4.pandas基础使用

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pandas 是基于 Numpy 构建的含有更高级数据结构和工具的数据分析包
类似于 Numpy 的核心是 ndarray，pandas 也是围绕着 Series 和 DataFrame 两个核心数据结构展开的。Series 和 DataFrame 分别对应于一维的序列和二维的表结构。
安装

conda install -n tensorflow pandas

demo实例

import sysfrom pandas import Series,DataFrameimport pandas as pdprint(sys.version)'''3.5.3 |Continuum Analytics, Inc.| (default, May 15 2017, 10:43:23) [MSC v.1900 64 bit (AMD64)]'''print('Series部分')s = Series([1,2,3.0,'abc'])print(s)'''0      11      22      33    abcdtype: object'''s = Series(data=[1, 3, 5, 7], index=['a', 'b', 'x', 'y'])print(s)'''a    1b    3x    5y    7dtype: int64'''print(s.index)print(s.values)'''Index(['a', 'b', 'x', 'y'], dtype='object')[1 3 5 7]'''print('DataFrame部分')data = {'state':['Ohino','Ohino','Ohino','Nevada','Nevada'],        'year':[2000,2001,2002,2001,2002],        'pop':[1.5,1.7,3.6,2.4,2.9]}df = DataFrame(data)print(df)'''   pop   state  year0  1.5   Ohino  20001  1.7   Ohino  20012  3.6   Ohino  20023  2.4  Nevada  20014  2.9  Nevada  2002'''df = DataFrame(data,index=['one','two','three','four','five'],               columns=['year','state','pop','debt'])print(df)print(df.index)print(df.columns)print(type(df['debt']))'''       year   state  pop debtone    2000   Ohino  1.5  NaNtwo    2001   Ohino  1.7  NaNthree  2002   Ohino  3.6  NaNfour   2001  Nevada  2.4  NaNfive   2002  Nevada  2.9  NaNIndex(['one', 'two', 'three', 'four', 'five'], dtype='object')Index(['year', 'state', 'pop', 'debt'], dtype='object')<class 'pandas.core.series.Series'>'''

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