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‎Dockerfile‎

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FROM python:3.10.8
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FROM python:3.11.13
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WORKDIR /home/pandas
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RUN apt-get update && \

‎ci/code_checks.sh‎

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-i "pandas.tseries.offsets.DateOffset.is_on_offset GL08" \
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-i "pandas.tseries.offsets.DateOffset.n GL08" \
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-i "pandas.tseries.offsets.DateOffset.normalize GL08" \
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-i "pandas.tseries.offsets.Day.freqstr SA01" \
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-i "pandas.tseries.offsets.Day.is_on_offset GL08" \
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-i "pandas.tseries.offsets.Day.n GL08" \
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-i "pandas.tseries.offsets.Day.normalize GL08" \

‎ci/deps/actions-311-minimum_versions.yaml‎

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- numpy=1.26.0
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# optional dependencies
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- adbc-driver-postgresql=1.2.0
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- adbc-driver-sqlite=1.2.0
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- beautifulsoup4=4.12.3
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- bottleneck=1.3.6
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- fastparquet=2024.2.0
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- odfpy=1.4.1
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- qtpy=2.3.0
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- openpyxl=3.1.2
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- psycopg2=2.9.6
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- psycopg2=2.9.9
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- pyarrow=12.0.1
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- pyiceberg=0.7.1
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- pymysql=1.1.0
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- zstandard=0.22.0
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- pip:
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- adbc-driver-postgresql==0.10.0
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- adbc-driver-sqlite==0.8.0
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- tzdata==2023.3

‎ci/deps/actions-311.yaml‎

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- numpy
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# optional dependencies
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- adbc-driver-postgresql>=1.2.0
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- adbc-driver-sqlite>=1.2.0
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- beautifulsoup4>=4.12.3
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- qtpy>=2.3.0
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- pyqt>=5.15.9
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- openpyxl>=3.1.2
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- psycopg2>=2.9.6
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- psycopg2>=2.9.9
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- pyarrow>=12.0.1
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- pyiceberg>=0.7.1
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- pymysql>=1.1.0
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- pip:
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- adbc-driver-postgresql>=0.10.0
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- adbc-driver-sqlite>=0.8.0
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- tzdata>=2023.3

‎ci/deps/actions-312.yaml‎

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- numpy
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# optional dependencies
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- adbc-driver-postgresql>=1.2.0
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- adbc-driver-sqlite>=1.2.0
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- beautifulsoup4>=4.12.3
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- qtpy>=2.3.0
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- pyqt>=5.15.9
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- openpyxl>=3.1.2
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- psycopg2>=2.9.6
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- psycopg2>=2.9.9
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- pyarrow>=12.0.1
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- pyiceberg>=0.7.1
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- pymysql>=1.1.0
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- zstandard>=0.22.0
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- pip:
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- adbc-driver-postgresql>=0.10.0
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- adbc-driver-sqlite>=0.8.0
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‎ci/deps/actions-313-downstream_compat.yaml‎

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# optional dependencies
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- adbc-driver-postgresql>=1.2.0
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- beautifulsoup4>=4.12.3
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- odfpy>=1.4.1
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- qtpy>=2.3.0
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- openpyxl>=3.1.2
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- psycopg2>=2.9.6
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- psycopg2>=2.9.9
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- pyarrow>=12.0.1
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- pyiceberg>=0.7.1
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- pymysql>=1.1.0
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- pandas-datareader
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- pyyaml
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- pip:
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- adbc-driver-postgresql>=0.10.0
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- adbc-driver-sqlite>=0.8.0
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‎ci/deps/actions-313.yaml‎

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- adbc-driver-sqlite>=1.2.0
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- bottleneck>=1.3.6
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- pyqt>=5.15.9
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- openpyxl>=3.1.2
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- psycopg2>=2.9.6
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- psycopg2>=2.9.9
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- pyarrow>=12.0.1
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- pyreadstat>=1.2.6
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‎doc/source/getting_started/install.rst‎

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`SQLAlchemy <https://github.com/sqlalchemy/sqlalchemy>`__ 2.0.0 postgresql, SQL support for databases other than sqlite
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mysql,
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sql-other
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`psycopg2 <https://github.com/psycopg/psycopg2>`__ 2.9.6 postgresql PostgreSQL engine for sqlalchemy
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`psycopg2 <https://github.com/psycopg/psycopg2>`__ 2.9.9 postgresql PostgreSQL engine for sqlalchemy
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`pymysql <https://github.com/PyMySQL/PyMySQL>`__ 1.1.0 mysql MySQL engine for sqlalchemy
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`adbc-driver-postgresql <https://github.com/apache/arrow-adbc>`__ 0.10.0 postgresql ADBC Driver for PostgreSQL
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`adbc-driver-sqlite <https://github.com/apache/arrow-adbc>`__ 0.8.0 sql-other ADBC Driver for SQLite
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`adbc-driver-postgresql <https://github.com/apache/arrow-adbc>`__ 1.2.0 postgresql ADBC Driver for PostgreSQL
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`adbc-driver-sqlite <https://github.com/apache/arrow-adbc>`__ 1.2.0 sql-other ADBC Driver for SQLite
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================================================================== ================== =============== ============================================
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Other data sources

‎doc/source/reference/testing.rst‎

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errors.OptionError
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errors.OutOfBoundsDatetime
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errors.OutOfBoundsTimedelta
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errors.PandasChangeWarning
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errors.Pandas4Warning
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errors.Pandas5Warning
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errors.PandasPendingDeprecationWarning
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errors.PandasDeprecationWarning
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errors.PandasFutureWarning
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‎doc/source/user_guide/timedeltas.rst‎

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pd.Timedelta("P0DT0H1M0S")
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pd.Timedelta("P0DT0H0M0.000000123S")
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:ref:`DateOffsets<timeseries.offsets>` (``Day, Hour, Minute, Second, Milli, Micro, Nano``) can also be used in construction.
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:ref:`DateOffsets<timeseries.offsets>` (``Hour, Minute, Second, Milli, Micro, Nano``) can also be used in construction.
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.. ipython:: python
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pd.Timedelta(pd.offsets.Day(2)) + pd.Timedelta(pd.offsets.Second(2)) + pd.Timedelta(
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pd.Timedelta(pd.offsets.Hour(48)) + pd.Timedelta(pd.offsets.Second(2)) + pd.Timedelta(
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"00:00:00.000123"
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)
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