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https://api.github.com/repos/pandas-dev/pandas/issues/27113 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27113/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27113/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27113/events | https://github.com/pandas-dev/pandas/pull/27113 | 462,228,702 | MDExOlB1bGxSZXF1ZXN0MjkyOTg2MjIy | 27,113 | DEPR: Change current DeprecationWarnings to FutureWarnings | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
in prep for removal in 1.0 after 0.25.0 is released. | {
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- [ ] tests added / passed
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https://github.com/pandas-dev/pandas/pull/25092/files#r298672802 | {
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https://docs.python.org/3/library/typing.html#typing.Type
This is a bump of the setup files and docs to 3.5.2. | {
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Assuming `frame` is a pandas DataFrame which contains column `cal_dt`. If I want to write the DataFrame into a parquet partitioned by the column `cal_dt`, I have the following code without reading the doc carefully.
```python
frame.to_parquet('partitioned_parquet... | {
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- [ ] tests added / passed
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How do I go about adding tests for that rely on an external module?
Would be something like
```python3
df = pd.DataFrame({
"length" : pd.Series([1,2],dtype = pd.Int1... | {
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The ``pytest.raises(AttributeError, ...)`` are somewhat superfluous in that they test a limit of the implementation, rather than a guarantee of the API... but they still make th... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Removed:
- Using `Series` as list-like in `rename_categories`
- `DataFrame/Series.reindex_axis`
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https://api.github.com/repos/pandas-dev/pandas/issues/27122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27122/events | https://github.com/pandas-dev/pandas/pull/27122 | 462,312,042 | MDExOlB1bGxSZXF1ZXN0MjkzMDQ0NzEx | 27,122 | Regenerated Excel files to Suppress Openpyxl Warnings | {
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```sh
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suppose I have three ndarrays, different dtypes, and I'd like to place them in a DataFrame. However, one of more of the arrays is 2D.
Right now, I'd probably do something like
```python
In [18]: a = np.random.randn(10, 2)
In [19]: b = np.random.randn(10,)
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```
=================================== FAILURES ===================================
_____________________________ test_agg_consistency _____________________________
[gw0] darwin -- Python 3.5.6 /Users/vsts/miniconda3/envs/pandas-dev/bin/python
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On master:
```python
In [1]: import numpy as np; import pandas as pd; pd.__version__
Out[1]: '0.25.0.dev0+833.gad18ea35b'
In [2]: pd.Index(np.arange(8).reshape(2, 2, 2))
Out[2]: Int64Index([[[0, 1], [2, 3]], [[4, 5], [6, 7]]], dtype='int64')
```
If the... | {
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Removes:
- `tupleize_cols` keyword in `read_html`, `read_csv`, `to_csv`
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- [x] closes #26944
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- [x] closes #7056
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Raise a consistent error, regardless of the writing engine, when saving datetimes with timezones in Excel since they are unsupported. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27130 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27130/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27130/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27130/events | https://github.com/pandas-dev/pandas/pull/27130 | 462,320,310 | MDExOlB1bGxSZXF1ZXN0MjkzMDUwMjA0 | 27,130 | BUG: Fix Series divmod #26987 | {
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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/27131 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27131/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27131/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27131/events | https://github.com/pandas-dev/pandas/pull/27131 | 462,325,350 | MDExOlB1bGxSZXF1ZXN0MjkzMDUzNTIz | 27,131 | DOC: add internal links to "Endpoints are inclusive" section | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27132/events | https://github.com/pandas-dev/pandas/pull/27132 | 462,325,423 | MDExOlB1bGxSZXF1ZXN0MjkzMDUzNTc5 | 27,132 | DOC: tweak paragraph regarding cut and IntervalIndex | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27133/events | https://github.com/pandas-dev/pandas/issues/27133 | 462,328,114 | MDU6SXNzdWU0NjIzMjgxMTQ= | 27,133 | Add Index.__array_ufunc__ | {
