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pandas

pandas是比numpy高级的操作数组，大部分用法相同

常用数据类型

Series一维，带标签数组

DataFrame二维，Series容器

创建Series一维，带标签数组

import pandas as pd
t1 = pd.Series(数组,index)
t2 = pd.Series(字典)如果索引没有对应的值就会自动为NaN，同时类型会为float型

import pandas as pd
t = pd.Series([1,2,3,4,5],index=list('abcde'))
print(t)a    1
b    2
c    3
d    4
e    5
dtype: int64

import pandas as pd
dic = {'age':11,'name':'xiaoming','tel':10086}
t = pd.Series(dic)
print(t)age           11
name    xiaoming
tel        10086
dtype: object

切片和索引

可通过切片和索引访问值

import pandas as pd
dic = {'age':11,'name':'xiaoming','tel':10086}
t = pd.Series(dic)
print(t)
print()
print(t['age'])
print(t[0])
print(t[:1])age           11
name    xiaoming
tel        10086
dtype: object11
11
age    11
dtype: object

 索引和值

import pandas as pd
dic = {'age':11,'name':'xiaoming','tel':10086}
t = pd.Series(dic)
a = t.index
b = t.values
print(a)
print(b)Index(['age', 'name', 'tel'], dtype='object')
[11 'xiaoming' 10086]

读取外部数据

import pandas as pd
pd.read_csv(file)
flie为文件路径df = pd.read_csv('data.csv')