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MarcoGorelliMarcoGorelli
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CI add end-of-file-fixer (#36826)
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‎.github/CODE_OF_CONDUCT.md

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@@ -60,4 +60,3 @@ and the [Swift Code of Conduct][swift].
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[homepage]: https://www.contributor-covenant.org
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[version]: https://www.contributor-covenant.org/version/1/3/0/
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[swift]: https://swift.org/community/#code-of-conduct
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‎.pre-commit-config.yaml

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@@ -47,3 +47,8 @@ repos:
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rev: v1.2.2
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hooks:
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- id: yesqa
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v3.2.0
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hooks:
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- id: end-of-file-fixer
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exclude: '.html$|^LICENSES/|.csv$|.txt$|.svg$|.py$'

‎AUTHORS.md

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@@ -54,4 +54,3 @@ pandas is distributed under a 3-clause ("Simplified" or "New") BSD
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license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
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BSD-compatible licenses, are included. Their licenses follow the pandas
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license.
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‎ci/travis_process_gbq_encryption.sh

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@@ -10,4 +10,3 @@ elif [[ -n ${!TRAVIS_IV_ENV} ]]; then
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export GBQ_PROJECT_ID='pandas-gbq-tests';
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echo 'Successfully decrypted gbq credentials'
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fi
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‎doc/data/iris.data

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@@ -148,4 +148,4 @@ SepalLength,SepalWidth,PetalLength,PetalWidth,Name
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6.3,2.5,5.0,1.9,Iris-virginica
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6.5,3.0,5.2,2.0,Iris-virginica
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6.2,3.4,5.4,2.3,Iris-virginica
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5.9,3.0,5.1,1.8,Iris-virginica
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5.9,3.0,5.1,1.8,Iris-virginica

‎doc/source/development/contributing.rst

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@@ -837,6 +837,9 @@ to run its checks by running::
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without having to have done ``pre-commit install`` beforehand.
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Note that if you have conflicting installations of ``virtualenv``, then you may get an
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error - see `here <https://github.com/pypa/virtualenv/issues/1875>`_.
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Backwards compatibility
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~~~~~~~~~~~~~~~~~~~~~~~
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‎doc/source/development/developer.rst

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@@ -184,4 +184,4 @@ As an example of fully-formed metadata:
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'creator': {
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'library': 'pyarrow',
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'version': '0.13.0'
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}}
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}}

‎doc/source/getting_started/intro_tutorials/index.rst

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@@ -19,4 +19,3 @@ Getting started tutorials
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08_combine_dataframes
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09_timeseries
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10_text_data
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‎doc/source/getting_started/overview.rst

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@@ -174,4 +174,3 @@ License
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-------
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.. literalinclude:: ../../../LICENSE
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‎doc/source/reference/general_utility_functions.rst

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@@ -122,4 +122,3 @@ Bug report function
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:toctree: api/
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show_versions
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‎doc/source/whatsnew/v0.14.0.rst

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@@ -1084,4 +1084,4 @@ Bug fixes
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Contributors
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~~~~~~~~~~~~
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.. contributors:: v0.13.1..v0.14.0
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.. contributors:: v0.13.1..v0.14.0

‎flake8/cython-template.cfg

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[flake8]
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filename = *.pxi.in
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select = E501,E302,E203,E111,E114,E221,E303,E231,E126,F403
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‎pandas/_libs/src/klib/khash_python.h

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@@ -121,4 +121,4 @@ void PANDAS_INLINE kh_destroy_str_starts(kh_str_starts_t* table) {
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void PANDAS_INLINE kh_resize_str_starts(kh_str_starts_t* table, khint_t val) {
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kh_resize_str(table->table, val);
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}
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}

‎pandas/_libs/util.pxd

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@@ -48,4 +48,3 @@ cdef inline void set_array_not_contiguous(ndarray ao) nogil:
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# ao->flags &= ~(NPY_ARRAY_C_CONTIGUOUS | NPY_ARRAY_F_CONTIGUOUS);
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PyArray_CLEARFLAGS(ao,
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(NPY_ARRAY_C_CONTIGUOUS | NPY_ARRAY_F_CONTIGUOUS))
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‎pandas/tests/io/json/data/tsframe_iso_v012.json