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The primary difference is that `ufunc(Index, Series)` should defer to `Series` by returning NotImplemented. This may be as easy as excluding `Series` from `Index._HANDLED_TYPES` and including `Index` in `Series._HANDLED_TYPES`. | {
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```python
In [7]: pd.Timedelta(nanoseconds=1)
Out[7]: Timedelta('0 days 00:00:00.000000')
In [8]: pd.Timestamp("2000-01-01")-pd.Timedelta(nanoseconds=1)
Out[8]: Timestamp('1999-12-31 23:59:59.999999999')
```
@jorisvandenbossche, recall we ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27135 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27135/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27135/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27135/events | https://github.com/pandas-dev/pandas/issues/27135 | 462,341,487 | MDU6SXNzdWU0NjIzNDE0ODc= | 27,135 | read_json different behaviour when file is os path or file url | {
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```bash
pwd
/home/guy/tmp
echo -e '{"a": 1, "b": 2}\n{"a": 3, "b": 4}' > test.json
cat test.json
{"a": 1, "b": 2}
{"a": 3, "b": 4}
```
```python
# Your code here
[ins] In [74]: ospath = '/home/guy/tmp/test.json' ... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-06-30T00:13:47Z | 2019-07-06T22:11:52Z | 2019-07-06T22:11:47Z | CONTRIBUTOR | null | This PR fixes a number of issues involving non-unique non-numeric indexing:
- The `NonNumericSeriesIndexing` benchmark incorrectly assumes `tm.makeStringIndex()` returns a monotonic `Index`. It does not and unfortunately invalidates the existing results here.
- While modifying this, figured should add `PeriodIndex`... | {
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1. Categorical will be handled in a separate PR.
2. benchmark result:
```
before after ratio
[989f912e] [dc0ef701]
<master> <enh-21801-2>
+ 11.4±0.03μs 36.8±0.1μs 3.23 algorithms.EASorting.time_argsort(1000)
+ 785±0.5μs ... | {
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... | open | false | null | [] | null | 3 | 2019-06-30T06:22:59Z | 2021-07-10T05:45:19Z | null | CONTRIBUTOR | null | I propose adding a ``MultiIndex._data`` that is of type ``List[Categorical]``, where all the underlying data of a MultiIndex would be stored. A ``multiIndex.array`` property would also be added, that accesses the ``_data``.
This has the advantage of collecting the data that is underlying MultiIndex into one data str... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27139/events | https://github.com/pandas-dev/pandas/pull/27139 | 462,373,986 | MDExOlB1bGxSZXF1ZXN0MjkzMDgzNDQy | 27,139 | TST/CLN: engine fixture for tests/io/excel/test_readers.py | {
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use of safe_import in pytest.param #26735 (comment) #26784
cc @WillAyd
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https://api.github.com/repos/pandas-dev/pandas/issues/27140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27140/events | https://github.com/pandas-dev/pandas/pull/27140 | 462,404,412 | MDExOlB1bGxSZXF1ZXN0MjkzMTAzNzcy | 27,140 | BUG: Fix empty closed window issue with rolling min and max | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27141 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27141/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27141/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27141/events | https://github.com/pandas-dev/pandas/pull/27141 | 462,410,562 | MDExOlB1bGxSZXF1ZXN0MjkzMTA3OTIy | 27,141 | CLN: Remove cdate_range, raise_on_error keyword, categories and ordered keywords in astype | {
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Removed:
- `cdate_range`
- `raise_on_error` keyword in `.where` and `.mask`
- `ordered` and `categories` keywords in `.astype` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27142/events | https://github.com/pandas-dev/pandas/pull/27142 | 462,411,507 | MDExOlB1bGxSZXF1ZXN0MjkzMTA4NTQ5 | 27,142 | EA: support basic 2D operations | {
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cc @jreback @jorisvandenbossche @TomAugspurger | {
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```
self = <pandas.tests.plotting.test_misc.TestSeriesPlots object at 0x12fc977b8>
@pytest.mark.slow
def test_autocorrelation_plot(self):
from pandas.plotting import autocorrelation_plot... | {
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Also adds 3 regression tests for fixed timezone issues. | {
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Unfortunately, `.dtype.value_counts()` isn't a perfect replacement for `get_value_counts()` (IMO it's better), so the test replacements calls the internal representation:
```
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To illustrate, run mypy on a module with this content
