[0, offset... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20949 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20949/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20949/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20949/events | https://github.com/pandas-dev/pandas/issues/20949 | 320,236,174 | MDU6SXNzdWUzMjAyMzYxNzQ= | 20,949 | pandas.core.groupby.GroupBy.apply fails | {
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```python
>>> df = pd.DataFrame({'A': 'a a b'.split(), 'B': [1,2,3], 'C': [4,6, 5]})
>>> g = df.groupby('A')
>>> g.apply(lambda x: x / x.sum())
```
#### Problem description
Applying a function to a grouped data frame fails. The code above is the example code from the official pandas documentati... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20950 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20950/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20950/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20950/events | https://github.com/pandas-dev/pandas/pull/20950 | 320,247,058 | MDExOlB1bGxSZXF1ZXN0MTg1OTYyMjcz | 20,950 | CLN: add missing space in package's description | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-05-04T11:53:49Z | 2018-05-05T12:43:48Z | 2018-05-05T12:43:45Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
The typo fixed here is in the package description, so it shows up in `pip show`. I'd say this fix needs no issue or whatsnew entry; if you feel otherwise, please say so and I'll ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20951 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20951/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20951/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20951/events | https://github.com/pandas-dev/pandas/issues/20951 | 320,254,818 | MDU6SXNzdWUzMjAyNTQ4MTg= | 20,951 | Addressing multiindex raises TypeError if indices that are rightmost are not present | {
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```python
import pandas as pd
import numpy as np
A = [100, 100, 200, 200, 300, 300]
B = [10, 10, 20, 21, 31,33]
C = np.random.randint(0, 99, 6)
test_df = pd.DataFrame({'A': A, 'B': B, 'C': C})
test_df = test_df.set_index(['A', 'B'])
print(test_df)
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20952 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20952/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20952/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20952/events | https://github.com/pandas-dev/pandas/issues/20952 | 320,295,655 | MDU6SXNzdWUzMjAyOTU2NTU= | 20,952 | Failure to install pandas 0.22.x from source because of numpy 1.9.3 | {
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I pulled the source code for branch `0.22.x` from GitHub, installed X-code command-line tools and miniconda3, and followed the steps [here](http://pandas.pydata.org/pandas-docs/stable/contributing.html#contributiong-dev-python) to install pandas:
```bash
cond... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20953 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20953/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20953/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20953/events | https://github.com/pandas-dev/pandas/pull/20953 | 320,297,661 | MDExOlB1bGxSZXF1ZXN0MTg2MDAxMDcw | 20,953 | Add pip 9.0.3 to conda environment to avoid numpy 1.9.3 error | {
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'No matching distribution found for numpy==1.9.3'.
See #20952 for more details. This change works for me. Closes #20952 .
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry | {
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... | 3 | 2018-05-04T14:32:27Z | 2021-05-31T15:14:58Z | null | NONE | null | #### Sample Code
```python
import pandas as pd
import numpy as np
df = pd.DataFrame(data={'a': [-0.04096, -0.04096, -0.04096, -0.04096, -0.04096],
'b': [1., 2., 3., 4., 5.],
'c': [0.053646, 0.053646, 0.053646, 0.053646, 0.053646]},
dtype=np.fl... | {
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] | closed | false | null | [] | null | 4 | 2018-05-04T15:13:36Z | 2018-05-08T15:21:09Z | 2018-05-08T15:21:09Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
I build `pandas` from source following [these steps](https://github.com/pandas-dev/pandas/tree/master/doc), then I `cd` into `doc` and run this command to build the documentation:
```
$ python make.py html
Running Sphinx v1.7.4
Exception occurred while bui... | {
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"followers_url": "https://api.github... | 3 | 2018-05-05T05:29:13Z | 2018-07-03T16:41:34Z | 2018-07-03T15:34:15Z | MEMBER | null | - [x] closes #19891
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/20957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20957/events | https://github.com/pandas-dev/pandas/issues/20957 | 320,502,572 | MDU6SXNzdWUzMjA1MDI1NzI= | 20,957 | TST: Some tests fail when parsing en_IL locale | {
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] | closed | false | null | [] | null | 5 | 2018-05-05T11:39:55Z | 2018-05-26T04:09:42Z | 2018-05-05T14:46:57Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Some tests fail when parsing `en_IL` locale in latest Ubuntu (e.g. `TestSeriesDatetimeValues.test_dt_accessor_datetime_name_accessors`).
