their valuable time and energy to help make open source pandas possible. Thanks to all of our contributors. If you’re interested in contributing, please visit the contributing guide. pandas is a NumFOCUS Inc. and PyData␣ ˓→Development Team All rights reserved. Copyright (c) 2011-2021, Open source contributors. (continues on next page) 14 Chapter 1. Getting started pandas: powerful Python data analysis its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS

their valuable time and energy to help make open source pandas possible. Thanks to all of our contributors. If you’re interested in contributing, please visit the contributing guide. pandas is a NumFOCUS Inc. and PyData␣ ˓→Development Team All rights reserved. Copyright (c) 2011-2021, Open source contributors. (continues on next page) 14 Chapter 1. Getting started pandas: powerful Python data analysis its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS

in Index constructor incorrectly allowing 2-dimensional input arrays (GH13601, GH27125) 1.10 Contributors A total of 303 people contributed patches to this release. People with a “+” by their names contributed Andreas Buhr + • Andrew Munch + • Andy • Angela Ambroz + • Aniruddha Bhattacharjee + 1.10. Contributors 33 pandas: powerful Python data analysis toolkit, Release 1.0.0 • Ankit Dhankhar + • Antonio Isaac Virshup + • Ivan Bessarabov + • JMBurley + • Jack Bicknell + • Jacob Buckheit + 1.10. Contributors 35 pandas: powerful Python data analysis toolkit, Release 1.0.0 • Jan Koch • Jan Pipek + •

their valuable time and energy to help make open source pandas possible. Thanks to all of our contributors. If you’re interested in contributing, please visit the contributing guide. pandas is a NumFOCUS Inc. and PyData ˓→Development Team All rights reserved. Copyright (c) 2011-2021, Open source contributors. Redistribution and use in source and binary forms, with or without (continues on next page) its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS

their valuable time and energy to help make open source pandas possible. Thanks to all of our contributors. If you’re interested in contributing, please visit the contributing guide. pandas is a NumFOCUS Inc. and PyData␣ ˓→Development Team All rights reserved. Copyright (c) 2011-2021, Open source contributors. (continues on next page) 14 Chapter 1. Getting started pandas: powerful Python data analysis its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS

their valuable time and energy to help make open source pandas possible. Thanks to all of our contributors. If you’re interested in contributing, please visit the contributing guide. pandas is a NumFOCUS Inc. and PyData␣ ˓→Development Team All rights reserved. Copyright (c) 2011-2021, Open source contributors. (continues on next page) 14 Chapter 1. Getting started pandas: powerful Python data analysis its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS

their valuable time and energy to help make open source pandas possible. Thanks to all of our contributors. If you’re interested in contributing, please visit the contributing guide. pandas is a NumFOCUS Inc. and PyData ˓→Development Team All rights reserved. Copyright (c) 2011-2020, Open source contributors. Redistribution and use in source and binary forms, with or without modification, are permitted its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS

their valuable time and energy to help make open source pandas possible. Thanks to all of our contributors. If you’re interested in contributing, please visit the contributing guide. pandas is a NumFOCUS Inc. and PyData ˓→Development Team All rights reserved. Copyright (c) 2011-2020, Open source contributors. Redistribution and use in source and binary forms, with or without (continues on next page) its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS

their valuable time and energy to help make open source pandas possible. Thanks to all of our contributors. If you’re interested in contributing, please visit the contributing guide. pandas is a NumFOCUS Inc. and PyData ˓→Development Team All rights reserved. Copyright (c) 2011-2020, Open source contributors. Redistribution and use in source and binary forms, with or without modification, are permitted its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS

their valuable time and energy to help make open source pandas possible. Thanks to all of our contributors. If you’re interested in contributing, please visit the contributing guide. pandas is a NumFOCUS Inc. and PyData␣ ˓→Development Team All rights reserved. Copyright (c) 2011-2022, Open source contributors. Redistribution and use in source and binary forms, with or without modification, are permitted provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written