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https://api.github.com/repos/pandas-dev/pandas/issues/27147 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27147/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27147/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27147/events | https://github.com/pandas-dev/pandas/issues/27147 | 462,436,225 | MDU6SXNzdWU0NjI0MzYyMjU= | 27,147 | BUG: IntervalArray.__setitem__ creates copies incorrectly | {
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... | 4 | 2019-06-30T19:09:46Z | 2020-10-11T19:35:31Z | 2020-10-11T19:35:31Z | MEMBER | null | ```
from pandas.core.arrays import IntervalArray
import numpy as np
arr = np.random.randn(10)
a = IntervalArray.from_arrays(arr, arr+1)
b = a[:5]
b[0] = b[1]
assert a[0] == a[1] # <-fails
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https://api.github.com/repos/pandas-dev/pandas/issues/27148 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27148/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27148/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27148/events | https://github.com/pandas-dev/pandas/issues/27148 | 462,440,372 | MDU6SXNzdWU0NjI0NDAzNzI= | 27,148 | Indexing single level with list of missing labels raises if (and only if) it has length 1 | {
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```python
In [2]: mi = pd.MultiIndex.from_tuples([[1, 2, -1], [3,4, -2], [5, 6, -3]])
In [3]: s ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27149 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27149/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27149/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27149/events | https://github.com/pandas-dev/pandas/pull/27149 | 462,440,638 | MDExOlB1bGxSZXF1ZXN0MjkzMTI4MzQy | 27,149 | DOC: remove the force uninstall from contributing guide | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27150 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27150/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27150/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27150/events | https://github.com/pandas-dev/pandas/pull/27150 | 462,442,007 | MDExOlB1bGxSZXF1ZXN0MjkzMTI5MjU4 | 27,150 | DOC: remove okwarning/okexcept for fixed issues | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27151 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27151/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27151/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27151/events | https://github.com/pandas-dev/pandas/pull/27151 | 462,442,865 | MDExOlB1bGxSZXF1ZXN0MjkzMTI5ODg5 | 27,151 | CLN: separate raising from non-raising parts of method | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27152 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27152/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27152/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27152/events | https://github.com/pandas-dev/pandas/issues/27152 | 462,444,680 | MDU6SXNzdWU0NjI0NDQ2ODA= | 27,152 | VIS: register_matplotlib_converters is exposed through plotting backend | {
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It probably doesn't make much sense to expose this through the plotting backend?
It ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27153 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27153/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27153/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27153/events | https://github.com/pandas-dev/pandas/pull/27153 | 462,446,096 | MDExOlB1bGxSZXF1ZXN0MjkzMTMyMDcw | 27,153 | EA: preliminary EA reshape ops | {
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] | closed | false | null | [] | null | 2 | 2019-06-30T20:59:32Z | 2020-04-05T17:36:33Z | 2019-07-02T00:25:16Z | MEMBER | null | Ones that we can put in place before allowing anything 2D. Asks authors to provide a `view` method akin to a shallow copy. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27154 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27154/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27154/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27154/events | https://github.com/pandas-dev/pandas/pull/27154 | 462,446,472 | MDExOlB1bGxSZXF1ZXN0MjkzMTMyMzIw | 27,154 | BUG: fix KeyError with list of a single, missing, element | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/27155 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27155/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27155/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27155/events | https://github.com/pandas-dev/pandas/issues/27155 | 462,453,782 | MDU6SXNzdWU0NjI0NTM3ODI= | 27,155 | float_format in to_latex can be a function | {
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"id": ... | closed | false | null | [] | null | 1 | 2019-06-30T22:32:41Z | 2019-07-01T21:06:51Z | 2019-07-01T21:06:51Z | MEMBER | null | The docs for ``to_latex(float_format=)`` say
```
float_format : str, optional
Format string for floating point numbers.
