python学习笔记：panda数据结构

[mw_shl_code=python,false]import pandas as pd
import numpy as np

s1 = pd.Series([1, "a", 5.2, 7])

s1.index

s1.values

s2 = pd.Series([1, "dfd", {"a": 1}], index=["da", "e", "f"])

s2.index

sdata = {"dfd": 35000, "tex":72000, "oreag": 16000, "lisa": 5000}

s3 = pd.Series(sdata)

s2["f"]

type(s2)

type(s2["f"])

type(s2[['da', 'e']])

data = {
    'state': ["a","b","c","d","e"],
    'year': [1999,1983,2003,2007,1960],
    'pop': [1.5,1.7, 1.9,2.4,2.9]
}
df = pd.DataFrame(data)



df.dtypes

df.columns

df.index


df[['year', 'pop']]

df.loc[1]

df.loc[0]

df.loc[1:3]
df['year']
[/mw_shl_code]