Brief theoretical introduction to Pandas: the Python library that is used primarily for manipulation and data analysis. Here we'll explain when it is convenient to work with this one, its main characteristics and the operations that allows.

2. 1
2
3

3. 1.

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7. “
http://www.dlr.de/sc/Portaldata/15/Resources/dokumente/pyhpc2011/submissions/pyhpc2011_submission_9.pdf

11. 2.

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A
B
C
D
E
13
4
1
30
9
INDEX VALUES

13. ●
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A
B
C
D
E
13
4
1
30
9
INDEX
COLUMNS
do
re
fa
si
mi
0.1
I J K L
NA
-3
4.6
3
false
false
true
true
false

14. ○
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○

15. A
B
C
D
E
13
4
1
30
9
do
re
fa
si
mi
0.1
I J K L
NA
-3
4.6
3
false
false
true
true
false

16. A
B
C
D
E
13
4
1
30
9
do
re
fa
si
mi
0.1
I J K L
NA
-3
4.6
3
false
false
true
true
false

17. A
B
C
D
E
13
4
1
30
9
do
re
fa
si
mi
0.1
I J K L
NA
-3
4.6
3
false
false
true
true
false

18. A
B
C
D
C
D
E
F
A
B
C
D
E
F
x y

19. A
B
C
D
E
F
x y
C
D
A
B
C
D
E
F
0
0
0
0
x y

20. ●
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21. A
B
C
D
C
D
E
F
C
D

22. a
b
c
d
c
d
e
A A
c
d
A

23. a
b
c
d
c
d
e
A A
a
b
A
c
d
c
d
A
e

24. a
b
c
d
c
d
e
c
d
c
d
A B A B

25. A
B
C
A
4
2
3
1
B
C
3
2
A
A
4
1
B
B
2
3
C
C
3
2
A
B
C
5
5
5

26. ○
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27. 3.

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