1. Excel，与上一节同
2. Pandas
import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
students = pd.concat([page_001,page_002],axis=1)
print(students)runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID Name Score ID Name Score
0 1 Student_001 90 21 Student_021 80
1 2 Student_002 90 22 Student_022 80
2 3 Student_003 90 23 Student_023 80
3 4 Student_004 90 24 Student_024 80
4 5 Student_005 90 25 Student_025 80
5 6 Student_006 90 26 Student_026 80
6 7 Student_007 90 27 Student_027 80
7 8 Student_008 90 28 Student_028 80
8 9 Student_009 90 29 Student_029 80
9 10 Student_010 90 30 Student_030 80
10 11 Student_011 90 31 Student_031 80
11 12 Student_012 90 32 Student_032 80
12 13 Student_013 90 33 Student_033 80
13 14 Student_014 90 34 Student_034 80
14 15 Student_015 90 35 Student_035 80
15 16 Student_016 90 36 Student_036 80
16 17 Student_017 90 37 Student_037 80
17 18 Student_018 90 38 Student_038 80
18 19 Student_019 90 39 Student_039 80
19 20 Student_020 90 40 Student_040 80import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
# students = pd.concat([page_001,page_002],axis=1)
students = pd.concat([page_001,page_002])
print(students)runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID Name Score
0 1 Student_001 90
1 2 Student_002 90
2 3 Student_003 90
3 4 Student_004 90
4 5 Student_005 90
5 6 Student_006 90
6 7 Student_007 90
7 8 Student_008 90
8 9 Student_009 90
9 10 Student_010 90
10 11 Student_011 90
11 12 Student_012 90
12 13 Student_013 90
13 14 Student_014 90
14 15 Student_015 90
15 16 Student_016 90
16 17 Student_017 90
17 18 Student_018 90
18 19 Student_019 90
19 20 Student_020 90
0 21 Student_021 80
1 22 Student_022 80
2 23 Student_023 80
3 24 Student_024 80
4 25 Student_025 80
5 26 Student_026 80
6 27 Student_027 80
7 28 Student_028 80
8 29 Student_029 80
9 30 Student_030 80
10 31 Student_031 80
11 32 Student_032 80
12 33 Student_033 80
13 34 Student_034 80
14 35 Student_035 80
15 36 Student_036 80
16 37 Student_037 80
17 38 Student_038 80
18 39 Student_039 80
19 40 Student_040 80import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
# students = pd.concat([page_001,page_002],axis=1)
students = pd.concat([page_001,page_002]).reset_index(drop=True)
print(students)runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID Name Score
0 1 Student_001 90
1 2 Student_002 90
2 3 Student_003 90
3 4 Student_004 90
4 5 Student_005 90
5 6 Student_006 90
6 7 Student_007 90
7 8 Student_008 90
8 9 Student_009 90
9 10 Student_010 90
10 11 Student_011 90
11 12 Student_012 90
12 13 Student_013 90
13 14 Student_014 90
14 15 Student_015 90
15 16 Student_016 90
16 17 Student_017 90
17 18 Student_018 90
18 19 Student_019 90
19 20 Student_020 90
20 21 Student_021 80
21 22 Student_022 80
22 23 Student_023 80
23 24 Student_024 80
24 25 Student_025 80
25 26 Student_026 80
26 27 Student_027 80
27 28 Student_028 80
28 29 Student_029 80
29 30 Student_030 80
30 31 Student_031 80
31 32 Student_032 80
32 33 Student_033 80
33 34 Student_034 80
34 35 Student_035 80
35 36 Student_036 80
36 37 Student_037 80
37 38 Student_038 80
38 39 Student_039 80
39 40 Student_040 80
New Add Column
import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
# students = pd.concat([page_001,page_002],axis=1)
students = pd.concat([page_001,page_002]).reset_index(drop=True)
#students['Age']=25
students['Age']=np.repeat(25,len(students))
print(students)runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID Name Score Age
0 1 Student_001 90 25
1 2 Student_002 90 25
2 3 Student_003 90 25
3 4 Student_004 90 25
4 5 Student_005 90 25
5 6 Student_006 90 25
6 7 Student_007 90 25
7 8 Student_008 90 25
8 9 Student_009 90 25
9 10 Student_010 90 25
10 11 Student_011 90 25
11 12 Student_012 90 25
12 13 Student_013 90 25
13 14 Student_014 90 25
14 15 Student_015 90 25
15 16 Student_016 90 25
16 17 Student_017 90 25
17 18 Student_018 90 25
18 19 Student_019 90 25
19 20 Student_020 90 25
20 21 Student_021 80 25
21 22 Student_022 80 25
22 23 Student_023 80 25
23 24 Student_024 80 25
24 25 Student_025 80 25
25 26 Student_026 80 25
26 27 Student_027 80 25
27 28 Student_028 80 25
28 29 Student_029 80 25
29 30 Student_030 80 25
30 31 Student_031 80 25
31 32 Student_032 80 25
32 33 Student_033 80 25
33 34 Student_034 80 25
34 35 Student_035 80 25
