conda, then install pip, and then use pip to install those packages: conda install pip pip install django 2.2.3 Installing from PyPI pandas can be installed via pip from PyPI. pip install pandas 2.2 Release 0.25.3 {{ header }} 10 Chapter 2. Installation CHAPTER THREE GETTING STARTED {{ header }} 3.1 Package overview pandas is a Python package providing fast, flexible, and expressive data structures modification, are permitted provided that the following conditions are met: (continues on next page) 3.1. Package overview 13 pandas: powerful Python data analysis toolkit, Release 0.25.3 (continued from

conda, then install pip, and then use pip to install those packages: conda install pip pip install django 44 Chapter 2. Getting started pandas: powerful Python data analysis toolkit, Release 1.0.0 Installing 0 5.1 3.5 1.4 0.2 Iris-setosa 1 4.9 3.0 1.4 0.2 Iris-setosa 2 4.7 3.2 1.3 0.2 Iris-setosa 3 4.6 3.1 1.5 0.2 Iris-setosa 4 5.0 3.6 1.4 0.2 Iris-setosa In [76]: (iris.assign(sepal_ratio=iris['SepalWidth'] Iris-setosa 0.686275 1 4.9 3.0 1.4 0.2 Iris-setosa 0.612245 2 4.7 3.2 1.3 0.2 Iris-setosa 0.680851 3 4.6 3.1 1.5 0.2 Iris-setosa 0.673913 4 5.0 3.6 1.4 0.2 Iris-setosa 0.720000 In the example above, we inserted

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224 3 User Guide 227 3.1 IO tools (text, CSV, HDF5, ...) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . conda, then install pip, and then use pip to install those packages: conda install pip pip install django 8 Chapter 2. Getting started pandas: powerful Python data analysis toolkit, Release 1.0.3 Installing 0 5.1 3.5 1.4 0.2 Iris-setosa 1 4.9 3.0 1.4 0.2 Iris-setosa 2 4.7 3.2 1.3 0.2 Iris-setosa 3 4.6 3.1 1.5 0.2 Iris-setosa 4 5.0 3.6 1.4 0.2 Iris-setosa In [76]: (iris.assign(sepal_ratio=iris['SepalWidth']

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1017 3 API reference 1019 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . conda, then install pip, and then use pip to install those packages: conda install pip pip install django Installing from PyPI pandas can be installed via pip from PyPI. pip install pandas Installing 0 5.1 3.5 1.4 0.2 Iris-setosa 1 4.9 3.0 1.4 0.2 Iris-setosa 2 4.7 3.2 1.3 0.2 Iris-setosa 3 4.6 3.1 1.5 0.2 Iris-setosa 4 5.0 3.6 1.4 0.2 Iris-setosa In [84]: iris.assign(sepal_ratio=iris["SepalWidth"]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1018 3 API reference 1019 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . conda, then install pip, and then use pip to install those packages: conda install pip pip install django Installing from PyPI pandas can be installed via pip from PyPI. pip install pandas Installing 0 5.1 3.5 1.4 0.2 Iris-setosa 1 4.9 3.0 1.4 0.2 Iris-setosa 2 4.7 3.2 1.3 0.2 Iris-setosa 3 4.6 3.1 1.5 0.2 Iris-setosa 4 5.0 3.6 1.4 0.2 Iris-setosa In [84]: iris.assign(sepal_ratio=iris["SepalWidth"]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 975 3 API reference 977 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . conda, then install pip, and then use pip to install those packages: conda install pip pip install django Installing from PyPI pandas can be installed via pip from PyPI. pip install pandas Installing 0 5.1 3.5 1.4 0.2 Iris-setosa 1 4.9 3.0 1.4 0.2 Iris-setosa 2 4.7 3.2 1.3 0.2 Iris-setosa 3 4.6 3.1 1.5 0.2 Iris-setosa 4 5.0 3.6 1.4 0.2 Iris-setosa In [84]: iris.assign(sepal_ratio=iris["SepalWidth"]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1026 3 API reference 1027 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . conda, then install pip, and then use pip to install those packages: conda install pip pip install django Installing from PyPI pandas can be installed via pip from PyPI. Note: You must have pip>=19.3 0 5.1 3.5 1.4 0.2 Iris-setosa 1 4.9 3.0 1.4 0.2 Iris-setosa 2 4.7 3.2 1.3 0.2 Iris-setosa 3 4.6 3.1 1.5 0.2 Iris-setosa 4 5.0 3.6 1.4 0.2 Iris-setosa In [84]: iris.assign(sepal_ratio=iris["SepalWidth"]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1026 3 API reference 1027 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . conda, then install pip, and then use pip to install those packages: conda install pip pip install django Installing from PyPI pandas can be installed via pip from PyPI. Note: You must have pip>=19.3 0 5.1 3.5 1.4 0.2 Iris-setosa 1 4.9 3.0 1.4 0.2 Iris-setosa 2 4.7 3.2 1.3 0.2 Iris-setosa 3 4.6 3.1 1.5 0.2 Iris-setosa 4 5.0 3.6 1.4 0.2 Iris-setosa In [84]: iris.assign(sepal_ratio=iris["SepalWidth"]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 993 i 3 API reference 1033 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . conda, then install pip, and then use pip to install those packages: conda install pip pip install django Installing from PyPI pandas can be installed via pip from PyPI. Note: You must have pip>=19.3 0 5.1 3.5 1.4 0.2 Iris-setosa 1 4.9 3.0 1.4 0.2 Iris-setosa 2 4.7 3.2 1.3 0.2 Iris-setosa 3 4.6 3.1 1.5 0.2 Iris-setosa 4 5.0 3.6 1.4 0.2 Iris-setosa (continues on next page) 2.2. Guides 191 pandas:

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 910 3 API reference 913 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . conda, then install pip, and then use pip to install those packages: conda install pip pip install django 6 Chapter 1. Getting started pandas: powerful Python data analysis toolkit, Release 1.1.1 Installing 0 5.1 3.5 1.4 0.2 Iris-setosa 1 4.9 3.0 1.4 0.2 Iris-setosa 2 4.7 3.2 1.3 0.2 Iris-setosa 3 4.6 3.1 1.5 0.2 Iris-setosa 4 5.0 3.6 1.4 0.2 Iris-setosa In [79]: (iris.assign(sepal_ratio=iris['SepalWidth']