import pandas as pd import numpy as np import matplotlib.pyplot as plt # 设置输出结果列对齐 pd.set_option('display.unicode.ambiguous_as_wide',True) pd.set_option('display.unicode.east_asian_width',True) 

mydict = [{'a': 1, 'b': 2, 'c': 3, 'd': 4}, {'a': 100, 'b': 200, 'c': 300, 'd': 400}, {'a': 1000, 'b': 2000, 'c': 3000, 'd': 4000 }, {'a': 10000, 'b': 20000, 'c': 30000, 'd': 40000 }, {'a': 100000, 'b': 200000, 'c': 300000, 'd': 400000 }] df = pd.DataFrame(mydict) # 插入一个列-学号 # student_ID = pd.Series([101,102,103,104,105],name = 'ID') # df.insert(0,column='ID',value = student_ID) # df.set_index(['ID'],inplace = True) # print(df.columns) df 

	a	b	c	d
0	1	2	3	4
1	100	200	300	400
2	1000	2000	3000	4000
3	10000	20000	30000	40000
4	100000	200000	300000	400000

print(type(df.iloc[0])) df.iloc[0] 

<class 'pandas.core.series.Series'>

a    1
b    2
c    3
d    4
Name: 0, dtype: int64

print(type(df.iloc[[0]])) df.iloc[[0]] 

<class 'pandas.core.frame.DataFrame'>

	a	b	c	d
0	1	2	3	4

print(type(df.iloc[1])) df.iloc[1] 

<class 'pandas.core.series.Series'>

a    100
b    200
c    300
d    400
Name: 1, dtype: int64

print(type(df.iloc[[1]])) df.iloc[[1]] 

<class 'pandas.core.frame.DataFrame'>

	a	b	c	d
1	100	200	300	400

print(type(df.iloc[[1,2,3]])) df.iloc[[1,2,3]] 

<class 'pandas.core.frame.DataFrame'>

	a	b	c	d
1	100	200	300	400
2	1000	2000	3000	4000
3	10000	20000	30000	40000

print(type(df.iloc[1:3])) df.iloc[1:4] 

<class 'pandas.core.frame.DataFrame'>

	a	b	c	d
1	100	200	300	400
2	1000	2000	3000	4000
3	10000	20000	30000	40000