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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
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- [ ] tests added / passed
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
#### Code Sample, a copy-pastable example:
```python
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A simple test was added to close this issue.
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- Move a bunch of tests from `integer/test_arithmetic.py` to `masked/test_arithmetic.py` so those can be shared with boolean (and once merged I can add float as well in the FloatingArray PR)
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample
```python
# Your code here
import pandas as pd
df = pd.read_c... | {
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- [x] closes #24444
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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most of the diff is type annotations and collecting the method validation. will break off into pre-cursor PRs | {
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- I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
When using pd.plot.hist(), how to plot different columns in the parallel style(1st pic below), ra... | {
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Revert backport of https://github.com/pandas-dev/pandas/pull/33632
Backport: https://github.com/pandas-dev/pandas/pull/34173
cc @jorisvandenbossche @simonjayhawkins
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- [ ] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/2... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [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/34635 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34635/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34635/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34635/events | https://github.com/pandas-dev/pandas/issues/34635 | 633,971,639 | MDU6SXNzdWU2MzM5NzE2Mzk= | 34,635 | BUG: test_eval.TestMathNumExprPandas.test_result_complex128 failing on OSX | {
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] | closed | false | null | [] | null | 1 | 2020-06-08T01:41:58Z | 2020-08-06T17:55:42Z | 2020-08-06T17:55:42Z | MEMBER | null | intermittently
OSX 10.15.5
python 3.7.6
numpy 1.18.5
numexpr 2.7.1
```
________________________________________________________________________________ TestMathNumExprPandas.test_result_complex128 _________________________________________________________________________________
self = <pandas.tests.computa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34637 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34637/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34637/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34637/events | https://github.com/pandas-dev/pandas/issues/34637 | 634,273,630 | MDU6SXNzdWU2MzQyNzM2MzA= | 34,637 | ENH: specify function to determine NaN when using fillna() | {
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When using `pd.fillna(df)` it does not fill all of the values that `pd.isna(df)` returns as `True`. Furthermore you might have some `NaN` values you want to fill, and some you don't
#### Describe the solution you'd like
include a `nan_function` to be parsed to `... | {
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And it turns out that since `pandas-gbq==0.12.0`, a new argument `max_results` was implemented to limit the number of rows in result dataframe for... | {
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https://github.com/pandas-dev/pandas/blob/24857a2844be9ee6f604d93ea18301f587751f0a/pandas/io... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34641 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34641/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34641/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34641/events | https://github.com/pandas-dev/pandas/pull/34641 | 634,543,059 | MDExOlB1bGxSZXF1ZXN0NDMxMDc4NTcx | 34,641 | ENH: Add max_results kwarg to read_gbq | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-06-08T11:53:34Z | 2020-06-09T22:17:24Z | 2020-06-09T22:17:20Z | CONTRIBUTOR | null | Adds support for the new `max_results` kwarg from pandas-gbq (added in [0.12.0](https://github.com/pydata/pandas-gbq/releases/tag/0.12.0)). Since `max_results` is a new kwarg, it is handled and tested in the same way as the `use_bqstorage_api` kwarg to maintain backwards compatibility.
❓ **Open question:** Setting `... | {
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- [ ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
I had a hard time understanding how [`df.rolling`](https://pandas.pydata.org/pandas... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
df = pd.DataFrame({"x": [pd.Interval(0, 1), ]})
df.to_parquet("test.parquet")
```
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I would like to be able to save the following dataframes:
- list of intervals:
```python
import pandas as pd
df = pd.DataFrame({"x": [[pd.Interval(0, 1), pd.Interval(3, 4)]]})
df.to_parquet("test.parquet")
```
- IntervalArray
```python
import pandas as pd
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x] closes #7002
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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"gi... | [] | closed | false | null | [] | null | 0 | 2020-06-08T16:25:19Z | 2020-06-12T20:18:24Z | 2020-06-12T20:18:24Z | CONTRIBUTOR | null | The monthly dev meeting is Wednesday June 10th, at 18:00 UTC. Our calendar is at https://pandas.pydata.org/docs/development/meeting.html#calendar to check your local time.
