Pandas

Python Data Analysis Library

io

• read_csv

import pandas as pd
data=pd.read_csv('cGs_for_LAMOST.csv')
data.columns
ra=data['ra']
dec=data['dec]

• read_table

：读普通的ascii文件

file=pd.read_table(path+'test1.spectrum',skiprows=range(0,6),\
                 delim_whitespace=True, names=('A', 'B', 'C'), dtype={'A': np.int64, 'B': np.float64, 'C': np.float64})

pickle

• 使用DataFrame的to_pickle属性就可以生成pickle文件对数据进行永久储存

df = pd.DataFrame(np.arange(20).reshape(4,5))
df.to_pickle('foo.pkl')
pd.read_pickle('foo.pkl')