. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3 Frequently Asked Questions (FAQ) 17 4 Package overview 19 4.1 Data structures at a glance . . . . . . . . . . . . . . . Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pystatsmodels pandas is a Installation CHAPTER THREE FREQUENTLY ASKED QUESTIONS (FAQ) 17 pandas: powerful Python data analysis toolkit, Release 0.7.1 18 Chapter 3. Frequently Asked Questions (FAQ) CHAPTER FOUR PACKAGE OVERVIEW

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3 Frequently Asked Questions (FAQ) 17 4 Package overview 19 4.1 Data structures at a glance . . . . . . . . . . . . . . . Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pystatsmodels pandas is a Installation CHAPTER THREE FREQUENTLY ASKED QUESTIONS (FAQ) 17 pandas: powerful Python data analysis toolkit, Release 0.7.2 18 Chapter 3. Frequently Asked Questions (FAQ) CHAPTER FOUR PACKAGE OVERVIEW

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 3 Frequently Asked Questions (FAQ) 21 4 Package overview 23 4.1 Data structures at a glance . . . . . . . . . . . . . . . Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pystatsmodels pandas is a Installation CHAPTER THREE FREQUENTLY ASKED QUESTIONS (FAQ) 21 pandas: powerful Python data analysis toolkit, Release 0.7.3 22 Chapter 3. Frequently Asked Questions (FAQ) CHAPTER FOUR PACKAGE OVERVIEW

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 3 Frequently Asked Questions (FAQ) 69 3.1 How do I control the way my DataFrame is displayed? . . . . . . . . . . . . . . . Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pystatsmodels pandas is a 818 tests in 21.631s OK (SKIP=2) 68 Chapter 2. Installation CHAPTER THREE FREQUENTLY ASKED QUESTIONS (FAQ) 3.1 How do I control the way my DataFrame is displayed? Pandas users rely on a variety of

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 3 Frequently Asked Questions (FAQ) 101 3.1 How do I control the way my DataFrame is displayed? . . . . . . . . . . . . . . Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python 818 tests in 21.631s OK (SKIP=2) 100 Chapter 2. Installation CHAPTER THREE FREQUENTLY ASKED QUESTIONS (FAQ) 3.1 How do I control the way my DataFrame is displayed? Pandas users rely on a variety of

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128 3 Frequently Asked Questions (FAQ) 129 3.1 How do I control the way my DataFrame is displayed? . . . . . . . . . . . . . . Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python 818 tests in 21.631s OK (SKIP=2) 128 Chapter 2. Installation CHAPTER THREE FREQUENTLY ASKED QUESTIONS (FAQ) 3.1 How do I control the way my DataFrame is displayed? Pandas users rely on a variety of

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172 3 Frequently Asked Questions (FAQ) 175 3.1 DataFrame memory usage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python Canopy may be worth considering. 174 Chapter 2. Installation CHAPTER THREE FREQUENTLY ASKED QUESTIONS (FAQ) 3.1 DataFrame memory usage As of pandas version 0.15.0, the memory usage of a dataframe

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 3 Frequently Asked Questions (FAQ) 169 3.1 DataFrame memory usage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python Canopy may be worth considering. 168 Chapter 2. Installation CHAPTER THREE FREQUENTLY ASKED QUESTIONS (FAQ) 3.1 DataFrame memory usage As of pandas version 0.15.0, the memory usage of a dataframe

expand (or not) to a DataFrame. apply() combined with some cleverness can be used to answer many questions about a data set. For example, suppose we wanted to extract the date where the maximum value for introduction and the API documentation. 3.5.10 Examples In this section, we will review frequently asked questions and examples. The column names and relevant column values are named to correspond with how this 2 0 NaN 1 NaN 2 NaN 3 NaN dtype: Sparse[float64, nan] {{ header }} 3.21 Frequently Asked Questions (FAQ) 3.21.1 DataFrame memory usage The memory usage of a DataFrame (including the index) is shown

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 852 2.21 Frequently Asked Questions (FAQ) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 855 2.21.1 DataFrame expand (or not) to a DataFrame. apply() combined with some cleverness can be used to answer many questions about a data set. For example, suppose we wanted to extract the date where the maximum value for introduction and the API documentation. 2.5.10 Examples In this section, we will review frequently asked questions and examples. The column names and relevant column values are named to correspond with how this