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
|
%% Cell type:markdown id:0aac5da7-745c-4eda-847a-3d0d07a1bb9b tags:
# This is a markdown cell
This paragraph has
With
Many
Lines. How we will he handle MR notes?
But I can add another paragraph
%% Cell type:raw id:faecea5b-de0a-49fa-9a3a-61c2add652da tags:
This is a raw cell
With
Multiple lines
%% Cell type:code id:893ca2c0-ab75-4276-9dad-be1c40e16e8a tags:
``` python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
```
%% Cell type:code id:0d707fb5-226f-46d6-80bd-489ebfb8905c tags:
``` python
np.random.seed(42)
```
%% Cell type:code id:35467fcf-28b1-4c7b-bb09-4cb192c35293 tags:senoid
``` python
x = np.linspace(0, 4*np.pi,50)
y = np.sin(x)
plt.plot(x, y)
```
%% Output
[<matplotlib.lines.Line2D at 0x123e39370>]
%% Cell type:code id:dc1178cd-c46d-4da3-9ab5-08f000699884 tags:
``` python
df = pd.DataFrame({"x": x, "y": y})
```
%% Cell type:code id:6e749b4f-b409-4700-870f-f68c39462490 tags:some-table
``` python
df[:2]
```
%% Output
x y
0 0.000000 0.000000
1 0.256457 0.253655
%% Cell type:code id:0ddef5ef-94a3-4afd-9c70-ddee9694f512 tags:
``` python
```
|
