科学边界

Pandas中有哪些非值数据1. NaN 是什么NaN是被遗失的，不属于任何类型from numpy import NaN,nanprint(nan)nanprint(NaN==True)print(NaN==False)print(NaN==0)print(NaN=='')print(NaN==NaN)print(NaN==nan)FalseFalseFalseFalseFalseFalseimport pandas as pdx = NaNy = nan

1.链接，concat1.1行链接import pandas as pddf1 = pd.read_csv('./data/concat_1.csv')print(df1)df2 = pd.read_csv('./data/concat_2.csv')print(df2)df3 = pd.read_csv('./data/concat_3.csv')print(df3) A B C D0 a0 b0 c0 d01 a1 b1 c1 d12 a2

import pandas as pdscientists = pd.read_csv('./data/scientists.csv')names = scientists['Name']print(scientists)print(names) Name Born Died Age Occupation0 Rosaline Franklin 1920-07-25 1958-04-16 37

import pandas as pdpersons = pd.DataFrame({ 'Name':['Rosaline Franklin','William Gosset'], 'Occupation':['Chemist','Statistician'], 'Born':['1920-07-25','1876-06-13'], 'Died':['1958-04-16','1937-10-16'], 'Age':[37,61]},columns=['Occupa

Series和DataFrame是Pandas里最常用的基本数据类型：1.创建Seriesimport pandas as pds1 = pd.Series([1,2,3,4,5])print(s1)0 11 22 33 44 5dtype: int64s2 = pd.Series([1,2,3.0,4,5])print(s2)0 1.01 2.02 3.03 4.04 5.0dtype: float64

DataFrame的基本元素pandas是一个可以处理文本，二维表的独立第三方库官网：https://pandas.pydata.org/import pandasdf = pandas.read_csv('./data/gapminder.tsv',sep='\t')获取前n行print(df.head()) #默认显示5行print(df.head(6)) country continent year lifeExp pop gdpPercap0

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