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https://api.github.com/repos/pandas-dev/pandas/issues/38219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38219/events | https://github.com/pandas-dev/pandas/pull/38219 | 754,775,262 | MDExOlB1bGxSZXF1ZXN0NTMwNjE0Nzg0 | 38,219 | Update Dockerfile to use conda-forge compilers | {
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and I also have used `mamba` to install the environment as this massively saves time.
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As far as I know, isin needs a level input when only a string is given for a MultiIndex. If this should not change, we have to set level=0 in this c... | {
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This seems to be a problem with scipy version.
@jreback @jbrockmendel @jorisvandenbossche
Last pipeline to work:
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for `np.nan` we define `bool(np.nan)`
```
In [189]: 1 or np.nan
Out[189]: ... | {
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Allows (and encourages) the following use:
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import pandas as pd
filename = "pandas/tests/io/data/csv/iris.csv"
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identify unnecessary dict call - rewrite as a literal
Rewrites as dictionary literals for the following files in two spots:
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Consider this simple example
```
pd.__version__
Out[158]: '1.1.3'
df = pd.DataFrame({'col': [1,2,3],
'group' : ['a',np.NaN,'b']})
df
Out[160]:
col group
0 1 a
1 2 NaN
2 3 b
df.groupby('group').apply(lambda x: x)
Out[161]:
col group
0 ... | {
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"followers_url": "https://api.github.com... | 2 | 2020-12-02T08:45:21Z | 2020-12-02T12:02:39Z | 2020-12-02T10:08:14Z | MEMBER | null | See https://github.com/pandas-dev/pandas/issues/38221 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38229 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38229/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38229/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38229/events | https://github.com/pandas-dev/pandas/issues/38229 | 755,073,430 | MDU6SXNzdWU3NTUwNzM0MzA= | 38,229 | ENH: Apply function on a column easily, maintaining fluent interface | {
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```python
import pandas as pd
import datetime as dt
df = pd.DataFrame([["05SEP2014", "a"]], columns=["date", "other_col"])
def fix_date_a(df):
df['date'] = df["date"].... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38231/events | https://github.com/pandas-dev/pandas/pull/38231 | 755,135,946 | MDExOlB1bGxSZXF1ZXN0NTMwOTA2NDgw | 38,231 | Backport PR #38209 on branch 1.1.x (CI/TST: fix CI with numpy dev for changed error message / dev version) | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This PR adds messages to the bare pytest raises in reduce.py and getitem.py in pandas/test/extension/base. This PR references #30999. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38233/events | https://github.com/pandas-dev/pandas/issues/38233 | 755,319,596 | MDU6SXNzdWU3NTUzMTk1OTY= | 38,233 | BUG: Behaviour of DataFrame.xs when key is not in the index | {
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Currently calling df.xs(key) throws KeyError if key is not in the index. I would advocate for it returning an empty dataframe. | {
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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.
---
**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/38235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38235/events | https://github.com/pandas-dev/pandas/pull/38235 | 755,347,808 | MDExOlB1bGxSZXF1ZXN0NTMxMDc1OTcw | 38,235 | REF: casting in _python_agg_general | {
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Instead of using maybe_cast_result in two places, use it only once, immediately after the function call being wrapped. Replace those two usages with the less-invasive `maybe_downcast_to_dtype` | {
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Handle mypy ignore comments in ``pandas/_testing.py``, function ``write_to_compressed``. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38238/events | https://github.com/pandas-dev/pandas/pull/38238 | 755,378,246 | MDExOlB1bGxSZXF1ZXN0NTMxMDk5NTA0 | 38,238 | TST: revert too-ambitious part of #38223 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38239/events | https://github.com/pandas-dev/pandas/pull/38239 | 755,461,862 | MDExOlB1bGxSZXF1ZXN0NTMxMTY3NjY5 | 38,239 | TYP: handle mypy ignore in SelectionMixin | {
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- [ ] tests added / passed
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Handle mypy ignore comments in ``pandas/core/base.py``, class ``SelectionMixin``.