35 36 Student_036 80 25
36 37 Student_037 80 25
37 38 Student_038 80 25
38 39 Student_039 80 25
39 40 Student_040 80 25import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
# students = pd.concat([page_001,page_002],axis=1)
students = pd.concat([page_001,page_002]).reset_index(drop=True)
#students['Age']=25
# students['Age']=np.repeat(25,len(students))
students['Age']=np.arange(0,len(students))
print(students)runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID Name Score Age
0 1 Student_001 90 0
1 2 Student_002 90 1
2 3 Student_003 90 2
3 4 Student_004 90 3
4 5 Student_005 90 4
5 6 Student_006 90 5
6 7 Student_007 90 6
7 8 Student_008 90 7
8 9 Student_009 90 8
9 10 Student_010 90 9
10 11 Student_011 90 10
11 12 Student_012 90 11
12 13 Student_013 90 12
13 14 Student_014 90 13
14 15 Student_015 90 14
15 16 Student_016 90 15
16 17 Student_017 90 16
17 18 Student_018 90 17
18 19 Student_019 90 18
19 20 Student_020 90 19
20 21 Student_021 80 20
21 22 Student_022 80 21
22 23 Student_023 80 22
23 24 Student_024 80 23
24 25 Student_025 80 24
25 26 Student_026 80 25
26 27 Student_027 80 26
27 28 Student_028 80 27
28 29 Student_029 80 28
29 30 Student_030 80 29
30 31 Student_031 80 30
31 32 Student_032 80 31
32 33 Student_033 80 32
33 34 Student_034 80 33
34 35 Student_035 80 34
35 36 Student_036 80 35
36 37 Student_037 80 36
37 38 Student_038 80 37
38 39 Student_039 80 38
39 40 Student_040 80 39Delete Column
import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
# students = pd.concat([page_001,page_002],axis=1)
students = pd.concat([page_001,page_002]).reset_index(drop=True)
#students['Age']=25
# students['Age']=np.repeat(25,len(students))
students['Age']=np.arange(0,len(students))
students.drop(columns=['Age','Score'],inplace=True)
print(students)
runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID Name
0 1 Student_001
1 2 Student_002
2 3 Student_003
3 4 Student_004
4 5 Student_005
5 6 Student_006
6 7 Student_007
7 8 Student_008
8 9 Student_009
9 10 Student_010
10 11 Student_011
11 12 Student_012
12 13 Student_013
13 14 Student_014
14 15 Student_015
15 16 Student_016
16 17 Student_017
17 18 Student_018
18 19 Student_019
19 20 Student_020
20 21 Student_021
21 22 Student_022
22 23 Student_023
23 24 Student_024
24 25 Student_025
25 26 Student_026
26 27 Student_027
27 28 Student_028
28 29 Student_029
29 30 Student_030
30 31 Student_031
31 32 Student_032
32 33 Student_033
33 34 Student_034
34 35 Student_035
35 36 Student_036
36 37 Student_037
37 38 Student_038
38 39 Student_039
39 40 Student_040Insert column
import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
# students = pd.concat([page_001,page_002],axis=1)
students = pd.concat([page_001,page_002]).reset_index(drop=True)
#students['Age']=25
# students['Age']=np.repeat(25,len(students))
students['Age']=np.arange(0,len(students))
students.drop(columns=['Age','Score'],inplace=True)
students.insert(1,column='Foo',value=np.repeat('foo',len(students)))
print(students)runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID Foo Name
0 1 foo Student_001
1 2 foo Student_002
2 3 foo Student_003
3 4 foo Student_004
4 5 foo Student_005
5 6 foo Student_006
6 7 foo Student_007
7 8 foo Student_008
8 9 foo Student_009
9 10 foo Student_010
10 11 foo Student_011
11 12 foo Student_012
12 13 foo Student_013
13 14 foo Student_014
14 15 foo Student_015
15 16 foo Student_016
16 17 foo Student_017
17 18 foo Student_018
18 19 foo Student_019
19 20 foo Student_020
20 21 foo Student_021
21 22 foo Student_022
22 23 foo Student_023
23 24 foo Student_024
24 25 foo Student_025
25 26 foo Student_026
26 27 foo Student_027
27 28 foo Student_028
28 29 foo Student_029
29 30 foo Student_030
30 31 foo Student_031
31 32 foo Student_032
32 33 foo Student_033
33 34 foo Student_034
34 35 foo Student_035
35 36 foo Student_036
36 37 foo Student_037
37 38 foo Student_038
38 39 foo Student_039
39 40 foo Student_040Update title
import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
# students = pd.concat([page_001,page_002],axis=1)
students = pd.concat([page_001,page_002]).reset_index(drop=True)
#students['Age']=25
# students['Age']=np.repeat(25,len(students))
students['Age']=np.arange(0,len(students))
students.drop(columns=['Age','Score'],inplace=True)
