1.
import pandas as pd web_stats = {'Day':[,,,,,],
'Visitors':[,,,,,],
'Bounce Rate':[,,,,,]} df = pd.DataFrame(web_stats)
print(df.head())
输出
Day Visitors Bounce Rate
2.
import pandas as pd web_stats = {'Day':[,,,,,],
'Visitors':[,,,,,],
'Bounce Rate':[,,,,,]} df = pd.DataFrame(web_stats)
#print(df.head())
print(df.tail())
输出:
Day Visitors Bounce Rate
3.
import pandas as pd web_stats = {'Day':[,,,,,],
'Visitors':[,,,,,],
'Bounce Rate':[,,,,,]} df = pd.DataFrame(web_stats)
#print(df.head())
print(df.tail())
输出
Day Visitors Bounce Rate
4.
import pandas as pd
import pickle
import numpy as np dates=pd.date_range('',periods=)
df = pd.DataFrame(np.random.randn(,), index=dates, columns=['A','B','C','D'])#生成6行4列位置
print(df)
输出
A B C D
-- 0.984919 -0.139348 0.160758 -0.251948
-- 0.891051 -0.116031 0.491253 0.262518
-- -0.922257 0.761505 0.690123 -1.655246
-- 0.524870 -0.704932 -0.734333 0.619541
-- -0.970407 -0.704575 -0.762169 0.829132
-- -1.630999 -1.768938 0.744758 -0.521628