Video Call: https://zoom.us/j/942410248
Minutes: https://docs.google.com/document/u/1/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-licoBmBU/edit?ouid=1... | {
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```python
import pandas as pd
df = pd.DataFrame({'a': (1, 2, 2)})
# The problem
df.groupby('a').apply(lambda x: None)
# The problem with a bit more context
df.groupby('a').apply(lambda group_df: 'foo' if len(group_df) > 0 else None)
df.groupby('a').apply(lambda grou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34653 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34653/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34653/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34653/events | https://github.com/pandas-dev/pandas/pull/34653 | 634,832,957 | MDExOlB1bGxSZXF1ZXN0NDMxMzEzNTAx | 34,653 | DOC: updated _testing.py for PR08 errors | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34654 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34654/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34654/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34654/events | https://github.com/pandas-dev/pandas/pull/34654 | 634,883,776 | MDExOlB1bGxSZXF1ZXN0NDMxMzU1NTQx | 34,654 | #34640: CLN: remove 'private_key' and 'verbose' from gbq | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Hello, I am new to contributing to open source, so thank you in advance for any corrections and suggestions. Please let me know if I need to do an... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34655 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34655/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34655/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34655/events | https://github.com/pandas-dev/pandas/issues/34655 | 634,895,809 | MDU6SXNzdWU2MzQ4OTU4MDk= | 34,655 | read_csv cannot use dtype and true_values/false_values | {
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Not sure if this is working as intended, but it appears you cannot use both dtype and true_values or false_values kwargs when reading csv.
```python
from io import StringIO
from csv import writer
import pandas as pd
import pytest
def test_pandas_read_write():
df = pd.DataFrame({'A': [... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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ATM most calls to `DataFrame(foo)` will end up going through either `core.internals.managers.create_manager_from_blocks` or `core.internals.managers.create_block_manager_from_arrays`, both of which call `mgr._consolida... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34660 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34660/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34660/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34660/events | https://github.com/pandas-dev/pandas/issues/34660 | 635,263,194 | MDU6SXNzdWU2MzUyNjMxOTQ= | 34,660 | BUG: ExtensionArray.equals expects ExtensionArray.all to return a numpy.bool_ | {
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- [ ] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Problem description
The current implementation of `ExtensionArray.equals` ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Though there's some similar issues, like https://github.com/pandas-dev/pandas/issues/20377
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
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"color": "53... | open | false | null | [] | null | 4 | 2020-06-09T10:42:16Z | 2021-11-10T09:41:00Z | null | MEMBER | null | This was inspired by #33888 and #34584
#### Problem description
The behavior of `copy` argument in `df.reindex` is confusing. Current docstring does it explain it sufficiently clear. It also seems to me `copy` is unnecessary.
Currently the docstring says
```
...
A new object is produced unless the new index... | {
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... | 4 | 2020-06-09T13:58:50Z | 2021-08-13T10:36:10Z | null | NONE | null | #### Problem description
`DataFrame.to_dict()` method do not cast Nullable Int types (`Int*Dtype`) into Python `int` type. Instead, it unwrapping into `numpy.int*` types.
Possibly related to: #27616, #25969, #21256
#### Expected Output
Native Python `int` type.
#### Reproduction
Make some data:
... | {
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- [x] tests added / passed
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Closed the other PR while I sorted some things out. | {
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Since that is a more practical discussion, moving that to an issue here.
