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https://api.github.com/repos/pandas-dev/pandas/issues/43322 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43322/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43322/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43322/events | https://github.com/pandas-dev/pandas/pull/43322 | 983,704,030 | MDExOlB1bGxSZXF1ZXN0NzIzMjM4OTAz | 43,322 | Datetime series slicing - error without loc() | {
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Date time series on slicing might produce errors for different reasons(change in data format for each, unsorted DateTime inputs etc.) which can be avoided with "loc() on the DateTime".
The error was like *** Slicing with this method is *always* positional.***
After correcting the Issue : (Screenshots)
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The **int** datatype of the column was raising this issue.
- [x] closes #xxxx
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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.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
This came out of https://github.com/pandas-dev/pandas/pull/43213#discussion_r69941... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43331/events | https://github.com/pandas-dev/pandas/pull/43331 | 984,074,995 | MDExOlB1bGxSZXF1ZXN0NzIzNTU0MDU1 | 43,331 | CLN: remove typing ignores | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43332/events | https://github.com/pandas-dev/pandas/pull/43332 | 984,147,091 | MDExOlB1bGxSZXF1ZXN0NzIzNjE0OTg0 | 43,332 | PERF: merge | {
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"description": "Memory or execution speed performance",
"id": 8935311,
"name": "Performance",
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},
{
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"default"... | closed | false | null | [] | {
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from asv_bench.benchmarks.join_merge import *
self6 = Merge()
self6.setup(False)
%timeit self6.time_merge_dataframes_cross(False)
535 ms ± 4.25 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) # <- master
242 ms ± 5.98 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) # <- PR
self6.setup(Tru... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43333/events | https://github.com/pandas-dev/pandas/pull/43333 | 984,181,979 | MDExOlB1bGxSZXF1ZXN0NzIzNjQ0NTY4 | 43,333 | PERF: read_sas | {
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"description": "Memory or execution speed performance",
"id": 8935311,
"name": "Performance",
"node_id": "MDU6TGFiZWw4OTM1MzEx",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Performance"
},
{
"color": "5319e7",
"default"... | closed | false | null | [] | {
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from asv_bench.benchmarks.io.sas import *
self8 = SAS()
self8.setup("sas7bdat")
%timeit self8.time_read_sas("sas7bdat")
41.6 ms ± 1.77 ms per loop (mean ± std. dev. of 7 runs, 10 loops each) # <- master
22.7 ms ± 1.04 ms per loop (mean ± std. dev. of 7 runs, 10 loops each) # <- PR
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https://api.github.com/repos/pandas-dev/pandas/issues/43334 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43334/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43334/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43334/events | https://github.com/pandas-dev/pandas/issues/43334 | 984,289,599 | MDU6SXNzdWU5ODQyODk1OTk= | 43,334 | BUG: pd.Categorical turns all values into NaN | {
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"followers_url": "https://api.github.com... | 5 | 2021-08-31T20:28:43Z | 2021-09-17T16:32:02Z | 2021-09-17T16:32:02Z | 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.