##### Ubuntu version
```bash
(pandas-dev) [pandas] lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
D... | {
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... | 3 | 2018-05-05T13:44:13Z | 2019-12-01T17:48:45Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: pd.__version__
Out[2]: '0.23.0rc2'
In [3]: dates = [pd.Timestamp("2016-01-0%d 12:00:00" % i, tz='US/Pacific')
...: for i in range(1, 5)]
...: df = pd.DataFrame({'A': ['a', 'b'] * 2, 'B': dates... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20959/events | https://github.com/pandas-dev/pandas/pull/20959 | 320,513,666 | MDExOlB1bGxSZXF1ZXN0MTg2MTU5MTM1 | 20,959 | BUG in .groupby.apply when applying a function that has mixed data types and the user supplied function can fail on the grouping column | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20960/events | https://github.com/pandas-dev/pandas/pull/20960 | 320,523,562 | MDExOlB1bGxSZXF1ZXN0MTg2MTY0OTY2 | 20,960 | DOC: add reshaping visuals to the docs (Reshaping and Pivot Tables) | {
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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/20961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20961/events | https://github.com/pandas-dev/pandas/pull/20961 | 320,528,490 | MDExOlB1bGxSZXF1ZXN0MTg2MTY4MDMz | 20,961 | PERF: removed coercion to int64 in Categorical.from_codes | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/20962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20962/events | https://github.com/pandas-dev/pandas/issues/20962 | 320,553,818 | MDU6SXNzdWUzMjA1NTM4MTg= | 20,962 | df.rank() has different behavior for python2 and python3 | {
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] | closed | false | null | [] | null | 5 | 2018-05-06T01:16:16Z | 2019-06-15T12:32:24Z | 2019-06-15T12:32:24Z | NONE | null | #### Code Sample, a copy-pastable example if possible
python3
```python
In [1]: import pandas as pd
In [2]: pandas_df = pd.DataFrame({
...: 'col1': [1, 2, 3, 4],
...: 'col2': [4, 5, 6, 7],
...: 'col3': [8.0, 9.4, 10.1, 11.3],
...: 'col4': ['a', 'b', 'c', 'd']})
...:
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https://api.github.com/repos/pandas-dev/pandas/issues/20963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20963/events | https://github.com/pandas-dev/pandas/issues/20963 | 320,563,019 | MDU6SXNzdWUzMjA1NjMwMTk= | 20,963 | Error when indexing with `.loc` on index with mixed types (integer and string) | {
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```python
import pandas as pd
df = pd.DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9]],
index=[1, "a", 0],
columns=["a", "b", "c"])
print(df.loc[[1, 0], ["a", "b"]])
```
Returns
```
a b
a 4 5
1 1 2
```
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https://api.github.com/repos/pandas-dev/pandas/issues/20964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20964/events | https://github.com/pandas-dev/pandas/issues/20964 | 320,564,712 | MDU6SXNzdWUzMjA1NjQ3MTI= | 20,964 | BUG: Index with integer data and datetime64[ns, tz] dtype does not localize correctly | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 1 | 2018-05-06T05:40:45Z | 2018-06-14T10:05:29Z | 2018-06-14T10:05:29Z | MEMBER | null | ```
In [1]: pd.__version__
Out[1]: '0.23.0rc2+16.gccf4b96.dirty'
In [2]: val = [pd.Timestamp('2018-01-01', tz='US/Pacific').value]
In [3]: pd.Index(val, dtype='datetime64[ns, US/Pacific]')
Out[3]: DatetimeIndex(['2018-01-01 08:00:00-08:00'], dtype='datetime64[ns, US/Pacific]', freq=None)
```
The localizati... | {
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"followers_url": "https://api.github... | 9 | 2018-05-06T06:54:02Z | 2018-10-09T12:54:35Z | 2018-10-09T12:54:03Z | CONTRIBUTOR | null | - [x] closes #20699
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/20966 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20966/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20966/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20966/events | https://github.com/pandas-dev/pandas/pull/20966 | 320,571,755 | MDExOlB1bGxSZXF1ZXN0MTg2MTkzNDU3 | 20,966 | BUG: Fix wrong khash method definition | {
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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
df = pd.DataFrame({'x':[1.0]})
df.x[1] = 2
df['x'][2] = 3
df.set_index('x', inplace=True)
```