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- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
In [34]: pd.Series(['1',... | {
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Based on the asv mentioned in that thread:
```
In [3]: N = 10**5
In [4]: tz = "UTC" ... | {
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---
#### Code Sample, a copy-pastable example
```python
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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---
#### Code Sample, a copy-pastable example
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`error: command 'gcc' failed with exit status 1`
Anyone else having this issue? | {
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```
before after ratio
[03f5066c] [f2cae354]
<master~3> <cln-consolidate-less-3>
+ 38.4±0.1μs 45.7±6μs 1.19 algorithms.SortIntegerArray.time_argsort(1000)
+ 11.5±0.2ms 13.3±0.4ms 1.16 groupby.Nth.... | {
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... | open | false | null | [] | null | 16 | 2020-06-09T21:20:06Z | 2020-09-21T22:46:54Z | null | NONE | null | - [ x ] I have checked that this issue has not already been reported.
- [ x ] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/0... | {
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... | 4 | 2020-06-10T00:50:27Z | 2021-08-07T22:55:12Z | null | NONE | null | #### Is your feature request related to a problem?
I would like to have the [metadata that pyreadstats provides](https://ofajardo.github.io/pyreadstat_documentation/_build/html/index.html) available when reading files from SPSS.
This would be really helpful because it would provide an easy way to have variable lab... | {
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>>> @simonjayhawkins do you have time one of those days to do a 1.0.5 release?
>> can do. do we want to include anything else, wait a few weeks before doing the release and see if anything else surfaces or just get a patch release done wi... | {
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I am using aggregations over data with groups over time, to create features. I had hoped to use the "new" namedAgg functionality to efficiently calculate and rename the many feature columns.
I find that named Aggregations only works with the "default"groupby.agg, wh... | {
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For BooleanArray, we don't have that, but maybe we should do the same? So that the boolean power of boolean-cast-to-int8 power operations for the same?
Right ... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
# Your code here
from s... | {
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- [X] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I didn't open a new issue for this, let me know if I should, I'll gladly do it (I got the impression that that's not mandatory by reading the contrib... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34691 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34691/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34691/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34691/events | https://github.com/pandas-dev/pandas/issues/34691 | 636,275,212 | MDU6SXNzdWU2MzYyNzUyMTI= | 34,691 | BUG: Unpredictable behaviour of `Series.replace` when filling with `None` values. | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
df = pd.DataFrame({'A': [1, ... | {
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pandas\core\resample.py:1572: error: "DatetimeIndex" has no attribute "tzinfo"
pandas\core\resample.py:1573: error: "DatetimeIndex" has no attribute "tzinfo"
pandas\core\resample.py:1585: error: "PeriodIndex" has no attribute "asfreq";... | {
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... | 8 | 2020-06-10T14:37:09Z | 2020-07-03T07:00:46Z | null | CONTRIBUTOR | null | #### Location of the documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.combine.html
#### Documentation problem
The fourth example states:
> However, if the same element in both dataframes is None, that None is preserved
In the code sample to illustrate this, however, `... | {
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pandas\io\json\_table_schema.py:264: error: Incompatible types in assignment (expression has type "str", target has type "List[Any]")
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Have a method to transform a pandas object to code.
**Example**
The given situation
`given_df = pd.DataFrame({"a": [1, 2],
"b": pd.to_datetime(["2019-01-01", "2019-12-31"]),
"c": ["a", "b"]})`
Call to the method :
`code_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34698 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34698/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34698/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34698/events | https://github.com/pandas-dev/pandas/issues/34698 | 636,336,813 | MDU6SXNzdWU2MzYzMzY4MTM= | 34,698 | QST: should pandas series isin raise an exception with a nested sequence? | {
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- [ x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
Using a nested structure in series isin() does not ra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34699 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34699/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34699/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34699/events | https://github.com/pandas-dev/pandas/pull/34699 | 636,382,134 | MDExOlB1bGxSZXF1ZXN0NDMyNTY0ODA4 | 34,699 | BUG: GH34677 Roll forward asv benchmark environment to py3.8 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34700 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34700/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34700/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34700/events | https://github.com/pandas-dev/pandas/pull/34700 | 636,382,977 | MDExOlB1bGxSZXF1ZXN0NDMyNTY1NTE0 | 34,700 | CLN: remove usages of base_and_stride | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34701 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34701/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34701/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34701/events | https://github.com/pandas-dev/pandas/pull/34701 | 636,400,433 | MDExOlB1bGxSZXF1ZXN0NDMyNTc5Nzk3 | 34,701 | CLN: remove libfrequencies.get_freq_group | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34702 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34702/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34702/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34702/events | https://github.com/pandas-dev/pandas/issues/34702 | 636,415,917 | MDU6SXNzdWU2MzY0MTU5MTc= | 34,702 | BUG: DataFrame.loc[] returns a Series instead of a value | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
df ... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [X] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Dear maintainers,
I'm opening this PR to address issue #34605.