There were issues with attributes ``obj`` and ``exclusions`` not de... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38240/events | https://github.com/pandas-dev/pandas/issues/38240 | 755,480,736 | MDU6SXNzdWU3NTU0ODA3MzY= | 38,240 | BUG: find_common_type incorrect for Categorical with NaNs | {
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... | open | false | null | [] | null | 1 | 2020-12-02T17:44:13Z | 2021-08-14T17:09:13Z | null | MEMBER | null | ```
import pandas as pd
from pandas.core.dtypes.cast import find_common_type
left = pd.Index([1, 2, 3, 4])
right = pd.CategoricalIndex([1, None], categories=left)
dtype = find_common_type([left.dtype, right.dtype])
>>> right.astype(dtype)
ValueError: Cannot convert float NaN to integer
```
xref #37930;... | {
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- [ ] tests added / passed
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Add tests required to close the issue.
The tests are based on the example in the issue. | {
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- [x] tests added / passed
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Picking up #36628 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38243/events | https://github.com/pandas-dev/pandas/issues/38243 | 755,490,198 | MDU6SXNzdWU3NTU0OTAxOTg= | 38,243 | BUG: Freq argument lost using `pd.infer_freq` | {
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... | closed | false | null | [] | null | 2 | 2020-12-02T17:58:13Z | 2021-08-14T17:10:21Z | 2021-08-14T17:10:21Z | 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
# r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38245 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38245/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38245/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38245/events | https://github.com/pandas-dev/pandas/pull/38245 | 755,524,418 | MDExOlB1bGxSZXF1ZXN0NTMxMjE5NTE1 | 38,245 | BUG: CategoricalDtype.__repr__ with RangeIndex categories | {
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The problem was introduced a couple weeks ago, so shouldn't need a whatsnew. | {
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Picking up #35341 (original PR addressed all comments - here I merged master + added whatsnew note)
cc @simonjayhawkins @jreback @jbrockmendel | {
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Locally this gets me to within 3-4% of 1.1.4 on the asv mentioned in #37462 | {
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- [X] xref #[38138](https://github.com/pandas-dev/pandas/issues/38138)
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Categorical kludge is needed because of #38240. | {
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```
(pandas-dev) andrewwieteska@Andrews-MacBook-Pro pandas % flake8 pandas/core/groupby/groupby.py
pandas/core/groupby/groupby.py:53:1: F401 'pandas.core.dtypes.cast.maybe_cast_result' imported but unused
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38256/events | https://github.com/pandas-dev/pandas/issues/38256 | 755,966,193 | MDU6SXNzdWU3NTU5NjYxOTM= | 38,256 | BUG: pandas to_json with orient "table" returns wrong schema & data string | {
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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
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Marked all excel-related tests as slow.
There are a lot of time for setup and teardown for every test.
Overall, moving these tests to "slow" categor... | {
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Rewrote dict calls to dict literals in the following files
./pandas/tests/io/json/test_ujson.py
./pandas/tests/io/json/test_normalize.py
Also ch... | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.mask.html#pandas-dataframe-mask
#### Documentation problem
The first line of docstring states:
>> Replace values where the condition is True.
However, `where` replaces the values for which the `... | {
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Fix the bug that the subclasses of a dataframe and a series cannot be saved ``to_hdf``.
The tests were added.