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{"A":{"2000-01-03T00:00:00":1.56808523,"2000-01-04T00:00:00":-0.2550111,"2000-01-05T00:00:00":1.51493992,"2000-01-06T00:00:00":-0.02765498,"2000-01-07T00:00:00":0.05951614},"B":{"2000-01-03T00:00:00":0.65727391,"2000-01-04T00:00:00":-0.08072427,"2000-01-05T00:00:00":0.11805825,"2000-01-06T00:00:00":0.44679743,"2000-01-07T00:00:00":-2.69652057},"C":{"2000-01-03T00:00:00":1.81021139,"2000-01-04T00:00:00":-0.03202878,"2000-01-05T00:00:00":1.629455,"2000-01-06T00:00:00":0.33192641,"2000-01-07T00:00:00":1.28163262},"D":{"2000-01-03T00:00:00":-0.17251653,"2000-01-04T00:00:00":-0.17581665,"2000-01-05T00:00:00":-1.31506612,"2000-01-06T00:00:00":-0.27885413,"2000-01-07T00:00:00":0.34703478},"date":{"2000-01-03T00:00:00":"1992-01-06T18:21:32.120000","2000-01-04T00:00:00":"1992-01-06T18:21:32.120000","2000-01-05T00:00:00":"1992-01-06T18:21:32.120000","2000-01-06T00:00:00":"2013-01-01T00:00:00","2000-01-07T00:00:00":"1992-01-06T18:21:32.120000"}}
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{"A":{"2000-01-03T00:00:00":1.56808523,"2000-01-04T00:00:00":-0.2550111,"2000-01-05T00:00:00":1.51493992,"2000-01-06T00:00:00":-0.02765498,"2000-01-07T00:00:00":0.05951614},"B":{"2000-01-03T00:00:00":0.65727391,"2000-01-04T00:00:00":-0.08072427,"2000-01-05T00:00:00":0.11805825,"2000-01-06T00:00:00":0.44679743,"2000-01-07T00:00:00":-2.69652057},"C":{"2000-01-03T00:00:00":1.81021139,"2000-01-04T00:00:00":-0.03202878,"2000-01-05T00:00:00":1.629455,"2000-01-06T00:00:00":0.33192641,"2000-01-07T00:00:00":1.28163262},"D":{"2000-01-03T00:00:00":-0.17251653,"2000-01-04T00:00:00":-0.17581665,"2000-01-05T00:00:00":-1.31506612,"2000-01-06T00:00:00":-0.27885413,"2000-01-07T00:00:00":0.34703478},"date":{"2000-01-03T00:00:00":"1992-01-06T18:21:32.120000","2000-01-04T00:00:00":"1992-01-06T18:21:32.120000","2000-01-05T00:00:00":"1992-01-06T18:21:32.120000","2000-01-06T00:00:00":"2013-01-01T00:00:00","2000-01-07T00:00:00":"1992-01-06T18:21:32.120000"}}

‎pandas/tests/io/json/data/tsframe_v012.json

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{"A":{"946857600000000000":1.56808523,"946944000000000000":-0.2550111,"947030400000000000":1.51493992,"947116800000000000":-0.02765498,"947203200000000000":0.05951614},"B":{"946857600000000000":0.65727391,"946944000000000000":-0.08072427,"947030400000000000":0.11805825,"947116800000000000":0.44679743,"947203200000000000":-2.69652057},"C":{"946857600000000000":1.81021139,"946944000000000000":-0.03202878,"947030400000000000":1.629455,"947116800000000000":0.33192641,"947203200000000000":1.28163262},"D":{"946857600000000000":-0.17251653,"946944000000000000":-0.17581665,"947030400000000000":-1.31506612,"947116800000000000":-0.27885413,"947203200000000000":0.34703478},"date":{"946857600000000000":694722092120000000,"946944000000000000":694722092120000000,"947030400000000000":694722092120000000,"947116800000000000":1356998400000000000,"947203200000000000":694722092120000000},"modified":{"946857600000000000":694722092120000000,"946944000000000000":null,"947030400000000000":694722092120000000,"947116800000000000":1356998400000000000,"947203200000000000":694722092120000000}}
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{"A":{"946857600000000000":1.56808523,"946944000000000000":-0.2550111,"947030400000000000":1.51493992,"947116800000000000":-0.02765498,"947203200000000000":0.05951614},"B":{"946857600000000000":0.65727391,"946944000000000000":-0.08072427,"947030400000000000":0.11805825,"947116800000000000":0.44679743,"947203200000000000":-2.69652057},"C":{"946857600000000000":1.81021139,"946944000000000000":-0.03202878,"947030400000000000":1.629455,"947116800000000000":0.33192641,"947203200000000000":1.28163262},"D":{"946857600000000000":-0.17251653,"946944000000000000":-0.17581665,"947030400000000000":-1.31506612,"947116800000000000":-0.27885413,"947203200000000000":0.34703478},"date":{"946857600000000000":694722092120000000,"946944000000000000":694722092120000000,"947030400000000000":694722092120000000,"947116800000000000":1356998400000000000,"947203200000000000":694722092120000000},"modified":{"946857600000000000":694722092120000000,"946944000000000000":null,"947030400000000000":694722092120000000,"947116800000000000":1356998400000000000,"947203200000000000":694722092120000000}}

‎requirements-dev.txt

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natsort
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git+https://github.com/pandas-dev/pydata-sphinx-theme.git@master
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git+https://github.com/numpy/numpydoc
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pyflakes>=2.2.0
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pyflakes>=2.2.0

‎scripts/generate_pip_deps_from_conda.py

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f"# This file is auto-generated from {fname}, do not modify.\n"
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"# See that file for comments about the need/usage of each dependency.\n\n"
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)
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pip_content = header + "\n".join(pip_deps)
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pip_content = header + "\n".join(pip_deps) + "\n"
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if compare:
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with open(pip_fname) as pip_fd:

‎setup.cfg

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[mypy-pandas.util._decorators]
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check_untyped_defs=False
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‎web/pandas/community/coc.md

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[homepage]: https://www.contributor-covenant.org
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[version]: https://www.contributor-covenant.org/version/1/3/0/
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[swift]: https://swift.org/community/#code-of-conduct
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