```
and indeed the code contains a comment confirming this:
https://github.com/pandas-dev/pandas/blob/8b48f5c75a058c239a5d0eb9ee4f1593f1be1810/pandas/io/formats/format.py#L1010
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https://api.github.com/repos/pandas-dev/pandas/issues/27156 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27156/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27156/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27156/events | https://github.com/pandas-dev/pandas/pull/27156 | 462,454,337 | MDExOlB1bGxSZXF1ZXN0MjkzMTM3NzE5 | 27,156 | DOC: mention that float_format can be a function, not just a string | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/27157 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27157/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27157/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27157/events | https://github.com/pandas-dev/pandas/pull/27157 | 462,472,311 | MDExOlB1bGxSZXF1ZXN0MjkzMTUwNDIx | 27,157 | Fix build warnings | {
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- Parsers.pyx and tokenizer. Signed/unsigned hell, made worse by python/cython/c mixing.
- interval.pyx, not touched because large PR in progress in #27100.
- np_datetime.c and np_datetime_strings.c. These are linked into 15+ cython modules as extra object files, but... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27158/events | https://github.com/pandas-dev/pandas/pull/27158 | 462,640,925 | MDExOlB1bGxSZXF1ZXN0MjkzMjgwOTg4 | 27,158 | Remove sudo tag in travis | {
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Check out [this](https://blog.travis-ci.com/2018-11-19-required-linux-infrastructure-migration). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27159/events | https://github.com/pandas-dev/pandas/issues/27159 | 462,676,944 | MDU6SXNzdWU0NjI2NzY5NDQ= | 27,159 | pip install on Python2.7 not working | {
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RuntimeError: Python version >= 3.5 required.
this is because numpy has a release version 1.7 which requires 3.5 or above
[https://github.com/numpy/numpy/blob/maintenance/1.17.x/setup.py](url)
is it okay to add a dependency check in setup.py? i can do that and ... | {
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```python
import pandas as pd
pd.read_msgpack('this/path/does/not/exist')
```
#### Problem description
Such an error is misleading because it suggests that there is a problem with the datatype being passed, not that the path does not exist. The error rai... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27161 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27161/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27161/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27161/events | https://github.com/pandas-dev/pandas/issues/27161 | 462,707,696 | MDU6SXNzdWU0NjI3MDc2OTY= | 27,161 | CI: Install fail for PyYAML | {
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is failing with
```
Downloading and Extracting Packages
psutil-5.6.2 | 318 KB | ######################################################################################################################################### | 100%
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https://api.github.com/repos/pandas-dev/pandas/issues/27162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27162/events | https://github.com/pandas-dev/pandas/pull/27162 | 462,708,567 | MDExOlB1bGxSZXF1ZXN0MjkzMzM1NzMy | 27,162 | io/msgpack: Raise a more informative exception on file not found | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/27165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27165/events | https://github.com/pandas-dev/pandas/issues/27165 | 462,759,880 | MDU6SXNzdWU0NjI3NTk4ODA= | 27,165 | CLN/INT: remove usage of _internal_get_values | {
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... | 6 | 2019-07-01T14:53:06Z | 2021-10-29T02:08:54Z | 2021-10-29T02:08:53Z | MEMBER | null | PR https://github.com/pandas-dev/pandas/pull/26409 introduced a `_internal_get_values` method for DataFrame, Series, Index, SparseArray and Categorical (in order to deprecate the public `get_values`).