When testing I found that ``assert_f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38263/events | https://github.com/pandas-dev/pandas/pull/38263 | 756,311,955 | MDExOlB1bGxSZXF1ZXN0NTMxODc2OTU1 | 38,263 | C408 rewrite dict call to dict literals | {
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Identify unnecessary dict call - rewrite as a literal in `./pandas/tests/io/pytables/test_store.py`, `./pandas/core/arrays/interval.py`
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https://api.github.com/repos/pandas-dev/pandas/issues/38265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38265/events | https://github.com/pandas-dev/pandas/pull/38265 | 756,373,951 | MDExOlB1bGxSZXF1ZXN0NTMxOTI5MTEz | 38,265 | Rewrite dict call to literals | {
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Identify unnecessary dict call - rewrite as a literal in `pandas\core\indexes\numeric.py`
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https://api.github.com/repos/pandas-dev/pandas/issues/38266 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38266/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38266/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38266/events | https://github.com/pandas-dev/pandas/pull/38266 | 756,402,858 | MDExOlB1bGxSZXF1ZXN0NTMxOTUzMDMz | 38,266 | BUG: Inserting array of same size with Series.loc raises ValueError | {
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closes #37486
closes #38271
- [x] tests added / passed
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This code does work as expected (0 value is replaced by `<NA>` in an Int64 series).
```python
>>> import pandas as pd
>>> s = pd.Series([0, 1]).astype("Int64")
>>> s.replace(0, pd.NA)
0 <NA>
1 1
dtype: Int64
```
In contrast, when having `<NA>` values in the series `.replace()` doe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38269/events | https://github.com/pandas-dev/pandas/issues/38269 | 756,441,897 | MDU6SXNzdWU3NTY0NDE4OTc= | 38,269 | BUG: _metadata does not persist through groupby | {
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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] I have confirmed this bug exists on the latest version of pandas.
#### Code Sample, a copy-pastable example
```python
"""Missing SettingwithCopyWarning."""
import pandas as pd
df = pd.DataFrame(
[["Alice", 10]],
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``` python
In [11]: import numpy as np
...: import pandas as pd
...:
...: ser = pd.Series(1, index=list("abcde"), dtype="object")
...:
...: expected = pd.array([0,0,3,0,0])
...: ser.loc["a"] = expected
...: result = ser[0]
In [12]: ser
Out[12]:
a 0
b 0
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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Removed the dict calls for the files:
`./pandas/core/arrays/floating.py`
`./pandas/core/arrays/numpy_.py`
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Saw this on the tracker. I think we should validate this, some inputs could lead to weird results.
The last drop duplicates entry in whatsnew was a... | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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Using the new hashtables!
```
In [3]: arr = np.arange(10**7).astype(np.int32)
In [4]: %timeit isin(arr, arr[:10])
88.8 ms ± 497 µs per loop (... | {
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File modified: pandas/core/strings/accesory.py
Changed unnecessary dict calls for flake8 (C408) standard:
- Rewrite dict() as {}
- [ ] closes #xxxx
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.str.endswith.html
https://pandas.pydata.org/docs/reference/api/pandas.Series.str.startswith.html
#### Documentation problem
Right now there is no indication that these methods accept a tuple for testin... | {
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Ever so slowly ironing out the wrinkles between the setops. | {
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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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e.g. https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.sort_values.html, https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sort_index.html
#### Documentation problem
List of values for `kind` should be updated to reflect change... | {
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[this should provide a description of what the problem is, e.g. "I wish I could use pandas to do [...]"]
#### Describe the solution you'd like
[this should provide a description of the feature request, e.g. "`DataFrame.foo` should get a new parameter `bar` tha... | {
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Only in `tests/arrays/integer/tst_construction.py` I still left the usage of `integer_arr... | {
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cc @jorisvandenbossche | {
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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 io
import pandas a... | {
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- [X] closes #34548
- [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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```python
import pandas as pd
from pandas.api.types import CategoricalDtype
df = pd.DataFrame(data={'col': ['small', 'medium', 'large']})
ordered = CategoricalDtype(categories=['small', 'medium', 'large'], ordered=True)
df.col = df.col.astype(ordered)
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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.
I may have a dataframe with 100 columns, of which I want to transform 3.
