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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/... | {
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... | open | false | null | [] | null | 28 | 2021-03-09T13:13:53Z | 2021-06-07T03:50:34Z | null | CONTRIBUTOR | null | #### Is your feature request related to a problem?
When using a "fluent"/"method chaining" style of programming with pandas, a common hiccup is the lack of a method for selecting columns from a `DataFrameGroupBy` object. For example, take this DataFrame
```python
import pandas as pd
df = pd.DataFrame(dict(
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Extracting part of the test changes of https://github.com/pandas-dev/pandas/pull/39578. This PR is doing `pandas/tests/frame/indexing`. The `pandas/tests/indexing` tests are handled in https://github.com/pandas-dev/pandas/pull/40323.
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Extracting part of the test changes of https://github.com/pandas-dev/pandas/pull/39578. To keep the size a bit more limited, I am splitting the PRs, so this PR is doing `pandas/tests/indexing`. The `pandas/tests/frame/indexing` are handled in https://github.com/pandas-dev/pandas/pull/40323
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Getting the tests passing for the indexing tests, her for `pandas/tests/series/indexing` (`pandas/tests/indexing` is done in https://github.com/pandas-dev/pandas/pull/40325 and `pandas/tests/frame/indexing` is done in https://github.com/pandas-dev/pandas/pull/40323) | {
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https://pandas.pydata.org/docs/user_guide/window.html#exponentially-weighted-window
#### Documentation problem
Currently, it reads

However, I don't understand... | {
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It has signature `(target, method=None, level=None, limit=None, tolerance=None)` and only documents the behaviour of `target`
Is a good candidate to revisit.
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https://api.github.com/repos/pandas-dev/pandas/issues/40329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40329/events | https://github.com/pandas-dev/pandas/pull/40329 | 826,188,327 | MDExOlB1bGxSZXF1ZXN0NTg4MjA5NDAw | 40,329 | Bug Ensure cache_readonly is only applied on instance | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40332/events | https://github.com/pandas-dev/pandas/pull/40332 | 826,497,978 | MDExOlB1bGxSZXF1ZXN0NTg4NDk2NjI1 | 40,332 | STYLE: Extending codespell to pandas/tests Part 2 | {
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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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- [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.
---
(this was also posted to Stack Overflow, where I was told this seems like a bug ht... | {
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#39396 solved a bug that CSS was duplicated everytime a Styler rendered. The solution maintained the computed `ctx` object and cleared the `_todo` list of methods so it wasn't recalculated. This broke the `export` and `use` methods since they rely on passing methods from the `_todo` list.
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Please shift over example column names to properly align with dataframe (currently aligned starting with index). Example is confusing.
Same issue applies to L1912. | {
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when copying a table from Jupyter to Excel the column header row is translated to the left because there is no value to copy.

this PR puts a non-brea... | {
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... | open | false | null | [] | null | 2 | 2021-03-10T19:49:16Z | 2021-08-19T01:56:24Z | 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
df ... | {
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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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- [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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We fixed this for DTI/TDI/PI in #39068. Also did CategoricalIndex recently, not sure where... | {
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```python
# Your code here
import hvplot.pandas
```
#### Problem description
When I try the import, I get the following when running from a Jupyter Notebook on Chrome or Edge:
```Javascript error adding output!
Error: Cannot find module '@bokehjs/styles/buttons'
... | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Index.all.html
#### Documentation problem
This documentation is about 'pandas.Index.all' but it has examples of 'pandas.Index.any'.
The examples of 'pandas.Index.any' are also included in [its own page](https:... | {
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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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After this the keyword is no longer needed in get_slice_bound, slice_locs, slice_indexer, but those are technically public so didnt rip them out. | {
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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.
---
@jreback
This is an issue I came across while working on https://github.com/pan... | {
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small commit here to group setup variables by type and function, and add some comments.
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import numpy as np
import pandas as pd
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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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- [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/min... | {
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... | 4 | 2021-03-11T14:38:03Z | 2021-03-19T17:53:57Z | null | NONE | null | #### Is your feature request related to a problem?
With a `group.apply` the applied function acts on all columns available to provide a result. With `rolling.apply` it applies the function to each column individually - it would be great if you could apply it to all the columns as well.
e.g. the following is possi... | {
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https://pandas.pydata.org/docs/dev/reference/api/pandas.DataFrame.query.html
#### Documentation problem

#### Suggested fix for documentation
Backticks should ... | {
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`pd.pivot_table` reshapes a table and aggregates values using a `aggfunc` (default `mean`) when rows has the same `index`+`columns` values. However, it is also common to use this function to purely reshape the table without aggregation - based on the assumption that... | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.window.rolling.Rolling.apply.html
#### Documentation problem
For `engine` we have `None : Defaults to 'cython' or globally setting compute.use_numba`
#### Suggested fix for documentation
I'm very con... | {
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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
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The first commit is the change in the alias.
Although this does get rid of many of the false positives, as well as removing ignores this also results is some changes in the mypy error codes and some new errors where we might need a typevar (or more likely an overload)
The subsequent commi... | {
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"de... | open | false | null | [] | null | 8 | 2021-03-11T18:33:13Z | 2021-11-09T04:29:29Z | null | MEMBER | null | Still has some rough edges to round off, but putting it up bc i think it might be relevant for some of @jorisvandenbossche 's issues in getting AM behavior to match BM.