#### Problem description
The final statement fails with
```python
ValueError: Length mismatch: Expected axis has 1 elements, new values have 3 elements
```
because `df.x` has been extende... | {
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"followers_url": "https://api.github... | 11 | 2018-05-06T17:03:31Z | 2018-06-08T16:25:29Z | 2018-06-08T11:27:30Z | CONTRIBUTOR | null | …to _subplots().
.. code-block:: jupyter-notebook
%pylab inline
import pandas as pd
N = 100
rand = random.random(N)
clas = random.binomial(5,.5, N)
df = pd.DataFrame({'Rand': rand-clas,
'Rand2': rand,
'Class': clas},
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"descriptio... | closed | false | null | [] | null | 7 | 2018-05-06T23:17:07Z | 2019-04-24T16:18:37Z | 2019-04-24T16:18:37Z | NONE | null | I have read in an hdf of 4 million+ rows and now I want to convert it to a sample CSV:
```
df_small = df[:int(1e6)]
df_small.to_csv("X.csv", sep='\t')
len(df_small)
# out: 1,000,000
```
The dataframe consists of a datetime index and a text column.
When I read the CSV back in, I get more rows than when I saved... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20970/events | https://github.com/pandas-dev/pandas/issues/20970 | 320,639,978 | MDU6SXNzdWUzMjA2Mzk5Nzg= | 20,970 | performance when "combining" categories | {
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"default"... | open | false | null | [] | null | 2 | 2018-05-06T23:48:06Z | 2018-05-10T16:44:28Z | null | CONTRIBUTOR | null | I have a performance question that is a follow-up to [this SO question](https://stackoverflow.com/questions/32262982/pandas-combining-multiple-categories-into-one). I apologize for the repeat, but my question is more focused on the performance issue, not how to do it.
So suppose I have a `categorical` with many cat... | {
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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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df = pd.DataFrame({'tip': [16.99, 10.34, 23.68, 23.68, 24.59],
... 'sex': ['Female', 'Male', 'Male', 'Male', 'Female']})
df
sex tip
0 Female 16.99
1 Male 10.34
2 Male 23.68
3 Male 23.68
4 Female 24.59
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- [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/20975 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20975/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20975/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20975/events | https://github.com/pandas-dev/pandas/issues/20975 | 320,849,048 | MDU6SXNzdWUzMjA4NDkwNDg= | 20,975 | Slicing columns with mixed types <str>,<int> fails with ValueError | {
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```python
In []:
df = pd.DataFrame({'test':1, 1:2, 2:3}, index=[0])
df.loc[:, 'test':]
Out[]:
test 1 2
0 1 2 3
In []:
df.loc[:, 1:]
Out[]:
TypeError Traceback (most recent call last)
<ipython-input-655-3b97c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20976 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20976/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20976/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20976/events | https://github.com/pandas-dev/pandas/issues/20976 | 321,034,809 | MDU6SXNzdWUzMjEwMzQ4MDk= | 20,976 | ENH: linspace behavior for timedelta_range and interval_range | {
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This behavior is not supported by `timedelta_range` or `interval_range`, so it seems like it should be added for consistency with `date_ran... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20977/events | https://github.com/pandas-dev/pandas/pull/20977 | 321,129,806 | MDExOlB1bGxSZXF1ZXN0MTg2NTkwODk3 | 20,977 | COMPAT: 32-bit indexing compat | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20978 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20978/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20978/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20978/events | https://github.com/pandas-dev/pandas/issues/20978 | 321,150,278 | MDU6SXNzdWUzMjExNTAyNzg= | 20,978 | Pandas Series output only shows "inf" values | {