---
#### Code Sample
```python
import pandas as pd
data = pd.read_excel('titanic.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43335 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43335/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43335/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43335/events | https://github.com/pandas-dev/pandas/pull/43335 | 984,329,490 | MDExOlB1bGxSZXF1ZXN0NzIzNzc2MTEx | 43,335 | PERF: unstack | {
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"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Performance"
},
{
"color": "02d7e1",
"default"... | closed | false | null | [] | {
"closed_at": null,
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"created_at": "2021-06-09T18:28:42Z",
"creator": {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 0 | 2021-08-31T21:16:46Z | 2021-09-02T23:23:39Z | 2021-09-02T23:18:54Z | MEMBER | null | ```
from asv_bench.benchmarks.reshape import *
self = ReshapeExtensionDtype()
self.setup("Period[s]")
%timeit self.time_unstack_fast('Period[s]')
9.23 ms ± 357 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) # <- master
5.19 ms ± 106 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) # <- PR
`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43336 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43336/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43336/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43336/events | https://github.com/pandas-dev/pandas/issues/43336 | 984,338,826 | MDU6SXNzdWU5ODQzMzg4MjY= | 43,336 | BUG: Change in index of empty dataframes in `mode` operation | {
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"description": "Non-arithmetic algos: va... | closed | false | null | [] | null | 3 | 2021-08-31T21:28:39Z | 2021-09-01T15:20:00Z | 2021-09-01T15:19:59Z | 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/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43337 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43337/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43337/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43337/events | https://github.com/pandas-dev/pandas/issues/43337 | 984,357,390 | MDU6SXNzdWU5ODQzNTczOTA= | 43,337 | BUG: transpose unnecessarily returning object | {
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... | 1 | 2021-08-31T21:54:55Z | 2021-09-01T13:41:08Z | null | MEMBER | null | Ref: https://github.com/pandas-dev/pandas/pull/43213/files#r699680952
Example:
```
df = pd.DataFrame({'a': [1], 'b': [2]})
print(df.T.dtypes)
df['b'] = df['b'].astype('Int64')
print(df.T.dtypes)
```
gives int64 for the first example, and object for the 2nd. However, the 2nd arguably would be better off as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43338 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43338/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43338/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43338/events | https://github.com/pandas-dev/pandas/pull/43338 | 984,412,924 | MDExOlB1bGxSZXF1ZXN0NzIzODUwMTU0 | 43,338 | ENH: Rolling rank | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 13 | 2021-08-31T23:10:54Z | 2021-09-14T13:08:26Z | 2021-09-14T13:07:58Z | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/issues/9481
- [x] closes #9481
- [x] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/43339 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43339/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43339/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43339/events | https://github.com/pandas-dev/pandas/issues/43339 | 984,599,626 | MDU6SXNzdWU5ODQ1OTk2MjY= | 43,339 | BUG: skiplist memory leak in rolling functions | {
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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] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [x] whatsnew entry
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the input types were not working using the instance factory approach so this is explicit.
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df = pd.DataFrame([[1000.0]])
styler = Styler(df, precision=0)
styler
0
0 1000.000000
```
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no whats new needed since this was a recent change for 1.4.0 | {
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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/... | {
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#### Code Sample, a copy-pastable example
```python
import pandas as pd
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Im ambiguous about this feature but for better compatability when refactoring `DataFrame.to_html` and `DataFrame.to_latex` to use `Styler` it is needed.
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/home/runner/work/pandas/pandas/doc/source/conf.py:524: RemovedInSphinx50Warning: rpartition() is now deprecated.
modname, accessor = rpartition(mod_cls, ".")
```
eg. https://github.com/pandas-dev/pandas/pull/43145/checks?check_run_id=3479105382
Deprecated in 5.0 https://www.sphinx-doc.org/en/master/extd... | {
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"followers_url": "https://api.github.com... | 6 | 2021-09-01T20:16:04Z | 2021-09-02T09:57:47Z | 2021-09-01T20:18:55Z | CONTRIBUTOR | null | https://github.com/pandas-dev/pandas/pull/43145 had failing code checks
https://github.com/pandas-dev/pandas/pull/43347/checks?check_run_id=3488498926
```
/home/runner/work/pandas/pandas/doc/source/whatsnew/v1.3.3.rst:36: WARNING: Bullet list ends without a blank line; unexpected unindent.
