What’s New CHAPTER TWO INSTALLATION You have the option to install an official release or to build the development version. If you choose to install from source and are running Windows, you will have especially if working with large data sets. 2.5 Optional Dependencies • Cython: Only necessary to build development version. Version 0.17.1 or higher. 98 Chapter 2. Installation pandas: powerful Python about HTML parsing libraries Note: – if you’re on a system with apt-get you can do sudo apt-get build-dep python-lxml to get the necessary dependencies for installation of lxml. This will prevent further

docstring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2983 4.3.3 How to build the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2983 4.3.4 Previewing the by parameter to DataFrame.sort_values() may refer to either columns or index level names. # Build MultiIndex In [323]: idx = pd.MultiIndex.from_tuples( .....: [("a", 1), ("a", 2), ("a", 2), ("b" ("b", 2), ("b", 1), ("b", 1)] .....: ) .....: In [324]: idx.names = ["first", "second"] # Build DataFrame In [325]: df_multi = pd.DataFrame({"A": np.arange(6, 0, -1)}, index=idx) In [326]: df_multi Out[326]:

python setup.py build --compiler=mingw32 python setup.py install Note that you will not be able to import pandas if you open an interpreter in the source directory unless you build the C extensions in in place: python setup.py build_ext --inplace The most recent version of MinGW (any installer dated after 2011-08-03) has removed the ‘-mno-cygwin’ option but Distutils has not yet been updated to reflect especially if working with large data sets. 2.3.2 Optional Dependencies • Cython: Only necessary to build development version. Version 0.19.1 or higher. • SciPy: miscellaneous statistical functions • PyTables:

python setup.py build --compiler=mingw32 python setup.py install Note that you will not be able to import pandas if you open an interpreter in the source directory unless you build the C extensions in in place: python setup.py build_ext --inplace The most recent version of MinGW (any installer dated after 2011-08-03) has removed the ‘-mno-cygwin’ option but Distutils has not yet been updated to reflect especially if working with large data sets. 2.3.2 Optional Dependencies • Cython: Only necessary to build development version. Version 0.19.1 or higher. • SciPy: miscellaneous statistical functions • PyTables:

What’s New CHAPTER TWO INSTALLATION You have the option to install an official release or to build the development version. If you choose to install from source and are running Windows, you will have especially if working with large data sets. 2.5 Optional Dependencies • Cython: Only necessary to build development version. Version 0.17.1 or higher. 126 Chapter 2. Installation pandas: powerful Python about HTML parsing libraries Note: – if you’re on a system with apt-get you can do sudo apt-get build-dep python-lxml to get the necessary dependencies for installation of lxml. This will prevent further

DatetimeIndex may raise TypeError (GH9852) • Bug in setup.py that would allow an incompat cython version to build (GH9827) • Bug in plotting secondary_y incorrectly attaches right_ax property to secondary axes specifying especially if working with large data sets. 2.3.2 Optional Dependencies • Cython: Only necessary to build development version. Version 0.19.1 or higher. • SciPy: miscellaneous statistical functions • PyTables: about HTML parsing libraries Note: – if you’re on a system with apt-get you can do sudo apt-get build-dep python-lxml to get the necessary dependencies for installation of lxml. This will prevent further

docstring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2640 4.3.3 How to build the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2640 4.3.4 Previewing the by parameter to DataFrame.sort_values() may refer to either columns or index level names. # Build MultiIndex In [323]: idx = pd.MultiIndex.from_tuples( .....: [("a", 1), ("a", 2), ("a", 2), ("b" ("b", 2), ("b", 1), ("b", 1)] .....: ) .....: In [324]: idx.names = ["first", "second"] # Build DataFrame In [325]: df_multi = pd.DataFrame({"A": np.arange(6, 0, -1)}, index=idx) In [326]: df_multi Out[326]:

docstring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.3 How to build the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.4 Previewing the by parameter to DataFrame.sort_values() may refer to either columns or index level names. # Build MultiIndex In [323]: idx = pd.MultiIndex.from_tuples( .....: [("a", 1), ("a", 2), ("a", 2), ("b" ("b", 2), ("b", 1), ("b", 1)] .....: ) .....: In [324]: idx.names = ["first", "second"] # Build DataFrame In [325]: df_multi = pd.DataFrame({"A": np.arange(6, 0, -1)}, index=idx) In [326]: df_multi Out[326]:

docstring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.3 How to build the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.4 Previewing the by parameter to DataFrame.sort_values() may refer to either columns or index level names. # Build MultiIndex In [323]: idx = pd.MultiIndex.from_tuples( .....: [("a", 1), ("a", 2), ("a", 2), ("b" ("b", 2), ("b", 1), ("b", 1)] .....: ) .....: In [324]: idx.names = ["first", "second"] # Build DataFrame In [325]: df_multi = pd.DataFrame({"A": np.arange(6, 0, -1)}, index=idx) In [326]: df_multi Out[326]:

the by parameter to DataFrame.sort_values() may refer to either columns or index level names. # Build MultiIndex In [323]: idx = pd.MultiIndex.from_tuples( .....: [("a", 1), ("a", 2), ("a", 2), ("b" ("b", 2), ("b", 1), ("b", 1)] .....: ) .....: In [324]: idx.names = ["first", "second"] # Build DataFrame In [325]: df_multi = pd.DataFrame({"A": np.arange(6, 0, -1)}, index=idx) In [326]: df_multi Out[326]: includes information on the field names, types, and other attributes. You can use the orient table to build a JSON string with two fields, schema and data. In [268]: df = pd.DataFrame( .....: { .....: "A":