DataFrame有非常豐富的IO方法，比如DataFrame讀寫csv檔案excel檔案等等，操作很簡單。下面在程式碼中標記出來一些常用的讀寫操作方法，需要的時候查詢一下該方法就可以了。

import pandas as pd
from pandas import Series, DataFrame

import webbrowser
link = 'http://pandas.pydata.org/pandas-docs/version/0.20/io.html'
webbrowser.open(link)

df1 = pd.read_clipboard()
print(df1)
'''
   Format Type      Data Description          Reader        Writer
0         text                   CSV        read_csv        to_csv
1         text                  JSON       read_json       to_json
2         text                  HTML       read_html       to_html
3         text       Local clipboard  read_clipboard  to_clipboard
4       binary              MS Excel      read_excel      to_excel
5       binary           HDF5 Format        read_hdf        to_hdf
6       binary        Feather Format    read_feather    to_feather
7       binary               Msgpack    read_msgpack    to_msgpack
8       binary                 Stata      read_stata      to_stata
9       binary                   SAS        read_sas              
10      binary  Python Pickle Format     read_pickle     to_pickle
11         SQL                   SQL        read_sql        to_sql
12         SQL      Google Big Query        read_gbq        to_gbq
'''
 


df1.to_csv('df1.csv') # 預設會把 index 也當成一列寫入到檔案中

df1.to_csv('df2.csv', index=False) # 如果不想顯示索引，可以新增第二個引數 index = False

print(df1.to_json())

df1.to_excel('df1.xlsx')