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I'm using `Pandas 0.18.1 `(can't upgrade due to dependencies) and I have a `pandas.core.series.Series` with `dtype=float64` and values which I pulled from a CSV file. If I print the series I always get one value while the remaining values are all `inf`. I access the values using the `history() `method from the `z... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20979 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20979/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20979/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20979/events | https://github.com/pandas-dev/pandas/pull/20979 | 321,257,598 | MDExOlB1bGxSZXF1ZXN0MTg2Njg4NTQy | 20,979 | Parametrization of indexes/test_base #4 | {
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This should be it for parametrizing tests. Plan is to look at and clean up fixtures after this | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20980 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20980/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20980/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20980/events | https://github.com/pandas-dev/pandas/pull/20980 | 321,336,743 | MDExOlB1bGxSZXF1ZXN0MTg2NzQ3OTM2 | 20,980 | Preserve Alignment Between Index and Values for Non-Monotonic Stack | {
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- [X] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Not overly familiar with this code so submitting for review as there's probably a better way of going about it. The root cause of the referenced issue IIUC is that the index lab... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20981 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20981/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20981/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20981/events | https://github.com/pandas-dev/pandas/issues/20981 | 321,352,072 | MDU6SXNzdWUzMjEzNTIwNzI= | 20,981 | DataFrame groupby.aggregate.to_dict() to JSON-compatible nested dict or list | {
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```python
df_gb = df.groupby(['Factor1','Factor2'])['Values'].aggregate([np.mean, np.std])
df_sum = df_gb.groupby(['Factor1','Factor2']).aggregate(np.sum)
df_sum.to_dict()
{'mean': {(Factor1Name1, 'Factor2Name1'): 25.368616852061802,
(Factor1Name1, 'Factor2Name2'): 17.085360464000004,
(F... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20982 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20982/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20982/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20982/events | https://github.com/pandas-dev/pandas/issues/20982 | 321,380,074 | MDU6SXNzdWUzMjEzODAwNzQ= | 20,982 | DOC: Difficulty Novice tag in contributing section doesn't exist | {
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] | closed | false | null | [] | null | 1 | 2018-05-08T23:25:39Z | 2018-05-09T15:19:59Z | 2018-05-09T15:19:59Z | CONTRIBUTOR | null | The [`Difficulty Novice`](https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3Aissue+label%3A%22Difficulty+Novice%22) tag recommended in the [main README.md Contributing section](https://github.com/pandas-dev/pandas/blob/master/README.md#contributing-to-pandas-) doesn't seem to exist anymore. I think the right ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20983 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20983/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20983/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20983/events | https://github.com/pandas-dev/pandas/issues/20983 | 321,381,190 | MDU6SXNzdWUzMjEzODExOTA= | 20,983 | BUG: linspace behavior for date_range is incorrect when tz aware | {
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xref #20846
```python
In [2]: dti = pd.date_range('20180101', '20180103', periods=3, tz='US/Eastern')
In [3]: dti
Out[3]: DatetimeIndex(['2017-12-31', '2018-01-01', '2018-01-02'], dtype='datetime64[ns, US/Eastern]', freq=None)
In [4]: dti[0]
Out[4]: T... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
With the changes made in #20949 it appears possible to fix this bug by suppressing a `catch` block that was internal to Rolling's `_apply`. I'm not sure what the purpose of this... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20985 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20985/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20985/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20985/events | https://github.com/pandas-dev/pandas/issues/20985 | 321,395,739 | MDU6SXNzdWUzMjEzOTU3Mzk= | 20,985 | regarding saving generated arrays into into independent column | {