There are some remaining cases where `_internal_get_values` is used internally. Eventually, we should try to remove... | {
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"color": "207de5... | closed | false | null | [] | null | 13 | 2019-07-01T15:01:15Z | 2020-01-16T00:35:05Z | 2019-07-26T00:53:00Z | MEMBER | null | - [X] closes #27164
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Getting one failure locally which will check later but pushing to see on other platforms | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27167 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27167/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27167/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27167/events | https://github.com/pandas-dev/pandas/issues/27167 | 462,772,752 | MDU6SXNzdWU0NjI3NzI3NTI= | 27,167 | CLN/INT: avoid getattr(obj, 'values', obj) idiom | {
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```
values = getattr(values, 'values', values)
```
One example:
https://github.com/pandas-dev/pandas/blob/ad2e98c3c59233dd8cd5234cead93010e0bd4b8a/pandas/core/algorithms.py#L123
Personally, I find that this makes the code harder to reason about. What kind of... | {
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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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xref http://docs.cython.org/en/lat... | {
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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-traceback
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.25.0.dev0+865.g3b3b79157'
In [2]: ivs = [pd.Interval(0, 1, closed='left'),
...: pd.Interval(1, 2, closed='right')]
In [3]: pd.Index(ivs)
------------------------------... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Note that this solution uses the same pattern that's used to support a list of mixed frequency `Period` objects:
https://github.com/pandas-dev/pandas/blob/527e714647a16ad31f80e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27174 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27174/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27174/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27174/events | https://github.com/pandas-dev/pandas/issues/27174 | 463,007,060 | MDU6SXNzdWU0NjMwMDcwNjA= | 27,174 | CLN: Collapse private ._take implementation into the public take method | {
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An internal `._take` method was created to process a keyword argument deprecation.
Now that both `._take` and `.take` have the same signature, the code within `._take` can be collapsed into the public `.take` method.
https://github.com/p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27175 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27175/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27175/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27175/events | https://github.com/pandas-dev/pandas/pull/27175 | 463,012,767 | MDExOlB1bGxSZXF1ZXN0MjkzNTc2NjAz | 27,175 | ERR: Raise on duplicates names in read_csv | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/27176 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27176/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27176/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27176/events | https://github.com/pandas-dev/pandas/issues/27176 | 463,014,999 | MDU6SXNzdWU0NjMwMTQ5OTk= | 27,176 | good to have bin size option for pandas value_counts function | {
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Use Case: Most of the times it's hard to determine the number of bins that would fit my data uniformly. Instead if I pass the bin size, based on bin size the function should determine how many bins must be created for the data.
Ex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27177 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27177/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27177/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27177/events | https://github.com/pandas-dev/pandas/issues/27177 | 463,104,902 | MDU6SXNzdWU0NjMxMDQ5MDI= | 27,177 | dataframe to_sql is inserting raw text into oracle database instead of actual text when utf-8 text is present | {
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#### Problem description
When trying to insert data into oracle database through dataframe to_sql it is taking long time so i have made changes type(sqlalchemy types) of object to VARCHAR using below code
```python
dtyp = {c:types.VARCHAR(df[c].str.len().max())
for c in df.columns[df.dtypes == 'object']... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27178 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27178/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27178/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27178/events | https://github.com/pandas-dev/pandas/issues/27178 | 463,170,459 | MDU6SXNzdWU0NjMxNzA0NTk= | 27,178 | DOC: Parameters name and fastpath of Series are not documented | {
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"id": 7171206... | closed | false | null | [] | null | 4 | 2019-07-02T11:18:36Z | 2021-07-10T05:55:55Z | 2021-07-10T05:55:55Z | CONTRIBUTOR | null | #### Problem description
At https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html
the parameters *name* and *fastpath* are not explained.
