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목록pandas (11)
その先にあるもの…
http://pandas.pydata.org/pandas-docs/stable/api.html#function-application-groupby-window 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108import pandasimport numpy df = pandas.DataFrame( [[1.4,numpy.nan],[7.1,-4.5], [numpy.nan,nump..
1234567891011121314151617181920212223242526272829303132333435363738394041import pandasimport numpy obj = pandas.Series(range(5), index=['a','a','b','b','c'])print(obj)a 0a 1b 2b 3c 4dtype: int32 #인덱스가 유일한 값인가?print(obj.index.is_unique)False print( obj['a'] )a 0a 1dtype: int32 print( obj['c'] )4 df = pandas.DataFrame(numpy.random.randn(4,3), index=['a','a','b','b'])print( df ) 0 1 2a -0.521630 -0..
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139import pandasimport numpy obj = pandas.Series( range(4), index=['d','a','b','c'] )print(o..
12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849import pandasimport numpy frame = pandas.DataFrame( numpy.random.randn(4,3), columns = list('bde'), index=['utah','ohio','texas','oregon'] ) f = lambda x : x.max() - x.min() print( frame.apply(f) )b 2.511097d 2.642278e 2.627046dtype: float64 print( frame.apply(f, axis=1) )utah 1.174831ohio 4.127525texas 1.51..
###--- 생성---###12345678910111213import pandas data = { 'state' : ['ohio','ohio','ohio','nevada','nevada'], 'year': [200,2001,2002,2001,2002], 'pop' : [1.5,1.7,3.6,2.4,2.9] }frame = pandas.DataFrame(data) pop state year0 1.5 ohio 2001 1.7 ohio 20012 3.6 ohio 20023 2.4 nevada 20014 2.9 nevada 2002Colored by Color Scriptercs 1234567891011121314import pandas data = { 'state' : ['ohio','ohio','ohio',..