students.insert(1,column='Foo',value=np.repeat('foo',len(students)))
students.rename(columns={'Foo':'FOO','Name':'NAME'},inplace=True)
print(students)runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID FOO NAME
0 1 foo Student_001
1 2 foo Student_002
2 3 foo Student_003
3 4 foo Student_004
4 5 foo Student_005
5 6 foo Student_006
6 7 foo Student_007
7 8 foo Student_008
8 9 foo Student_009
9 10 foo Student_010
10 11 foo Student_011
11 12 foo Student_012
12 13 foo Student_013
13 14 foo Student_014
14 15 foo Student_015
15 16 foo Student_016
16 17 foo Student_017
17 18 foo Student_018
18 19 foo Student_019
19 20 foo Student_020
20 21 foo Student_021
21 22 foo Student_022
22 23 foo Student_023
23 24 foo Student_024
24 25 foo Student_025
25 26 foo Student_026
26 27 foo Student_027
27 28 foo Student_028
28 29 foo Student_029
29 30 foo Student_030
30 31 foo Student_031
31 32 foo Student_032
32 33 foo Student_033
33 34 foo Student_034
34 35 foo Student_035
35 36 foo Student_036
36 37 foo Student_037
37 38 foo Student_038
38 39 foo Student_039
39 40 foo Student_040
import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
# students = pd.concat([page_001,page_002],axis=1)
students = pd.concat([page_001,page_002]).reset_index(drop=True)
#students['Age']=25
# students['Age']=np.repeat(25,len(students))
students['Age']=np.arange(0,len(students))
students.drop(columns=['Age','Score'],inplace=True)
students.insert(1,column='Foo',value=np.repeat('foo',len(students)))
students.rename(columns={'Foo':'FOO','Name':'NAME'},inplace=True)
students['ID']=students['ID'].astype(float)
for i in range(5,15):
students['ID'].at[i] = np.nan
print(students)runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID FOO NAME
0 1.0 foo Student_001
1 2.0 foo Student_002
2 3.0 foo Student_003
3 4.0 foo Student_004
4 5.0 foo Student_005
5 NaN foo Student_006
6 NaN foo Student_007
7 NaN foo Student_008
8 NaN foo Student_009
9 NaN foo Student_010
10 NaN foo Student_011
11 NaN foo Student_012
12 NaN foo Student_013
13 NaN foo Student_014
14 NaN foo Student_015
15 16.0 foo Student_016
16 17.0 foo Student_017
17 18.0 foo Student_018
18 19.0 foo Student_019
19 20.0 foo Student_020
20 21.0 foo Student_021
21 22.0 foo Student_022
22 23.0 foo Student_023
23 24.0 foo Student_024
24 25.0 foo Student_025
25 26.0 foo Student_026
26 27.0 foo Student_027
27 28.0 foo Student_028
28 29.0 foo Student_029
29 30.0 foo Student_030
30 31.0 foo Student_031
31 32.0 foo Student_032
32 33.0 foo Student_033
33 34.0 foo Student_034
34 35.0 foo Student_035
35 36.0 foo Student_036
36 37.0 foo Student_037
37 38.0 foo Student_038
38 39.0 foo Student_039
39 40.0 foo Student_040
import pandas as pd
import numpy as np
page_001 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_001')
page_002 = pd.read_excel('C:/Tools/Python/Pandas/027/Students.xlsx',sheet_name='Page_002')
# students = pd.concat([page_001,page_002],axis=1)
students = pd.concat([page_001,page_002]).reset_index(drop=True)
#students['Age']=25
# students['Age']=np.repeat(25,len(students))
students['Age']=np.arange(0,len(students))
students.drop(columns=['Age','Score'],inplace=True)
students.insert(1,column='Foo',value=np.repeat('foo',len(students)))
students.rename(columns={'Foo':'FOO','Name':'NAME'},inplace=True)
students['ID']=students['ID'].astype(float)
for i in range(5,15):
students['ID'].at[i] = np.nan
students.dropna(inplace=True)
print(students)runfile('C:/Tools/Python/python资料/00-1903XLY/day04/day04/code/pandasDemo20.py', wdir='C:/Tools/Python/python资料/00-1903XLY/day04/day04/code')
ID FOO NAME
0 1.0 foo Student_001
1 2.0 foo Student_002
2 3.0 foo Student_003
3 4.0 foo Student_004
4 5.0 foo Student_005
15 16.0 foo Student_016
16 17.0 foo Student_017
17 18.0 foo Student_018
18 19.0 foo Student_019
19 20.0 foo Student_020
20 21.0 foo Student_021
21 22.0 foo Student_022
22 23.0 foo Student_023
23 24.0 foo Student_024
24 25.0 foo Student_025
25 26.0 foo Student_026
26 27.0 foo Student_027
27 28.0 foo Student_028
28 29.0 foo Student_029
29 30.0 foo Student_030
30 31.0 foo Student_031
31 32.0 foo Student_032
32 33.0 foo Student_033
33 34.0 foo Student_034
34 35.0 foo Student_035
35 36.0 foo Student_036
36 37.0 foo Student_037
37 38.0 foo Student_038
38 39.0 foo Student_039
39 40.0 foo Student_040