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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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https://api.github.com/repos/pandas-dev/pandas/issues/43352 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43352/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43352/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43352/events | https://github.com/pandas-dev/pandas/pull/43352 | 985,691,862 | MDExOlB1bGxSZXF1ZXN0NzI0OTYyNzc4 | 43,352 | PERF: unstack 2 the unstackening | {
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from asv_bench.benchmarks.reshape import *
self2 = Unstack()
self2.setup("category")
%timeit self2.time_full_product("category")
31.3 ms ± 2.23 ms per loop (mean ± std. dev. of 7 runs, 10 loops each) # <- master
20.1 ms ± 304 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) # < PR
```
Orthogon... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43353 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43353/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43353/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43353/events | https://github.com/pandas-dev/pandas/pull/43353 | 985,729,899 | MDExOlB1bGxSZXF1ZXN0NzI0OTk4MTQ3 | 43,353 | PERF: rebuild_blknos_and_blklocs | {
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```
from asv_bench.benchmarks.groupby import *
self = Apply()
self.setup(4)
%timeit self.time_copy_overhead_single_col(4)
227 ms ± 10.9 ms per loop (mean ± std. dev. of 7 runs... | {
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from asv_bench.benchmarks.groupby import *
self = Apply()
self.setup(4)
%timeit self.time_copy_overhead_single_col(4)
213 ms ± 10.9 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) # <- master
161 ms ± 2.84 ms per loop (mean ± std. dev. of 7 runs, 10 loops each) # <- PR
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https://api.github.com/repos/pandas-dev/pandas/issues/43355 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43355/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43355/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43355/events | https://github.com/pandas-dev/pandas/issues/43355 | 986,024,861 | MDU6SXNzdWU5ODYwMjQ4NjE= | 43,355 | BUG: Groupby rolling count gives inconsistent outputs with missing index | {
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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
# [1] In:
import pandas a... | {
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- [X] I have confirmed this bug exists on the latest version of pandas. The bug is present on 1.3.0, 1.3.1 and 1.3.2 but not 1.2.5.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read... | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
Provided test for `groupby` when callling `first`, `last`, `nth` on a `Series` with `None` or `np.nan`.
Tests... | {
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- [X] I have checked that the issue still exists on the latest versions of the docs on `master` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
https://pandas.pydata.org/docs/dev/reference/api/pandas.ExcelWriter.html#pandas.ExcelWriter
### Documentation problem
Unless, I'm missi... | {
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Replaced Sphinx's `rpartition` which was deprecated with Python's in-built method
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- [X] I have checked that the issue still exists on the latest versions of the docs on `master` [here](https://pandas.pydata.org/docs/dev/)
### Location of the documentation
https://pandas.pydata.org/docs/getting_started/comparison/comparison_with_spreadsheets.html
### Documentation problem
In [38]: firstlas... | {
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I come from writing parquet with dask (https://docs.dask.org/en/latest/generated/dask.dataframe.to_parquet.html).
In `dask.dataframe.to_parquet` schema can be a Schema object, dict, "infer" or None.
I'm used to passing a dict with pyarrow schema definition e.g. `{... | {
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https://github.com/pandas-dev/pandas/blob/9d77a5641a912833fc6459ad67ecd8900f9f9e95/pandas/core/arrays/string_arrow.py#L196-L205
From what I understand, it seems like we want to use the option as a ... | {
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"gi... | null | 5 | 2021-09-02T17:31:53Z | 2021-09-03T15:21:30Z | 2021-09-03T14:51:31Z | MEMBER | null | most of the packages' new release don't affect pandas code - can we change the cron schedule to be monthly instead of weekly?
https://github.com/pandas-dev/pandas/blob/58059c152ccf8a714eb3233f13ed22987eb42b44/.github/workflows/autoupdate-pre-commit-config.yml#L5
Feel free to open a pull request if you know how t... | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/43366 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43366/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43366/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43366/events | https://github.com/pandas-dev/pandas/pull/43366 | 987,138,716 | MDExOlB1bGxSZXF1ZXN0NzI2MjY1MDI1 | 43,366 | MAINT: rename IOError -> OSError | {
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This PR cha... | {
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[this should provide a description of what the problem is, e.g. "I wish I could use pandas to do [...]"]
I wish pandas could return formatted bytes when calling memory_usage so I can easily understand how much memory a column takes up
#### Describe the solution ... | {
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(Personally not a fan of this type of explicit validation)
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I think its a nice feature though, although opinions on the argument input choice are welcome. Maybe `"none"` is better than `"naive"`.
