v0.4.1 (September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 63 2 Installation 65 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . displayed? . . . . . . . . . . . . . . . . . . . . . . . . . 69 3.2 Adding Features to your Pandas Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 3.3 Migrating from scikits.timeseries strings (GH3656). Warning: You may have to install an older version of BeautifulSoup4, See the installation docs • Added module for reading and writing Stata files: pandas.io.stata (GH1512) accessable

v0.4.1 (September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 166 2 Installation 169 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . DataFrame.shift where empty columns would throw ZeroDivisionError on numpy 1.7 (GH8019) • Bug in installation where html_encoding/*.html wasn’t installed and therefore some tests were not run- ning correctly strings (GH3656). Warning: You may have to install an older version of BeautifulSoup4, See the installation docs • Added module for reading and writing Stata files: pandas.io.stata (GH1512) accessable

v0.4.1 (September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 160 2 Installation 163 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . DataFrame.shift where empty columns would throw ZeroDivisionError on numpy 1.7 (GH8019) • Bug in installation where html_encoding/*.html wasn’t installed and therefore some tests were not run- ning correctly strings (GH3656). Warning: You may have to install an older version of BeautifulSoup4, See the installation docs • Added module for reading and writing Stata files: pandas.io.stata (GH1512) accessable

v0.4.1 (September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 221 2 Installation 223 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . pandas-datareader pack- age. This will allow the data modules to be independently updated to your pandas installation. The API for pandas-datareader v0.1.1 is exactly the same as in pandas v0.17.0 (GH8961, GH10861) DataFrame({'a': np.random.randn(10)}) df.eval("b = sin(a)") The support math functions are sin, cos, exp, log, expm1, log1p, sqrt, sinh, cosh, tanh, arcsin, arccos, arctan, arccosh, arcsinh, arctanh, abs and arctan2

v0.4.1 (September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 95 2 Installation 97 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . displayed? . . . . . . . . . . . . . . . . . . . . . . . . . 101 3.2 Adding Features to your Pandas Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 3.3 Migrating from scikits strings (GH3656). Warning: You may have to install an older version of BeautifulSoup4, See the installation docs • Added module for reading and writing Stata files: pandas.io.stata (GH1512) accessable

v0.4.1 (September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 122 2 Installation 125 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . displayed? . . . . . . . . . . . . . . . . . . . . . . . . . 129 3.2 Adding Features to your Pandas Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 3.3 Migrating from scikits strings (GH3656). Warning: You may have to install an older version of BeautifulSoup4, See the installation docs • Added module for reading and writing Stata files: pandas.io.stata (GH1512) accessable

Performance Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321 2 Installation 323 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323 2.2.1 Trying out pandas, no installation required! . . . . . . . . . . . . . . . . . . . . . . . . . . 323 2.2.2 Installing pandas with pandas-datareader pack- age. This will allow the data modules to be independently updated to your pandas installation. The API for pandas-datareader v0.1.1 is exactly the same as in pandas v0.17.0 (GH8961, GH10861)

v0.4.1 (September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 16 2 Installation 19 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . stacked=True) 4 Chapter 1. What’s New pandas: powerful Python data analysis toolkit, Release 0.7.3 • Add log x and y scaling options to DataFrame.plot and Series.plot • Add kurt methods to Series and DataFrame attribute-based item access to Panel and add IPython completion (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames

Performance Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320 2 Installation 321 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321 2.2.1 Trying out pandas, no installation required! . . . . . . . . . . . . . . . . . . . . . . . . . . 321 2.2.2 Installing pandas with pandas-datareader pack- age. This will allow the data modules to be independently updated to your pandas installation. The API for pandas-datareader v0.1.1 is exactly the same as in pandas v0.17.0 (GH8961, GH10861)

Performance Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369 2 Installation 371 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . pandas-datareader pack- age. This will allow the data modules to be independently updated to your pandas installation. The API for pandas-datareader v0.1.1 is exactly the same as in pandas v0.17.0 (GH8961, GH10861) DataFrame({'a': np.random.randn(10)}) df.eval("b = sin(a)") The support math functions are sin, cos, exp, log, expm1, log1p, sqrt, sinh, cosh, tanh, arcsin, arccos, arctan, arccosh, arcsinh, arctanh, abs and arctan2