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python Programming Glossary: df1Converting a Pandas GroupBy object to DataFrame http://stackoverflow.com/questions/10373660/converting-a-pandas-groupby-object-to-dataframe to DataFrame I'm starting with input data like this df1 pandas.DataFrame Name Alice Bob Mallory Mallory Bob Mallory.. Bob 5 Portland Mallory Grouping is simple enough g1 df1.groupby Name City .count and printing yields a GroupBy object.. Seattle 1 1 Or something like In 36 DataFrame 'count' df1.groupby Name City .size .reset_index Out 36 Name City count..
Remove rows with duplicate indices (Pandas DataFrame and TimeSeries) http://stackoverflow.com/questions/13035764/remove-rows-with-duplicate-indices-pandas-dataframe-and-timeseries 'A' range 6 'B' range 6 data1 'A' 20 30 40 'B' 50 60 70 df1 pandas.DataFrame data data index index df2 pandas.DataFrame.. index df2 pandas.DataFrame data data1 index index 3 df3 df1.append df2 df3 A B 2001 01 01 00 00 00 0 0 2001 01 01 01 00..
is it possible to do fuzzy match merge with python pandas? http://stackoverflow.com/questions/13636848/is-it-possible-to-do-fuzzy-match-merge-with-python-pandas difflib's . Say one DataFrame has the following data df1 DataFrame 1 2 3 4 5 index 'one' 'two' 'three' 'four' 'five'.. df2.index.map lambda x difflib.get_close_matches x df1.index 0 In 26 df2 Out 26 letter one a two b three c four d five.. df2 Out 26 letter one a two b three c four d five e In 31 df1.join df2 Out 31 number letter one 1 a two 2 b three 3 c four..
Finding smallest float in file then printing that and line above it http://stackoverflow.com/questions/17516639/finding-smallest-float-in-file-then-printing-that-and-line-above-it I'm doing. I've tried df open 'filepath' for line in df df1 line.split df2 min df1 Which is my attempt at at least trying.. df open 'filepath' for line in df df1 line.split df2 min df1 Which is my attempt at at least trying to isolate the smallest.. but again...no idea what I'm doing. I tried df2 min df1.seek 0 with no success got an error saying no attribute seek..
python pandas groupby() result http://stackoverflow.com/questions/17666075/python-pandas-groupby-result an apply I can't get it . In 11 g df.groupby 'A' 'B' In 12 df1 df.set_index 'A' 'B' The size groupby function is the one you.. we have to match it to the 'A' and 'B' as the index In 13 df1 'D' g.size # unfortunately this doesn't play nice with as_index.. as_index False # Same would work with g 'C' .sum In 14 df1.reset_index Out 14 A B C D 0 1 5 1 2 1 1 5 1 2 2 1 6 1 1 3 1..
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