When implementing this for multicol there will be the option for left or right alignment, so the likes of `"naiv... | {
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```
import pandas as pd
mi = pd.MultiIndex.from_product([range(100), range(100), range(100)])
%timeit mi.get_indexer(mi[:-1])
698 ms ± 18.7 ms per loop (mean ± std. dev. of 7 runs... | {
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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
# Your code here
>>> impo... | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
Some spaghetti that I noticed and was annoying. | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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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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- [ ] doc/source/getting_started/comparison/includes/nth_word.rst file updated with correction in example
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- [x] closes #44364
- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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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.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
Simple series with floats, dtype floa... | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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pandas/core/indexes/range.py:179: error: Return type "Type[Int64Index]" of "_constructor" incompatible with return type "Type[RangeIndex]" in supertype "Index" [override]
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Is this code intended to be reached only by certain sub-classes of `IndexEngine` that have `get_indexer_with_fill`?
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https://api.github.com/repos/pandas-dev/pandas/issues/43390 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43390/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43390/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43390/events | https://github.com/pandas-dev/pandas/issues/43390 | 988,119,894 | MDU6SXNzdWU5ODgxMTk4OTQ= | 43,390 | TYP: NumericIndex._can_hold_na | {
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... | 3 | 2021-09-03T21:53:24Z | 2021-11-04T02:19:49Z | 2021-11-04T02:19:48Z | CONTRIBUTOR | null | `Index._can_hold_na`: bool
`NumericIndex._can_hold_na`: property-like (cache_readonly)
bool is not a property-like object.
pandas/core/indexes/numeric.py:103: error: Signature of "_can_hold_na" incompatible with supertype "Index" [override] | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43391 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43391/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43391/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43391/events | https://github.com/pandas-dev/pandas/issues/43391 | 988,127,279 | MDU6SXNzdWU5ODgxMjcyNzk= | 43,391 | TYP: ensure_platform_int probably needs a dtype annotation | {
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pandas/core/groupby/ops.py:858: error: Argument 1 to "take" of "ExtensionArray" has incompatible type "ndarray[Any, Any]"; ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43392 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43392/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43392/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43392/events | https://github.com/pandas-dev/pandas/pull/43392 | 988,146,553 | MDExOlB1bGxSZXF1ZXN0NzI3MTI3MDAw | 43,392 | BUG: dtype lost in DataFrame.append | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
1) For BlockManager, this improves dtype-retention, see test_append_same_columns_type
2) F... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43393 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43393/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43393/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43393/events | https://github.com/pandas-dev/pandas/issues/43393 | 988,152,930 | MDU6SXNzdWU5ODgxNTI5MzA= | 43,393 | TYP: Distinguish use of numpy.dtype and ExtensionDtype | {
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... | 1 | 2021-09-03T23:24:59Z | 2021-09-05T17:48:48Z | 2021-09-05T17:48:47Z | CONTRIBUTOR | null | `Index` inherits from `IndexOpsMixin` which defines `self.dtype` as a property of `Union[np.dtype, "ExtensionDtype"]`. There are a few places where either `numpy.dtype` or `ExtensionDtype` are expected, but not both:
pandas/core/indexes/base.py:6857: error: Item "dtype[Any]" of "Union[dtype[Any], ExtensionDtype]" ha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43394 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43394/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43394/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43394/events | https://github.com/pandas-dev/pandas/issues/43394 | 988,191,383 | MDU6SXNzdWU5ODgxOTEzODM= | 43,394 | pd.date_range function not returns right bound when start=end and closed set to 'right' | {
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```python
pd.date_range(start='2021-09-02', end='2021-09-02', freq='D', closed=None)
pd.date_range(start='2021-09-02', end='2021-09-02', freq='D', closed='right')
```
#### Problem description
the first line returns 2021-09-02
but the second line returns empty( this is incorrect )
#### Expected Output
I ... | {
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... | open | false | null | [] | null | 0 | 2021-09-04T02:36:41Z | 2021-09-04T11:21:33Z | 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.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
impor... | {
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When:
- `siunitx=True` columns headers are now rendered like `{} & {A} & {B} \\`
- `siunitx=False` (default) then they are now rendered like ` & A & B \\`
Rndering column headers with or without curly braces has n... | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/43400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43400/events | https://github.com/pandas-dev/pandas/pull/43400 | 988,314,862 | MDExOlB1bGxSZXF1ZXN0NzI3MjU3MDkx | 43,400 | TYP: type some un-typed decorators | {
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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https://api.github.com/repos/pandas-dev/pandas/issues/43401 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43401/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43401/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43401/events | https://github.com/pandas-dev/pandas/issues/43401 | 988,323,341 | MDU6SXNzdWU5ODgzMjMzNDE= | 43,401 | BUG: Cythonized kendall correlation implementation is incorrect | {
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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.