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`... | {
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https://github.com/pandas-dev/pandas/issues/20986#issuecomment-436065299
```python
from io import StringIO
from pandas import concat, DataFrame, read_table
buffer = StringIO("""\
study SRP052491 SRP052491
run SRR1762738 SRR1762739
gene_id
ENSG00000000003.14 16641 11561\
""")
expression... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20987 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20987/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20987/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20987/events | https://github.com/pandas-dev/pandas/issues/20987 | 321,442,238 | MDU6SXNzdWUzMjE0NDIyMzg= | 20,987 | DEPR: DataFrame dropna accepting multiple axes | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-05-09T06:07:42Z | 2018-05-10T10:32:10Z | 2018-05-10T10:32:10Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
This is the relevant code extract from pandas source:
```python
if isinstance(axis, (tuple, list)):
result = self
for ax in axis:
result = result.dropna(how=how, thresh=thresh, subset=subset, axis=ax)
```
This is the output from ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry (addendum to the v0.23 whatsnew entry for this feature)
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#### Code Sample
```python
import pandas as pd
import numpy as np
count = 6
index = pd.date_range('2018-01-01', periods=count, freq='M')
a = pd.Series(np.arange(count), index=index)
a.index.name = 'name' # This causes the failure.
b = a.copy()
b.index = a.index.map(lambda ... | {
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```python
print "-- Good example --"
df=pd.DataFrame([[tuple([1,2])],[tuple([1])]], columns=['a']).set_index('a')
z=df.index[0]
df.loc[[z]]
print "-- Buggy example --"
z=df.index[1]
df.loc[[z]]
```
Results in:
-- Good example --
a
(1, 2)
-- Buggy example --
KeyErrorTrac... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-05-09T15:16:31Z | 2018-05-09T15:19:59Z | 2018-05-09T15:19:59Z | CONTRIBUTOR | null | This changes the recommended tag for new contributors from `Difficulty Novice` to `good first issue` in both main README.md and /doc/source/contributing.rst.
closes #20982 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20993 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20993/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20993/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20993/events | https://github.com/pandas-dev/pandas/issues/20993 | 321,678,752 | MDU6SXNzdWUzMjE2Nzg3NTI= | 20,993 | TypeError when inserting uncertainties ufloat object into a DataFrame | {
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```python
from uncertainties import ufloat, UFloat
import pandas as pd
def test(name, key, value):
dframe = pd.DataFrame()
dframe.loc[name, key] = value
return dframe
test('000_osci', 'laser_%', ufloat(99, 4))
```
#### Problem description
Dear pandas developers,
I ... | {
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```python
In [1]: mi = pd.MultiIndex.from_product([[0], ['d', 'c']], names=['bar', 'baz'])
In [2]: df = pd.DataFrame([[0, 2], [1, 3]], index=mi, columns=['B', 'A'])
In [3]: df.columns.name = 'foo'
In [4]: df
O... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-05-09T21:41:01Z | 2018-05-10T21:02:01Z | 2018-05-10T10:32:10Z | CONTRIBUTOR | null | Deprecates multiple axes passing to `dropna`.
I added the whatsnew to 0.23.0 for now, I can move this to 0.24.0 later if preferred once the whatsnew doc is created.
- [x] closes #20987
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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] | closed | false | null | [] | null | 6 | 2018-05-09T22:12:22Z | 2018-05-12T18:38:20Z | 2018-05-12T18:38:15Z | CONTRIBUTOR | null | Until Issue #11704 is completed, raise a NotImplementedError to provide
a more clear error message when attempting to iterate over a Rolling
or Expanding window. | {
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"followers_url": "https://api.github... | 1 | 2018-05-10T05:15:41Z | 2018-06-14T10:05:29Z | 2018-06-14T10:05:29Z | MEMBER | null | Is there a historical reason why an Int64Index (defaulting to represent epoch timestamps) cannot be converted to a DatetimeIndex?
