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- [ ] closes #44521 - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry Still some deprecation warnings left. Anyone want to approve for me so we can get this merged ASAP?
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Comment deleted as build on Mac failed. Suggested by @marcogorelli.
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CONTRIBUTOR
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- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry
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Fix Regression when using sum/cumsum on Groupby objects
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Fix/26837 format array
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- [x] closes #26837 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry The basic strategy is to move `format_array` from pandas.io.formats.format to `ExtensionArray._format_array`. By default, we convert to ndarray and then use the existing formatting mechanism on the ndarray.
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44,528
BUG: Hexbin creates inconsistent size of hexagons for nearly the same data, depending on distance from axis limits
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"2021-11-21T08:55:28Z"
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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](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd from io import StringIO csv_data = "x,y\n1,1\n1,2\n2,1\n1,9\n9,1" csv_data2 = "x,y\n1,1\n1,2\n2,1\n1,3\n3,1" pd.read_csv(StringIO(csv_data)).plot(kind='hexbin',x='x',y='y',\ xlim=[-0.5,10.5],ylim=[0,10.5],\ gridsize=[10,10],sharex=False) pd.read_csv(StringIO(csv_data2)).plot(kind='hexbin',x='x',y='y',\ xlim=[-0.5,10.5],ylim=[0,10.5],\ gridsize=[10,10],sharex=False) ``` ### Issue Description csv_data gets plotted with big hexagons touching each other as expected. csv_data2 gets plotted with much smaller hexagons, probably because there is no data near the right xlim, upper ylim. ### Expected Behavior I was expecting the same size of hexagon for those two datasets ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.7.10.final.0 python-bits : 64 OS : Linux OS-release : 4.19.0-18-cloud-amd64 Version : #1 SMP Debian 4.19.208-1 (2021-09-29) machine : x86_64 processor : byteorder : little LC_ALL : None LANG : C.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.3.4 numpy : 1.19.5 pytz : 2021.3 dateutil : 2.8.2 pip : 21.3 setuptools : 58.2.0 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : 7.28.0 pandas_datareader: None bs4 : None bottleneck : 1.3.2 fsspec : 2021.10.1 fastparquet : None gcsfs : 2021.10.1 matplotlib : 3.4.3 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : 5.0.0 pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : 1.4.26 tables : None tabulate : None xarray : None xlrd : None xlwt : None numba : 0.54.1 </details>
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CLN: tighten noqas
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- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry
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Fix regression ignoring arrays in dtype check for merge_asof
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- [x] closes #42844 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry This restores the 1.2.x behavior. Passing an array as join key is something we don't have much test support. We have 2 tests for this which were added ages ago. We could deprecate this.
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Add json normalize back into doc and move read_json to pd namespace
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- [x] closes #42540 read_json looked like it had to be used like pandas.io.json.read_json and json_normalize was missing alltogether. Maybe backporting as well? Edit: Build Docs locally, look fine now
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- [x] closes #44499 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry
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DOC: 'MS' offset alias does not work as described with pd.date_range()
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- [x] closes #44146 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [NA] whatsnew entry
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TST: Address numba warnings in test suite
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MEMBER
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This match was working for me locally, so hopefully it should also match in the CI.
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- [x] closes #25306 - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them
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DOC: update styler user guide for out of date material
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CONTRIBUTOR
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- [x] closes #43276 updates some other lines that are out of date.
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Backport PR #44530: Fix regression ignoring arrays in dtype check for merge_asof
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DEPR: Series/DataFrame.append (#35407)
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- [x] addresses #35407 (adds deprecation warning) - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry
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Backport PR #44531 on branch 1.3.x (Add json normalize back into doc and move read_json to pd namespace)
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Backport PR #44531: Add json normalize back into doc and move read_json to pd namespace
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DOCS question: add pandera to ecosystem page?
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https://pandas.pydata.org/pandas-docs/stable/ecosystem.html Hi pandas maintainers! I wanted to field a question here to add [pandera](https://pandera.readthedocs.io/) to the pandas ecosystem docs page under "data validation and cleaning". Pandera is a schema specification, type annotation, and data testing tool for Pandas and dataframe-like libraries (Dask, Modin, and Koalas) and wanted to see if it would make sense to add to this page.
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- [ ] closes #xxxx - [ ] tests added / passed - [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [ ] whatsnew entry
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BUG: Index with object dtype and negative loc for insert adding none and replacing existing value
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- [x] closes #44509 - [x] tests added / passed - [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them - [x] whatsnew entry This behaves like np.insert, so changed the docstring. Making this compatible with list.insert would be a breaking change Nevertheless the else block in the base implementation had a bug, so fixed that one too
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Backport PR #44518 on branch 1.3.x (BUG: DataFrame with scalar tzaware Timestamp)
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Backport PR #44518
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TYP: masked array mask
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REF: deduplicate nullable arrays _cmp_method
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xref https://github.com/pandas-dev/pandas/pull/44533#discussion_r753689506, helps on a bullet in #38110
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#41970 moved this to the base class, so not needed here anymore
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BUG: Indexing on nullable column
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To avoid some false positive coverage results which can make an entire PR appear that it's failing: https://github.com/pandas-dev/pandas/pull/44546/checks?check_run_id=4275864618 https://github.com/pandas-dev/pandas/pull/44461/checks?check_run_id=4276518961 Change codecov patch builds to always pass but still report the % coverage of the PR: https://docs.codecov.com/docs/commit-status#informational IMO our code review process should ensure that new code has associated tests.
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[EHN] pandas.DataFrame.to_orc
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Backport PR #44523
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Partial Backport PR #44529 on branch 1.3.x (CLN: tighten noqas)
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