---
#### Problem description
The Cythonized implementation of Kendall correlation... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43402 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43402/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43402/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43402/events | https://github.com/pandas-dev/pandas/issues/43402 | 988,337,365 | MDU6SXNzdWU5ODgzMzczNjU= | 43,402 | BUG: to_clipboard raises an error with null values in data frame | {
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... | 12 | 2021-09-04T17:38:31Z | 2021-09-17T22:39:45Z | null | NONE | null | With the latest version of pandas installed on windows, running the following code will raise an error:
```
df = pd.DataFrame(['\x00'])
df.to_clipboard(index=False, excel=False)
```
Here is the traceback:
<details>
ArgumentError Traceback (most recent call last)
<ipython-in... | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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This actually reverts #42839, but only because there is now an explicit method to hide index names.
Also linking this to an old master tracker #24546.
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... | 2 | 2021-09-04T20:17:08Z | 2021-09-05T17:54:12Z | null | MEMBER | 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.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
xref https://github.com/pandas-dev/pandas/issues/43355
```
In [1]: df = pd.DataFram... | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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The method `resample._GroupByMixin._gotitem` calls
```
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Replaces the current bug report form with the new GitHub Issue Forms Additionally, adds performance issue and installation issue form that I've seen common in our tracker but currently does not have a good way to report.
Forms can be tested here: https://github.com/mroeschke/issue-form-test/issu... | {
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... | open | false | null | [] | null | 1 | 2021-09-05T06:57:40Z | 2021-09-08T12:13:22Z | null | NONE | null | - [ ] I have checked that this issue has not already been reported.
- [ ] 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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I am trying to specify different dtypes for different columns of my dataframe at initialization by passing a dictionary of dtypes to the dtype parameter of **pandas.read_csv()**, however it is throwing a **value error** (code and traceback included below).
#### Code example
```python
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... | closed | false | null | [] | null | 1 | 2021-09-05T07:17:25Z | 2021-09-18T20:23:52Z | 2021-09-18T20:23:52Z | CONTRIBUTOR | null | #### Checklist
- [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.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample
```python
series = pd.Series(data=['1/1/2021 11:0... | {
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TL;DR: Serializes DataFrames in and out of Redis. I've used a version of this code in production previously to share a cached DF across multiple worker processes.
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/43418 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43418/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43418/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43418/events | https://github.com/pandas-dev/pandas/pull/43418 | 988,531,523 | MDExOlB1bGxSZXF1ZXN0NzI3NDE4NDA3 | 43,418 | TYP: ExtensionArray.take accept np.ndarray | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/43419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43419/events | https://github.com/pandas-dev/pandas/issues/43419 | 988,533,459 | MDU6SXNzdWU5ODg1MzM0NTk= | 43,419 | BUG: COO matrices are copied and converted | {
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... | 5 | 2021-09-05T15:17:34Z | 2021-09-13T15:50:08Z | 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.
---
#### Code Sample, a copy-pastable example
Doesn't apply.
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https://api.github.com/repos/pandas-dev/pandas/issues/43420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43420/events | https://github.com/pandas-dev/pandas/pull/43420 | 988,567,517 | MDExOlB1bGxSZXF1ZXN0NzI3NDQ1NzI3 | 43,420 | TST/CLN: ArrayManager tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43421 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43421/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43421/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43421/events | https://github.com/pandas-dev/pandas/pull/43421 | 988,568,606 | MDExOlB1bGxSZXF1ZXN0NzI3NDQ2NTE2 | 43,421 | REF: MultiIndex._engine followup to #43370 | {
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