`DataFrame.tran... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38297/events | https://github.com/pandas-dev/pandas/issues/38297 | 757,381,553 | MDU6SXNzdWU3NTczODE1NTM= | 38,297 | DOC: Pandas Pg 47 label/61 doc merge() link redirects to first page | {
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Page 47
[this should provide the location of the documentation, e.g. "pandas.read_csv" or the URL of the documentation, e.g. "https://dev.pandas.io/docs/reference/api/pandas.read_csv.html"]
**Note**: You can check the latest versions of the docs on `master` [here](https://pan... | {
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File modified: pandas/core/strings/accesory.py
Changed unnecessary dict calls for flake8 (C408) standard:
Rewrite dict() as {}
- [ ] closes #xxxx
- [x] tests added / passed
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"color": "... | closed | false | null | [] | null | 1 | 2020-12-04T22:51:30Z | 2020-12-09T16:20:30Z | 2020-12-09T16:20:30Z | NONE | null | #### Is your feature request related to a problem?
The pandas DataFrame uses both arguments of `inplace` and `copy` (`DataFrame.astype` and `Series.astype`) in different methods to indicate change in place. It would be great if it can be unified to use `inplace` in all methods.
#### Describe the solution you'd li... | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Just removing the duplicated 'i' in "resultiing" of the futurewarning in melt about using `value_name` with the same name as a column the in the original dataframe. Filing an issue or a what... | {
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- [x] passes `black pandas`
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Names were wrong when MultiIndexes where equal and unique with different names. Additional cleanups
cc @jbrockmendel | {
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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
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.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
dat... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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[`pandas.Timedelta.isoformat`](https://pandas.pydata.org/docs/reference/api/pandas.Timedelta.isoformat.html#pandas.Timedelta.isoformat)
#### Documentation problem
The output on an example in the docs has the wrong output(`Timedelta.isoformat` works fine)
![Screenshot from ... | {
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... | 1 | 2020-12-05T05:22:16Z | 2021-08-14T21:57:35Z | null | MEMBER | null | #38175 added correct handling of nanoseconds in the Period constructor but the code path as is parses the input twice. We should integrate the nanoseconds code into `parse_time_string` so this happens only once.
xref https://github.com/pandas-dev/pandas/pull/38175/files#r536100941
It might be worth adding a nanos... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38314/events | https://github.com/pandas-dev/pandas/issues/38314 | 757,650,648 | MDU6SXNzdWU3NTc2NTA2NDg= | 38,314 | BUG: Sliced subclassed Series returns full data result when custom method is applied | {
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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
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https://api.github.com/repos/pandas-dev/pandas/issues/38315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38315/events | https://github.com/pandas-dev/pandas/pull/38315 | 757,677,910 | MDExOlB1bGxSZXF1ZXN0NTMzMDE1Mjky | 38,315 | API: add EA._from_scalars / stricter casting of result values back to EA dtype | {
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"description": "E... | open | false | null | [] | null | 19 | 2020-12-05T13:09:44Z | 2021-05-24T17:59:00Z | null | MEMBER | null | Closes #33254
Closes #31108
This adds a ``ExtensionArray._from_scalars`` function which is more strict than the existing `_from_sequence` constructor: in theory, it should only accept a sequence of scalars of its own type (i.e. the type you get with `arr[0]`, plus NAs), or arrays with the appropriate dtype.
Thi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38316/events | https://github.com/pandas-dev/pandas/issues/38316 | 757,700,543 | MDU6SXNzdWU3NTc3MDA1NDM= | 38,316 | BUG: IntervalIndex.astype("category") doesn't preserve exact interval dtype in categories | {
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... | 1 | 2020-12-05T15:10:20Z | 2021-08-14T21:58:29Z | null | MEMBER | null | Somewhere in the conversion, before factorizing, we convert the interval array/index to a object-dtype numpy array of Interval objects, and so afterwards *infer* the IntervalDtype again when creating the categories.
Example consequence is that if you have uint64 intervals, they get inferred as int64 afterwards:
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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
Deprecates both specifying `engine="xlwt"` and the option `io.excel.xls.writer`. Note that a warning is emitted when a user sets the `io.excel.xls.w... | {
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