. . . . . . . . . . . 65 2.3 Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 2.4 Recommended Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 2.5 Optional Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 2.6 Installing from source . . . . . pandas (and that we want contributions!). There are several libraries that are now Recommended Dependencies 1.2.1 Selection Choices Starting in 0.11.0, object selection has had a number of user-requested

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2986 4.4.3 Optional dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2987 4.4.4 Backwards To run it on your machine to verify that everything is working (and that you have all of the dependencies, soft and hard, installed), make sure you have pytest >= 6.0 and Hypothesis >= 6.13.0, then run: different result as what is shown above. Dependencies Package Minimum supported version NumPy 1.20.3 python-dateutil 2.8.1 pytz 2020.1 Recommended dependencies • numexpr: for accelerating certain numerical

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2643 4.4.3 Optional dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2643 4.4.4 Type hints To run it on your machine to verify that everything is working (and that you have all of the dependencies, soft and hard, installed), make sure you have pytest >= 6.0 and Hypothesis >= 3.58, then run: 368.339 seconds ===================== Dependencies Package Minimum supported version NumPy 1.17.3 python-dateutil 2.7.3 pytz 2017.3 Recommended dependencies • numexpr: for accelerating certain numerical

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2722 4.4.3 Optional dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2722 4.4.4 Type hints To run it on your machine to verify that everything is working (and that you have all of the dependencies, soft and hard, installed), make sure you have pytest >= 6.0 and Hypothesis >= 3.58, then run: 368.339 seconds ===================== Dependencies Package Minimum supported version NumPy 1.17.3 python-dateutil 2.7.3 pytz 2017.3 Recommended dependencies • numexpr: for accelerating certain numerical

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2722 4.4.3 Optional dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2722 4.4.4 Type hints To run it on your machine to verify that everything is working (and that you have all of the dependencies, soft and hard, installed), make sure you have pytest >= 6.0 and Hypothesis >= 3.58, then run: 368.339 seconds ===================== Dependencies Package Minimum supported version NumPy 1.17.3 python-dateutil 2.7.3 pytz 2017.3 Recommended dependencies • numexpr: for accelerating certain numerical

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2814 4.4.3 Optional dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2814 4.4.4 Type hints To run it on your machine to verify that everything is working (and that you have all of the dependencies, soft and hard, installed), make sure you have pytest >= 6.0 and Hypothesis >= 3.58, then run: 368.339 seconds ===================== Dependencies Package Minimum supported version NumPy 1.18.5 python-dateutil 2.8.1 pytz 2020.1 Recommended dependencies • numexpr: for accelerating certain numerical

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2816 4.4.3 Optional dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2816 4.4.4 Type hints To run it on your machine to verify that everything is working (and that you have all of the dependencies, soft and hard, installed), make sure you have pytest >= 6.0 and Hypothesis >= 3.58, then run: 368.339 seconds ===================== Dependencies Package Minimum supported version NumPy 1.18.5 python-dateutil 2.8.1 pytz 2020.1 Recommended dependencies • numexpr: for accelerating certain numerical

. . . . . . . . . . . 97 2.3 Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 2.4 Recommended Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 2.5 Optional Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 2.6 Installing from source . . . . . pandas (and that we want contributions!). There are several libraries that are now Recommended Dependencies 1.4.1 Selection Choices Starting in 0.11.0, object selection has had a number of user-requested

. . . . . . . . . . . . 15 2.3 Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.4 Optional dependencies . . . . . . . . . . . . . . . . Binary installers Available on PyPI 2.3 Dependencies • NumPy: 1.4.0 or higher. Recommend 1.5.1 or higher • python-dateutil 1.5 2.4 Optional dependencies • SciPy: miscellaneous statistical functions 15 pandas: powerful Python data analysis toolkit, Release 0.7.1 Note: Without the optional dependencies, many useful features will not work. Hence, it is highly recommended that you install these. A

. . . . . . . . . . . . 15 2.3 Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.4 Optional dependencies . . . . . . . . . . . . . . . . Binary installers Available on PyPI 2.3 Dependencies • NumPy: 1.4.0 or higher. Recommend 1.5.1 or higher • python-dateutil 1.5 2.4 Optional dependencies • SciPy: miscellaneous statistical functions 15 pandas: powerful Python data analysis toolkit, Release 0.7.2 Note: Without the optional dependencies, many useful features will not work. Hence, it is highly recommended that you install these. A