*Edit*: See #20110 for *fastpath* - at least a short note "deprecated" or "to be deprecated" or "internal only" would help that users don't have to bot... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27179 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27179/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27179/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27179/events | https://github.com/pandas-dev/pandas/issues/27179 | 463,250,144 | MDU6SXNzdWU0NjMyNTAxNDQ= | 27,179 | CI: Format isort output to be detected as Azure pipelines errors | {
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"description": n... | closed | false | null | [] | null | 1 | 2019-07-02T14:06:47Z | 2019-12-06T01:10:29Z | 2019-12-06T01:10:29Z | MEMBER | null | `isort` is a tool to validate the order of the imports in Python code. We are using it in the CI to make sure all pandas imports follow a defined standard. It is implemented in `ci/code_checks.sh`.
When `isort` detects imports incorrectly sorted, it finishes with an exit code different than 0, and that makes the CI ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27180 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27180/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27180/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27180/events | https://github.com/pandas-dev/pandas/issues/27180 | 463,296,302 | MDU6SXNzdWU0NjMyOTYzMDI= | 27,180 | Partial date indexing only works with single key | {
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```python
In [2]: index = pd.date_range('2001-01-01', periods=100)
In [3]: in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27181 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27181/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27181/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27181/events | https://github.com/pandas-dev/pandas/issues/27181 | 463,299,995 | MDU6SXNzdWU0NjMyOTk5OTU= | 27,181 | Code for list of partial indexers should be in MultiIndex.get_indexer | {
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"de... | open | false | null | [] | null | 3 | 2019-07-02T15:37:39Z | 2021-06-10T01:38:02Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
From #27180
```python
In [5]: midx = pd.MultiIndex.from_product([[0, 1], [2, 3]]) ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27182 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27182/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27182/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27182/events | https://github.com/pandas-dev/pandas/issues/27182 | 463,312,442 | MDU6SXNzdWU0NjMzMTI0NDI= | 27,182 | Adding offset to Timestamp discards freq information when freq="M" or "W" | {
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```python
ts = pd.Timestamp("2019-01-01", freq="M")
ts1 = ts + 1 * ts.freq
print(ts1.freq)
```
#### Problem description
There seem to be a problem when a new `pd.Timestamp` is constructed by adding a multiple of the frequency to an initial timestamp: wh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27183 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27183/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27183/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27183/events | https://github.com/pandas-dev/pandas/issues/27183 | 463,315,015 | MDU6SXNzdWU0NjMzMTUwMTU= | 27,183 | DataFrame.describe for all-empty should be object dtype | {
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In [2]: df = pd.DataFrame({"A": [None, None]})
In [3]: df.describe()
Out[3]:
A
count 0.0
unique 0.0
top NaN
freq NaN
```
That way DataFrame[object].describe() is always object dtype. | {
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... | 3 | 2019-07-02T16:26:30Z | 2021-07-10T17:46:27Z | null | CONTRIBUTOR | null | ```python
In [43]: df = pd.DataFrame({"A": pd.to_timedelta([0, 1, None]), "B": pd.array([1, 2, None], dtype='Int32')})
In [44]: df.sum()
Out[44]:
A 00:00:00.000000
B NaT
dtype: timedelta64[ns]
```
cc @jbrockmendel
Not a blocker for the RC, but is a blocker for the release. | {
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```python
In [4]: s = pd.Series([1, 2, 3])
In [5]: o = np.array([0, 1 ,2])
In [6]: np.subtract.outer(s, o)
Out[6]:
array([[ 1, 0, -1],
[ 2, 1, 0],
[ 3, 2, 1]])
```
master
```pytb
In [7]: np.subtract.outer(s, o)
------------------------------------------------------... | {
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This PR fixes that problem by calling ``.copy`` directly and passing kwargs to ``copy``and not passing the call through ``.view``. Also, ... | {
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In [2]: s = pd.Series([1, 2, 3])
In [3]: np.i0(s)
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-3-0fe1635dc55e> in <module>
----> 1 np.i0(s)
<__array_function__ internals> in i0(... | {
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```python
In [14]: s = pd.Series([])
In [15]: s.groupby([])
Out[15]: <pandas.core.groupby.groupby.SeriesGroupBy object at 0x11f4d8748>
```
master
```pytb
In [8]: s = pd.Series([])
In [9]: s.groupby([])
---------------------------------------------------------------------------
ValueEr... | {
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- [ ] closes #27182
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https://api.github.com/repos/pandas-dev/pandas/issues/27193 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27193/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27193/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27193/events | https://github.com/pandas-dev/pandas/pull/27193 | 463,443,487 | MDExOlB1bGxSZXF1ZXN0MjkzOTIyMzM3 | 27,193 | CLN: fix cython build warning | {
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warning: pandas/_libs/tslib.pyx:724:49: Buffer unpacking not optimized away.