```
In [7]: pd.__version__
Out[7]: '0.23.0rc2+27.geff1faf.dirty'
In [8]: val = [pd.Timestamp('2018-01-01').value]
In [9]: pd.DatetimeIndex(pd.Index(val))
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-05-10T14:27:29Z | 2018-05-10T18:25:35Z | 2018-05-10T18:25:31Z | CONTRIBUTOR | null | - [x] closes #20932
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
One thing that's worrisome here: for N-D arrays, the `fill_value` argument is set for each element. In the case of IPArray, this is fine, since my storage NA-value is (0, 0), so I would pass `fill_v... | {
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- [ ] tests added / **passed**
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
```
In [3]: arr = np.ones(10000000,dtype='int8')
# master
In [4]: %timeit pd.Categorical.from_codes(arr, ['foo', 'bar'])
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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/21002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21002/events | https://github.com/pandas-dev/pandas/issues/21002 | 322,031,301 | MDU6SXNzdWUzMjIwMzEzMDE= | 21,002 | Rendering Series[Categorical] raises UnicodeDecodeError | {
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- The series must have length at least 61 (Note: `pd.get_option('max_rows') == 60`)
- python2
- sys.getdefaultencoding() == 'ascii'
Reproduce with:
```
from pandas.core... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21003/events | https://github.com/pandas-dev/pandas/issues/21003 | 322,038,519 | MDU6SXNzdWUzMjIwMzg1MTk= | 21,003 | pandas plotting raises ValueError on style strings that should be valid according to spec. | {
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```python
import pandas as pd
from numpy.random import random
import matplotlib.pyplot as plt
data = random((7,4))
fmt = 'd'
plt.plot(data, fmt, color='green') # works as expected (no error)
df = pd.DataFrame(data)
df.plot(color='green', style=fmt)
# The previous line raises ValueEr... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-05-10T18:49:16Z | 2020-10-12T15:09:05Z | 2020-10-12T15:09:05Z | NONE | null | The generated "stable" [docs for `pandas.set_option()`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.set_option.html) (as well as the [Travis docs](https://pandas-docs.github.io/pandas-docs-travis/generated/pandas.set_option.html) as of this writing) describe `display.precision` as:
> Floating point... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21005 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21005/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21005/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21005/events | https://github.com/pandas-dev/pandas/issues/21005 | 322,043,632 | MDU6SXNzdWUzMjIwNDM2MzI= | 21,005 | huge memory allocation and slowdown when indexing | {
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To run this code you'll need a somewhat large matrix. You can get my `expression.tsv` from [here](https://figshare.com/articles/Transcriptomic_analysis_of_CA1_inhibitory_interneurons/6198656). Then run this:
```
import numpy as np
import pandas as pd
expr... | {
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"followers_url": "https://api.github... | 2 | 2018-05-11T02:37:51Z | 2018-06-23T16:12:23Z | 2018-06-23T16:12:19Z | MEMBER | null | Starting the conversation towards #14468
There were a couple misplaced annotations below docstrings that were causing mypy to choke when running:
```bash
mypy pandas --ignore-missing-imports
```
A starred import in pandas.core.dtypes.common was responsible for a lot of complaints from mypy. These were being ... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Summary:
- added linspace behavior support to `timedelta_range`
- added linspace behavior support to `interval_range`
- refactored `test_interval_range.py` to use `parame... | {
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] | closed | false | null | [] | null | 2 | 2018-05-11T08:54:04Z | 2018-05-11T13:06:31Z | 2018-05-11T13:06:08Z | MEMBER | null | This reverts commit 8e3d4d08501dc83d4c2302686c8342e7448c78e5.
- [x] tests passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
I had introduced the explicit casting to solve broken tests on Windows, but @jreback's #20989 is the correct way to do it, so these are now redundant.
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