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summary() method to all pandas objects. #196
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Have you tried .describe()? |
You already implemented it. Great!. One minor suggestion. I don't know why 25% and 75% were not included there. As we all know, they also defines IQR. How about adding them? |
I agree it should be 1st and 3rd quartiles instead of 1st / 9th deciles by default. I'll make that change in 0.4.3 |
Changed in the above commit |
yarikoptic
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* commit 'v0.4.3': (97 commits) Version 0.4.3 RLS: release notes BUG: to_csv test failure on windows python3 TST: test failure on windows with Series.to_csv TST: skip scikits.statsmodels-depending tests if not installed BUG: version_info is a tuple in python <= 2.5 TST: use to_string instead to avoid futurewarning BUG: explicit CSV lineterminator='\n' to work around 3.1/3.2 csv module bug on Win32 TST: is_lexsorted test failure on py3.1/win32 BUG: work around unicode bug in py3.1 on win32 TST: skip test on sparse. release notes BLD: only import setuptools in py3k as cython command doesn't currently work ENH: print 25%-75% quartiles instead of 10%-90% deciles in describe. Address discussion in GH pandas-dev#196 RLS: update release notes Fix bug writing Series to CSV in Python 3. Add trove classifiers for Python 3 compatibility. Add isnull and notnull methods to Series. RLS: update release notes BUG: change python access to buffer access ENH: SparseSeries binary op speed enhancement in the block case, address GH pandas-dev#205 ...
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…te_fix Tickstore top level write fix
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I always envy summary() function in R. It is really useful in displaying basic statistics of each object. How about supporting the method for all pandas objects?
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