warning: pandas/_libs/tslib.pyx:724:49: Buffer unpacking not optimized away.
```
the error is due to a cdef inline function which uses ndarray[object]. The function has one caller, and it isn't in any perf-critical inner-loop, so the... | {
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Whether or not we do a warning is still TBD. | {
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- towards https://github.com/pandas-dev/pandas/issues/26344
As per travis logs:
https://travis-ci.org/pandas-dev/pandas/jobs/552444580
```
ccache: /usr/bin/ccache
source deactivate
DeprecationWarning: 'source deactivate' is deprecated. Use ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27197 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27197/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27197/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27197/events | https://github.com/pandas-dev/pandas/issues/27197 | 463,474,614 | MDU6SXNzdWU0NjM0NzQ2MTQ= | 27,197 | BUG: Dataframe fill_na with series | {
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```python
import pandas as pd
pdf = pd.DataFrame({'a': [1, 2, None], 'b': [None, None, 5]})
fill_value_ser = pd.Series([3,4,5])
filled_df = pdf.fillna(fill_value_ser)
print(filled_df)
print("\n")
filled_ser = pdf['a'].fillna(fill_value_ser)
print(fi... | {
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- [ ] closes #xxxx
- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/27201 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27201/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27201/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27201/events | https://github.com/pandas-dev/pandas/pull/27201 | 463,551,596 | MDExOlB1bGxSZXF1ZXN0Mjk0MDA3NDMy | 27,201 | Misleading error for pd.read_msgpack | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/27202 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27202/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27202/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27202/events | https://github.com/pandas-dev/pandas/issues/27202 | 463,604,082 | MDU6SXNzdWU0NjM2MDQwODI= | 27,202 | Why does pandas dataframe.var() method return unbiased variance by default?? | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2019-07-03T08:02:36Z | 2019-07-13T05:42:06Z | 2019-07-06T14:37:11Z | NONE | null | Why does pandas dataframe.var() method return "unbiased variance" by default?
I think variance implies "sample variance" in general.
Off course, I know this method can return "sample variance" if we provide ddof=0 option.
However, this setting option is very confusing.
Why don't you add new methods sample_var() an... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27203 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27203/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27203/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27203/events | https://github.com/pandas-dev/pandas/issues/27203 | 463,614,722 | MDU6SXNzdWU0NjM2MTQ3MjI= | 27,203 | CLN: Revert internal CategoricalDtype.ordered -> CategoricalDtype._ordered references | {
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This will need to be done as part of the process for changing the default value of `CategoricalDtype.ordered` from `None` to `False`, which should be part of the 1.0 release. Opening this issue to serve as a reminder.
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https://api.github.com/repos/pandas-dev/pandas/issues/27204 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27204/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27204/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27204/events | https://github.com/pandas-dev/pandas/pull/27204 | 463,616,006 | MDExOlB1bGxSZXF1ZXN0Mjk0MDU4NDQ2 | 27,204 | DO NOT MERGE: Debugging test failure in plotting refactoring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27205 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27205/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27205/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27205/events | https://github.com/pandas-dev/pandas/issues/27205 | 463,702,498 | MDU6SXNzdWU0NjM3MDI0OTg= | 27,205 | PERF: asvs are failing | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-07-03T11:38:30Z | 2019-07-03T15:50:35Z | 2019-07-03T15:50:35Z | CONTRIBUTOR | null | This is from a PR recently rebased; I don't think the asv's were run when we merged the ordered deprecation changes
https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=13903
cc @jschendel
```
[ 4.36%] ··· categoricals.Rank.time_rank_string_cat failed
[ 4.36%] ···· Traceba... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27206/events | https://github.com/pandas-dev/pandas/issues/27206 | 463,731,589 | MDU6SXNzdWU0NjM3MzE1ODk= | 27,206 | Older Pandas dep pulling in newest Numpy that is py2 incompat | {
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I have the following dep listed in my py2 project on a LINUX machine:
> pandas==0.17.1
Since Pypi has no linux wheels until pandas v0.18.1 ( https://pypi.org/simple/pandas/ ),
pip install -r <reqs>
Will download and attempt to build pandas from source.
I have numpy 1.16.4 installed, b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27207/events | https://github.com/pandas-dev/pandas/pull/27207 | 463,743,407 | MDExOlB1bGxSZXF1ZXN0Mjk0MTYxMDI1 | 27,207 | BUG: Fixup bench for deprecation | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-07-03T13:08:21Z | 2019-07-03T15:50:35Z | 2019-07-03T15:50:35Z | CONTRIBUTOR | null | Closes #27205
Haven't reproduced the tz one yet. Will see if it shows up here.
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https://api.github.com/repos/pandas-dev/pandas/issues/27208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27208/events | https://github.com/pandas-dev/pandas/issues/27208 | 463,785,170 | MDU6SXNzdWU0NjM3ODUxNzA= | 27,208 | Proper way to slice and modify a dataframe | {
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```python
1.
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})
df
def f(df_par):
df_par.iloc[0, 0] = 8
mask = df.iloc[:, 0] > 1
mask = mask.tolist()
df = df.loc[mask,:]
f(df)
2.
import pandas as pd
df = pd.DataFr... | {
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"color": "AD... | closed | false | null | [] | null | 6 | 2019-07-03T15:13:17Z | 2019-08-28T16:46:30Z | 2019-08-28T16:46:29Z | MEMBER | null | alternative to #27060 for consideration.
implementation is far from complete.
only the following cases have been implemented to start..
```python
>>> import pandas as pd
>>>
... dates=[
... "2001-01-01 23:50",
... "2001-01-02 00:00",
... "2001-01-03 00:08"]
>>>
>>> ser=pd.Series(range(3),pd.DatetimeInd... | {
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```
In [0]: import pandas; pandas.Index(b'\xc7')
Segmentation fault
```
#### Problem description
Calling `pandas.Index` and passing in a bytes object that is not valid UTF8 results in a segfault.
This call pattern is not valid ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27211 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27211/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27211/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27211/events | https://github.com/pandas-dev/pandas/issues/27211 | 463,826,328 | MDU6SXNzdWU0NjM4MjYzMjg= | 27,211 | Question: Guaranteed zero-copy round-trip from numpy? | {
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The question is whether we can rely on having zero-copy wrapping and unwrapping of numpy arrays into pandas dataframes, i.e. is it future proof to assume something like
```python
X = np.array... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27212/events | https://github.com/pandas-dev/pandas/issues/27212 | 463,833,049 | MDU6SXNzdWU0NjM4MzMwNDk= | 27,212 | groupby/apply behaves different if a column is timezone-aware or not | {
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"id": 7... | open | false | null | [] | null | 5 | 2019-07-03T15:57:57Z | 2021-06-11T13:35:05Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
dates = ['2001-01-01'] * 2 + ['2001-01-02'] * 2 + ['2001-01-03'] * 2
index_no_tz = pd.DatetimeIndex(dates)
index_tz = pd.DatetimeIndex(dates, tz='UTC')
df1 = pd.DataFrame({'x': list(range(2))*3, 'y': range(6), 't': index_no_tz... | {
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