either a single character at each index of the original Series or NaN. For example, In [49]: strs = ’go’, ’bow’, ’joe’, ’slow’ In [50]: ds = Series(strs) In [51]: for s in ds.str: ....: print(s) ... all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. 1.11 v.0.7.3 (April 12, 2012) This is a minor release from 0.7.2 and release. For an up-to-date table of contents, see the pandas-cookbook GitHub repository. • A quick tour of the IPython Notebook: Shows off IPython’s awesome tab completion and magic functions. • Chapter

either a single character at each index of the original Series or NaN. For example, In [50]: strs = ’go’, ’bow’, ’joe’, ’slow’ In [51]: ds = Series(strs) In [52]: for s in ds.str: ....: print(s) ... all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. 1.12 v.0.7.3 (April 12, 2012) This is a minor release from 0.7.2 and clone the GitHub repository and get IPython Notebook running. See How to use this cookbook. • A quick tour of the IPython Notebook: Shows off IPython’s awesome tab completion and magic functions. • Chapter

(July 24, 2013) 167 pandas: powerful Python data analysis toolkit, Release 0.17.0 In [47]: strs = 'go', 'bow', 'joe', 'slow' In [48]: ds = Series(strs) In [49]: for s in ds.str: ....: print(s) ... all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. 1.19. v0.8.0 (June 29, 2012) 207 pandas: powerful Python data analysis your local repository and GitHub. 3.3.3 Forking You will need your own fork to work on the code. Go to the pandas project page and hit the fork button. You will want to clone your fork to your machine:

either a single character at each index of the original Series or NaN. For example, In [50]: strs = ’go’, ’bow’, ’joe’, ’slow’ In [51]: ds = Series(strs) In [52]: for s in ds.str: ....: print(s) ... all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. 1.16 v.0.7.3 (April 12, 2012) This is a minor release from 0.7.2 and clone the GitHub repository and get IPython Notebook running. See How to use this cookbook. • A quick tour of the IPython Notebook: Shows off IPython’s awesome tab completion and magic functions. • Chapter

either a single character at each index of the original Series or NaN. For example, In [50]: strs = ’go’, ’bow’, ’joe’, ’slow’ In [51]: ds = Series(strs) In [52]: for s in ds.str: ....: print(s) ... all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. 1.15 v.0.7.3 (April 12, 2012) This is a minor release from 0.7.2 and clone the GitHub repository and get IPython Notebook running. See How to use this cookbook. • A quick tour of the IPython Notebook: Shows off IPython’s awesome tab completion and magic functions. • Chapter

either a single character at each index of the original Series or NaN. For example, In [47]: strs = 'go', 'bow', 'joe', 'slow' 1.17. v0.12.0 (July 24, 2013) 265 pandas: powerful Python data analysis toolkit all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. v.0.7.3 (April 12, 2012) This is a minor release from 0.7.2 and fixes between your local repository and GitHub. Forking You will need your own fork to work on the code. Go to the pandas project page and hit the Fork button. You will want to clone your fork to your machine:

either a single character at each index of the original Series or NaN. For example, In [47]: strs = 'go', 'bow', 'joe', 'slow' 264 Chapter 1. What’s New pandas: powerful Python data analysis toolkit, Release all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. v.0.7.3 (April 12, 2012) This is a minor release from 0.7.2 and fixes between your local repository and GitHub. Forking You will need your own fork to work on the code. Go to the pandas project page and hit the Fork button. You will want to clone your fork to your machine:

either a single character at each index of the original Series or NaN. For example, In [47]: strs = 'go', 'bow', 'joe', 'slow' In [48]: ds = Series(strs) In [49]: for s in ds.str: ....: print(s) ... all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. 1.29 v.0.7.3 (April 12, 2012) This is a minor release from 0.7.2 and your local repository and GitHub. 3.3.3 Forking You will need your own fork to work on the code. Go to the pandas project page and hit the Fork button. You will want to clone your fork to your machine:

either a single character at each index of the original Series or NaN. For example, In [47]: strs = 'go', 'bow', 'joe', 'slow' In [48]: ds = Series(strs) In [49]: for s in ds.str: ....: print(s) ... all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. 1.28 v.0.7.3 (April 12, 2012) This is a minor release from 0.7.2 and your local repository and GitHub. 3.3.3 Forking You will need your own fork to work on the code. Go to the pandas project page and hit the Fork button. You will want to clone your fork to your machine:

either a single character at each index of the original Series or NaN. For example, In [47]: strs = 'go', 'bow', 'joe', 'slow' In [48]: ds = Series(strs) In [49]: for s in ds.str: ....: print(s) ... all is not lost: you can inspect index.is_unique and raise an exception explicitly if it is False or go to a different code branch. 1.31 v.0.7.3 (April 12, 2012) This is a minor release from 0.7.2 and your local repository and GitHub. 3.3.3 Forking You will need your own fork to work on the code. Go to the pandas project page and hit the Fork button. You will want to clone your fork to your machine: