forked from ujjwalkarn/DataSciencePython
-
Notifications
You must be signed in to change notification settings - Fork 0
/
basic_commands.py
80 lines (50 loc) · 1.33 KB
/
basic_commands.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
>>> a = ['a', 'b', 'c', 'd', 'e']
>>> for index, item in enumerate(a): print index, item
...
0 a
1 b
2 c
3 d
4 e
#convert a list to string:
list1 = ['1', '2', '3']
str1 = ''.join(list1)
Or if the list is of integers, convert the elements before joining them.
list1 = [1, 2, 3]
str1 = ''.join(str(e) for e in list1)
#FIND method
str.find(str2, beg=0 end=len(string))
Parameters
str2 -- This specifies the string to be searched.
beg -- This is the starting index, by default its 0.
end -- This is the ending index, by default its equal to the lenght of the string.
Return Value
This method returns index if found and -1 otherwise.
str1 = "this is string example....wow!!!";
str2 = "exam";
print str1.find(str2);
print str1.find(str2, 10);
print str1.find(str2, 40);
#15
#15
#-1
#2D LIST PYTHON
# Creates a list containing 5 lists initialized to 0
Matrix = [[0 for x in range(5)] for x in range(5)]
You can now add items to the list:
Matrix[0][0] = 1
Matrix[4][0] = 5
print Matrix[0][0] # prints 1
print Matrix[4][0] # prints 5
if you have a simple two-dimensional list like this:
A = [[1,2,3,4],
[5,6,7,8]]
then you can extract a column like this:
def column(matrix, i):
return [row[i] for row in matrix]
Extracting the second column (index 1):
>>> column(A, 1)
[2, 6]
Or alternatively, simply:
>>> [row[1] for row in A]
[2, 6]