Sits on top of #39510 | {
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DOC: Slightly broken grammar for `groupby.apply` with fix [#40377](https://github.com/pandas-dev/pandas/issues/40377)
Made the grammar change as raised in the issue. | {
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... | closed | false | null | [] | null | 4 | 2021-03-11T20:48:01Z | 2021-09-22T19:15:01Z | 2021-07-10T18:21:23Z | NONE | null | Hello,
please accept my apologies for not adhering to the bug report template. I felt this issue doesn't quite fit it.
There is a huge increase in installation times on aarch64 Linux machines (e.g. AWS Graviton 2 based EC2 instances) running CPython 3.8 when comparing the current and previous releases of pandas:
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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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- [x] tests added / passed
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This prevents `frame_or_series.asfreq()` from dropping rows/items if the index is not sort... | {
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```
dti = pd.date_range("2016-01-01", periods=3, tz="US/Pacific")
ser = pd.Series(dti)
del ser[1]
>>> ser
0 2016-01-01 00:00:00-08:00
2 2016-01-03 00:00:00-08:00
dtype: object
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For example, `df.style.format(lambda s: f"<a href='https://en.wikipedia.org/wiki/{html.escape(s)}'>{html.escape(s)}</a>", raw_html=True)` could be used to turn a column of values into a column of links to E... | {
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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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- [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
I believe https://github.com/pandas-dev/pandas/pull/40293 may have caused the current typing failures in the CI | {
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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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Moving the posix builds to GitHubActions + uploading coverage on every build, as they're merged by default by Codecov
----
Trying to get this in so that the codecov check in #40078 will pass | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40397/events | https://github.com/pandas-dev/pandas/issues/40397 | 830,046,167 | MDU6SXNzdWU4MzAwNDYxNjc= | 40,397 | API: Make _libs.lib.no_default a singleton | {
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---
This makes it easier for users and other libraries to inspect pandas' behavior without importing private modules (xref https://github.com/dask/dask/pull/7375).
I'm not sure what public namespace is best. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40399/events | https://github.com/pandas-dev/pandas/pull/40399 | 830,150,719 | MDExOlB1bGxSZXF1ZXN0NTkxNzA3MDYz | 40,399 | CLN: _maybe_upcast_for_op doesn't need to check timedelta ndarray | {
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In addition, moving 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
I also noticed that in the same sentence double quotes were missing, so I added those as ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40401 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40401/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40401/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40401/events | https://github.com/pandas-dev/pandas/pull/40401 | 830,238,122 | MDExOlB1bGxSZXF1ZXN0NTkxNzgxNjA5 | 40,401 | CLN: remove unreached boolean-mask case from _preprocess_slice_or_indexer | {
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- [x] closes #40393
- [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 ... | {
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We do expose create_block_manager_from_blocks in core.internals, so could put the old versi... | {
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Python 3.7.4 (default, Aug 9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
import pandas as pd
pd.version
'1.1.5'
d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)... | {
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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
xref: https://github.com/pandas-dev/pandas/pull/40392#discussion_r593013628 | {
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We can go a step further and re-use sanitize_array for the `dtype is None` case, but that ... | {
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Locally when I run mypy on master I get 427 errors mostly "unused 'type: ignore' comment". Same result when i switch from py39 to py38, or from OSX to Ubuntu. mypy==0.812 in all cases. Any guesses what config the CI has different? | {
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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
Summary of contents
- Adds new on_bad_lines parameter (I found on_bad_lines a more ex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40414/events | https://github.com/pandas-dev/pandas/pull/40414 | 830,833,656 | MDExOlB1bGxSZXF1ZXN0NTkyMzEzNTcz | 40,414 | BUG: Do not attempt to cache unhashable values in to_datetime (#39756) | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/40415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40415/events | https://github.com/pandas-dev/pandas/issues/40415 | 830,887,924 | MDU6SXNzdWU4MzA4ODc5MjQ= | 40,415 | BUG: pydoc.ErrorDuringImport when using pydoc to see docs | {
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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/40416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40416/events | https://github.com/pandas-dev/pandas/issues/40416 | 830,911,671 | MDU6SXNzdWU4MzA5MTE2NzE= | 40,416 | QST: to_sql with callable as method+ SQLAlchemy types for dtypes: is this expected behavior? | {
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- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
**Note**: If you'd still like to submit a question, p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40417 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40417/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40417/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40417/events | https://github.com/pandas-dev/pandas/pull/40417 | 830,928,452 | MDExOlB1bGxSZXF1ZXN0NTkyMzgzNzI4 | 40,417 | CI: flaky zip test | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40418 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40418/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40418/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40418/events | https://github.com/pandas-dev/pandas/issues/40418 | 830,932,487 | MDU6SXNzdWU4MzA5MzI0ODc= | 40,418 | BUG: Series/DataFrame.rank returns empty object on failure | {
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Example:
```
df = DataFrame({"A": 3 * [object]})
print(df.rank())
print(df.A.rank())
```
The last two lines are an empty DataFrame and empty Series respectively.
The docstring for numeric_only says:
> For DataFrame objects, rank only numeric columns if set to T... | {
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