~I've made the test conditional to Python 3.8 as I'm using the positional only... | {
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I couldn't find an easy way to use it in python.
In R the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34707 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34707/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34707/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34707/events | https://github.com/pandas-dev/pandas/pull/34707 | 636,575,150 | MDExOlB1bGxSZXF1ZXN0NDMyNzIzNzMz | 34,707 | PERF: is_date_array_normalized | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34708 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34708/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34708/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34708/events | https://github.com/pandas-dev/pandas/issues/34708 | 636,583,212 | MDU6SXNzdWU2MzY1ODMyMTI= | 34,708 | BUG: DataFrame.unstack on non-consolidated frame | {
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df = pd.DataFrame({"x": [1, 2, np.NaN], "y": [3.0, 4, np.NaN]})
df2 = df[["x"]]
df2["y"] = df["y"]
assert len(df2._mgr.blocks) == 2
>>> df2.unstack()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "pandas/core/frame.py", line 7031, in unstack
return unstack(self, le... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34709 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34709/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34709/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34709/events | https://github.com/pandas-dev/pandas/pull/34709 | 636,634,414 | MDExOlB1bGxSZXF1ZXN0NDMyNzczMDg4 | 34,709 | BUG: DataFrame.unstack with non-consolidated | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [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/34710 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34710/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34710/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34710/events | https://github.com/pandas-dev/pandas/issues/34710 | 636,881,999 | MDU6SXNzdWU2MzY4ODE5OTk= | 34,710 | ENH: Writing a DataFrame to Excel with `XlsxWriter` in constant_memory mode requires row-by-row writes | {
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When writing large DataFrames to an Excel file using `XlsxWriter`, one can use the `options={'constant_memory': True}` keyword arguments.
However, [per the documentation](https://xlsxwriter.readthedocs.io/workbook.html#constructor): **once this mode is active, data... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34711 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34711/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34711/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34711/events | https://github.com/pandas-dev/pandas/pull/34711 | 637,031,928 | MDExOlB1bGxSZXF1ZXN0NDMzMDkyNjM3 | 34,711 | BLD: Pin cython for 37-locale build | {
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xref https://github.com/pandas-dev/pandas/issues/34704 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34712 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34712/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34712/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34712/events | https://github.com/pandas-dev/pandas/pull/34712 | 637,128,227 | MDExOlB1bGxSZXF1ZXN0NDMzMTcyNjA0 | 34,712 | Make Cython in numpydev config Consistent | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34713/events | https://github.com/pandas-dev/pandas/pull/34713 | 637,176,477 | MDExOlB1bGxSZXF1ZXN0NDMzMjExOTg4 | 34,713 | DOC: updated core/indexes/base.py for SS06 errors | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34714 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34714/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34714/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34714/events | https://github.com/pandas-dev/pandas/issues/34714 | 637,209,785 | MDU6SXNzdWU2MzcyMDk3ODU= | 34,714 | REF: BlockManager.apply_allow_failures | {
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All of these do something along the lines of:
```
results = []
exclude = []
for i, block in enumerate(mgr.blocks):
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