pandas读取excel,txt,csv,pkl文件等命令的操作

1 2019-03-22 00:06:24.4463094 中文测试 
2 2019-03-22 00:06:32.4565680 需要编辑encoding 
3 2019-03-22 00:06:32.6835965 ashshsh 
4 2017-03-22 00:06:32.8041945 eggg

import pandas as pd
df = pd.read_table("./test.txt")
print(df)
 
import pandas as pd
df = pd.read_csv("./test.txt")
print(df)

import pandas as pd
df = pd.read_csv("./test.txt")
print(type(df))
print(df.shape)
 
<class 'pandas.core.frame.DataFrame'>
(3, 1)

df = pd.read_csv("./test.txt",sep=' ')

>>> original_df = pd.DataFrame({"foo": range(5), "bar": range(5, 10)})
>>> original_df
 foo bar
0 0 5
1 1 6
2 2 7
3 3 8
4 4 9
>>> pd.to_pickle(original_df, "./dummy.pkl")

>>> unpickled_df = pd.read_pickle("./dummy.pkl")
>>> unpickled_df
 foo bar
0 0 5
1 1 6
2 2 7
3 3 8
4 4 9

>>> import os
>>> os.remove("./dummy.pkl")

import platform
import pandas as pd
if platform.system() == 'Windows':
 home_dir = r'F:\python_项目\主后台\r360_taobao\moxin' #本地地址
else:
 home_dir = r'/home/TG_MASTER_ADMIN_API/r360_taobao/moxin' #线上的路径找到文件前一个文件夹
def testMx():
 box = pd.read_excel(home_dir+'/规则新版设计1.xlsx', sheet_name='宜信标准评分卡')
 print("excel\t\t",box)
 box = pd.read_pickle(home_dir + '/foo.pkl')
 print("pkl\t\t",box)
if __name__ == '__main__':
 testMx()