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python Programming Glossary: df2

Python Pandas: how to turn a DataFrame with “factors” into a design matrix for linear regression?

http://stackoverflow.com/questions/10196860/python-pandas-how-to-turn-a-dataframe-with-factors-into-a-design-matrix-for-l

I am thinking of the example comes from the Pandas manual df2 DataFrame 'a' 'one' 'one' 'two' 'three' 'two' 'one' 'six' 'b'.. 'b' 'x' 'y' 'y' 'x' 'y' 'x' 'x' 'c' np.random.randn 7 df2 a b c 0 one x 0.000343 1 one y 0.055651 2 two y 0.249194 3 three..

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

columns 'number' number one 1 two 2 three 3 four 4 five 5 df2 DataFrame 'a' 'b' 'c' 'd' 'e' index 'one' 'too' 'three' 'fours'.. suggestion you can apply difflib 's get_closest_matches to df2 's index and then apply a join In 23 import difflib In 24 difflib.get_close_matches.. Out 24 function difflib.get_close_matches In 25 df2.index df2.index.map lambda x difflib.get_close_matches x df1.index..

make matplotlib draw() only show new point

http://stackoverflow.com/questions/16447812/make-matplotlib-draw-only-show-new-point

111 projection '3d' count 0 plotting True while plotting df2 df.ix count count 1 xs df2 'x.mean' ys df2 'y.mean' zs df2 'z.mean'.. 0 plotting True while plotting df2 df.ix count count 1 xs df2 'x.mean' ys df2 'y.mean' zs df2 'z.mean' t df2 'time' ax.scatter.. while plotting df2 df.ix count count 1 xs df2 'x.mean' ys df2 'y.mean' zs df2 'z.mean' t df2 'time' ax.scatter xs ys zs ax.set_xlabel..

matplotlib 3d plot with changing labels

http://stackoverflow.com/questions/16468538/matplotlib-3d-plot-with-changing-labels

labels ax.set_zticklabels labels lin None while plotting df2 df.ix count count 1 xs df2 'x.mean' ys df2 'y.mean' zs df2 'z.mean'.. labels lin None while plotting df2 df.ix count count 1 xs df2 'x.mean' ys df2 'y.mean' zs df2 'z.mean' t df2 'time' ax.set_title.. while plotting df2 df.ix count count 1 xs df2 'x.mean' ys df2 'y.mean' zs df2 'z.mean' t df2 'time' ax.set_title t if lin..

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

tried df open 'filepath' for line in df df1 line.split df2 min df1 Which is my attempt at at least trying to isolate the.. the iteration but again...no idea what I'm doing. I tried df2 min df1.seek 0 with no success got an error saying no attribute..